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Ehrhardt NM, Flöel A, Li SC, Lucchese G, Antonenko D. Brain oscillatory processes related to sequence memory in healthy older adults. Neurobiol Aging 2024; 139:64-72. [PMID: 38626525 DOI: 10.1016/j.neurobiolaging.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 02/05/2024] [Accepted: 04/02/2024] [Indexed: 04/18/2024]
Abstract
Sequence memory is subject to age-related decline, but the underlying processes are not yet fully understood. We analyzed electroencephalography (EEG) in 21 healthy older (60-80 years) and 26 young participants (20-30 years) and compared time-frequency spectra and theta-gamma phase-amplitude-coupling (PAC) during encoding of the order of visually presented items. In older adults, desynchronization in theta (4-8 Hz) and synchronization in gamma (30-45 Hz) power did not distinguish between subsequently correctly and incorrectly remembered trials, while there was a subsequent memory effect for young adults. Theta-gamma PAC was modulated by item position within a sequence for older but not young adults. Specifically, position within a sequence was coded by higher gamma amplitude for successive theta phases for later correctly remembered trials. Thus, deficient differentiation in theta desynchronization and gamma oscillations during sequence encoding in older adults may reflect neurophysiological correlates of age-related memory decline. Furthermore, our results indicate that sequences are coded by theta-gamma PAC in older adults, but that this mechanism might lose precision in aging.
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Affiliation(s)
- Nina M Ehrhardt
- Department of Neurology, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, Greifswald 17475, Germany.
| | - Agnes Flöel
- Department of Neurology, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, Greifswald 17475, Germany; German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, Greifswald, Germany
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, TU Dresden, Zellescher Weg 17, Dresden 01062, Germany; Centre for Tactile Internet with Human-in-the-Loop, TU Dresden, Dresden 01062, Germany
| | - Guglielmo Lucchese
- Department of Neurology, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, Greifswald 17475, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatry University Hospital Zurich, University of Zurich, Lengstrasse 31, Zurich, Switzerland.
| | - Daria Antonenko
- Department of Neurology, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, Greifswald 17475, Germany
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Kang K, Antonenko D, Glöckner F, Flöel A, Li SC. Neural correlates of home-based intervention effects on value-based sequential decision-making in healthy older adults. Aging Brain 2024; 5:100109. [PMID: 38380149 PMCID: PMC10876581 DOI: 10.1016/j.nbas.2024.100109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 02/03/2024] [Accepted: 02/05/2024] [Indexed: 02/22/2024] Open
Abstract
Older adults demonstrate difficulties in sequential decision-making, which is partly attributed to under-recruitment of prefrontal networks. It is, therefore, important to understand the mechanisms that may improve this ability. This study investigated the effectiveness of an 18-sessions, home-based cognitive intervention and the neural mechanisms that underpin individual differences in intervention effects. Participants were required to learn sequential choices in a 3-stage Markov decision-making task that would yield the most rewards. Participants were assigned to better or worse responders group based on their performance at the last intervention session (T18). Better responders improved significantly starting from the fifth intervention session while worse responders did not improve across all training sessions. At post-intervention, only better responders showed condition-dependent modulation of the dorsolateral prefrontal cortex (DLPFC) as measured by fNIRS, with higher DLPFC activity in the delayed condition. Despite large individual differences, our data showed that value-based sequential-decision-making and its corresponding neural mechanisms can be remediated via home-based cognitive intervention in some older adults; moreover, individual differences in recruiting prefrontal activities after the intervention are associated with variations in intervention outcomes. Intervention-related gains were also maintained at three months after post-intervention. However, future studies should investigate the potential of combining other intervention methods such as non-invasive brain stimulation with cognitive intervention for older adults who do not respond to the intervention, thus emphasizing the importance of developing individualized intervention programs for older adults.
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Affiliation(s)
- Kathleen Kang
- Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Dresden, Germany
| | - Daria Antonenko
- Department of Neurology, University Medicine of Greifswald, Greifswald, Germany
| | - Franka Glöckner
- Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Dresden, Germany
| | - Agnes Flöel
- Department of Neurology, University Medicine of Greifswald, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, Greifswald, Germany
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Dresden, Germany
- Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
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Antonenko D, Fromm AE, Thams F, Kuzmina A, Backhaus M, Knochenhauer E, Li SC, Grittner U, Flöel A. Cognitive training and brain stimulation in patients with cognitive impairment: a randomized controlled trial. Alzheimers Res Ther 2024; 16:6. [PMID: 38212815 PMCID: PMC10782634 DOI: 10.1186/s13195-024-01381-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 01/01/2024] [Indexed: 01/13/2024]
Abstract
BACKGROUND Repeated sessions of training and non-invasive brain stimulation have the potential to enhance cognition in patients with cognitive impairment. We hypothesized that combining cognitive training with anodal transcranial direct current stimulation (tDCS) will lead to performance improvement in the trained task and yield transfer to non-trained tasks. METHODS In our randomized, sham-controlled, double-blind study, 46 patients with cognitive impairment (60-80 years) were randomly assigned to one of two interventional groups. We administered a 9-session cognitive training (consisting of a letter updating and a Markov decision-making task) over 3 weeks with concurrent 1-mA anodal tDCS over the left dorsolateral prefrontal cortex (20 min in tDCS, 30 s in sham group). Primary outcome was trained task performance (letter updating task) immediately after training. Secondary outcomes included performance in tasks testing working memory (N-back task), decision-making (Wiener Matrices test) and verbal memory (verbal learning and memory test), and resting-state functional connectivity (FC). Tasks were administered at baseline, at post-assessment, and at 1- and 7-month follow-ups (FU). MRI was conducted at baseline and 7-month FU. Thirty-nine participants (85%) successfully completed the intervention. Data analyses are reported on the intention-to-treat (ITT) and the per-protocol (PP) sample. RESULTS For the primary outcome, no difference was observed in the ITT (β = 0.1, 95%-CI [- 1.2, 1.3, p = 0.93] or PP sample (β = - 0.2, 95%-CI [- 1.6, 1.2], p = 0.77). However, secondary analyses in the N-back working memory task showed that, only in the PP sample, the tDCS outperformed the sham group (PP: % correct, β = 5.0, 95%-CI [- 0.1, 10.2], p = 0.06, d-prime β = 0.2, 95%-CI [0.0, 0.4], p = 0.02; ITT: % correct, β = 3.0, 95%-CI [- 3.9, 9.9], p = 0.39, d-prime β = 0.1, 95%-CI [- 0.1, 0.3], p = 0.5). Frontoparietal network FC was increased from baseline to 7-month FU in the tDCS compared to the sham group (pFDR < 0.05). Exploratory analyses showed a correlation between individual memory improvements and higher electric field magnitudes induced by tDCS (ρtDCS = 0.59, p = 0.02). Adverse events did not differ between groups, questionnaires indicated successful blinding (incidence rate ratio, 1.1, 95%-CI [0.5, 2.2]). CONCLUSIONS In sum, cognitive training with concurrent brain stimulation, compared to cognitive training with sham stimulation, did not lead to superior performance enhancements in patients with cognitive impairment. However, we observed transferred working memory benefits in patients who underwent the full 3-week intervention. MRI data pointed toward a potential intervention-induced modulation of neural network dynamics. A link between individual performance gains and electric fields suggested dosage-dependent effects of brain stimulation. Together, our findings do not support the immediate benefit of the combined intervention on the trained function, but provide exploratory evidence for transfer effects on working memory in patients with cognitive impairment. Future research needs to explore whether individualized protocols for both training and stimulation parameters might further enhance treatment gains. TRIAL REGISTRATION The study is registered on ClinicalTrials.gov (NCT04265378). Registered on 7 February 2020. Retrospectively registered.
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Affiliation(s)
- Daria Antonenko
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany.
| | - Anna Elisabeth Fromm
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany
| | - Friederike Thams
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany
| | - Anna Kuzmina
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany
| | - Malte Backhaus
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany
| | - Elena Knochenhauer
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, 01062, Dresden, Germany
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, 01062, Dresden, Germany
| | - Ulrike Grittner
- Berlin Institute of Health (BIH), 10187, Berlin, Germany
- Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, 10117, Berlin, Germany
| | - Agnes Flöel
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, 17475, Greifswald, Germany
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Gönner L, Baeuchl C, Glöckner F, Riedel P, Smolka MN, Li SC. Levodopa suppresses grid-like activity and impairs spatial learning in novel environments in healthy young adults. Cereb Cortex 2023; 33:11247-11256. [PMID: 37782941 PMCID: PMC10690865 DOI: 10.1093/cercor/bhad361] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 08/31/2023] [Accepted: 09/01/2023] [Indexed: 10/04/2023] Open
Abstract
Accumulated evidence from animal studies suggests a role for the neuromodulator dopamine in memory processes, particularly under conditions of novelty or reward. Our understanding of how dopaminergic modulation impacts spatial representations and spatial memory in humans remains limited. Recent evidence suggests age-specific regulation effects of dopamine pharmacology on activity in the medial temporal lobe, a key region for spatial memory. To which degree this modulation affects spatially patterned medial temporal representations remains unclear. We reanalyzed recent data from a pharmacological dopamine challenge during functional brain imaging combined with a virtual object-location memory paradigm to assess the effect of Levodopa, a dopamine precursor, on grid-like activity in the entorhinal cortex. We found that Levodopa impaired grid cell-like representations in a sample of young adults (n = 55, age = 26-35 years) in a novel environment, accompanied by reduced spatial memory performance. We observed no such impairment when Levodopa was delivered to participants who had prior experience with the task. These results are consistent with a role of dopamine in modulating the encoding of novel spatial experiences. Our results suggest that dopamine signaling may play a larger role in shaping ongoing spatial representations than previously thought.
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Affiliation(s)
- Lorenz Gönner
- Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, TU Dresden, 01062 Dresden, Germany
- Department of Psychiatry, TU Dresden, 01307 Dresden, Germany
| | - Christian Baeuchl
- Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, TU Dresden, 01062 Dresden, Germany
- Department of Psychiatry, TU Dresden, 01307 Dresden, Germany
| | - Franka Glöckner
- Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, TU Dresden, 01062 Dresden, Germany
| | - Philipp Riedel
- Department of Psychiatry, TU Dresden, 01307 Dresden, Germany
| | | | - Shu-Chen Li
- Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, TU Dresden, 01062 Dresden, Germany
- Centre for Tactile Internet With Human-in-the-Loop, TU Dresden, 01062 Dresden, Germany
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Muschter E, Schulz J, Tömösközi M, Herbst L, Küssel L, Sefunç M, Holtzhausen S, Speidel S, Fitzek FHP, Li SC. Coming in handy: CeTI-Age - A comprehensive database of kinematic hand movements across the lifespan. Sci Data 2023; 10:826. [PMID: 38007482 PMCID: PMC10676381 DOI: 10.1038/s41597-023-02738-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/09/2023] [Indexed: 11/27/2023] Open
Abstract
The Tactile Internet aims to advance human-human and human-machine interactions that also utilize hand movements in real, digitized, and remote environments. Attention to elderly generations is necessary to make the Tactile Internet age inclusive. We present the first age-representative kinematic database consisting of various hand gesturing and grasping movements at individualized paces, thus capturing naturalistic movements. We make this comprehensive database of kinematic hand movements across the adult lifespan (CeTI-Age-Kinematic-Hand) publicly available to facilitate a deeper understanding of intra-individual-focusing especially on age-related differences-and inter-individual variability in hand kinematics. The core of the database contains participants' hand kinematics recorded with wearable resistive bend sensors, individual static 3D hand models, and all instructional videos used during the data acquisition. Sixty-three participants ranging from age 20 to 80 years performed six repetitions of 40 different naturalistic hand movements at individual paces. This unique database with data recorded from an adult lifespan sample can be used to advance machine-learning approaches in hand kinematic modeling and movement prediction for age-inclusive applications.
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Affiliation(s)
- Evelyn Muschter
- Technische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany.
- Technische Universität Dresden, Chair of Lifespan Developmental Neuroscience, Dresden, 01062, Germany.
| | - Jonas Schulz
- Technische Universität Dresden, Deutsche Telekom Chair of Communication Networks, Dresden, 01062, Germany
| | - Máté Tömösközi
- Technische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany
- Technische Universität Dresden, Deutsche Telekom Chair of Communication Networks, Dresden, 01062, Germany
| | - Leonie Herbst
- Technische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany
- Technische Universität Dresden, Chair of Lifespan Developmental Neuroscience, Dresden, 01062, Germany
| | - Lena Küssel
- Technische Universität Dresden, Chair of Lifespan Developmental Neuroscience, Dresden, 01062, Germany
| | | | - Stefan Holtzhausen
- Technische Universität Dresden, Chair of Virtual Product Development, Dresden, 01062, Germany
| | - Stefanie Speidel
- Technische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany
- National Center for Tumor Diseases (NCT/UCC) Dresden, Department of Translational Surgical Oncology, Dresden, 01307, Germany
| | - Frank H P Fitzek
- Technische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany
- Technische Universität Dresden, Deutsche Telekom Chair of Communication Networks, Dresden, 01062, Germany
| | - Shu-Chen Li
- Technische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany.
- Technische Universität Dresden, Chair of Lifespan Developmental Neuroscience, Dresden, 01062, Germany.
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Peng XR, Bundil I, Schulreich S, Li SC. Neural correlates of valence-dependent belief and value updating during uncertainty reduction: An fNIRS study. Neuroimage 2023; 279:120327. [PMID: 37582418 DOI: 10.1016/j.neuroimage.2023.120327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/07/2023] [Accepted: 08/11/2023] [Indexed: 08/17/2023] Open
Abstract
Selective use of new information is crucial for adaptive decision-making. Combining a gamble bidding task with assessing cortical responses using functional near-infrared spectroscopy (fNIRS), we investigated potential effects of information valence on behavioral and neural processes of belief and value updating during uncertainty reduction in young adults. By modeling changes in the participants' expressed subjective values using a Bayesian model, we dissociated processes of (i) updating beliefs about statistical properties of the gamble, (ii) updating values of a gamble based on new information about its winning probabilities, as well as (iii) expectancy violation. The results showed that participants used new information to update their beliefs and values about the gambles in a quasi-optimal manner, as reflected in the selective updating only in situations with reducible uncertainty. Furthermore, their updating was valence-dependent: information indicating an increase in winning probability was underweighted, whereas information about a decrease in winning probability was updated in good agreement with predictions of the Bayesian decision theory. Results of model-based and moderation analyses showed that this valence-dependent asymmetry was associated with a distinct contribution of expectancy violation, besides belief updating, to value updating after experiencing new positive information regarding winning probabilities. In line with the behavioral results, we replicated previous findings showing involvements of frontoparietal brain regions in the different components of updating. Furthermore, this study provided novel results suggesting a valence-dependent recruitment of brain regions. Individuals with stronger oxyhemoglobin responses during value updating was more in line with predictions of the Bayesian model while integrating new information that indicates an increase in winning probability. Taken together, this study provides first results showing expectancy violation as a contributing factor to sub-optimal valence-dependent updating during uncertainty reduction and suggests limitations of normative Bayesian decision theory.
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Affiliation(s)
- Xue-Rui Peng
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany.
| | - Indra Bundil
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Stefan Schulreich
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria; Department of Cognitive Psychology, Faculty of Psychology and Human Movement Science, Universität Hamburg, Hamburg, Germany
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany.
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Kirchner R, Rosenkranz R, Sousa BG, Li SC, Altinsoy ME. Phantom Illusion based Vibrotactile Rendering of Affective Touch Patterns. IEEE Trans Haptics 2023; PP:1-13. [PMID: 37713219 DOI: 10.1109/toh.2023.3315964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/16/2023]
Abstract
Physically accurate (authentic) reproduction of affective touch patterns on the forearm is limited by actuator technology. However, in most VR applications a direct comparison with actual touch is not possible. Here, the plausibility is only compared to the user's expectation. Focusing on the approach of plausible instead of authentic touch reproduction enables new rendering techniques, like the utilization of the phantom illusion to create the sensation of moving vibrations. Following this idea, a haptic armband array (4x2 vibrational actuators) was built to investigate the possibilities of recreating plausible affective touch patterns with vibration. The novel aspect of this work is the approach of touch reproduction with a parameterized rendering strategy, enabling the integration in VR. A first user study evaluates suitable parameter ranges for vibrational touch rendering. Duration of vibration and signal shape influence plausibility the most. A second user study found high plausibility ratings in a multimodal scenario and confirmed the expressiveness of the system. Rendering device and strategy are suitable for a various stroking patterns and applicable for emerging research on social affective touch reproduction.
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Pollerhoff L, Stietz J, Depow GJ, Inzlicht M, Kanske P, Li SC, Reiter AMF. Publisher Correction: Investigating adult age differences in real-life empathy, prosociality, and well-being using experience sampling. Sci Rep 2023; 13:13777. [PMID: 37612407 PMCID: PMC10447415 DOI: 10.1038/s41598-023-40699-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023] Open
Affiliation(s)
- Lena Pollerhoff
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.
| | - Julia Stietz
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | | | - Michael Inzlicht
- Department of Psychology, University of Toronto, Toronto, ON, Canada
- Rotman School of Management, University of Toronto, Toronto, ON, Canada
| | - Philipp Kanske
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Shu-Chen Li
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
| | - Andrea M F Reiter
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
- German Centre of Prevention Research On Mental Health, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
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Thams F, Li SC, Flöel A, Antonenko D. Functional Connectivity and Microstructural Network Correlates of Interindividual Variability in Distinct Executive Functions of Healthy Older Adults. Neuroscience 2023; 526:61-73. [PMID: 37321368 DOI: 10.1016/j.neuroscience.2023.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/02/2023] [Accepted: 06/07/2023] [Indexed: 06/17/2023]
Abstract
Executive functions, essential for daily life, are known to be impaired in older age. Some executive functions, including working memory updating and value-based decision-making, are specifically sensitive to age-related deterioration. While their neural correlates in young adults are well-described, a comprehensive delineation of the underlying brain substrates in older populations, relevant to identify targets for modulation against cognitive decline, is missing. Here, we assessed letter updating and Markov decision-making task performance to operationalize these trainable functions in 48 older adults. Resting-state functional magnetic resonance imaging was acquired to quantify functional connectivity (FC) in task-relevant frontoparietal and default mode networks. Microstructure in white matter pathways mediating executive functions was assessed with diffusion tensor imaging and quantified by tract-based fractional anisotropy (FA). Superior letter updating performance correlated with higher FC between dorsolateral prefrontal cortex and left frontoparietal and hippocampal areas, while superior Markov decision-making performance correlated with decreased FC between basal ganglia and right angular gyrus. Furthermore, better working memory updating performance was related to higher FA in the cingulum bundle and the superior longitudinal fasciculus. Stepwise linear regression showed that cingulum bundle FA added significant incremental contribution to the variance explained by fronto-angular FC alone. Our findings provide a characterization of distinct functional and structural connectivity correlates associated with performance of specific executive functions. Thereby, this study contributes to the understanding of the neural correlates of updating and decision-making functions in older adults, paving the way for targeted modulation of specific networks by modulatory techniques such as behavioral interventions and non-invasive brain stimulation.
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Affiliation(s)
- Friederike Thams
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany.
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, TU Dresden, Zellescher Weg 17, 01062 Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop, TU Dresden, 01062 Dresden, Germany.
| | - Agnes Flöel
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany; German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, 17475 Greifswald, Germany.
| | - Daria Antonenko
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany.
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Cheng J, Cheng J, Cheng YC, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dugas KV, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Tung YC, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Improved Measurement of the Evolution of the Reactor Antineutrino Flux and Spectrum at Daya Bay. Phys Rev Lett 2023; 130:211801. [PMID: 37295075 DOI: 10.1103/physrevlett.130.211801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 02/10/2023] [Accepted: 04/27/2023] [Indexed: 06/12/2023]
Abstract
Reactor neutrino experiments play a crucial role in advancing our knowledge of neutrinos. In this Letter, the evolution of the flux and spectrum as a function of the reactor isotopic content is reported in terms of the inverse-beta-decay yield at Daya Bay with 1958 days of data and improved systematic uncertainties. These measurements are compared with two signature model predictions: the Huber-Mueller model based on the conversion method and the SM2018 model based on the summation method. The measured average flux and spectrum, as well as the flux evolution with the ^{239}Pu isotopic fraction, are inconsistent with the predictions of the Huber-Mueller model. In contrast, the SM2018 model is shown to agree with the average flux and its evolution but fails to describe the energy spectrum. Altering the predicted inverse-beta-decay spectrum from ^{239}Pu fission does not improve the agreement with the measurement for either model. The models can be brought into better agreement with the measurements if either the predicted spectrum due to ^{235}U fission is changed or the predicted ^{235}U, ^{238}U, ^{239}Pu, and ^{241}Pu spectra are changed in equal measure.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Y-C Cheng
- Department of Physics, National Taiwan University, Taipei
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - K V Dugas
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No. 100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Y C Tung
- Department of Physics, National Taiwan University, Taipei
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Brookhaven National Laboratory, Upton, New York 11973
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Steffen J, Marković D, Glöckner F, Neukam PT, Kiebel SJ, Li SC, Smolka MN. Shorter planning depth and higher response noise during sequential decision-making in old age. Sci Rep 2023; 13:7692. [PMID: 37169942 PMCID: PMC10175280 DOI: 10.1038/s41598-023-33274-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 04/11/2023] [Indexed: 05/13/2023] Open
Abstract
Forward planning is crucial to maximize outcome in complex sequential decision-making scenarios. In this cross-sectional study, we were particularly interested in age-related differences of forward planning. We presumed that especially older individuals would show a shorter planning depth to keep the costs of model-based decision-making within limits. To test this hypothesis, we developed a sequential decision-making task to assess forward planning in younger (age < 40 years; n = 25) and older (age > 60 years; n = 27) adults. By using reinforcement learning modelling, we inferred planning depths from participants' choices. Our results showed significantly shorter planning depths and higher response noise for older adults. Age differences in planning depth were only partially explained by well-known cognitive covariates such as working memory and processing speed. Consistent with previous findings, this indicates age-related shifts away from model-based behaviour in older adults. In addition to a shorter planning depth, our findings suggest that older adults also apply a variety of heuristical low-cost strategies.
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Affiliation(s)
- Johannes Steffen
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Dimitrije Marković
- Department of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Franka Glöckner
- Department of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Philipp T Neukam
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stefan J Kiebel
- Department of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Shu-Chen Li
- Department of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany.
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Su YT, Tang JX, Li SC, Li SJ. [Influencing factors of small intestinal ischemia in elderly patients with incarcerated hernia]. Zhonghua Wai Ke Za Zhi 2023; 61:493-497. [PMID: 37088482 DOI: 10.3760/cma.j.cn112139-20230221-00078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Objective: To investigate the factors influencing small intestinal ischemia in elderly patients with incarcerated hernia. Methods: The clinical data of 105 elderly patients admitted for surgical procedures of incarcerated hernia at Department of General Surgery, Huadong Hospital between January 2014 and December 2021 were retrospectively analyzed. There were 60 males and 45 females, aged (86.1±4.3) years (range: 80 to 96 years). They were divided into normal group (n=55) and ischemic group (n=50) according to intraoperative intestinal canal condition. The t test, χ2 test and Fisher's exact probability method were used for the univariate analysis of the factors that influence intestinal ischemia in patients, and Logistic regression was used for multifactorial analysis. Results: In all patients, 18 patients (17.1%) had irreversible intestinal ischemia with bowel resection. Six patients died within 30 days, 3 cases from severe abdominal infection, 2 cases from postoperative exacerbation of underlying cardiac disease, and 1 case from respiratory failure due to severe pulmonary infection. The results of the univariate analysis showed that there were differences in gender, history of intussusception, duration of previous hernia, white blood cell count, neutrophil percentage, C-reactive protein, type of incarcerated hernia, and preoperative intestinal obstruction between the two groups (all P<0.05). The Logistic regression results showed that the short time to the previous hernia (OR=0.892, 95%CI 0.872 to 0.962, P=0.003), high C-reactive protein (OR=1.022, 95%CI 1.007 to 1.037, P=0.003), non-indirect incarcerated hernia (OR=10.571, 95%CI 3.711 to 30.114, P<0.01) and preoperative intestinal obstruction (OR=6.438, 95%CI 1.762 to 23.522, P=0.005) were independent risk factors for the development of intestinal ischemia in elderly patients with incarcerated hernia. Conclusions: The short duration of the previous hernia, the high values of C-reactive proteins, the non-indirect incarcerated hernia, and the preoperative bowel obstruction are influencing factors for bowel ischemia in elderly patients with incarcerated hernia. A timely operation is necessary to reduce the incidence of intestinal necrosis and improve the prognosis.
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Affiliation(s)
- Y T Su
- Department of General Surgery, Huadong Hospital, Fudan University, Shanghai 200040, China
| | - J X Tang
- Department of General Surgery, Huadong Hospital, Fudan University, Shanghai 200040, China
| | - S C Li
- Department of General Surgery, Huadong Hospital, Fudan University, Shanghai 200040, China
| | - S J Li
- Department of General Surgery, Huadong Hospital, Fudan University, Shanghai 200040, China
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13
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Chen ZY, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Ding XY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wei W, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Precision Measurement of Reactor Antineutrino Oscillation at Kilometer-Scale Baselines by Daya Bay. Phys Rev Lett 2023; 130:161802. [PMID: 37154643 DOI: 10.1103/physrevlett.130.161802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 02/24/2023] [Indexed: 05/10/2023]
Abstract
We present a new determination of the smallest neutrino mixing angle θ_{13} and the mass-squared difference Δm_{32}^{2} using a final sample of 5.55×10^{6} inverse beta-decay (IBD) candidates with the final-state neutron captured on gadolinium. This sample is selected from the complete dataset obtained by the Daya Bay reactor neutrino experiment in 3158 days of operation. Compared to the previous Daya Bay results, selection of IBD candidates has been optimized, energy calibration refined, and treatment of backgrounds further improved. The resulting oscillation parameters are sin^{2}2θ_{13}=0.0851±0.0024, Δm_{32}^{2}=(2.466±0.060)×10^{-3} eV^{2} for the normal mass ordering or Δm_{32}^{2}=-(2.571±0.060)×10^{-3} eV^{2} for the inverted mass ordering.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - Z Y Chen
- Institute of High Energy Physics, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | | | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | | | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - Y Han
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No.100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
- The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - B Russell
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - W Wei
- Shandong University, Jinan
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Xiong YF, Cai Z, Li SC, Song YJ, Hu XM, Zheng L. [Bioinformatics analysis in metagenomic next-generation sequencing of pathogenic microorganisms: current status and challenges]. Zhonghua Yi Xue Za Zhi 2023; 103:1098-1102. [PMID: 37055228 DOI: 10.3760/cma.j.cn112137-20221208-02598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
The clinical application of metagenomic next-generation sequencing (mNGS) in the diagnosis of unknown pathogenic infections and critical infections has become increasingly valuable. Due to the huge volume of mNGS data and the complexity of clinical diagnosis and treatment, mNGS has difficulties in data analysis and interpretation in practical application. Therefore, in the process of clinical practice, it is crucial to grasp the key points of bioinformatics analysis and establish a standardized bioinformatics analysis process, which is an important step in the transformation of mNGS from laboratory to clinic. At present, bioinformatics analysis of mNGS has made great progress, but with the high requirements of clinical standardization of bioinformatics analysis and the development of computer technology, bioinformatics analysis of mNGS is also facing new challenges. This article mainly elaborates on quality control, and identification and visualization of pathogenic bacteria.
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Affiliation(s)
- Y F Xiong
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Z Cai
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - S C Li
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Y J Song
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X M Hu
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - L Zheng
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
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15
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Baeuchl C, Glöckner F, Koch C, Petzold J, Schuck NW, Smolka MN, Li SC. Dopamine differentially modulates medial temporal lobe activity and behavior during spatial navigation in young and older adults. Neuroimage 2023; 273:120099. [PMID: 37037380 DOI: 10.1016/j.neuroimage.2023.120099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 01/13/2023] [Accepted: 04/07/2023] [Indexed: 04/12/2023] Open
Abstract
Aging is associated with changes in spatial navigation behavior. In addition to an overall performance decline, older adults tend to rely more on proximal location cue information than on environmental boundary information during spatial navigation compared to young adults. The fact that older adults are more susceptible to errors during spatial navigation might be partly attributed to deficient dopaminergic modulation of hippocampal and striatal functioning. Hence, elevating dopamine levels might differentially modulate spatial navigation and memory performance in young and older adults. In this work, we administered levodopa (L-DOPA) in a double-blind within-subject, placebo-controlled design and recorded functional neuroimaging while young and older adults performed a 3D spatial navigation task in which boundary geometry or the position of a location cue were systematically manipulated. An age by intervention interaction on the neural level revealed an upregulation of brain responses in older adults and a downregulation of responses in young adults within the medial temporal lobe (including hippocampus and parahippocampus) and brainstem, during memory retrieval. Behaviorally, L-DOPA had no effect on older adults' overall memory performance; however, older adults whose spatial memory improved under L-DOPA also showed a shift towards more boundary processing under L-DOPA. In young adults, L-DOPA induced a decline in spatial memory performance in task-naïve participants. These results are consistent with the inverted-U-shaped hypothesis of dopamine signaling and cognitive function and suggest that increasing dopamine availability improves hippocampus-dependent place learning in some older adults.
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Affiliation(s)
- Christian Baeuchl
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.
| | - Franka Glöckner
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Christoph Koch
- Max Planck Research Group NeuroCode, Max Planck Institute for Human Development, Berlin, Germany; International Max Planck Research School on the Life Course (LIFE), Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Aging Research, Berlin, Germany
| | - Johannes Petzold
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Nicolas W Schuck
- Max Planck Research Group NeuroCode, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Aging Research, Berlin, Germany; Institute of Psychology, Universität Hamburg, Hamburg, German
| | - Michael N Smolka
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Shu-Chen Li
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
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16
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Zigler CK, Lin L, Ardalan K, Jacobe H, Lane S, Li SC, Luca NJC, Prajapati VH, Schollaert K, Teske N, Torok K. Cross-sectional quantitative validation of the pediatric Localized Scleroderma Quality of Life Instrument (LoSQI): A disease-specific patient-reported outcome measure. J Eur Acad Dermatol Venereol 2023. [PMID: 36950970 DOI: 10.1111/jdv.19059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 03/07/2023] [Indexed: 03/24/2023]
Abstract
BACKGROUND The Localized Scleroderma Quality of Life Instrument (LoSQI) is a disease-specific patient-reported outcome (PRO) measure designed for children and adolescents with localized scleroderma (LS; morphea). This tool was developed using rigorous PRO methods and previously cognitively tested in a sample of pediatric patients with LS. OBJECTIVE The purpose of this study was to evaluate the psychometric properties of the LoSQI in a clinical setting. METHODS Cross-sectional data from four specialized clinics in the US and Canada were included in the analysis. Evaluation included reliability of scores, internal structure of the survey, evidence of convergent and divergent validity, and test-retest reliability. RESULTS One-hundred ten patients with LS (age: 8-20 years) completed the LoSQI. Both exploratory and confirmatory factor analysis supported the use of two sub-scores: Pain & Physical Functioning and Body Image & Social Support. Correlations with other PRO measures were consistent with pre-specified hypotheses. LIMITATIONS This study did not evaluate longitudinal validity or responsiveness of scores. CONCLUSION Results from a representative sample of children and adolescents with LS continue to support the validity of the LoSQI when used in a clinical setting. Future work to evaluate the responsiveness is ongoing.
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Affiliation(s)
- C K Zigler
- Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA
| | - L Lin
- Duke University School of Medicine, Department of Population Health Sciences, Durham, NC, USA
| | - K Ardalan
- Duke University School of Medicine, Department of Pediatrics, Durham, NC, USA
- Northwestern University Feinberg School of Medicine/Ann & Robert H. Lurie Children's Hospital of Chicago, Departments of Pediatrics and Medical Social Sciences, Chicago, IL, USA
| | - H Jacobe
- UT Southwestern Medical Center, Department of Dermatology, Dallas, TX, USA
| | - S Lane
- University of Pittsburgh, School of Education, Pittsburgh, PA, USA
| | - S C Li
- Joseph M. Sanzari Children's Hospital, Hackensack Meridian School of Medicine, Department of Pediatrics, Hackensack, NJ, USA
| | - N J C Luca
- Alberta Children's Hospital Research Institute, Calgary, AB, Canada
- Section of Pediatric Rheumatology, Department of Pediatrics, Calgary, AB, Canada
| | - V H Prajapati
- Section of Pediatric Rheumatology, Department of Pediatrics, Calgary, AB, Canada
- Section of Community Pediatrics, Department of Pediatrics, University of Calgary, Calgary, AB, Canada
- Division of Dermatology, Department of Medicine, University of Calgary, Calgary, AB, Canada
- Dermatology Research Institute, Calgary, AB, Canada
- Skin Health & Wellness Centre, Calgary, AB, Canada
- Probity Medical Research, Calgary, AB, Canada
| | - K Schollaert
- University of Pittsburgh, School of Medicine, Department of Pediatrics, Pittsburgh, PA, USA
| | - N Teske
- Oregon Health & Science University School of Medicine, Department of Dermatology, OR, USA
| | - K Torok
- University of Pittsburgh, School of Medicine, Department of Pediatrics, Pittsburgh, PA, USA
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17
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Schaefer S, Riediger M, Li SC, Lindenberger U. Too easy, too hard, or just right: Lifespan age differences and gender effects on task difficulty choices. International Journal of Behavioral Development 2023. [DOI: 10.1177/01650254231160126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2023]
Abstract
In everyday life, individuals often need to make choices about the difficulty level of tasks they wish to perform. Here, we investigate age- and gender-related differences in the monitoring of discrepancies between the difficulty of a given task and one’s own performance level, and in the likelihood to select task difficulties that match one’s performance level. Male and female children, teenagers, younger adults, and older adults (total N = 160) were asked to play a modified version of the BINGO game. Task difficulty was operationalized as the number of cards played simultaneously. We expected that (a) discrepancies between individuals’ self-selected difficulty levels and their objectively assessed maximum manageable task difficulty (MMTD) would be lowest in early adulthood; (b) children and teenagers, on average, would select relatively difficult task difficulties; and (c) males would overestimate their performance levels, on average, to a greater extent than females. As predicted, younger adults selected task difficulties closest to their MMTD. All other age groups, including older adults, chose task difficulties above their MMTD. The expected gender differences were restricted to children, with boys showing more pronounced performance overestimations than girls. Children and teenagers fluctuated more in their difficulty choices than adults, and many of them, especially boys, occasionally chose difficulty levels far beyond their performance capabilities. We conclude that task-difficulty choices are an interesting topic for lifespan studies. Future research should systematically vary the physical risk involved in a task, and also include the presence of peers.
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Ruel A, Bolenz F, Li SC, Fischer A, Eppinger B. Neural evidence for age-related deficits in the representation of state spaces. Cereb Cortex 2023; 33:1768-1781. [PMID: 35510942 DOI: 10.1093/cercor/bhac171] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/08/2022] [Accepted: 04/09/2022] [Indexed: 11/12/2022] Open
Abstract
Under high cognitive demands, older adults tend to resort to simpler, habitual, or model-free decision strategies. This age-related shift in decision behavior has been attributed to deficits in the representation of the cognitive maps, or state spaces, necessary for more complex model-based decision-making. Yet, the neural mechanisms behind this shift remain unclear. In this study, we used a modified 2-stage Markov task in combination with computational modeling and single-trial EEG analyses to establish neural markers of age-related changes in goal-directed decision-making under different demands on the representation of state spaces. Our results reveal that the shift to simpler decision strategies in older adults is due to (i) impairments in the representation of the transition structure of the task and (ii) a diminished signaling of the reward value associated with decision options. In line with the diminished state space hypothesis of human aging, our findings suggest that deficits in goal-directed, model-based behavior in older adults result from impairments in the representation of state spaces of cognitive tasks.
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Affiliation(s)
- Alexa Ruel
- Department of Psychology, Concordia University, 7141 Sherbrooke Street W. Montreal, Quebec H4B 1R6, Canada
| | - Florian Bolenz
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Bürogebäude, Zi. 244 Strehlener Straße 22/24, Dresden 01069, Germany.,Center for Adaptive Rationality, Max Planck Institute for Human Development, Lentzeallee 94, Berlin 14195, Germany.,Cluster of Excellence "Science of Intelligence", Technische Universität Berlin, Straße des 17. Juni 135, Berlin 10623, Germany
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Bürogebäude, Zi. 244 Strehlener Straße 22/24, Dresden 01069, Germany.,Cluster of Excellence "Centre for Tactile Internet with Human-in-the-Loop", Technische Universität Dresden, Bürogebäude, Zi. 244 Strehlener Straße 22/24, Dresden 01069, Germany
| | - Adrian Fischer
- Department of Education and Psychology, Freie Universität Berlin, Habelschwerdter Allee 45, Berlin 14195, Germany
| | - Ben Eppinger
- Department of Psychology, Concordia University, 7141 Sherbrooke Street W. Montreal, Quebec H4B 1R6, Canada.,Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Bürogebäude, Zi. 244 Strehlener Straße 22/24, Dresden 01069, Germany.,PERFORM Center, Concordia University, 7200 Sherbrooke St. W. Montreal, Quebec H4B 1R6, Canada
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19
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Li SC, Fitzek FHP. Digitally embodied lifespan neurocognitive development and Tactile Internet: Transdisciplinary challenges and opportunities. Front Hum Neurosci 2023; 17:1116501. [PMID: 36845878 PMCID: PMC9950571 DOI: 10.3389/fnhum.2023.1116501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 01/26/2023] [Indexed: 02/12/2023] Open
Abstract
Mechanisms underlying perceptual processing and inference undergo substantial changes across the lifespan. If utilized properly, technologies could support and buffer the relatively more limited neurocognitive functions in the still developing or aging brains. Over the past decade, a new type of digital communication infrastructure, known as the "Tactile Internet (TI)," is emerging in the fields of telecommunication, sensor and actuator technologies and machine learning. A key aim of the TI is to enable humans to experience and interact with remote and virtual environments through digitalized multimodal sensory signals that also include the haptic (tactile and kinesthetic) sense. Besides their applied focus, such technologies may offer new opportunities for the research tapping into mechanisms of digitally embodied perception and cognition as well as how they may differ across age cohorts. However, there are challenges in translating empirical findings and theories about neurocognitive mechanisms of perception and lifespan development into the day-to-day practices of engineering research and technological development. On the one hand, the capacity and efficiency of digital communication are affected by signal transmission noise according to Shannon's (1949) Information Theory. On the other hand, neurotransmitters, which have been postulated as means that regulate the signal-to-noise ratio of neural information processing (e.g., Servan-Schreiber et al., 1990), decline substantially during aging. Thus, here we highlight neuronal gain control of perceptual processing and perceptual inference to illustrate potential interfaces for developing age-adjusted technologies to enable plausible multisensory digital embodiments for perceptual and cognitive interactions in remote or virtual environments.
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Affiliation(s)
- Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany,Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany,*Correspondence: Shu-Chen Li,
| | - Frank H. P. Fitzek
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany,Deutsche Telekom Chair of Communication Networks, Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany
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20
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He JS, Duan JB, Li SC, Xiao ZL, Wang L, Li D, Ze F, Wu CC, Yuan CZ, Li XB. [Feasibility and safety of bridge therapy with active fixed electrodes connected to external permanent pacemakers for patients with infective endocarditis after lead removal and before permanent pacemaker implantation]. Zhonghua Xin Xue Guan Bing Za Zhi 2022; 50:1214-1219. [PMID: 36517443 DOI: 10.3760/cma.j.cn112148-20220523-00408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Objective: To analyze the feasibility and safety of bridge therapy with active fixed electrodes connected to external permanent pacemakers (AFLEP) for patients with infective endocarditis after lead removal and before permanent pacemaker implantation. Methods: A total of 44 pacemaker-dependent patients, who underwent lead removal due to infective endocarditis in our center from January 2015 to January 2020, were included. According to AFLEP or temporary pacemaker option during the transition period, patients were divided into AFLEP group or temporary pacemaker group. Information including age, sex, comorbidities, indications and types of cardial implantable electionic device (CIED) implantation, lead age, duration of temporary pacemaker or AFLEP use, and perioperative complications were collected through Haitai Medical Record System. The incidence of pacemaker perception, abnormal pacing function, lead perforation, lead dislocation, lead vegetation, cardiac tamponade, pulmonary embolism, death and newly infection of implanted pacemaker were compared between the two groups. Pneumothorax, hematoma and the incidence of deep vein thrombosis were also analyzed. Results: Among the 44 patients, 24 were in the AFLEP group and 20 in the temporary pacemaker group. Age was younger in the AFLEP group than in the temporary pacemaker group (57.5(45.5, 66.0) years vs. 67.0(57.3, 71.8) years, P=0.023). Male, prevalence of hypertension, diabetes mellitus, chronic renal dysfunction and old myocardial infarction were similar between the two groups (all P>0.05). Lead duration was 11.0(8.0,13.0) years in the AFLEP group and 8.5(7.0,13.0) years in the temporary pacemaker group(P=0.292). Lead vegetation diameter was (8.2±2.4)mm in the AFLEP group and (9.1±3.0)mm in the temporary pacemaker group. Lead removal was successful in all patients. The follow-up time in the AFLEP group was 23.0(20.5, 25.5) months, and the temporary pacemaker group was 17.0(14.5, 18.5) months. In the temporary pacemaker group, there were 2 cases (10.0%) of lead dislocation, 2 cases (10.0%) of sensory dysfunction, 2 cases (10.0%) of pacing dysfunction, and 2 cases (10.0%) of death. In the AFLEP group, there were 2 cases of abnormal pacing function, which improved after adjusting the output voltage of the pacemaker, there was no lead dislocation, abnormal perception and death. Femoral vein access was used in 8 patients (40.0%) in the temporary pacemaker group, and 4 patients developed lower extremity deep venous thrombosis. There was no deep venous thrombosis in the AFLEP group. The transition treatment time was significantly longer in the AFLEP group than in the temporary pacemaker group (19.5(16.0, 25.8) days vs. 14.0(12.0, 16.8) days, P=0.001). During the follow-up period, there were no reinfections with newly implanted pacemakers in the AFLEP group, and reinfection occurred in 2 patients (10.0%) in the temporary pacemaker group. Conclusions: Bridge therapy with AFLEP for patients with infective endocarditis after lead removal and before permanent pacemaker implantation is feasible and safe. Compared with temporary pacemaker, AFLEP is safer in the implantation process and more stable with lower lead dislocation rate, less sensory and pacing dysfunction.
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Affiliation(s)
- J S He
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - J B Duan
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - S C Li
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - Z L Xiao
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - L Wang
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - D Li
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - F Ze
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - C C Wu
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - C Z Yuan
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - X B Li
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
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Koch C, Baeuchl C, Glöckner F, Riedel P, Petzold J, Smolka MN, Li SC, Schuck NW. L-DOPA enhances neural direction signals in younger and older adults. Neuroimage 2022; 264:119670. [PMID: 36243268 PMCID: PMC9771830 DOI: 10.1016/j.neuroimage.2022.119670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 10/03/2022] [Indexed: 11/06/2022] Open
Abstract
Previous studies indicate a role of dopamine in spatial navigation. Although neural representations of direction are an important aspect of spatial cognition, it is not well understood whether dopamine directly affects these representations, or only impacts other aspects of spatial brain function. Moreover, both dopamine and spatial cognition decline sharply during age, raising the question which effect dopamine has on directional signals in the brain of older adults. To investigate these questions, we used a double-blind cross-over L-DOPA/Placebo intervention design in which 43 younger and 37 older adults navigated in a virtual spatial environment while undergoing functional magnetic resonance imaging (fMRI). We studied the effect of L-DOPA, a dopamine precursor, on fMRI activation patterns that encode spatial walking directions that have previously been shown to lose specificity with age. This was done in predefined regions of interest, including the early visual cortex, retrosplenial cortex, and hippocampus. Classification of brain activation patterns associated with different walking directions was improved across all regions following L-DOPA administration, suggesting that dopamine broadly enhances neural representations of direction. No evidence for differences between regions was found. In the hippocampus these results were found in both age groups, while in the retrosplenial cortex they were only observed in younger adults. Taken together, our study provides evidence for a link between dopamine and the specificity of neural responses during spatial navigation. SIGNIFICANCE STATEMENT: The sense of direction is an important aspect of spatial navigation, and neural representations of direction can be found throughout a large network of space-related brain regions. But what influences how well these representations track someone's true direction? Using a double-blind cross-over L-DOPA/Placebo intervention design, we find causal evidence that the neurotransmitter dopamine impacts the fidelity of direction selective neural representations in the human hippocampus and retrosplenial cortex. Interestingly, the effect of L-DOPA was either equally present or even smaller in older adults, despite the well-known age related decline of dopamine. These results provide novel insights into how dopamine shapes the neural representations that underlie spatial navigation.
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Affiliation(s)
- Christoph Koch
- Max Planck Research Group NeuroCode, Max Planck Institute for Human Development, Berlin, Germany; International Max Planck Research School on the Life Course, Max Planck Institute for Human Development, Berlin, Germany.
| | - Christian Baeuchl
- Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Dresden, Germany
| | - Franka Glöckner
- Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Dresden, Germany
| | - Philipp Riedel
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Johannes Petzold
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Shu-Chen Li
- Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität, Dresden, Germany
| | - Nicolas W Schuck
- Max Planck Research Group NeuroCode, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Aging Research, Berlin, Germany; Institute of Psychology, Universität Hamburg, Hamburg, Germany
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22
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Choo YW, Mohd Tahir NA, Mohamed Said MS, Li SC, Makmor Bakry M. Cost-effectiveness of Denosumab for the Treatment of Postmenopausal Osteoporosis in Malaysia. Osteoporos Int 2022; 33:1909-1923. [PMID: 35641572 DOI: 10.1007/s00198-022-06444-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 05/23/2022] [Indexed: 12/09/2022]
Abstract
UNLABELLED From the perspective of Malaysian health care providers, denosumab was cost-effective in the treatment of postmenopausal osteoporosis, with an optimal outcome starting at age 60 years. Our results provide important insights into the value for money of anti-osteoporotic agents that can serve as a reference for other countries with comparable epidemiological data. INTRODUCTION The study aimed to compare the cost-effectiveness of denosumab with alendronate and no treatment in the management of postmenopausal osteoporosis among the Malaysian population. METHODS A well-validated Markov model was used to estimate the cost-effectiveness of denosumab in a hypothetical cohort of postmenopausal osteoporotic women between 50 and 80 years old who had no history of fractures. A 10-year time horizon from the perspective of Malaysian health care providers was used in this analysis. The model parameters, including transition probabilities and costs, were based on Malaysian sources. Treatment efficacy data were obtained from a network meta-analysis. The study outcomes were presented as incremental cost per quality-adjusted life-year (QALY) gained. Sensitivity analyses were performed to ensure the robustness of the results. A cost-effectiveness threshold was set at MYR 21,438 (USD 5175) per QALY. RESULTS Denosumab was found to be a cost-effective option for postmenopausal osteoporotic women aged 60 and older. The incremental cost-effectiveness ratios (ICERs) for denosumab versus alendronate ranged from MYR 16,955 (USD 4093) per QALY at age 60 to MYR 4380 (USD 1057) per QALY at age 80. The cost-effectiveness of denosumab improved monotonically with increasing age. Denosumab was 72.8-92.7% likely to be cost-effective at the cost-effectiveness threshold. Sensitivity analyses demonstrated that the results were robust across all parameter variations, with the annual cost of denosumab being the most sensitive. CONCLUSIONS From the perspective of the Malaysian health care provider, denosumab appears to be a cost-effective treatment choice for postmenopausal osteoporotic women over 60 years of age.
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Affiliation(s)
- Y W Choo
- Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
- Pharmacy Department, Kuala Lipis Hospital, Ministry of Health Malaysia, 27200, Kuala Lipis , Pahang, Malaysia
| | - N A Mohd Tahir
- Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia.
| | - M S Mohamed Said
- Department of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Jalan Yaacob Latif, Bandar Tun Razak, 56000, Kuala Lumpur, Cheras, Malaysia
| | - S C Li
- School of Biomedical Sciences and Pharmacy, University of Newcastle, Callaghan, NSW, 2308, Australia
| | - M Makmor Bakry
- Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia
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23
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He JS, Duan JB, Li SC, Wang L, Li D, Ze F, Wu CC, Zhou X, Yuan CZ, Li XB. [Effect of Li's catheter in the cardiac resynchronization therapy implantation]. Zhonghua Xin Xue Guan Bing Za Zhi 2022; 50:799-804. [PMID: 35982013 DOI: 10.3760/cma.j.cn112148-20220309-00168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To evaluate the effect of Li's catheter in cardiac resynchronization therapy (CRT) implantation. Methods: This study was a retrospective cohort study. Patients with indications for CRT implantation who visited the Department of Cardiology, Peking University People's Hospital from January 1, 2016 to January 1, 2022 were enrolled. Patients were divided into Li's catheter group (CRT implantation with Li's catheter) and control group (CRT implantation with the traditional method). The general clinical data of the patients were obtained through the electronic medical record system. Li's catheter is a new type of coronary sinus angiography balloon catheter independently developed by Dr. Li Xuebin (patent number: 201320413174.1). The primary outcome was the success rate of CRT device implantation, and the secondary outcomes included efficacy and safety parameters. Efficacy indicators included operation time, coronary sinus angiography time, left ventricular lead implantation time, X-ray exposure time, left ventricular lead threshold, and diaphragm stimulation. Safety outcomes included incidence of coronary sinus dissection, cardiac tamponade, and pericardial effusion. Results: A total of 170 patients were enrolled in this study, including 90 in Li's catheter group and 80 in control group. Age, male proportion of patients, proportion of patients with ischemic cardiomyopathy, hypertension, diabetes mellitus, chronic renal insufficiency, New York Heart Association (NYHA) functional classification, left ventricular ejection fraction, left ventricular end-diastolic diameter, proportion of left bundle branch block, and preoperative QRS wave width were similar between the two groups (all P>0.05). In Li's catheter group, 34 cases (37.8%) implanted with CRT defibrillators, and 28 cases (35.0%) implanted with CRT defibrillators in control group, the difference was not statistically significant (P=0.710). The success rate of CRT device implantation in Li's catheter group was 100% (90/90), which was significantly higher than that in control group (93.8%, 75/80, P=0.023).The operation time was 57.0 (52.0, 62.3) minutes, the time to complete coronary sinus angiography was 8.0 (6.0, 9.0) minutes, and the time of left ventricular electrode implantation was 8.0 (7.0, 9.0) minutes in Li's catheter group, and was 91.3 (86.3, 97.0), 18.0 (16.0, 20.0), 25.0 (22.0, 27.7) minutes respectively in control group, all significantly shorter in Li's catheter group (all P<0.05). The exposure time of X-ray was 15.0 (14.0, 17.0) minutes in Li's catheter group, which was also significantly shorter than that in control group (32.5 (29.0, 36.0) minutes, P<0.001). There was no coronary sinus dissection and cardiac tamponade in Li's catheter group, and 1 patient (1.1%) had diaphragmatic stimulation in Li's catheter group. In control group, 6 patients (6.7%) had coronary sinus dissection, and 1 patient (1.1%) developed pericardial effusion, and 3 patients (3.3%) had diaphragmatic stimulation. The incidence of coronary sinus dissection in Li's catheter group was significantly lower than that in control group (P=0.011). The postoperative left ventricular thresholds in Li's catheter group and control group were similar (1.80 (1.60, 2.38) V/0.5 ms vs. 1.80 (1.60, 2.40) V/0.5 ms, P=0.120). Conclusions: Use of Li's catheter is associated with higher success rate of CRT implantation, short time of coronary sinus angiography and left ventricular electrode implantation, reduction of intraoperative X-ray exposure, and lower incidence of coronary vein dissection in this patient cohort.
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Affiliation(s)
- J S He
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - J B Duan
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - S C Li
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - L Wang
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - D Li
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - F Ze
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - C C Wu
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - X Zhou
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - C Z Yuan
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
| | - X B Li
- Electrophysiology Lab, Department of Cardiology, Peking University People's Hospital, Beijing 100044, China
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. First Measurement of High-Energy Reactor Antineutrinos at Daya Bay. Phys Rev Lett 2022; 129:041801. [PMID: 35939015 DOI: 10.1103/physrevlett.129.041801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 06/05/2022] [Accepted: 06/28/2022] [Indexed: 06/15/2023]
Abstract
This Letter reports the first measurement of high-energy reactor antineutrinos at Daya Bay, with nearly 9000 inverse beta decay candidates in the prompt energy region of 8-12 MeV observed over 1958 days of data collection. A multivariate analysis is used to separate 2500 signal events from background statistically. The hypothesis of no reactor antineutrinos with neutrino energy above 10 MeV is rejected with a significance of 6.2 standard deviations. A 29% antineutrino flux deficit in the prompt energy region of 8-11 MeV is observed compared to a recent model prediction. We provide the unfolded antineutrino spectrum above 7 MeV as a data-based reference for other experiments. This result provides the first direct observation of the production of antineutrinos from several high-Q_{β} isotopes in commercial reactors.
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Affiliation(s)
- F P An
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Bai
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - H Y Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Shenzhen University, Shenzhen
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- North China Electric Power University, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No. 100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973
| | - B Roskovec
- Charles University, Faculty of Mathematics and Physics, Prague
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C G White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | | | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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25
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Chen HY, Lombardi G, Li SC, Hare TA. Older adults process the probability of winning sooner but weigh it less during lottery decisions. Sci Rep 2022; 12:11381. [PMID: 35790772 PMCID: PMC9256676 DOI: 10.1038/s41598-022-15432-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 06/23/2022] [Indexed: 11/23/2022] Open
Abstract
Empirical evidence has shown that visually enhancing the saliency of reward probabilities can ease the cognitive demands of value comparisons and improve value-based decisions in old age. In the present study, we used a time-varying drift diffusion model that includes starting time parameters to better understand (1) how increasing the saliency of reward probabilities may affect the dynamics of value-based decision-making and (2) how these effects may interact with age. We examined choices made by younger and older adults in a mixed lottery choice task. On a subset of trials, we used a color-coding scheme to highlight the saliency of reward probabilities, which served as a decision-aid. The results showed that, in control trials, older adults started to consider probability relative to magnitude information sooner than younger adults, but that their evidence accumulation processes were less sensitive to reward probabilities than that of younger adults. This may indicate a noisier and more stochastic information accumulation process during value-based decisions in old age. The decision-aid increased the influence of probability information on evidence accumulation rates in both age groups, but did not alter the relative timing of accumulation for probability versus magnitude in either group.
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Affiliation(s)
- Hsiang-Yu Chen
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany. .,Chair of Methods of Psychology and Cognitive Modelling, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.
| | - Gaia Lombardi
- Department of Economics, Zurich Center for Neuroeconomics, University of Zurich, 8006, Zurich, Switzerland
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.,Centre for Tactile Internet With Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, Germany
| | - Todd A Hare
- Department of Economics, Zurich Center for Neuroeconomics, University of Zurich, 8006, Zurich, Switzerland.,Neuroscience Center Zurich, University of Zurich and ETH Zürich, 8006, Zurich, Switzerland
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26
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Wu F, Li SC, Ma QL, Wang YB, Peng WW, Chen M, Chen JY, Xiang ML. First Report of Fusarium oxysporum Causing Fruit Rot on Apricot ( Prunus armeniaca) in China. Plant Dis 2022; 106:PDIS09211967PDN. [PMID: 35084945 DOI: 10.1094/pdis-09-21-1967-pdn] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- F Wu
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - S C Li
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - Q L Ma
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - Y B Wang
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - W W Peng
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - M Chen
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - J Y Chen
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
- Pingxiang University, Pingxiang, Jiangxi 337055, China
| | - M L Xiang
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
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27
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Spliethoff L, Li SC, Dix A. Incentive motivation improves numerosity discrimination in children and adolescents. Sci Rep 2022; 12:10038. [PMID: 35710929 PMCID: PMC9203779 DOI: 10.1038/s41598-022-14198-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 06/02/2022] [Indexed: 11/30/2022] Open
Abstract
We recently showed that incentive motivation improves the precision of the Approximate Number System (ANS) in young adults. To shed light on the development of incentive motivation, the present study investigated whether this effect and its underlying mechanisms may also be observed in younger samples. Specifically, seven-year-old children (n = 23; 12 girls) and 14-year-old adolescents (n = 30; 15 girls) performed a dot comparison task with monetary reward incentives. Both age groups showed higher accuracy in a reward compared to a neutral condition and, similarly, higher processing efficiency as revealed by the drift rate parameter of the EZ-diffusion model. Furthermore, in line with the Incentive Salience Hypothesis, phasic pupil dilations—indicating the activation of the brain’s salience network—were greater in incentivized trials in both age groups. Together these finding suggest that incentive modulation improves numerosity discrimination in children and adolescents by enhancing the perceptual saliency of numerosity information. However, the observed reward anticipation effects were less pronounced in children relative to adolescents. Furthermore, unlike previous findings regarding young adults, the decision thresholds of children and adolescents were not raised by the monetary reward, which may indicate a more protracted development of incentive regulation of response caution than perceptual evidence accumulation.
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Affiliation(s)
- Luca Spliethoff
- Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Zellescher Weg 17, 01062, Dresden, Germany.,Faculty of Education, Chair of Vocational Education, Technische Universität Dresden, Weberplatz 5, 01217, Dresden, Germany
| | - Shu-Chen Li
- Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Zellescher Weg 17, 01062, Dresden, Germany.,Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, 01062, Dresden, Germany
| | - Annika Dix
- Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Zellescher Weg 17, 01062, Dresden, Germany. .,Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, 01062, Dresden, Germany. .,Faculty of Psychology, Chair of Engineering Psychology and Applied Cognitive Research, Technische Universität Dresden, Zellescher Weg 17, 01062, Dresden, Germany.
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28
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Li SC, Xiao LH, Wu F, Wang YB, Jia MS, Chen M, Chen JY, Xiang ML. First Report of Leaf Spot Caused by Colletotrichum fructicola on Myrica rubra in China. Plant Dis 2022; 106:PDIS10212138PDN. [PMID: 34874179 DOI: 10.1094/pdis-10-21-2138-pdn] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
- S C Li
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - L H Xiao
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - F Wu
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - Y B Wang
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - M S Jia
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - M Chen
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - J Y Chen
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
- Pingxiang University, Pingxiang, Jiangxi 337055, China
| | - M L Xiang
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
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29
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Fröhner JH, Ripke S, Jurk S, Li SC, Banaschewski T, Bokde AL, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Poustka L, Hohmann S, Walter H, Whelan R, Schumann G, Smolka MN. Associations of delay discounting and drinking trajectories from ages 14 to 22. Alcohol Clin Exp Res 2022; 46:667-681. [PMID: 35257381 PMCID: PMC9018624 DOI: 10.1111/acer.14799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 01/31/2022] [Accepted: 02/22/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND While drinking alcohol, one must choose between the immediate rewarding effects and the delayed reward of a healthier lifestyle. Individuals differ in their devaluation of a delayed reward based on the time required to receive it, i.e., delay discounting (DD). Previous studies have shown that adolescents discount more steeply than adults and that steeper DD is associated with heavier alcohol use in both groups. METHODS In a large-scale longitudinal study, we investigated whether higher rates of DD are an antecedent or a consequence of alcohol use during adolescent development. As part of the IMAGEN project, 2220 adolescents completed the Monetary Choice Questionnaire as a DD measure, the Alcohol Use Disorders Identification Test, and the Timeline Follow Back interview at ages 14, 16, 18, and 22. Bivariate latent growth curve models were applied to investigate the relationship between DD and drinking. To explore the consequences of drinking, we computed the cumulative alcohol consumption and correlated it with the development of discounting. A subsample of 221 participants completed an intertemporal choice task (iTeCh) during functional magnetic resonance imaging at ages 14, 16, and 18. Repeated-measures ANOVA was used to differentiate between high-risk and low-risk drinkers on the development of neural processing during intertemporal choices. RESULTS Overall, high rates of DD at age 14 predicted a greater increase in drinking over 8 years. In contrast, on average, moderate alcohol use did not affect DD from ages 14 to 22. Of note, we found indicators for less brain activity in top-down control areas during intertemporal choices in the participants who drank more. CONCLUSIONS Steep DD was shown to be a predictor rather than a consequence of alcohol use in low-level drinking adolescents. Important considerations for future longitudinal studies are the sampling strategies to be used and the reliability of the assessments.
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Affiliation(s)
- Juliane H. Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Stephan Ripke
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Sarah Jurk
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Shu-Chen Li
- Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Dresden, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Arun L.W. Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Erin Burke Quinlan
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King’s College London, United Kingdom
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King’s College London, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, Vermont, USA
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales & psychiatrie"; Université Paris-Saclay, École normale supérieure Paris-Saclay, CNRS, Centre Borelli; Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales & psychiatrie"; Université Paris-Saclay, École normale supérieure Paris-Saclay, CNRS, Centre Borelli; Gif-sur-Yvette, France
- Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U A10 "Trajectoires développementales & psychiatrie"; Université Paris-Saclay, École normale supérieure Paris-Saclay, CNRS, Centre Borelli; Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
- Institut des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, 33076 Bordeaux, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King’s College London, United Kingdom
- PONS Research Group, Dept of Psychiatry and Psychotherapy, Campus Charité Mitte, Humboldt University, Berlin and Leibniz Institute for Neurobiology, Magdeburg, Germany, and Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, P.R. China
| | - Michael N. Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
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Pollerhoff L, Stietz J, Depow GJ, Inzlicht M, Kanske P, Li SC, Reiter AMF. Investigating adult age differences in real-life empathy, prosociality, and well-being using experience sampling. Sci Rep 2022; 12:3450. [PMID: 35236872 PMCID: PMC8891267 DOI: 10.1038/s41598-022-06620-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 02/02/2022] [Indexed: 12/11/2022] Open
Abstract
While the importance of social affect and cognition is indisputable throughout the adult lifespan, findings of how empathy and prosociality develop and interact across adulthood are mixed and real-life data are scarce. Research using ecological momentary assessment recently demonstrated that adults commonly experience empathy in daily life. Furthermore, experiencing empathy was linked to higher prosocial behavior and subjective well-being. However, to date, it is not clear whether there are adult age differences in daily empathy and daily prosociality and whether age moderates the relationship between empathy and prosociality across adulthood. Here we analyzed experience-sampling data collected from participants across the adult lifespan to study age effects on empathy, prosocial behavior, and well-being under real-life circumstances. Linear and quadratic age effects were found for the experience of empathy, with increased empathy across the three younger age groups (18 to 45 years) and a slight decrease in the oldest group (55 years and older). Neither prosocial behavior nor well-being showed significant age-related differences. We discuss these findings with respect to (partially discrepant) results derived from lab-based and traditional survey studies. We conclude that studies linking in-lab experiments with real-life experience-sampling may be a promising venue for future lifespan studies.
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Affiliation(s)
- Lena Pollerhoff
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.
| | - Julia Stietz
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | | | - Michael Inzlicht
- Department of Psychology, University of Toronto, Toronto, ON, Canada
- Rotman School of Management, University of Toronto, Toronto, ON, Canada
| | - Philipp Kanske
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Shu-Chen Li
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
| | - Andrea M F Reiter
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
- German Centre of Prevention Research On Mental Health, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
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31
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An FP, Andriamirado M, Balantekin AB, Band HR, Bass CD, Bergeron DE, Berish D, Bishai M, Blyth S, Bowden NS, Bryan CD, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Chu MC, Classen T, Conant AJ, Cummings JP, Dalager O, Deichert G, Delgado A, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolinski MJ, Dolzhikov D, Dove J, Dvořák M, Dwyer DA, Erickson A, Foust BT, Gaison JK, Galindo-Uribarri A, Gallo JP, Gilbert CE, Gonchar M, Gong GH, Gong H, Grassi M, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Hans S, Hansell AB, He M, Heeger KM, Heffron B, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Koblanski J, Jaffe DE, Jayakumar S, Jen KL, Ji XL, Ji XP, Johnson RA, Jones DC, Kang L, Kettell SH, Kohn S, Kramer M, Kyzylova O, Lane CE, Langford TJ, LaRosa J, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Lu X, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Maricic J, Marshall C, McDonald KT, McKeown RD, Mendenhall MP, Meng Y, Meyer AM, Milincic R, Mueller PE, Mumm HP, Napolitano J, Naumov D, Naumova E, Neilson R, Nguyen TMT, Nikkel JA, Nour S, Ochoa-Ricoux JP, Olshevskiy A, Palomino JL, Pan HR, Park J, Patton S, Peng JC, Pun CSJ, Pushin DA, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Searles M, Steiner H, Sun JL, Surukuchi PT, Tmej T, Treskov K, Tse WH, Tull CE, Tyra MA, Varner RL, Venegas-Vargas D, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Weatherly PB, Wei HY, Wei LH, Wen LJ, Whisnant K, White C, Wilhelmi J, Wong HLH, Woolverton A, Worcester E, Wu DR, Wu FL, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JW, Zhang QM, Zhang SQ, Zhang X, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Joint Determination of Reactor Antineutrino Spectra from ^{235}U and ^{239}Pu Fission by Daya Bay and PROSPECT. Phys Rev Lett 2022; 128:081801. [PMID: 35275656 DOI: 10.1103/physrevlett.128.081801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/17/2021] [Accepted: 10/26/2021] [Indexed: 06/14/2023]
Abstract
A joint determination of the reactor antineutrino spectra resulting from the fission of ^{235}U and ^{239}Pu has been carried out by the Daya Bay and PROSPECT Collaborations. This Letter reports the level of consistency of ^{235}U spectrum measurements from the two experiments and presents new results from a joint analysis of both data sets. The measurements are found to be consistent. The combined analysis reduces the degeneracy between the dominant ^{235}U and ^{239}Pu isotopes and improves the uncertainty of the ^{235}U spectral shape to about 3%. The ^{235}U and ^{239}Pu antineutrino energy spectra are unfolded from the jointly deconvolved reactor spectra using the Wiener-SVD unfolding method, providing a data-based reference for other reactor antineutrino experiments and other applications. This is the first measurement of the ^{235}U and ^{239}Pu spectra based on the combination of experiments at low- and highly enriched uranium reactors.
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Affiliation(s)
- F P An
- Institute of Modern Physics, East China University of Science and Technology, Shanghai
| | - M Andriamirado
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - A B Balantekin
- Department of Physics, University of Wisconsin, Madison, Madison, Wisconsin
| | - H R Band
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - C D Bass
- Department of Physics, Le Moyne College, Syracuse, New York
| | - D E Bergeron
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - D Berish
- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - M Bishai
- Brookhaven National Laboratory, Upton, New York
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - N S Bowden
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - C D Bryan
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Shenzhen University, Shenzhen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- Institute of High Energy Physics, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J J Cherwinka
- Department of Physics, University of Wisconsin, Madison, Madison, Wisconsin
| | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | - T Classen
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - A J Conant
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | | | - O Dalager
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - G Deichert
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - A Delgado
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - M J Dolinski
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - M Dvořák
- Institute of High Energy Physics, Beijing
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Erickson
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia
| | - B T Foust
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - J K Gaison
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - A Galindo-Uribarri
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - C E Gilbert
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - M Grassi
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | | | - S Hans
- Brookhaven National Laboratory, Upton, New York
| | - A B Hansell
- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - B Heffron
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J H Huang
- Institute of High Energy Physics, Beijing
| | | | - Y B Huang
- Guangxi University, No.100 Daxue East Road, Nanning
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - J Koblanski
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York
| | - S Jayakumar
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221
| | - D C Jones
- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - O Kyzylova
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - C E Lane
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - T J Langford
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - J LaRosa
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - R H Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | | | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - J X Liu
- Institute of High Energy Physics, Beijing
| | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - X Lu
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - B Z Ma
- Shandong University, Jinan
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - R C Mandujano
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - J Maricic
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544
| | - R D McKeown
- California Institute of Technology, Pasadena, California 91125
- College of William and Mary, Williamsburg, Virginia 23187
| | - M P Mendenhall
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - A M Meyer
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - R Milincic
- Department of Physics & Astronomy, University of Hawaii, Honolulu, Hawaii
| | - P E Mueller
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - H P Mumm
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - J Napolitano
- Department of Physics, Temple University, Philadelphia, Pennsylvania
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - R Neilson
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - T M T Nguyen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - J A Nikkel
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - S Nour
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J L Palomino
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - D A Pushin
- Institute for Quantum Computing and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York
| | - B Roskovec
- Department of Physics and Astronomy, University of California, Irvine, California 92697
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - M Searles
- High Flux Isotope Reactor, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - P T Surukuchi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - M A Tyra
- National Institute of Standards and Technology, Gaithersburg, Maryland
| | - R L Varner
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
| | - D Venegas-Vargas
- Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee
- Department of Physics and Astronomy, University of Tennessee, Knoxville, Tennessee
| | - B Viren
- Brookhaven National Laboratory, Upton, New York
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- College of William and Mary, Williamsburg, Virginia 23187
| | - W Wang
- Nanjing University, Nanjing
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - P B Weatherly
- Department of Physics, Drexel University, Philadelphia, Pennsylvania
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | | | - C White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois
| | - J Wilhelmi
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
- Department of Physics, University of California, Berkeley, California 94720
| | - A Woolverton
- Institute for Quantum Computing and Department of Physics and Astronomy, University of Waterloo, Waterloo, Ontario
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - F L Wu
- Nanjing University, Nanjing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - H K Xu
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York
| | - B L Young
- Iowa State University, Ames, Iowa 50011
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - V Zavadskyi
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - S Q Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - X Zhang
- Nuclear and Chemical Sciences Division, Lawrence Livermore National Laboratory, Livermore, California
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - R Z Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
| | - J H Zou
- Institute of High Energy Physics, Beijing
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Müller S, Moser D, Frach L, Wimberger P, Nitzsche K, Li SC, Kirschbaum C, Alexander N. No long-term effects of antenatal synthetic glucocorticoid exposure on epigenetic regulation of stress-related genes. Transl Psychiatry 2022; 12:62. [PMID: 35173143 PMCID: PMC8850596 DOI: 10.1038/s41398-022-01828-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 12/10/2021] [Accepted: 01/04/2022] [Indexed: 11/09/2022] Open
Abstract
Antenatal synthetic glucocorticoid (sGC) treatment is a potent modifier of the hypothalamic-pituitary-adrenal (HPA) axis. In this context, epigenetic modifications are discussed as potential regulators explaining how prenatal exposure to GCs might translate into persistent changes of HPA axis "functioning". The purpose of this study was to investigate whether DNA methylation and gene expression profiles of stress-associated genes (NR3C1; FKBP5; SLC6A4) may mediate the persistent effects of sGC on cortisol stress reactivity that have been previously observed. In addition, hair cortisol concentrations (hairC) were investigated as a valid biomarker of long-term HPA axis activity. This cross-sectional study comprised 108 term-born children and adolescents, including individuals with antenatal GC treatment and controls. From whole blood, DNA methylation was analyzed by targeted deep bisulfite sequencing. Relative mRNA expression was determined by RT-qPCR experiments and qBase analysis. Acute stress reactivity was assessed by the Trier Social Stress Test (TSST) measuring salivary cortisol by ELISA and hairC concentrations were determined from hair samples by liquid chromatography coupled with tandem mass spectrometry. First, no differences in DNA methylation and mRNA expression levels of the stress-associated genes between individuals treated with antenatal sGC compared to controls were found. Second, DNA methylation and mRNA expression levels were neither associated with cortisol stress reactivity nor with hairC. These findings do not corroborate the belief that DNA methylation and mRNA expression profiles of stress-associated genes (NR3C1; FKBP5; SLC6A4) play a key mediating role of the persistent effects of sGC on HPA axis functioning.
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Affiliation(s)
- Svenja Müller
- Department of Genetic Psychology, Faculty of Psychology, Ruhr Universität Bochum, Universitätsstr. 150, 44801, Bochum, Germany.
| | - Dirk Moser
- grid.5570.70000 0004 0490 981XDepartment of Genetic Psychology, Faculty of Psychology, Ruhr Universität Bochum, Universitätsstr. 150, 44801 Bochum, Germany
| | - Leonard Frach
- grid.5570.70000 0004 0490 981XDepartment of Genetic Psychology, Faculty of Psychology, Ruhr Universität Bochum, Universitätsstr. 150, 44801 Bochum, Germany ,grid.83440.3b0000000121901201Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, 26 Bedford Way, London, WC1H 0AP UK
| | - Pauline Wimberger
- grid.4488.00000 0001 2111 7257Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307 Dresden, Germany
| | - Katharina Nitzsche
- grid.4488.00000 0001 2111 7257Department of Gynecology and Obstetrics, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307 Dresden, Germany
| | - Shu-Chen Li
- grid.4488.00000 0001 2111 7257Faculty of Psychology, Technische Universität Dresden, Zellescher Weg 17, 01602 Dresden, Germany ,grid.4488.00000 0001 2111 7257CeTI – Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, Georg-Schumann-Str. 9, 01187 Dresden, Germany
| | - Clemens Kirschbaum
- grid.4488.00000 0001 2111 7257Faculty of Psychology, Technische Universität Dresden, Zellescher Weg 17, 01602 Dresden, Germany
| | - Nina Alexander
- Department of Psychiatry and Psychotherapy, Philipps University Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Germany. .,Center for Mind, Brain and Behavior, Philipps University Marburg, Hans-Meerwein-Str. 6, 35032, Marburg, Germany.
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Senk S, Ulbricht M, Tsokalo I, Rischke J, Li SC, Speidel S, Nguyen GT, Seeling P, Fitzek FHP. Healing Hands: The Tactile Internet in Future Tele-Healthcare. Sensors (Basel) 2022; 22:s22041404. [PMID: 35214306 PMCID: PMC8963047 DOI: 10.3390/s22041404] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/31/2022] [Accepted: 02/01/2022] [Indexed: 02/01/2023]
Abstract
In the early 2020s, the coronavirus pandemic brought the notion of remotely connected care to the general population across the globe. Oftentimes, the timely provisioning of access to and the implementation of affordable care are drivers behind tele-healthcare initiatives. Tele-healthcare has already garnered significant momentum in research and implementations in the years preceding the worldwide challenge of 2020, supported by the emerging capabilities of communication networks. The Tactile Internet (TI) with human-in-the-loop is one of those developments, leading to the democratization of skills and expertise that will significantly impact the long-term developments of the provisioning of care. However, significant challenges remain that require today’s communication networks to adapt to support the ultra-low latency required. The resulting latency challenge necessitates trans-disciplinary research efforts combining psychophysiological as well as technological solutions to achieve one millisecond and below round-trip times. The objective of this paper is to provide an overview of the benefits enabled by solving this network latency reduction challenge by employing state-of-the-art Time-Sensitive Networking (TSN) devices in a testbed, realizing the service differentiation required for the multi-modal human-machine interface. With completely new types of services and use cases resulting from the TI, we describe the potential impacts on remote surgery and remote rehabilitation as examples, with a focus on the future of tele-healthcare in rural settings.
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Affiliation(s)
- Stefan Senk
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Deutsche Telekom Chair of Communication Network, 01062 Dresden, Germany; (S.S.); (M.U.); (J.R.); (F.H.P.F.)
| | - Marian Ulbricht
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Deutsche Telekom Chair of Communication Network, 01062 Dresden, Germany; (S.S.); (M.U.); (J.R.); (F.H.P.F.)
| | | | - Justus Rischke
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Deutsche Telekom Chair of Communication Network, 01062 Dresden, Germany; (S.S.); (M.U.); (J.R.); (F.H.P.F.)
| | - Shu-Chen Li
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Faculty of Psychology, Technische Universität Dresden, 01062 Dresden, Germany;
| | - Stefanie Speidel
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), National Center for Tumor Diseases, Technische Universität Dresden, 01062 Dresden, Germany;
| | - Giang T. Nguyen
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Chair of Haptic Communication Systems, 01062 Dresden, Germany;
| | - Patrick Seeling
- Department of Computer Science, Central Michigan University, Mount Pleasant, MI 48859, USA
- Correspondence:
| | - Frank H. P. Fitzek
- Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Deutsche Telekom Chair of Communication Network, 01062 Dresden, Germany; (S.S.); (M.U.); (J.R.); (F.H.P.F.)
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Li SC, Wang YB, Wu F, Xiao LH, Peng WW, Xiang ML, Chen JY, Chen M. First Report of Pyrus pyrifolia 'Cuiguan' Fruit Rot Caused by Monilinia fructicola in Southern China. Plant Dis 2022; 106:327. [PMID: 34372683 DOI: 10.1094/pdis-05-21-1076-pdn] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
- S C Li
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - Y B Wang
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - F Wu
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - L H Xiao
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - W W Peng
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - M L Xiang
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
| | - J Y Chen
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
- Pingxiang University, Pingxiang, Jiangxi 337055, China
| | - M Chen
- College of Agronomy, Jiangxi Agricultural University, Collaborative Innovation Center of Postharvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Jiangxi Key Laboratory for Postharvest Technology and Non-destructive Testing of Fruits & Vegetables, Nanchang, Jiangxi 330045, China
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Li YP, Ding JF, Abid HM, Zhang XH, Li SC, Song QZ, Jiang LH, Zhang JT, Wang HB. Oral oligofructose challenge reduces expression of glucose transport-1 and 5'-adenosine monophosphate-activated protein kinase in lamellar wall of Holstein heifer claw. Res Vet Sci 2021; 141:42-47. [PMID: 34662833 DOI: 10.1016/j.rvsc.2021.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Revised: 09/15/2021] [Accepted: 10/05/2021] [Indexed: 11/28/2022]
Abstract
The laminar tissue of bovine laminitis may undergo energy failure. The expression of glucose transport protein-1 (GLUT-1) and 5'-adenosine monophosphate-activated protein kinase (AMPK) affects the energy metabolism of digital laminar tissue. This study aimed to determine the expression of glucose uptake and AMPK in laminar wall corium of Holstein heifer claw by oral administration of oligofructose. A total of twelve clinically healthy Holstein heifers were selected and divided into two groups, including control (CON, n = 6) and experimental (OF, n = 6) groups. The heifers of OF group were given 17 g/kg BW oligofructose dissolved in water (20 mL/kg BW) and the heifers of CON group were given water only (20 mL/kg BW). The laminar tissues were collected after euthanasia. The amount of protein and transcript expression of AMPK and GLUT-1 were determined by western blot and quantitative reverse transcription-polymerase chain reaction (qRT-PCR), respectively. Expressions of phosphoenolpyruvate carboxy-kinase (PEPCK), receptor-c coactivator1-α (PGC-1α) and peroxisome proliferator-activated receptor-γ (PPAR-γ) were determined by qRT-PCR. The heifers of OF group showed no significant change in the expression and concentration of AMPK. The phosphor-(Thr172) AMPK and GLUT-1 were significantly decreased, while the gene contents of PPAR-γ and PGC-1α were significantly increased. The activation of AMPK and GLUT-1 in digital laminar tissues of heifers was inhibited, which may contribute to digital laminar tissue damage.
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Affiliation(s)
- Y P Li
- Department of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, PR China; Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, Harbin 150030, PR China
| | - J F Ding
- Department of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, PR China; Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, Harbin 150030, PR China
| | - H M Abid
- Department of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, PR China; Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, Harbin 150030, PR China
| | - X H Zhang
- Department of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, PR China; Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, Harbin 150030, PR China
| | - S C Li
- Department of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, PR China; Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, Harbin 150030, PR China
| | - Q Z Song
- Department of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, PR China; Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, Harbin 150030, PR China
| | - L H Jiang
- Department of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, PR China; Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, Harbin 150030, PR China
| | - J T Zhang
- Department of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, PR China; Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, Harbin 150030, PR China
| | - H B Wang
- Department of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Harbin 150030, PR China; Heilongjiang Key Laboratory for Laboratory Animals and Comparative Medicine, Harbin 150030, PR China.
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Hatzipanayioti A, Bodenstedt S, von Bechtolsheim F, Funke I, Oehme F, Distler M, Weitz J, Speidel S, Li SC. Associations Between Binocular Depth Perception and Performance Gains in Laparoscopic Skill Acquisition. Front Hum Neurosci 2021; 15:675700. [PMID: 34675789 PMCID: PMC8524002 DOI: 10.3389/fnhum.2021.675700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 08/27/2021] [Indexed: 11/26/2022] Open
Abstract
The ability to perceive differences in depth is important in many daily life situations. It is also of relevance in laparoscopic surgical procedures that require the extrapolation of three-dimensional visual information from two-dimensional planar images. Besides visual-motor coordination, laparoscopic skills and binocular depth perception are demanding visual tasks for which learning is important. This study explored potential relations between binocular depth perception and individual variations in performance gains during laparoscopic skill acquisition in medical students naïve of such procedures. Individual differences in perceptual learning of binocular depth discrimination when performing a random dot stereogram (RDS) task were measured as variations in the slope changes of the logistic disparity psychometric curves from the first to the last blocks of the experiment. The results showed that not only did the individuals differ in their depth discrimination; the extent with which this performance changed across blocks also differed substantially between individuals. Of note, individual differences in perceptual learning of depth discrimination are associated with performance gains from laparoscopic skill training, both with respect to movement speed and an efficiency score that considered both speed and precision. These results indicate that learning-related benefits for enhancing demanding visual processes are, in part, shared between these two tasks. Future studies that include a broader selection of task-varying monocular and binocular cues as well as visual-motor coordination are needed to further investigate potential mechanistic relations between depth perceptual learning and laparoscopic skill acquisition. A deeper understanding of these mechanisms would be important for applied research that aims at designing behavioral interventions for enhancing technology-assisted laparoscopic skills.
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Affiliation(s)
- Adamantini Hatzipanayioti
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Sebastian Bodenstedt
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
- Division of Translational Surgical Oncology, National Center for Tumor Diseases Partner Site Dresden, Dresden, Germany
| | - Felix von Bechtolsheim
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
- Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Isabel Funke
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
- Division of Translational Surgical Oncology, National Center for Tumor Diseases Partner Site Dresden, Dresden, Germany
| | - Florian Oehme
- Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Marius Distler
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
- Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Jürgen Weitz
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
- Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Stefanie Speidel
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
- Division of Translational Surgical Oncology, National Center for Tumor Diseases Partner Site Dresden, Dresden, Germany
| | - Shu-Chen Li
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
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Dilcher R, Beste C, Takacs A, Bluschke A, Tóth-Fáber E, Kleimaker M, Münchau A, Li SC. Perception-action integration in young age-A cross-sectional EEG study. Dev Cogn Neurosci 2021; 50:100977. [PMID: 34147987 PMCID: PMC8225655 DOI: 10.1016/j.dcn.2021.100977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 04/26/2021] [Accepted: 06/15/2021] [Indexed: 11/10/2022] Open
Abstract
Humans differ in their capacity for integrating perceived events and related actions. The "Theory of event coding" (TEC) conceptualizes how stimuli and actions are cognitively bound into a common functional representation (or "code"), known as the "event file". To date, however, the neural processes underlying the development of event file coding mechanisms across age are largely unclear. We investigated age-related neural changes of event file coding from late childhood to early adulthood, using EEG signal decompositions methods. We included a group of healthy participants (n = 91) between 10 and 30 years, performing an event file paradigm. Results of this study revealed age-related effects on event file coding processes both at the behavioural and the neurophysiological level. Performance accuracy data showed that event file unbinding und rebinding processes become more efficient from late childhood to early adulthood. These behavioural effects are reflected by age-related effects in two neurophysiological subprocesses associated with the superior parietal cortex (BA7) as revealed in the analyses using EEG signal decomposition. The first process entails mapping and association processes between stimulus and response; whereas, the second comprises inhibitory control subprocesses subserving the selection of the relevant motor programme amongst competing response options.
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Affiliation(s)
- Roxane Dilcher
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, TU Dresden, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany.
| | - Adam Takacs
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany
| | - Annet Bluschke
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Germany
| | - Eszter Tóth-Fáber
- Doctoral School of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary; Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | | | | | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, TU Dresden, Germany; Centre for Tactile Internet With Human-in-the-Loop, TU Dresden, Germany.
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Beste C, Mückschel M, Rauch J, Bluschke A, Takacs A, Dilcher R, Toth-Faber E, Bäumer T, Roessner V, Li SC, Münchau A. Distinct Brain-Oscillatory Neuroanatomical Architecture of Perception-Action Integration in Adolescents With Tourette Syndrome. Biological Psychiatry Global Open Science 2021; 1:123-134. [PMID: 36324991 PMCID: PMC9616364 DOI: 10.1016/j.bpsgos.2021.04.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 03/25/2021] [Accepted: 04/18/2021] [Indexed: 11/26/2022] Open
Abstract
Background Gilles de la Tourette Syndrome (GTS) is a neurodevelopmental disorder with a peak of symptom severity around late childhood and early adolescence. Previous findings in adult GTS suggest that changes in perception-action integration, as conceptualized in the theory of event coding framework, are central for the understanding of GTS. However, the neural mechanisms underlying these processes in adolescence are elusive. Methods A total of 59 children/adolescents aged 9 to 18 years (n = 32 with GTS, n = 27 typically developing youths) were examined using a perception-action integration task (event file task) derived from the theory of event coding. Event-related electroencephalogram recordings (theta and beta band activity) were analyzed using electroencephalogram–beamforming methods. Results Behavioral data showed robust event file binding effects in both groups without group differences. Neurophysiological data showed that theta and beta band activity were involved in event file integration in both groups. However, the functional neuroanatomical organization was markedly different for theta band activity between the groups. The typically developing group mainly relied on superior frontal regions, whereas the GTS group engaged parietal and inferior frontal regions. A more consistent functional neuroanatomical activation pattern was observed for the beta band, engaging inferior parietal and temporal regions in both groups. Conclusions Perception-action integration processes lag behind in persisting GTS but not in the GTS population as a whole, underscoring differences in developmental trajectories and the importance of longitudinal investigations for the understanding of GTS. The findings corroborate known differences in the functional/structural brain organization in GTS and suggest an important role of theta band activity in these patients.
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Stietz J, Pollerhoff L, Kurtz M, Li SC, Reiter AMF, Kanske P. The ageing of the social mind: replicating the preservation of socio-affective and the decline of socio-cognitive processes in old age. R Soc Open Sci 2021; 8:210641. [PMID: 34457343 PMCID: PMC8386516 DOI: 10.1098/rsos.210641] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 08/04/2021] [Indexed: 05/06/2023]
Abstract
Anticipating population ageing to reach a historically unprecedented level in this century and considering the public goal of promoting well-being until old age, research in many fields has started to focus on processes and factors that contribute to healthy ageing. Since human interactions have a tremendous impact on our mental and physical well-being, scientists are increasingly investigating the basic processes that enable successful social interactions such as social affect (empathy, compassion) and social cognition (Theory of Mind). However, regarding the replication crisis in psychological science it is crucial to probe the reproducibility of findings revealed by each specific method. To this end, we aimed to replicate the effect of age on empathy, compassion and Theory of Mind observed in Reiter and colleagues' study (Reiter et al. 2017 Sci. Rep. 7, 11046 (doi:10.1038/s41598-017-10669-4)) by using the same ecologically valid paradigm in an independent sample with similar age ranges. We were able to replicate the previously observed results of a preservation or even enhancement in socio-affective processes, but a decline in socio-cognitive processes for older adults. Our findings add to the understanding of how social affect and cognition change across the adult lifespan and may suggest targets for intervention studies aiming to foster successful social interactions and well-being until advanced old age.
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Affiliation(s)
- Julia Stietz
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Lena Pollerhoff
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Marcel Kurtz
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Shu-Chen Li
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Centre for Tactile Internet with Human-in-the-Loop, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Andrea M. F. Reiter
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, University of Würzburg, Würzburg, Germany
| | - Philipp Kanske
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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Glöckner F, Schuck NW, Li SC. Differential prioritization of intramaze cue and boundary information during spatial navigation across the human lifespan. Sci Rep 2021; 11:15257. [PMID: 34315933 PMCID: PMC8316315 DOI: 10.1038/s41598-021-94530-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 07/07/2021] [Indexed: 02/07/2023] Open
Abstract
Spatial learning can be based on intramaze cues and environmental boundaries. These processes are predominantly subserved by striatal- and hippocampal-dependent circuitries, respectively. Maturation and aging processes in these brain regions may affect lifespan differences in their contributions to spatial learning. We independently manipulated an intramaze cue or the environment's boundary in a navigation task in 27 younger children (6-8 years), 30 older children (10-13 years), 29 adolescents (15-17 years), 29 younger adults (20-35 years) and 26 older adults (65-80 years) to investigate lifespan age differences in the relative prioritization of either information. Whereas learning based on an intramaze cue showed earlier maturation during the progression from younger to later childhood and remained relatively stable across adulthood, maturation of boundary-based learning was more protracted towards peri-adolescence and showed strong aging-related decline. Furthermore, individual differences in prioritizing intramaze cue- over computationally more demanding boundary-based learning was positively associated with cognitive processing fluctuations and this association was partially mediated by spatial working memory capacity during adult, but not during child development. This evidence reveals different age gradients of two modes of spatial learning across the lifespan, which seem further influenced by individual differences in cognitive processing fluctuations and working memory, particularly during aging.
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Affiliation(s)
- Franka Glöckner
- grid.4488.00000 0001 2111 7257Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Zellescher Weg 17, 01069 Dresden, Germany
| | - Nicolas W. Schuck
- grid.419526.d0000 0000 9859 7917Max Planck Research Group NeuroCode, Max Planck Institute for Human Development, 14195 Berlin, Germany ,grid.4372.20000 0001 2105 1091Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Shu-Chen Li
- grid.4488.00000 0001 2111 7257Faculty of Psychology, Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden, Zellescher Weg 17, 01069 Dresden, Germany ,grid.4488.00000 0001 2111 7257CeTI - Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, 01069 Dresden, Germany
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Muschter E, Noll A, Zhao J, Hassen R, Strese M, Gulecyuz B, Li SC, Steinbach E. Perceptual Quality Assessment of Compressed Vibrotactile Signals Through Comparative Judgment. IEEE Trans Haptics 2021; 14:291-296. [PMID: 33939614 DOI: 10.1109/toh.2021.3077191] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
In this article, we present a comprehensive scheme for the quality assessment of compressed vibrotactile signals with human assessors. Inspired by the multiple stimulus test with hidden reference and anchors (MUSHRA) from the audio domain, we designed a method in which each compressed signal is compared to its original signal and rated on a numerical scale. For each signal tested, the hidden reference and two anchor signals are used to validate the results and provide assessor screening criteria. Differing from previous approaches, our method is hierarchically structured and strictly timed in a sequential manner to avoid experimental confounds and provide precise psychophysical assessments. We validated our method in an experiment with 20 human participants in which we compared two state-of-the-art lossy codecs. The results show that, with our approach, the performance of different codecs can be compared effectively. Furthermore, the method also provides a measure of subjective quality at different data compression rates. The proposed procedure can be easily adapted to evaluate other vibrotactile codecs.
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Dilcher R, Jamous R, Takacs A, Tóth-Fáber E, Münchau A, Li SC, Beste C. Neurophysiology of embedded response plans: age effects in action execution but not in feature integration from preadolescence to adulthood. J Neurophysiol 2021; 125:1382-1395. [PMID: 33689490 DOI: 10.1152/jn.00681.2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Performing a goal-directed movement consists of a chain of complex preparatory mechanisms. Such planning especially requires integration (or binding) of various action features, a process that has been conceptualized in the "theory of event coding." Theoretical considerations and empirical research suggest that these processes are subject to developmental effects from adolescence to adulthood. The aim of the present study was to investigate age-related modulations in action feature binding processes and to shed light on underlying neurophysiological development from preadolescence to early adulthood. We examined a group of healthy participants (n = 61) between 10 and 30 yr of age, who performed a task that requires a series of bimanual response selections in an embedded paradigm. For an in-depth analysis of the underlying neural correlates, we applied EEG signal decomposition together with source localization analyses. Behavioral results across the whole group did not show binding effects in reaction times but in intraindividual response variability. From age 10 to 30 yr, there was a decrease in reaction times and reaction time variability but no age-related effect in action file binding. The latter were corroborated by Bayesian data analyses. On the brain level, the developmental effects on response selection were associated with activation modulations in the superior parietal cortex (BA7). The results show that mechanisms of action execution and speed, but not those of action feature binding, are subject to age-related changes between the age of 10 and 30 yr.NEW & NOTEWORTHY Different aspects of an action need to be integrated to allow smooth unfolding of behavior. We examine developmental effects in these processes and show that mechanisms of action execution and speed, but not those of action feature binding, are subject to age-related changes between the age of 10 and 30 yr.
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Affiliation(s)
- Roxane Dilcher
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, TU Dresden, Dresden, Germany
| | - Roula Jamous
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Adam Takacs
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Eszter Tóth-Fáber
- Doctoral School of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.,Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Alexander Münchau
- Institute of Systems Motor Science, University of Lübeck, Lübeck, Germany
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, TU Dresden, Dresden, Germany.,Centre for Tactile Internet with Human-in-the-Loop, TU Dresden, Dresden, Germany
| | - Christian Beste
- Cognitive Neurophysiology, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany
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Jin X, Wang HY, Zhang J, Chu ZX, Hu ZL, Bao RT, Li H, Huang XJ, Chen YK, Wang H, He XQ, Zhang LK, Ding HB, Geng WQ, Jiang YJ, Li SC, Xu JJ. [HIV self-testing reagent use in pre-exposure prophylaxis and related factors in men who have sex with men]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:278-283. [PMID: 33626616 DOI: 10.3760/cma.j.cn112338-20200420-00603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the current status of HIV self-testing reagent use in pre-exposure prophylaxis (PrEP) and related factors in men who have sex with men (MSM). Methods: From December 2018 to December 2019, "Gold data" online platform (www.jinshuju.com) was used to conduct multicenter PrEP studies in Shenyang, Beijing, Chongqing and Shenzhen of China. Results: A total of 1 222 MSM PrEP users were included in the multicenter study. The average age of the participants was (31.5±8.7) years, and the number of sexual partners in the past three months was 3 (P25,P75:2,6). The proportions of those who did not use condoms in anal sex with fixed, casual and commercial partners were 62.7% (456/727), 56.3% (440/781) and 41.0% (16/39), respectively. Up to 74.5% (910/1 222) of participants had used HIV self-testing reagents, and the number of HIV self-testing during last year was 3 (P25,P75:2,5). The multivariate logistic regression analysis indicated that compared with age group >40 years, those with education level of junior high school or below, those with psychological identity as female, event driven PrEP users, those never using new type drugs in past 3 months, the participants aged 18- years (aOR=2.06, 95%CI: 1.35-3.14), 26- years (aOR=2.72, 95%CI: 1.77-4.17), 31- years (aOR=1.76, 95%CI: 1.19-2.59), undergraduates (aOR=2.18, 95%CI: 1.35-3.49), graduate students and above (aOR=3.06, 95%CI: 1.69-5.54), those with psychological identity as male (aOR=3.22, 95%CI: 1.55-6.70), daily PrEP users (aOR=1.35, 95%CI: 1.03-1.78), and new type drug users in the past three months (aOR=1.72, 95%CI: 1.30-2.28) had higher proportions of HIV self-testing behaviors. Conclusions: The proportion of HIV self-testing in MSM PrEP users was high, while it was relatively low in older age group, event driven PrEP users and MSM never using new type drugs. To assess and improve the effectiveness and compliance of PrEPs, it is necessary to provide better HIV self-testing service for MSM with low HIV self-testing rate.
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Affiliation(s)
- X Jin
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - H Y Wang
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - J Zhang
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Z X Chu
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Z L Hu
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - R T Bao
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - H Li
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - X J Huang
- Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
| | - Y K Chen
- Chongqing Public Health Medical Center, Chongqing 400036, China
| | - H Wang
- The Third People's Hospital of Shenzhen, Shenzhen 518000, China
| | - X Q He
- Chongqing Public Health Medical Center, Chongqing 400036, China
| | - L K Zhang
- The Third People's Hospital of Shenzhen, Shenzhen 518000, China
| | - H B Ding
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - W Q Geng
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - Y J Jiang
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - S C Li
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - J J Xu
- Key Laboratory of AIDS Immunology of National Health Commision (China Medical University), National Clinical Research Center for Laboratory Medicine, The First Affiliated Hospital of China Medical University, Shenyang 110001, China
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Reiter AMF, Diaconescu AO, Eppinger B, Li SC. Human aging alters social inference about others' changing intentions. Neurobiol Aging 2021; 103:98-108. [PMID: 33845400 DOI: 10.1016/j.neurobiolaging.2021.01.034] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 01/08/2021] [Accepted: 01/09/2021] [Indexed: 01/28/2023]
Abstract
Decoding others' intentions accurately in order to adapt one's own behavior is pivotal throughout life. In this study, we asked how younger and older adults deal with uncertainty in dynamic social environments. We used an advice-taking paradigm together with Bayesian modeling to characterize effects of aging on learning about others' time-varying intentions. We observed age differences when comparing learning on two levels of social uncertainty: the fidelity of the adviser and the volatility of intentions. Older adults expected the adviser to change his/her intentions more frequently (i.e., a higher volatility of the adviser). They also showed higher confidence (i.e., precision) in their volatility beliefs and were less willing to change their beliefs about volatility over the course of the experiment. This led them to update their predictions about the fidelity of the adviser more quickly. Potentially indicative of stereotype effects, we observed that older advisers were perceived as more volatile, but also more faithful than younger advisers. This offers new insights into adult age differences in response to social uncertainty.
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Affiliation(s)
- Andrea M F Reiter
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Germany; Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK; Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University of Würzburg, Würzburg, Germany.
| | - Andreea O Diaconescu
- Translational Neuromodeling Unit, University of Zurich & ETH Zurich, Switzerland; Department of Psychiatry, University of Basel, Switzerland; Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), University of Toronto, Canada
| | - Ben Eppinger
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Germany; Department of Psychology, Concordia University, Canada; PERFORM Centre, Concordia University, Canada
| | - Shu-Chen Li
- Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Germany; CeTI - Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Germany
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Schommartz I, Dix A, Passow S, Li SC. Functional Effects of Bilateral Dorsolateral Prefrontal Cortex Modulation During Sequential Decision-Making: A Functional Near-Infrared Spectroscopy Study With Offline Transcranial Direct Current Stimulation. Front Hum Neurosci 2021; 14:605190. [PMID: 33613203 PMCID: PMC7886709 DOI: 10.3389/fnhum.2020.605190] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 12/21/2020] [Indexed: 11/13/2022] Open
Abstract
The ability to learn sequential contingencies of actions for predicting future outcomes is indispensable for flexible behavior in many daily decision-making contexts. It remains open whether such ability may be enhanced by transcranial direct current stimulation (tDCS). The present study combined tDCS with functional near-infrared spectroscopy (fNIRS) to investigate potential tDCS-induced effects on sequential decision-making and the neural mechanisms underlying such modulations. Offline tDCS and sham stimulation were applied over the left and right dorsolateral prefrontal cortex (dlPFC) in young male adults (N = 29, mean age = 23.4 years, SD = 3.2) in a double-blind between-subject design using a three-state Markov decision task. The results showed (i) an enhanced dlPFC hemodynamic response during the acquisition of sequential state transitions that is consistent with the findings from a previous functional magnetic resonance imaging (fMRI) study; (ii) a tDCS-induced increase of the hemodynamic response in the dlPFC, but without accompanying performance-enhancing effects at the behavioral level; and (iii) a greater tDCS-induced upregulation of hemodynamic responses in the delayed reward condition that seems to be associated with faster decision speed. Taken together, these findings provide empirical evidence for fNIRS as a suitable method for investigating hemodynamic correlates of sequential decision-making as well as functional brain correlates underlying tDCS-induced modulation. Future research with larger sample sizes for carrying out subgroup analysis is necessary in order to decipher interindividual differences in tDCS-induced effects on sequential decision-making process at the behavioral and brain levels.
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Affiliation(s)
- Iryna Schommartz
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Department of Developmental Psychology, Institute of Psychology, Goethe University Frankfurt, Frankfurt, Germany
| | - Annika Dix
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
| | - Susanne Passow
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
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Chen YF, Tu YC, Li SC, Hsieh MX, Yu YT, Liang HC, Huang KF. Propagation-dependent evolution of interfering multiple beams and kaleidoscopic vortex lattices. Opt Lett 2021; 46:102-105. [PMID: 33362018 DOI: 10.1364/ol.415414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 11/26/2020] [Indexed: 06/12/2023]
Abstract
In this Letter, we experimentally explore the propagation-dependent evolution of generating the pseudo-nondiffracting quasi-crystalline (crystalline) beams based on the multibeam interference. We originally derived an analytical formula to exactly manifest the propagation evolution of interfering multiple beams. With the analytical formula, the formation of quasi-crystalline structures in the focal plane can be explicitly verified. Furthermore, the distance of the effective propagation-invariant region can be verified in terms of experimental parameters. More importantly, we employed the developed formula to confirm the formation of kaleidoscopic vortex lattices by means of numerically computing the propagation-dependent phase singularities.
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Chen HY, Dix A, Goh JOS, Smolka MN, Thurm F, Li SC. Effects and mechanisms of information saliency in enhancing value-based decision-making in younger and older adults. Neurobiol Aging 2020; 99:86-98. [PMID: 33422897 DOI: 10.1016/j.neurobiolaging.2020.11.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Revised: 10/12/2020] [Accepted: 11/27/2020] [Indexed: 11/16/2022]
Abstract
Aging attenuates frontostriatal network functioning, which could lead to deficits in value computation when decision-making involves uncertainty. Although it has been shown that visually enhancing information saliency of outcome probability can improve decision-making in old age, mechanisms of this effect are still unclear. In the present study, the saliency of outcome probability was increased using a color-coding scheme as a decision aid in a mixed lottery choice task, and spontaneous eye-blink rate and pupillary responses were assessed in younger and older adults. Older adults showed lower value sensitivity than younger adults; however, increasing information saliency benefitted choice behaviors in both age groups. Furthermore, the decision aid reduced pupil size during decision-making in both age groups, suggesting that enhancing information saliency decreases cognitive demands of value computation. Baseline value sensitivity was negatively correlated with benefit of enhancing information saliency only in older adults. As value representations in older decision makers are less distinctive at baseline, they may have required more environmental compensation than younger adults.
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Affiliation(s)
- Hsiang-Yu Chen
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.
| | - Annika Dix
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany; Chair of Engineering Psychology and Applied Cognitive Research, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, Germany
| | - Joshua Oon Soo Goh
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Psychology, National Taiwan University, Taipei, Taiwan
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Franka Thurm
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, Germany
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Baeuchl C, Kroemer N, Pooseh S, Petzold J, Bitzer S, Thurm F, Li SC, Smolka MN. Reward modulates the association between sensory noise and brain activity during perceptual decision-making. Neuropsychologia 2020; 149:107675. [PMID: 33186571 DOI: 10.1016/j.neuropsychologia.2020.107675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 10/22/2020] [Accepted: 11/05/2020] [Indexed: 11/17/2022]
Abstract
Perceptual decisions entail the accumulation of evidence until a decision criterion is reached. The amount of noise in this process is inversely related to the behavioral performance of the decision-maker. Hence, reducing the amount of perceived noise could improve performance in perceptual decisions. In this study, we investigated whether providing monetary reward for correct responses in a perceptual decision-making task would enhance performance based on prior research linking noise reduction to the administration of reward. To this end, thirty-one healthy young adults carried out an incentivized dot tracking task (iDT) during recording of functional magnetic resonance imaging (fMRI). Behavioral responses were fitted to a Bayesian version of the drift-diffusion model that, among other parameters, also includes an estimate of sensory noise. Fifty percent of the trials were incentivized to compare rewarded with unrewarded trials regarding behavior, brain responses and estimates of model parameters. In order to establish a link between the noise parameter and fMRI activity, we correlated percent signal change (PSC) values from nucleus accumbens and caudate nucleus with noise levels in rewarded and unrewarded trials respectively. Although reward did not affect behavioral performance and model parameters, the fMRI analyses showed notable differences in nucleus accumbens, caudate nucleus and rostral anterior cingulate cortex in rewarded relative to unrewarded trials. Furthermore, higher PSC within nucleus accumbens was significantly associated with lower sensory noise levels, which was specific to rewarded trials. This work is consistent with previous findings on reward modulation of brain responses and marks a first step towards elucidating the effects of reward-induced noise suppression during perceptual decision-making.
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Affiliation(s)
- Christian Baeuchl
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Nils Kroemer
- Department of Psychiatry & Psychotherapy, University of Tübingen, Tübingen, Germany; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Shakoor Pooseh
- Freiburg Center for Data Analysis and Modeling, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany; Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Johannes Petzold
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Sebastian Bitzer
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Franka Thurm
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Shu-Chen Li
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.
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Thams F, Kuzmina A, Backhaus M, Li SC, Grittner U, Antonenko D, Flöel A. Cognitive training and brain stimulation in prodromal Alzheimer's disease (AD-Stim)-study protocol for a double-blind randomized controlled phase IIb (monocenter) trial. Alzheimers Res Ther 2020; 12:142. [PMID: 33160420 PMCID: PMC7648990 DOI: 10.1186/s13195-020-00692-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 09/16/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND Given the growing older population worldwide, and the associated increase in age-related diseases, such as Alzheimer's disease (AD), investigating non-invasive methods to ameliorate or even prevent cognitive decline in prodromal AD is highly relevant. Previous studies suggest transcranial direct current stimulation (tDCS) to be an effective method to boost cognitive performance, especially when applied in combination with cognitive training in healthy older adults. So far, no studies combining tDCS concurrent with an intense multi-session cognitive training in prodromal AD populations have been conducted. METHODS The AD-Stim trial is a monocentric, randomized, double-blind, placebo-controlled study, including a 3-week tDCS-assisted cognitive training with anodal tDCS over left DLPFC (target intervention), compared to cognitive training plus sham (control intervention). The cognitive training encompasses a letter updating task and a three-stage Markov decision-making task. Forty-six participants with subjective cognitive decline (SCD) or mild cognitive impairment (MCI) will be randomized block-wise to either target or control intervention group and participate in nine interventional visits with additional pre- and post-intervention assessments. Performance in the letter updating task after training and anodal tDCS compared to sham stimulation will be analyzed as primary outcome. Further, performance on the second training task and transfer tasks will be investigated. Two follow-up visits (at 1 and 7 months post-training) will be performed to assess possible maintenance effects. Structural and functional magnetic resonance imaging (MRI) will be applied before the intervention and at the 7-month follow-up to identify possible neural predictors for successful intervention. SIGNIFICANCE With this trial, we aim to provide evidence for tDCS-induced improvements of multi-session cognitive training in participants with SCD and MCI. An improved understanding of tDCS effects on cognitive training performance and neural predictors may help to develop novel approaches to counteract cognitive decline in participants with prodromal AD. TRIAL REGISTRATION ClinicalTrials.gov , NCT04265378 . Registered on 07 February 2020. Retrospectively registered. Protocol version: Based on BB 004/18 version 1.2 (May 17, 2019). SPONSOR University Medicine Greifswald.
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Affiliation(s)
- Friederike Thams
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
| | - Anna Kuzmina
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
| | - Malte Backhaus
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
| | - Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, TU Dresden, Zellescher Weg 17, 01062 Dresden, Germany
- Centre for Tactile Internet with Human-in-the-Loop, TU Dresden, 01062 Dresden, Germany
| | - Ulrike Grittner
- Berlin Institute of Health (BIH), Anna-Louisa-Karsch-Straße 2, 10178 Berlin, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, And Berlin Institute of Health, Institute of Biometry and Clinical Epidemiology, Charitéplatz 1, 10117 Berlin, Germany
| | - Daria Antonenko
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
| | - Agnes Flöel
- Department of Neurology, Universitätsmedizin Greifswald, Ferdinand-Sauerbruch-Straße, 17475 Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, Greifswald, Germany
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Adamson P, An FP, Anghel I, Aurisano A, Balantekin AB, Band HR, Barr G, Bishai M, Blake A, Blyth S, Cao GF, Cao J, Cao SV, Carroll TJ, Castromonte CM, Chang JF, Chang Y, Chen HS, Chen R, Chen SM, Chen Y, Chen YX, Cheng J, Cheng ZK, Cherwinka JJ, Childress S, Chu MC, Chukanov A, Coelho JAB, Cummings JP, Dash N, De Rijck S, Deng FS, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dvořák M, Dwyer DA, Evans JJ, Feldman GJ, Flanagan W, Gabrielyan M, Gallo JP, Germani S, Gomes RA, Gonchar M, Gong GH, Gong H, Gouffon P, Graf N, Grzelak K, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Habig A, Hackenburg RW, Hahn SR, Hans S, Hartnell J, Hatcher R, He M, Heeger KM, Heng YK, Higuera A, Holin A, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang J, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Koerner LW, Kohn S, Kordosky M, Kramer M, Kreymer A, Lang K, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li S, Li SC, Li SJ, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu Y, Liu YH, Lu C, Lu HQ, Lu JS, Lucas P, Luk KB, Ma XB, Ma XY, Ma YQ, Mann WA, Marshak ML, Marshall C, Martinez Caicedo DA, Mayer N, McDonald KT, McKeown RD, Mehdiyev R, Meier JR, Meng Y, Miller WH, Mills G, Mora Lepin L, Naples D, Napolitano J, Naumov D, Naumova E, Nelson JK, Nichol RJ, O'Connor J, Ochoa-Ricoux JP, Olshevskiy A, Pahlka RB, Pan HR, Park J, Patton S, Pavlović Ž, Pawloski G, Peng JC, Perch A, Pfützner MM, Phan DD, Plunkett RK, Poonthottathil N, Pun CSJ, Qi FZ, Qi M, Qian X, Qiu X, Radovic A, Raper N, Ren J, Reveco CM, Rosero R, Roskovec B, Ruan XC, Sail P, Sanchez MC, Schneps J, Schreckenberger A, Shaheed N, Sharma R, Sousa A, Steiner H, Sun JL, Tagg N, Thomas J, Thomson MA, Timmons A, Tmej T, Todd J, Tognini SC, Toner R, Torretta D, Treskov K, Tse WH, Tull CE, Vahle P, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang W, Wang X, Wang Y, Wang YF, Wang Z, Wang Z, Wang ZM, Weber A, Wei HY, Wei LH, Wen LJ, Whisnant K, White C, Whitehead LH, Wojcicki SG, Wong HLH, Wong SCF, Worcester E, Wu DR, Wu FL, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JW, Zhang QM, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhou L, Zhuang HL. Improved Constraints on Sterile Neutrino Mixing from Disappearance Searches in the MINOS, MINOS+, Daya Bay, and Bugey-3 Experiments. Phys Rev Lett 2020; 125:071801. [PMID: 32857527 DOI: 10.1103/physrevlett.125.071801] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 06/13/2020] [Accepted: 06/15/2020] [Indexed: 06/11/2023]
Abstract
Searches for electron antineutrino, muon neutrino, and muon antineutrino disappearance driven by sterile neutrino mixing have been carried out by the Daya Bay and MINOS+ collaborations. This Letter presents the combined results of these searches, along with exclusion results from the Bugey-3 reactor experiment, framed in a minimally extended four-neutrino scenario. Significantly improved constraints on the θ_{μe} mixing angle are derived that constitute the most constraining limits to date over five orders of magnitude in the mass-squared splitting Δm_{41}^{2}, excluding the 90% C.L. sterile-neutrino parameter space allowed by the LSND and MiniBooNE observations at 90% CL_{s} for Δm_{41}^{2}<13 eV^{2}. Furthermore, the LSND and MiniBooNE 99% C.L. allowed regions are excluded at 99% CL_{s} for Δm_{41}^{2}<1.6 eV^{2}.
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Affiliation(s)
- P Adamson
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - F P An
- Institute of Modern Physics, East China University of Science and Technology, Shanghai
| | - I Anghel
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - A Aurisano
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - A B Balantekin
- Physics Department, University of Wisconsin, Madison, Wisconsin 53706, USA
| | - H R Band
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - G Barr
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
| | - M Bishai
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - A Blake
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
- Lancaster University, Lancaster, LA1 4YB, United Kingdom
| | - S Blyth
- Department of Physics, National Taiwan University, Taipei
| | - G F Cao
- Institute of High Energy Physics, Beijing
| | - J Cao
- Institute of High Energy Physics, Beijing
| | - S V Cao
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - T J Carroll
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - C M Castromonte
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - J F Chang
- Institute of High Energy Physics, Beijing
| | - Y Chang
- National United University, Miao-Li
| | - H S Chen
- Institute of High Energy Physics, Beijing
| | - R Chen
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - S M Chen
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Y Chen
- Shenzhen University, Shenzhen
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Chen
- North China Electric Power University, Beijing
| | - J Cheng
- Institute of High Energy Physics, Beijing
| | - Z K Cheng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J J Cherwinka
- Physics Department, University of Wisconsin, Madison, Wisconsin 53706, USA
| | - S Childress
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M C Chu
- Chinese University of Hong Kong, Hong Kong
| | - A Chukanov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J A B Coelho
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | | | - N Dash
- Institute of High Energy Physics, Beijing
| | - S De Rijck
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - F S Deng
- University of Science and Technology of China, Hefei
| | - Y Y Ding
- Institute of High Energy Physics, Beijing
| | - M V Diwan
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - T Dohnal
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - D Dolzhikov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J Dove
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - M Dvořák
- Institute of High Energy Physics, Beijing
| | - D A Dwyer
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - J J Evans
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - G J Feldman
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - W Flanagan
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
- Department of Physics, University of Dallas, Irving, Texas 75062, USA
| | - M Gabrielyan
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - J P Gallo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - S Germani
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - R A Gomes
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - M Gonchar
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - G H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H Gong
- Department of Engineering Physics, Tsinghua University, Beijing
| | - P Gouffon
- Instituto de Física, Universidade de São Paulo, CP 66318, 05315-970, São Paulo, Sao Paulo, Brazil
| | - N Graf
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - K Grzelak
- Department of Physics, University of Warsaw, PL-02-093 Warsaw, Poland
| | - W Q Gu
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Y Guo
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - X H Guo
- Beijing Normal University, Beijing
| | - Y H Guo
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - Z Guo
- Department of Engineering Physics, Tsinghua University, Beijing
| | - A Habig
- Department of Physics, University of Minnesota Duluth, Duluth, Minnesota 55812, USA
| | - R W Hackenburg
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - S R Hahn
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Hans
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - J Hartnell
- Department of Physics and Astronomy, University of Sussex, Falmer, Brighton BN1 9QH, United Kingdom
| | - R Hatcher
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - M He
- Institute of High Energy Physics, Beijing
| | - K M Heeger
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y K Heng
- Institute of High Energy Physics, Beijing
| | - A Higuera
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - A Holin
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - Y K Hor
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y B Hsiung
- Department of Physics, National Taiwan University, Taipei
| | - B Z Hu
- Department of Physics, National Taiwan University, Taipei
| | - J R Hu
- Institute of High Energy Physics, Beijing
| | - T Hu
- Institute of High Energy Physics, Beijing
| | - Z J Hu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H X Huang
- China Institute of Atomic Energy, Beijing
| | - J Huang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | | | - Y B Huang
- Institute of High Energy Physics, Beijing
| | - P Huber
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D E Jaffe
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - K L Jen
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - X L Ji
- Institute of High Energy Physics, Beijing
| | - X P Ji
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - R A Johnson
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - D Jones
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122, USA
| | - L Kang
- Dongguan University of Technology, Dongguan
| | - S H Kettell
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - L W Koerner
- Department of Physics, University of Houston, Houston, Texas 77204, USA
| | - S Kohn
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - M Kordosky
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - M Kramer
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - A Kreymer
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Lang
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - T J Langford
- Wright Laboratory and Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J Lee
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - J H C Lee
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - R T Lei
- Dongguan University of Technology, Dongguan
| | - R Leitner
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - J K C Leung
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Li
- Institute of High Energy Physics, Beijing
| | - H L Li
- Institute of High Energy Physics, Beijing
| | - J J Li
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Q J Li
- Institute of High Energy Physics, Beijing
| | - S Li
- Dongguan University of Technology, Dongguan
| | - S C Li
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - S J Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - W D Li
- Institute of High Energy Physics, Beijing
| | - X N Li
- Institute of High Energy Physics, Beijing
| | - X Q Li
- School of Physics, Nankai University, Tianjin
| | - Y F Li
- Institute of High Energy Physics, Beijing
| | - Z B Li
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - H Liang
- University of Science and Technology of China, Hefei
| | - C J Lin
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - G L Lin
- Institute of Physics, National Chiao-Tung University, Hsinchu
| | - S Lin
- Dongguan University of Technology, Dongguan
| | - J J Ling
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J M Link
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - L Littenberg
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B R Littlejohn
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - J C Liu
- Institute of High Energy Physics, Beijing
| | - J L Liu
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Y Liu
- Shandong University, Jinan
| | | | - C Lu
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544, USA
| | - H Q Lu
- Institute of High Energy Physics, Beijing
| | - J S Lu
- Institute of High Energy Physics, Beijing
| | - P Lucas
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K B Luk
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - X B Ma
- North China Electric Power University, Beijing
| | - X Y Ma
- Institute of High Energy Physics, Beijing
| | - Y Q Ma
- Institute of High Energy Physics, Beijing
| | - W A Mann
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - M L Marshak
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - C Marshall
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - D A Martinez Caicedo
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - N Mayer
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - K T McDonald
- Joseph Henry Laboratories, Princeton University, Princeton, New Jersey 08544, USA
| | - R D McKeown
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
- Lauritsen Laboratory, California Institute of Technology, Pasadena, California 91125, USA
| | - R Mehdiyev
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - J R Meier
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - Y Meng
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - W H Miller
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - G Mills
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - L Mora Lepin
- Instituto de Física, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - D Naples
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - J Napolitano
- Department of Physics, College of Science and Technology, Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Naumov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - E Naumova
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - J K Nelson
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - R J Nichol
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J O'Connor
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - J P Ochoa-Ricoux
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - A Olshevskiy
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - R B Pahlka
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - H-R Pan
- Department of Physics, National Taiwan University, Taipei
| | - J Park
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - S Patton
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - Ž Pavlović
- Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
| | - G Pawloski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - J C Peng
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - A Perch
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M M Pfützner
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - D D Phan
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - R K Plunkett
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - N Poonthottathil
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - C S J Pun
- Department of Physics, The University of Hong Kong, Pokfulam, Hong Kong
| | - F Z Qi
- Institute of High Energy Physics, Beijing
| | - M Qi
- Nanjing University, Nanjing
| | - X Qian
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - X Qiu
- Department of Physics, Stanford University, Stanford, California 94305, USA
| | - A Radovic
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - N Raper
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J Ren
- China Institute of Atomic Energy, Beijing
| | - C Morales Reveco
- Instituto de Física, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - R Rosero
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B Roskovec
- Department of Physics and Astronomy, University of California, Irvine, California 92697, USA
| | - X C Ruan
- China Institute of Atomic Energy, Beijing
| | - P Sail
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | - M C Sanchez
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - J Schneps
- Physics Department, Tufts University, Medford, Massachusetts 02155, USA
| | - A Schreckenberger
- Department of Physics, University of Texas at Austin, Austin, Texas 78712, USA
| | | | - R Sharma
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Sousa
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - H Steiner
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - J L Sun
- China General Nuclear Power Group, Shenzhen
| | - N Tagg
- Otterbein University, Westerville, Ohio 43081, USA
| | - J Thomas
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - M A Thomson
- Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Timmons
- Department of Physics and Astronomy, University of Manchester, Manchester M13 9PL, United Kingdom
| | - T Tmej
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - J Todd
- Department of Physics, University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - S C Tognini
- Instituto de Física, Universidade Federal de Goiás, 74690-900, Goiánia, Goias, Brazil
| | - R Toner
- Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Torretta
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K Treskov
- Joint Institute for Nuclear Research, Dubna, Moscow Region, Russia
| | - W-H Tse
- Chinese University of Hong Kong, Hong Kong
| | - C E Tull
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
| | - P Vahle
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - B Viren
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - V Vorobel
- Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic
| | - C H Wang
- National United University, Miao-Li
| | - J Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - M Wang
- Shandong University, Jinan
| | - N Y Wang
- Beijing Normal University, Beijing
| | - R G Wang
- Institute of High Energy Physics, Beijing
| | - W Wang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
- Department of Physics, College of William & Mary, Williamsburg, Virginia 23187, USA
| | - W Wang
- Nanjing University, Nanjing
| | - X Wang
- College of Electronic Science and Engineering, National University of Defense Technology, Changsha
| | - Y Wang
- Nanjing University, Nanjing
| | - Y F Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Institute of High Energy Physics, Beijing
| | - Z Wang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - Z M Wang
- Institute of High Energy Physics, Beijing
| | - A Weber
- Subdepartment of Particle Physics, University of Oxford, Oxford OX1 3RH, United Kingdom
- Rutherford Appleton Laboratory, Science and Technology Facilities Council, Didcot, OX11 0QX, United Kingdom
| | - H Y Wei
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - L H Wei
- Institute of High Energy Physics, Beijing
| | - L J Wen
- Institute of High Energy Physics, Beijing
| | - K Whisnant
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - C White
- Department of Physics, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | - L H Whitehead
- Department of Physics and Astronomy, University College London, London WC1E 6BT, United Kingdom
| | - S G Wojcicki
- Department of Physics, Stanford University, Stanford, California 94305, USA
| | - H L H Wong
- Lawrence Berkeley National Laboratory, Berkeley, California, 94720 USA
- Department of Physics, University of California, Berkeley, California 94720, USA
| | - S C F Wong
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - E Worcester
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - D R Wu
- Institute of High Energy Physics, Beijing
| | - F L Wu
- Nanjing University, Nanjing
| | - Q Wu
- Shandong University, Jinan
| | - W J Wu
- Institute of High Energy Physics, Beijing
| | - D M Xia
- Chongqing University, Chongqing
| | - Z Q Xie
- Institute of High Energy Physics, Beijing
| | - Z Z Xing
- Institute of High Energy Physics, Beijing
| | - J L Xu
- Institute of High Energy Physics, Beijing
| | - T Xu
- Department of Engineering Physics, Tsinghua University, Beijing
| | - T Xue
- Department of Engineering Physics, Tsinghua University, Beijing
| | - C G Yang
- Institute of High Energy Physics, Beijing
| | - L Yang
- Dongguan University of Technology, Dongguan
| | - Y Z Yang
- Department of Engineering Physics, Tsinghua University, Beijing
| | - H F Yao
- Institute of High Energy Physics, Beijing
| | - M Ye
- Institute of High Energy Physics, Beijing
| | - M Yeh
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - B L Young
- Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 USA
| | - H Z Yu
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Z Y Yu
- Institute of High Energy Physics, Beijing
| | - B B Yue
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - S Zeng
- Institute of High Energy Physics, Beijing
| | - Y Zeng
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - L Zhan
- Institute of High Energy Physics, Beijing
| | - C Zhang
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - F Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - H H Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - J W Zhang
- Institute of High Energy Physics, Beijing
| | - Q M Zhang
- Department of Nuclear Science and Technology, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
| | - X T Zhang
- Institute of High Energy Physics, Beijing
| | - Y M Zhang
- Sun Yat-Sen (Zhongshan) University, Guangzhou
| | - Y X Zhang
- China General Nuclear Power Group, Shenzhen
| | - Y Y Zhang
- Department of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai Laboratory for Particle Physics and Cosmology, Shanghai
| | - Z J Zhang
- Dongguan University of Technology, Dongguan
| | - Z P Zhang
- University of Science and Technology of China, Hefei
| | - Z Y Zhang
- Institute of High Energy Physics, Beijing
| | - J Zhao
- Institute of High Energy Physics, Beijing
| | - L Zhou
- Institute of High Energy Physics, Beijing
| | - H L Zhuang
- Institute of High Energy Physics, Beijing
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