1
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Li H, Fan X, Li K, Zhang C, Jia X. Increased anterior insula connectivity associated with cognitive maintenance in amnestic mild cognitive impairment: a longitudinal study. Brain Imaging Behav 2024:10.1007/s11682-024-00899-2. [PMID: 38782876 DOI: 10.1007/s11682-024-00899-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/16/2024] [Indexed: 05/25/2024]
Abstract
The insula, a crucial hub of the human brain network, can be divided into anterior and posterior regions. Previous studies have reported that different insula subregions play various roles in amnestic mild cognitive impairment (aMCI). However, the longitudinal changes in the functional connectivity (FC) of each insula subregion in aMCI patients over time remain unclear. Twenty aMCI patients and 20 healthy controls (HCs) were recruited and underwent resting-state functional magnetic resonance imaging (fMRI) scans and neuropsychological assessments at baseline and at the 15-month follow-up. FMRI data were preprocessed using SPM 12 and the CONN toolbox. Two-way analysis of covariance was used to compare longitudinal changes in the FC of each insula subregion with covariates including sex, age, education, follow-up interval, volume of gray matter, and global correlation (GCOR). Pearson's correlation was used to evaluate the relationship between insula subregional FC and neuropsychological performance in aMCI patients. In aMCI patients, the right anterior insula exhibited significantly increased FC with the left anterior cingulate cortex, whereas the left posterior insula exhibited decreased FC with the right precuneus compared with HCs. Furthermore, FC between the right anterior insula and left anterior cingulate cortex was significantly correlated with global cognition at follow-up. The current findings revealed different functional alterations in the insula subregions and provided new insights into the neurodegenerative process in aMCI patients.
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Affiliation(s)
- Hui Li
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing, 100020, China
| | - Xiang Fan
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, 518036, China
| | - Kuncheng Li
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, 10053, China
| | - Chen Zhang
- MR Research Collaboration, Siemens Healthineers, Beijing, 100102, China
| | - Xiuqin Jia
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, No. 8, Gongti South Road, Chaoyang District, Beijing, 100020, China.
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2
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Chen J, Bornstein AM. The causal structure and computational value of narratives. Trends Cogn Sci 2024:S1364-6613(24)00082-2. [PMID: 38734531 DOI: 10.1016/j.tics.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 04/03/2024] [Accepted: 04/08/2024] [Indexed: 05/13/2024]
Abstract
Many human behavioral and brain imaging studies have used narratively structured stimuli (e.g., written, audio, or audiovisual stories) to better emulate real-world experience in the laboratory. However, narratives are a special class of real-world experience, largely defined by their causal connections across time. Much contemporary neuroscience research does not consider this key property. We review behavioral and neuroscientific work that speaks to how causal structure shapes comprehension of and memory for narratives. We further draw connections between this work and reinforcement learning, highlighting how narratives help link causes to outcomes in complex environments. By incorporating the plausibility of causal connections between classes of actions and outcomes, reinforcement learning models may become more ecologically valid, while simultaneously elucidating the value of narratives.
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Affiliation(s)
- Janice Chen
- Department of Psychological and Brain Sciences, Johns Hopkins University, Baltimore, MD, USA.
| | - Aaron M Bornstein
- Department of Cognitive Sciences, University of California, Irvine, CA, USA; Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
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3
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Schaefer M, Hrysanidis C, Lundström JN, Arshamian A. Phase-locked breathing does not affect episodic visual recognition memory but does shape its corresponding ERPs. Psychophysiology 2024; 61:e14493. [PMID: 38053412 DOI: 10.1111/psyp.14493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 10/24/2023] [Accepted: 11/17/2023] [Indexed: 12/07/2023]
Abstract
Recent studies have indicated that breathing shapes the underlying oscillatory brain activity critical for episodic memory, potentially impacting memory performance. However, the literature has presented conflicting results, with some studies suggesting that nasal inhalation enhances visual memory performance, while others have failed to observe any significant effects. Furthermore, the specific influence of breathing route (nasal vs. mouth) and the precise phase of the respiratory cycle during which stimuli are presented have remained elusive. To address this, we employed a visual recognition memory (VRM) and electroencephalography paradigm in which stimuli presentation was phase-locked to either inhalation or exhalation onset, using a within-subject design where participants performed the memory task while engaging in separate sessions of nose and mouth breathing. We show that neither breathing route nor breathing phase has a significant impact on VRM performance as measured by d-prime, with the data supporting the null hypothesis. However, we did find an effect of breathing phase on response bias, with participants adopting a more conservative decision criterion during exhalation. Moreover, we found that breathing phase during memory encoding shaped the late parietal effect (LPE) amplitude, while the Frontal Negative Component (FN400) and LPE during recognition were less impacted. While our study demonstrates that breathing does not shape VRM performance, it shows that it influences brain activity, reinforcing the importance of further research to elucidate the extent of respiratory influence on perception, cognition, and behavior.
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Affiliation(s)
- Martin Schaefer
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Caitlin Hrysanidis
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Johan N Lundström
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Monell Chemical Senses Center, Philadelphia, Pennsylvania, USA
| | - Artin Arshamian
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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4
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Falconer I, Varkanitsa M, Kiran S. Resting-state brain network connectivity is an independent predictor of responsiveness to language therapy in chronic post-stroke aphasia. Cortex 2024; 173:296-312. [PMID: 38447266 DOI: 10.1016/j.cortex.2023.11.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 05/11/2023] [Accepted: 11/29/2023] [Indexed: 03/08/2024]
Abstract
Post-stroke aphasia recovery, especially in the chronic phase, is challenging to predict. Functional integrity of the brain and brain network topology have been suggested as biomarkers of language recovery. This study sought to investigate functional connectivity in four predefined brain networks (i.e., language, default mode, dorsal attention, and salience networks), in relation to aphasia severity and response to language therapy. Thirty patients with chronic post-stroke aphasia were recruited and received a treatment targeting word finding. Structural and functional brain scans were acquired at baseline and resting state functional connectivity for each network was calculated. Additionally, graph measures quantifying network properties were calculated for each network. These included global efficiency for all networks and average strength and clustering coefficient for the language network. Linear mixed effects models showed that mean functional connectivity in the default mode, dorsal attention, and salience networks as well as graph measures of all four networks are independent predictors of response to therapy. While greater mean functional connectivity and global efficiency of the dorsal attention and salience networks predicted greater treatment response, greater mean functional connectivity and global efficiency in the default mode network predicted poorer treatment response. Results for the language network were more nuanced with more efficient network configurations (as reflected in graph measures), but not mean functional connectivity, predicting greater treatment response. These findings highlight the prognostic value of resting-state functional connectivity in chronic treatment-induced aphasia recovery.
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Affiliation(s)
- Isaac Falconer
- Center for Brain Recovery, Boston University, Boston, MA, USA.
| | | | - Swathi Kiran
- Center for Brain Recovery, Boston University, Boston, MA, USA
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5
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Barnett AJ, Nguyen M, Spargo J, Yadav R, Cohn-Sheehy BI, Ranganath C. Hippocampal-cortical interactions during event boundaries support retention of complex narrative events. Neuron 2024; 112:319-330.e7. [PMID: 37944517 DOI: 10.1016/j.neuron.2023.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 05/31/2023] [Accepted: 10/08/2023] [Indexed: 11/12/2023]
Abstract
According to most memory theories, encoding involves continuous communication between the hippocampus and neocortex, but recent work has shown that key moments at the end of an event, called event boundaries, may be especially critical for memory formation. We sought to determine how communication between the hippocampus and neocortical regions during the encoding of naturalistic events related to subsequent retrieval of those events and whether this was particularly important at event boundaries. Participants encoded and recalled two cartoon movies during fMRI scanning. Higher functional connectivity between the hippocampus and the posterior medial network (PMN) at an event's offset is related to the subsequent successful recall of that event. Furthermore, hippocampal-PMN offset connectivity also predicted the amount of detail retrieved after a 2-day delay. These data demonstrate that the relationship between memory encoding and hippocampal-neocortical interaction is dynamic and biased toward boundaries.
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Affiliation(s)
| | - Mitchell Nguyen
- University of California, Davis, Center for Neuroscience, Davis, CA, USA
| | - James Spargo
- University of California, Davis, Department of Psychology, Davis, CA, USA
| | - Reesha Yadav
- University of California, Davis, Department of Psychology, Davis, CA, USA
| | | | - Charan Ranganath
- University of California, Davis, Center for Neuroscience, Davis, CA, USA; University of California, Davis, Department of Psychology, Davis, CA, USA
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6
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Koizumi K, Kunii N, Ueda K, Nagata K, Fujitani S, Shimada S, Nakao M. Paving the Way for Memory Enhancement: Development and Examination of a Neurofeedback System Targeting the Medial Temporal Lobe. Biomedicines 2023; 11:2262. [PMID: 37626758 PMCID: PMC10452721 DOI: 10.3390/biomedicines11082262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/01/2023] [Accepted: 08/11/2023] [Indexed: 08/27/2023] Open
Abstract
Neurofeedback (NF) shows promise in enhancing memory, but its application to the medial temporal lobe (MTL) still needs to be studied. Therefore, we aimed to develop an NF system for the memory function of the MTL and examine neural activity changes and memory task score changes through NF training. We created a memory NF system using intracranial electrodes to acquire and visualise the neural activity of the MTL during memory encoding. Twenty trials of a tug-of-war game per session were employed for NF and designed to control neural activity bidirectionally (Up/Down condition). NF training was conducted with three patients with drug-resistant epilepsy, and we observed an increasing difference in NF signal between conditions (Up-Down) as NF training progressed. Similarities and negative correlation tendencies between the transition of neural activity and the transition of memory function were also observed. Our findings demonstrate NF's potential to modulate MTL activity and memory encoding. Future research needs further improvements to the NF system to validate its effects on memory functions. Nonetheless, this study represents a crucial step in understanding NF's application to memory and provides valuable insights into developing more efficient memory enhancement strategies.
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Affiliation(s)
- Koji Koizumi
- Department of Mechanical Engineering, The University of Tokyo, Tokyo 113-8656, Japan; (K.U.); (M.N.)
| | - Naoto Kunii
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-8655, Japan; (N.K.); (K.N.); (S.F.); (S.S.)
| | - Kazutaka Ueda
- Department of Mechanical Engineering, The University of Tokyo, Tokyo 113-8656, Japan; (K.U.); (M.N.)
| | - Keisuke Nagata
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-8655, Japan; (N.K.); (K.N.); (S.F.); (S.S.)
| | - Shigeta Fujitani
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-8655, Japan; (N.K.); (K.N.); (S.F.); (S.S.)
| | - Seijiro Shimada
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-8655, Japan; (N.K.); (K.N.); (S.F.); (S.S.)
| | - Masayuki Nakao
- Department of Mechanical Engineering, The University of Tokyo, Tokyo 113-8656, Japan; (K.U.); (M.N.)
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7
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Tricoche L, Pélisson D, Longo L, Koun E, Poisson A, Prado J, Meunier M. Task-independent neural bases of peer presence effect on cognition in children and adults. Neuroimage 2023; 277:120247. [PMID: 37385049 DOI: 10.1016/j.neuroimage.2023.120247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/19/2023] [Accepted: 06/22/2023] [Indexed: 07/01/2023] Open
Abstract
There is ample behavioral evidence that others' mere presence can affect any behavior in human and non-human animals, generally facilitating the expression of mastered responses while impairing the acquisition of novel ones. Much less is known about i) how the brain orchestrates the modulation of such a wide array of behaviors by others' presence and ii) when these neural underpinnings mature during development. To address these issues, fMRI data were collected in children and adults alternately observed and unobserved by a familiar peer. Subjects performed a numerosity comparison task and a phonological comparison task. While the former involves number-processing brain areas, the latter involves language-processing areas. Consistent with previous behavioral findings, adults' and children's performance improved in both tasks when observed by a peer. Across all participants, task-specific brain regions showed no reliable change in activity under peer observation. Rather, we found task-independent changes in domain-general brain regions typically involved in mentalizing, reward, and attention. Bayesian analyses singled out the attention network as the exception to the close child-adult resemblance of peer observation neural substrates. These findings suggest that i) social facilitation of some human education-related skills is primarily orchestrated by domain-general brain networks, rather than by task-selective substrates, and ii) apart from attention, peer presence neural processing is largely mature in children.
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Affiliation(s)
- Leslie Tricoche
- IMPACT team, Lyon Neuroscience Research Center, INSERM, U1028; CNRS, UMR5292; University Lyon, F-69000, France
| | - Denis Pélisson
- IMPACT team, Lyon Neuroscience Research Center, INSERM, U1028; CNRS, UMR5292; University Lyon, F-69000, France
| | - Léa Longo
- EDUWELL team, Lyon Neuroscience Research Center, INSERM, U1028; CNRS, UMR5292; University Lyon, F-69000, France
| | - Eric Koun
- IMPACT team, Lyon Neuroscience Research Center, INSERM, U1028; CNRS, UMR5292; University Lyon, F-69000, France
| | - Alice Poisson
- Unité des pathologies du sommeil et équipe de recherche AESIO Santé unité de Saint Etienne, Clinique médico chirurgicale mutualiste, Saint Etienne, France
| | - Jérôme Prado
- EDUWELL team, Lyon Neuroscience Research Center, INSERM, U1028; CNRS, UMR5292; University Lyon, F-69000, France.
| | - Martine Meunier
- IMPACT team, Lyon Neuroscience Research Center, INSERM, U1028; CNRS, UMR5292; University Lyon, F-69000, France.
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8
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King S, Mothersill D, Holleran L, Patlola SR, Burke T, McManus R, Kenyon M, McDonald C, Hallahan B, Corvin A, Morris DW, Kelly JP, McKernan DP, Donohoe G. Early life stress, low-grade systemic inflammation and weaker suppression of the default mode network (DMN) during face processing in Schizophrenia. Transl Psychiatry 2023; 13:213. [PMID: 37339948 DOI: 10.1038/s41398-023-02512-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 05/11/2023] [Accepted: 06/05/2023] [Indexed: 06/22/2023] Open
Abstract
Childhood trauma (CT) is associated with lower cognitive and social cognitive function in schizophrenia. Recent evidence suggests that the relationship between CT and cognition is mediated by both low-grade systemic inflammation and reduced connectivity of the default mode network (DMN) during resting state. This study sought to test whether the same pattern of associations was observed for DMN connectivity during task based activity. Fifty-three individuals with schizophrenia (SZ) or schizoaffective disorder (SZA) and one hundred and seventy six healthy participants were recruited from the Immune Response and Social Cognition (iRELATE) project. A panel of pro-inflammatory markers that included IL-6, IL-8, IL-10, tumour necrosis factor-alpha (TNFa), and C-reactive protein (CRP), were measured in plasma using ELISA. DMN connectivity was measured during an fMRI social cognitive face processing task. Patients showed evidence of low grade systemic inflammation and significantly increased connectivity between the left lateral parietal (LLP) cortex-cerebellum and LLP-left angular gyrus compared to healthy participants. Across the entire sample, IL-6 predicted increased connectivity between LLP-cerebellum, LLP-precuneus, and mPFC-bilateral-precentral-gyri and left postcentral gyrus. In turn, and again in the entire sample, IL-6 (but no other inflammatory marker) mediated the relationship between childhood physical neglect and LLP-cerebellum. Physical neglect scores also significantly predicted the positive association between IL-6 and LLP-precuneus connectivity. This is to our knowledge the first study that provides evidence that higher plasma IL-6 mediates the association between higher childhood neglect and increased DMN connectivity during task based activity. Consistent with our hypothesis, exposure to trauma is associated with weaker suppression of the DMN during a face processing task, and this association was mediated via increased inflammatory response. The findings may represent part of the biological mechanism by which CT and cognitive performance are related.
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Affiliation(s)
- Sinead King
- Centre for Neuroimaging, Cognition and Genomics (NICOG), University of Galway, Galway, Ireland
- School of Medicine, University of Galway, Galway, Ireland
- School of Psychology, University of Galway, Galway, Ireland
| | - David Mothersill
- Centre for Neuroimaging, Cognition and Genomics (NICOG), University of Galway, Galway, Ireland
- Department of Psychology, National College of Ireland, School of Business, Dublin, Ireland
| | - Laurena Holleran
- Centre for Neuroimaging, Cognition and Genomics (NICOG), University of Galway, Galway, Ireland
- School of Psychology, University of Galway, Galway, Ireland
| | - Saahithh Redddi Patlola
- Centre for Neuroimaging, Cognition and Genomics (NICOG), University of Galway, Galway, Ireland
- Pharmacology & Therapeutics, University of Galway, Galway, Ireland
| | - Tom Burke
- Centre for Neuroimaging, Cognition and Genomics (NICOG), University of Galway, Galway, Ireland
- School of Psychology, University of Galway, Galway, Ireland
| | - Ross McManus
- Department of Clinical Medicine, Trinity Translational Medicine Institute, Trinity Centre for Health Sciences, St James's Hospital, Dublin, Ireland
| | - Marcus Kenyon
- Department of Clinical Medicine, Trinity Translational Medicine Institute, Trinity Centre for Health Sciences, St James's Hospital, Dublin, Ireland
| | - Colm McDonald
- Centre for Neuroimaging, Cognition and Genomics (NICOG), University of Galway, Galway, Ireland
- School of Medicine, University of Galway, Galway, Ireland
| | - Brian Hallahan
- Centre for Neuroimaging, Cognition and Genomics (NICOG), University of Galway, Galway, Ireland
- School of Medicine, University of Galway, Galway, Ireland
| | - Aiden Corvin
- Department of Psychiatry, Trinity Centre for Health Sciences, Trinity College Dublin, Dublin, Ireland
| | - Derek W Morris
- Centre for Neuroimaging, Cognition and Genomics (NICOG), University of Galway, Galway, Ireland
- School of Biological and Chemical Sciences, University of Galway, Galway, Ireland
| | - John P Kelly
- Centre for Neuroimaging, Cognition and Genomics (NICOG), University of Galway, Galway, Ireland
- Pharmacology & Therapeutics, University of Galway, Galway, Ireland
| | - Declan P McKernan
- Centre for Neuroimaging, Cognition and Genomics (NICOG), University of Galway, Galway, Ireland
- Pharmacology & Therapeutics, University of Galway, Galway, Ireland
| | - Gary Donohoe
- Centre for Neuroimaging, Cognition and Genomics (NICOG), University of Galway, Galway, Ireland.
- School of Psychology, University of Galway, Galway, Ireland.
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9
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Foster BL, Koslov SR, Aponik-Gremillion L, Monko ME, Hayden BY, Heilbronner SR. A tripartite view of the posterior cingulate cortex. Nat Rev Neurosci 2023; 24:173-189. [PMID: 36456807 PMCID: PMC10041987 DOI: 10.1038/s41583-022-00661-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2022] [Indexed: 12/03/2022]
Abstract
The posterior cingulate cortex (PCC) is one of the least understood regions of the cerebral cortex. By contrast, the anterior cingulate cortex has been the subject of intensive investigation in humans and model animal systems, leading to detailed behavioural and computational theoretical accounts of its function. The time is right for similar progress to be made in the PCC given its unique anatomical and physiological properties and demonstrably important contributions to higher cognitive functions and brain diseases. Here, we describe recent progress in understanding the PCC, with a focus on convergent findings across species and techniques that lay a foundation for establishing a formal theoretical account of its functions. Based on this converging evidence, we propose that the broader PCC region contains three major subregions - the dorsal PCC, ventral PCC and retrosplenial cortex - that respectively support the integration of executive, mnemonic and spatial processing systems. This tripartite subregional view reconciles inconsistencies in prior unitary theories of PCC function and offers promising new avenues for progress.
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Affiliation(s)
- Brett L Foster
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Seth R Koslov
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lyndsey Aponik-Gremillion
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.,Department of Health Sciences, Dumke College for Health Professionals, Weber State University, Ogden, UT, USA
| | - Megan E Monko
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
| | - Benjamin Y Hayden
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA.,Center for Magnetic Resonance Research and Center for Neural Engineering, University of Minnesota, Minneapolis, MN, USA
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10
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Fafrowicz M, Ceglarek A, Olszewska J, Sobczak A, Bohaterewicz B, Ostrogorska M, Reuter-Lorenz P, Lewandowska K, Sikora-Wachowicz B, Oginska H, Hubalewska-Mazgaj M, Marek T. Dynamics of working memory process revealed by independent component analysis in an fMRI study. Sci Rep 2023; 13:2900. [PMID: 36808174 PMCID: PMC9938907 DOI: 10.1038/s41598-023-29869-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 02/11/2023] [Indexed: 02/20/2023] Open
Abstract
Human memory is prone to errors in many everyday activities but also when cultivating hobbies such as traveling and/or learning a new language. For instance, while visiting foreign countries, people erroneously recall foreign language words that are meaningless to them. Our research simulated such errors in a modified Deese-Roediger-McDermott paradigm for short-term memory with phonologically related stimuli aimed at uncovering behavioral and neuronal indices of false memory formation with regard to time-of-day, a variable known to influence memory. Fifty-eight participants were tested in a magnetic resonance (MR) scanner twice. The results of an Independent Component Analysis revealed encoding-related activity of the medial visual network preceding correct recognition of positive probes and correct rejection of lure probes. The engagement of this network preceding false alarms was not observed. We also explored if diurnal rhythmicity influences working memory processes. Diurnal differences were seen in the default mode network and the medial visual network with lower deactivation in the evening hours. The GLM results showed greater activation of the right lingual gyrus, part of the visual cortex and the left cerebellum in the evening. The study offers new insight into the mechanisms associated with false memories, suggesting that deficient engagement of the medial visual network during the memorization phase of a task results in short-term memory distortions. The results shed new light on the dynamics of working memory processes by taking into account the effect of time-of-day on memory performance.
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Affiliation(s)
- Magdalena Fafrowicz
- Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Lojasiewicza Street 4, 30-348, Krakow, Poland.
| | - Anna Ceglarek
- Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Lojasiewicza Street 4, 30-348, Krakow, Poland.
| | - Justyna Olszewska
- grid.267474.40000 0001 0674 4543Department of Psychology, University of Wisconsin-Oshkosh, Oshkosh, WI USA
| | - Anna Sobczak
- grid.5522.00000 0001 2162 9631Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Lojasiewicza Street 4, 30-348 Krakow, Poland
| | - Bartosz Bohaterewicz
- grid.433893.60000 0001 2184 0541Department of Psychology of Individual Differences, Psychological Diagnosis and Psychometrics, Faculty of Psychology, SWPS University of Social Sciences and Humanities, Warsaw, Poland
| | - Monika Ostrogorska
- grid.5522.00000 0001 2162 9631Chair of Radiology, Medical College, Jagiellonian University, Krakow, Poland
| | - Patricia Reuter-Lorenz
- grid.214458.e0000000086837370Department of Psychology, University of Michigan, Ann Arbor, MI USA
| | - Koryna Lewandowska
- grid.5522.00000 0001 2162 9631Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Lojasiewicza Street 4, 30-348 Krakow, Poland
| | - Barbara Sikora-Wachowicz
- grid.5522.00000 0001 2162 9631Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Lojasiewicza Street 4, 30-348 Krakow, Poland
| | - Halszka Oginska
- grid.5522.00000 0001 2162 9631Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Lojasiewicza Street 4, 30-348 Krakow, Poland
| | - Magdalena Hubalewska-Mazgaj
- grid.413454.30000 0001 1958 0162Department of Drug Addiction Pharmacology, Maj Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | - Tadeusz Marek
- grid.5522.00000 0001 2162 9631Department of Cognitive Neuroscience and Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Lojasiewicza Street 4, 30-348 Krakow, Poland
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11
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Entorhinal grid-like codes and time-locked network dynamics track others navigating through space. Nat Commun 2023; 14:231. [PMID: 36720865 PMCID: PMC9889810 DOI: 10.1038/s41467-023-35819-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 01/03/2023] [Indexed: 02/01/2023] Open
Abstract
Navigating through crowded, dynamically changing environments requires the ability to keep track of other individuals. Grid cells in the entorhinal cortex are a central component of self-related navigation but whether they also track others' movement is unclear. Here, we propose that entorhinal grid-like codes make an essential contribution to socio-spatial navigation. Sixty human participants underwent functional magnetic resonance imaging (fMRI) while observing and re-tracing different paths of a demonstrator that navigated a virtual reality environment. Results revealed that grid-like codes in the entorhinal cortex tracked the other individual navigating through space. The activity of grid-like codes was time-locked to increases in co-activation and entorhinal-cortical connectivity that included the striatum, the hippocampus, parahippocampal and right posterior parietal cortices. Surprisingly, the grid-related effects during observation were stronger the worse participants performed when subsequently re-tracing the demonstrator's paths. Our findings suggests that network dynamics time-locked to entorhinal grid-cell-related activity might serve to distribute information about the location of others throughout the brain.
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12
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Morrissey ZD, Gao J, Zhan L, Li W, Fortel I, Saido T, Saito T, Bakker A, Mackin S, Ajilore O, Lazarov O, Leow AD. Hippocampal functional connectivity across age in an App knock-in mouse model of Alzheimer's disease. Front Aging Neurosci 2023; 14:1085989. [PMID: 36711209 PMCID: PMC9878347 DOI: 10.3389/fnagi.2022.1085989] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 12/28/2022] [Indexed: 01/15/2023] Open
Abstract
Introduction Alzheimer's disease (AD) is a progressive neurodegenerative disease. The early processes of AD, however, are not fully understood and likely begin years before symptoms manifest. Importantly, disruption of the default mode network, including the hippocampus, has been implicated in AD. Methods To examine the role of functional network connectivity changes in the early stages of AD, we performed resting-state functional magnetic resonance imaging (rs-fMRI) using a mouse model harboring three familial AD mutations (App NL-G-F/NL-G-F knock-in, APPKI) in female mice in early, middle, and late age groups. The interhemispheric and intrahemispheric functional connectivity (FC) of the hippocampus was modeled across age. Results We observed higher interhemispheric functional connectivity (FC) in the hippocampus across age. This was reduced, however, in APPKI mice in later age. Further, we observed loss of hemispheric asymmetry in FC in APPKI mice. Discussion Together, this suggests that there are early changes in hippocampal FC prior to heavy onset of amyloid β plaques, and which may be clinically relevant as an early biomarker of AD.
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Affiliation(s)
- Zachery D. Morrissey
- Graduate Program in Neuroscience, University of Illinois at Chicago, Chicago, IL, United States
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
- Department of Anatomy & Cell Biology, University of Illinois at Chicago, Chicago, IL, United States
| | - Jin Gao
- Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, United States
- Preclinical Imaging Core, University of Illinois at Chicago, Chicago, IL, United States
| | - Liang Zhan
- Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, United States
| | - Weiguo Li
- Preclinical Imaging Core, University of Illinois at Chicago, Chicago, IL, United States
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States
- Department of Radiology, Northwestern University, Chicago, IL, United States
| | - Igor Fortel
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States
| | - Takaomi Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Japan
| | - Takashi Saito
- Department of Neurocognitive Science, Institute of Brain Science, Nagoya City University, Nagoya, Japan
| | - Arnold Bakker
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University, Baltimore, MD, United States
| | - Scott Mackin
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Olusola Ajilore
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Orly Lazarov
- Department of Anatomy & Cell Biology, University of Illinois at Chicago, Chicago, IL, United States
| | - Alex D. Leow
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States
- Department of Computer Science, University of Illinois at Chicago, Chicago, IL, United States
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13
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Canessa N, Basso G, Manera M, Poggi P, Gianelli C. Functional Coherence in Intrinsic Frontal Executive Networks Predicts Cognitive Impairments in Alcohol Use Disorder. Brain Sci 2022; 13:45. [PMID: 36672027 PMCID: PMC9856140 DOI: 10.3390/brainsci13010045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 12/03/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Growing evidence highlights the potential of innovative rehabilitative interventions such as cognitive remediation and neuromodulation, aimed at reducing relapses in Alcohol Use Disorder (AUD). Enhancing their effectiveness requires a thorough description of the neural correlates of cognitive alterations in AUD. Past related attempts, however, were limited by the focus on selected neuro-cognitive variables. We aimed to fill this gap by combining, in 22 AUD patients and 18 controls, an extensive neuro-cognitive evaluation and metrics of intrinsic connectivity as highlighted by resting-state brain activity. We addressed an inherent property of intrinsic activity such as intra-network coherence, the temporal correlation of the slow synchronous fluctuations within resting-state networks, representing an early biomarker of alterations in the functional brain architecture underlying cognitive functioning. AUD patients displayed executive impairments involving working-memory, attention and visuomotor speed, reflecting abnormal coherence of activity and grey matter atrophy within default mode, in addition to the attentional and the executive networks. The stronger relationship between fronto-lateral coherent activity and executive performance in patients than controls highlighted possible compensatory mechanisms counterbalancing the decreased functionality of networks driving the switch from automatic to controlled behavior. These results provide novel insights into AUD patients' cognitive impairments, their neural bases, and possible targets of rehabilitative interventions.
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Affiliation(s)
- Nicola Canessa
- IUSS Cognitive Neuroscience (ICON) Center, Scuola Universitaria Superiore IUSS, 27100 Pavia, Italy
- Istituti Clinici Scientifici Maugeri IRCCS, Cognitive Neuroscience Laboratory of Pavia Institute, 27100 Pavia, Italy
| | - Gianpaolo Basso
- School of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
| | - Marina Manera
- Istituti Clinici Scientifici Maugeri IRCCS, Clinical Psychology Unit of Pavia Institute, 27100 Pavia, Italy
| | - Paolo Poggi
- Istituti Clinici Scientifici Maugeri IRCCS, Radiology Unit of Pavia Institute, 27100 Pavia, Italy
| | - Claudia Gianelli
- IUSS Cognitive Neuroscience (ICON) Center, Scuola Universitaria Superiore IUSS, 27100 Pavia, Italy
- Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy
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14
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Finley AJ, Angus DJ, van Reekum CM, Davidson RJ, Schaefer SM. Periodic and aperiodic contributions to theta-beta ratios across adulthood. Psychophysiology 2022; 59:e14113. [PMID: 35751645 PMCID: PMC9532351 DOI: 10.1111/psyp.14113] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 04/15/2022] [Accepted: 05/04/2022] [Indexed: 12/31/2022]
Abstract
The ratio of fronto-central theta (4-7 Hz) to beta oscillations (13-30 Hz), known as the theta-beta ratio, is negatively correlated with attentional control, reinforcement learning, executive function, and age. Although theta-beta ratios have been found to decrease with age in adolescents and young adults, theta has been found to increase with age in older adults. Moreover, age-related decrease in individual alpha peak frequency and flattening of the 1/f aperiodic component may artifactually inflate the association between theta-beta ratio and age. These factors lead to an incomplete understanding of how theta-beta ratio varies across the lifespan and the extent to which variation is due to a conflation of aperiodic and periodic activity. We conducted a partially preregistered analysis examining the cross-sectional associations between age and resting canonical fronto-central theta-beta ratio, individual alpha peak frequency, and aperiodic component (n = 268; age 36-84, M = 55.8, SD = 11.0). Age was negatively associated with theta-beta ratios, individual peak alpha frequencies, and the aperiodic exponent. The correlation between theta-beta ratios and age remained after controlling for individual peak alpha frequencies, but was nonsignificant when controlling for the aperiodic exponent. Aperiodic exponent fully mediated the relationship between theta-beta ratio and age, although beta remained significantly associated with age after controlling for theta, individual peak alpha, and aperiodic exponent. Results replicate previous observations and show age-related decreases in theta-beta ratios are not due to age-related decrease in individual peak alpha frequencies but primarily explained by flattening of the aperiodic component with age.
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Affiliation(s)
- Anna J. Finley
- Center for Healthy MindsUniversity of WisconsinMadisonWisconsinUSA
| | - Douglas J. Angus
- School of PsychologyBond UniversityGold CoastQueenslandAustralia
| | - Carien M. van Reekum
- School of Psychology and Clinical Language SciencesUniversity of ReadingReadingUK
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15
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Pruitt PJ, Tang L, Hayes JM, Ofen N, Damoiseaux JS. Lifespan differences in background functional connectivity of core cognitive large-scale brain networks. Neurosci Res 2022:S0168-0102(22)00238-3. [PMID: 36122815 PMCID: PMC10088545 DOI: 10.1016/j.neures.2022.09.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 08/31/2022] [Accepted: 09/13/2022] [Indexed: 10/14/2022]
Abstract
Large-scale brain networks undergo functional reorganization over the course of the lifespan, with concurrent implications for cognition. Characterizing network connectivity during a task may provide complementary insight into cognitive development and aging, to that provided by resting-state. We assessed network background connectivity, which refers to connectivity that remains after task effects have been regressed out, during a visual memory-encoding task in a lifespan sample. More specifically we assessed the within- and between-network background connectivity of the default mode, salience, and frontoparietal networks. Within-network background connectivity of salience and frontoparietal networks differed between age groups, with late-life adults showing lower connectivity. We did not find an effect of age group in default mode network background connectivity, contrary to previous findings using resting-state. However, default mode between-network background connectivity with salience and frontoparietal networks was greater in mid-life and late-life adults than in younger age groups. Overall, our findings in a lifespan sample are in line with previous observations of age-related network de-differentiation. However, the lack of age effect in default mode network background connectivity suggests that background connectivity indeed represents a complementary measure to resting-state connectivity, providing a differential glance of network connectivity during a particular state.
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Affiliation(s)
- Patrick J Pruitt
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States.
| | - Lingfei Tang
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States; Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States.
| | - Jessica M Hayes
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States; Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States.
| | - Noa Ofen
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States; Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States.
| | - Jessica S Damoiseaux
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States; Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States.
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16
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Obliviate! Reviewing Neural Fundamentals of Intentional Forgetting from a Meta-Analytic Perspective. Biomedicines 2022; 10:biomedicines10071555. [PMID: 35884860 PMCID: PMC9313188 DOI: 10.3390/biomedicines10071555] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 06/04/2022] [Accepted: 06/16/2022] [Indexed: 11/17/2022] Open
Abstract
Intentional forgetting (IF) is an important adaptive mechanism necessary for correct memory functioning, optimal psychological wellbeing, and appropriate daily performance. Due to its complexity, the neuropsychological processes that give birth to successful intentional forgetting are not yet clearly known. In this study, we used two different meta-analytic algorithms, Activation Likelihood Estimation (ALE) & Latent Dirichlet Allocation (LDA) to quantitatively assess the neural correlates of IF and to evaluate the degree of compatibility between the proposed neurobiological models and the existing brain imaging data. We found that IF involves the interaction of two networks, the main “core regions” consisting of a primarily right-lateralized frontal-parietal circuit that is activated irrespective of the paradigm used and sample characteristics and a second less constrained “supportive network” that involves frontal-hippocampal interactions when IF takes place. Additionally, our results support the validity of the inhibitory or thought suppression hypothesis. The presence of a neural signature of IF that is stable regardless of experimental paradigms is a promising finding that may open new venues for the development of effective clinical interventions.
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17
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Kimura K, Saito N, Nakamura H, Takeda Y. The effect of casein hydrolysate intake on cerebral neural regulation during cognitive tasks in the elderly. Exp Gerontol 2022; 165:111853. [DOI: 10.1016/j.exger.2022.111853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 01/20/2022] [Accepted: 05/23/2022] [Indexed: 11/16/2022]
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18
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Sheng J, Zhang L, Liu C, Liu J, Feng J, Zhou Y, Hu H, Xue G. Higher-dimensional neural representations predict better episodic memory. SCIENCE ADVANCES 2022; 8:eabm3829. [PMID: 35442734 PMCID: PMC9020666 DOI: 10.1126/sciadv.abm3829] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 03/03/2022] [Indexed: 06/14/2023]
Abstract
Episodic memory enables humans to encode and later vividly retrieve information about our rich experiences, yet the neural representations that support this mental capacity are poorly understood. Using a large fMRI dataset (n = 468) of face-name associative memory tasks and principal component analysis to examine neural representational dimensionality (RD), we found that the human brain maintained a high-dimensional representation of faces through hierarchical representation within and beyond the face-selective regions. Critically, greater RD was associated with better subsequent memory performance both within and across participants, and this association was specific to episodic memory but not general cognitive abilities. Furthermore, the frontoparietal activities could suppress the shared low-dimensional fluctuations and reduce the correlations of local neural responses, resulting in greater RD. RD was not associated with the degree of item-specific pattern similarity, and it made complementary contributions to episodic memory. These results provide a mechanistic understanding of the role of RD in supporting accurate episodic memory.
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19
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Mei L, Wang Y, Liu C, Mou J, Yuan Y, Qiu L, Gong Q. Study of Sex Differences in Unmedicated Patients With Major Depressive Disorder by Using Resting State Brain Functional Magnetic Resonance Imaging. Front Neurosci 2022; 16:814410. [PMID: 35431791 PMCID: PMC9008299 DOI: 10.3389/fnins.2022.814410] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 02/07/2022] [Indexed: 11/28/2022] Open
Abstract
Some important clinical characteristics of major depressive disorder (MDD) differ between sexes. We explored abnormal spontaneous neuronal activity in MDD patients using the amplitude of low-frequency fluctuation (ALFF) and its relationship to clinical manifestations in male and female patients, to seek the neural mechanisms underlying sex-related differences in depression. Twenty-five male MDD patients, 36 female MDD patients, and 25 male and 36 female matched healthy controls (HC) were included. The ALFF difference was investigated among four groups, and partial correlation analysis was used to explore a possible clinical relevance. The main effect results of sex difference were located in the bilateral caudate nucleus and posterior cingulate gyrus. Post hoc comparisons found that the male MDD patients showed decreased ALFF in the bilateral caudate nucleus and posterior cingulate gyrus when compared with female MDD patients/female HCs, and female MDD patients showed increased ALFF in the bilateral caudate nucleus and posterior cingulate gyrus when compared with male HCs. The average ALFF of the right caudate nucleus was positively correlated with illness duration in female MDD patients. Our results suggest that the sex-specific abnormal brain activity might be a potential pathomechanism of different symptoms in male and female MDD patients.
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Affiliation(s)
- Lan Mei
- Department of Radiology, The Second People’s Hospital of Yibin, Yibin, China
- Department of Radiology, Southwest Medical University, Luzhou, China
| | - Yuting Wang
- Department of Radiology, The Second People’s Hospital of Yibin, Yibin, China
- Department of Radiology, Southwest Medical University, Luzhou, China
| | - Chunyang Liu
- Department of Radiology, Southwest Medical University, Luzhou, China
| | - Jingping Mou
- Department of Radiology, Southwest Medical University, Luzhou, China
| | - Yizhi Yuan
- Department of Radiology, The Second People’s Hospital of Yibin, Yibin, China
- Department of Radiology, Chengdu Medical College, Chengdu, China
| | - Lihua Qiu
- Department of Radiology, The Second People’s Hospital of Yibin, Yibin, China
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
- *Correspondence: Lihua Qiu,
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
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20
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Wynn SC, Nyhus E. Brain activity patterns underlying memory confidence. Eur J Neurosci 2022; 55:1774-1797. [PMID: 35304774 PMCID: PMC9314063 DOI: 10.1111/ejn.15649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/15/2022] [Accepted: 03/14/2022] [Indexed: 11/26/2022]
Abstract
The primary aim of this review is to examine the brain activity patterns that are related to subjectively perceived memory confidence. We focus on the main brain regions involved in episodic memory: the medial temporal lobe (MTL), prefrontal cortex (PFC), and posterior parietal cortex (PPC), and relate activity in their subregions to memory confidence. How this brain activity in both the encoding and retrieval phase is related to (subsequent) memory confidence ratings will be discussed. Specifically, encoding related activity in MTL regions and ventrolateral PFC mainly shows a positive linear increase with subsequent memory confidence, while dorsolateral and ventromedial PFC activity show mixed patterns. In addition, encoding-related PPC activity seems to only have indirect effects on memory confidence ratings. Activity during retrieval in both the hippocampus and parahippocampal cortex increases with memory confidence, especially during high-confident recognition. Retrieval-related activity in the PFC and PPC show mixed relationships with memory confidence, likely related to post-retrieval monitoring and attentional processes, respectively. In this review, these MTL, PFC, and PPC activity patterns are examined in detail and related to their functional roles in memory processes. This insight into brain activity that underlies memory confidence is important for our understanding of brain-behaviour relations and memory-guided decision making.
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Affiliation(s)
- Syanah C Wynn
- Department of Psychology and Program in Neuroscience, Bowdoin College, Brunswick, ME, United States
| | - Erika Nyhus
- Department of Psychology and Program in Neuroscience, Bowdoin College, Brunswick, ME, United States
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21
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Zhu Q, Wang Y, Zhuo C, Xu Q, Yao Y, Liu Z, Li Y, Sun Z, Wang J, Lv M, Wu Q, Wang D. Classification of Alzheimer’s Disease Based on Abnormal Hippocampal Functional Connectivity and Machine Learning. Front Aging Neurosci 2022; 14:754334. [PMID: 35273489 PMCID: PMC8902140 DOI: 10.3389/fnagi.2022.754334] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 01/12/2022] [Indexed: 01/29/2023] Open
Abstract
Objective Alzheimer’s disease (AD) is a neurodegenerative disease characterized by progressive deterioration of memory and cognition. Mild cognitive impairment (MCI) has been implicated as a prodromal phase of AD. Although abnormal functional connectivity (FC) has been demonstrated in AD and MCI, the clinical differentiation of AD, MCI, and normal aging remains difficult, and the distinction between MCI and normal aging is especially problematic. We hypothesized that FC between the hippocampus and other brain structures is altered in AD and MCI, and that measurement of abnormal FC could have diagnostic utility for the classification of different AD stages. Methods Elderly adults aged 60–85 years were assigned to AD, MCI, or normal control (NC) groups based on clinical criteria. Functional magnetic resonance scanning was completed by 119 subjects. Five dimension reduction/classification methods were applied, using hippocampus-derived FC strengths as input features. Classification performance of the five dimensionality reduction methods was compared between AD, MCI, and NC groups. Results FCs between the hippocampus and left insula, left thalamus, cerebellum, right lingual gyrus, posterior cingulate cortex, and precuneus were significantly reduced in AD and MCI. Support vector machine learning coupled with sparse principal component analysis demonstrated the best discriminative performance, yielding classification accuracies of 82.02% (AD vs. NC), 81.33% (MCI vs. NC), and 81.08% (AD vs. MCI). Conclusion Hippocampus-seed-based FCs were significantly different between AD, MCI, and NC groups. FC assessment combined with widely used machine learning methods can improve AD differential diagnosis, and may be especially useful to distinguish MCI from normal aging.
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Affiliation(s)
- Qixiao Zhu
- School of Information Science and Engineering, Shandong University, Qingdao, China
| | - Yonghui Wang
- Department of Physical Medicine and Rehabilitation, Qilu Hospital of Shandong University, Jinan, China
| | - Chuanjun Zhuo
- Key Laboratory of Real Time Brain Circuits Tracing (RTBNP_Lab), Tianjin Fourth Center Hospital, Tianjin Fourth Hospital Affiliated to Nankai University, Tianjin, China
- Department of Psychiatry, Tianjin Medical University, Tianjin, China
| | - Qunxing Xu
- Department of Health Management Center, Qilu Hospital of Shandong University, Jinan, China
| | - Yuan Yao
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, China
| | - Zhuyun Liu
- Department of Radiology, The Second People’s Hospital of Rizhao City, Rizhao, China
| | - Yi Li
- Department of Neurology, Qilu Hospital of Shangdong University, Jinan, China
| | - Zhao Sun
- Shandong Chenze AI Research Institute Co. Ltd., Jinan, China
| | - Jian Wang
- Shandong Key Laboratory of Brain Function Remodeling, Department of Neurosurgery, Qilu Hospital of Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
| | - Ming Lv
- Department of Clinical Epidemiology, Qilu Hospital of Shandong University, Jinan, China
- Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan, China
| | - Qiang Wu
- School of Information Science and Engineering, Shandong University, Qingdao, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- *Correspondence: Qiang Wu,
| | - Dawei Wang
- Department of Radiology, Qilu Hospital of Shandong University, Jinan, China
- Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan, China
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Dawei Wang,
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22
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Adam LC, Repantis D, Konrad BN, Dresler M, Kühn S. Memory enhancement with stimulants: Differential neural effects of methylphenidate, modafinil, and caffeine. A pilot study. Brain Cogn 2021; 154:105802. [PMID: 34592684 DOI: 10.1016/j.bandc.2021.105802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/19/2021] [Accepted: 09/19/2021] [Indexed: 11/18/2022]
Abstract
Human memory is susceptible to manipulation in many respects. While consolidation is well known to be prone to disruption, there is also growing evidence for the enhancement of memory function. Beside cognitive strategies and mnemonic training, the use of stimulants may improve memory processing in healthy adults. In this single-dose, double-blind, within-subject, randomized, placebo-controlled pilot study, 20 mg methylphenidate (N = 13) or 200 mg modafinil (N = 12) or 200 mg caffeine (N = 14) were administrated to in total 39 healthy participants while performing a declarative memory task. Each participant received only one substance and functional magnetic resonance imaging (fMRI) was used to assess drug-dependent memory effects of the substance for encoding and recognition compared to task-related activation under placebo. While methylphenidate showed some behavioral effect regarding memory recall performance, on the neural level, methylphenidate-dependent deactivations were found in fronto-parietal and temporal regions during recognition of previously learned words. No BOLD alterations were seen during encoding. Caffeine led to deactivations in the precentral gyrus during encoding whereas modafinil did not show any BOLD signal alterations at all. These results should be interpreted with caution since this a pilot study with several limitations, most importantly the small number of participants per group. However, our main finding of task-related deactivations may point to a drug-dependent increase of efficiency in physiological response to memory processing.
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Affiliation(s)
- Lucas C Adam
- Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany
| | - Dimitris Repantis
- Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Psychotherapy, Campus Benjamin Franklin, Berlin, Germany.
| | - Boris N Konrad
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Martin Dresler
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Simone Kühn
- Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany; University Medical Center Hamburg-Eppendorf (UKE), Department of Psychiatry and Psychotherapy, Hamburg, Germany
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23
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Ness HT, Folvik L, Sneve MH, Vidal-Piñeiro D, Raud L, Geier OM, Nyberg L, Walhovd KB, Fjell AM. Reduced Hippocampal-Striatal Interactions during Formation of Durable Episodic Memories in Aging. Cereb Cortex 2021; 32:2358-2372. [PMID: 34581398 PMCID: PMC9157302 DOI: 10.1093/cercor/bhab331] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 08/11/2021] [Accepted: 08/13/2021] [Indexed: 11/24/2022] Open
Abstract
Encoding of durable episodic memories requires cross-talk between the hippocampus and multiple brain regions. Changes in these hippocampal interactions could contribute to age-related declines in the ability to form memories that can be retrieved after extended time intervals. Here we tested whether hippocampal–neocortical– and subcortical functional connectivity (FC) observed during encoding of durable episodic memories differed between younger and older adults. About 48 younger (20–38 years; 25 females) and 43 older (60–80 years; 25 females) adults were scanned with fMRI while performing an associative memory encoding task. Source memory was tested ~20 min and ~6 days postencoding. Associations recalled after 20 min but later forgotten were classified as transient, whereas memories retained after long delays were classified as durable. Results demonstrated that older adults showed a reduced ability to form durable memories and reduced hippocampal–caudate FC during encoding of durable memories. There was also a positive relationship between hippocampal–caudate FC and higher memory performance among the older adults. No reliable age group differences in durable memory–encoding activity or hippocampal–neocortical connectivity were observed. These results support the classic theory of striatal alterations as one cause of cognitive decline in aging and highlight that age-related changes in episodic memory extend beyond hippocampal–neocortical connections.
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Affiliation(s)
- Hedda T Ness
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Line Folvik
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Markus H Sneve
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Didac Vidal-Piñeiro
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Liisa Raud
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway
| | - Oliver M Geier
- Department of Diagnostic Physics, Oslo University Hospital, Oslo 0424, Norway
| | - Lars Nyberg
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway.,Department of Radiation Sciences, Radiology, Umeå University, 901 87 Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, 901 87 Umeå, Sweden.,Umeå Center for Functional Brain Imaging, Umeå University, 901 87 Umeå, Sweden
| | - Kristine B Walhovd
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0372 Oslo, Norway
| | - Anders M Fjell
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo 0373, Norway.,Department of Radiology and Nuclear Medicine, Oslo University Hospital, 0372 Oslo, Norway
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24
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Pruitt PJ, Tang L, Hayes JM, Ofen N, Damoiseaux JS. Age moderation of the association between negative subsequent memory effects and episodic memory performance. AGING BRAIN 2021; 1:100021. [PMID: 36911506 PMCID: PMC9997129 DOI: 10.1016/j.nbas.2021.100021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 08/18/2021] [Accepted: 08/24/2021] [Indexed: 01/24/2023] Open
Abstract
Negative subsequent memory effects in functional MRI studies of memory formation have been linked to individual differences in memory performance, yet the effect of age on this association is currently unclear. To provide insight into the brain systems related to memory across the lifespan, we examined functional neuroimaging data acquired during episodic memory formation and behavioral performance from a memory recognition task in a sample of 109 participants, including three developmental age groups (8-12, 13-17, 18-25 year-olds) and one additional group of older adults (55-85 year-olds). Young adults showed the highest memory performance and strongest negative subsequent memory effects, while older adults showed reduced negative subsequent memory effects relative to young adults. Across the sample, negative subsequent memory effects were associated with better memory performance, and there was a significant interaction between negative subsequent memory effects and memory performance by age group. Posthoc analyses revealed that this moderation effect was driven by a stronger association between negative subsequent memory effects and memory performance in young adults than children, and that neither children nor older adults showed a significant association. These findings suggest that negative subsequent memory effects may differentially support memory performance across a lifespan trajectory characterized by developmental maturation and support further investigation of this effect in aging.
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Affiliation(s)
- Patrick J. Pruitt
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States
| | - Lingfei Tang
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States
- Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States
| | - Jessica M. Hayes
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States
- Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States
| | - Noa Ofen
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States
- Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States
| | - Jessica S. Damoiseaux
- Institute of Gerontology, Wayne State University, 87 E. Ferry St., Detroit, MI 48202, United States
- Department of Psychology, Wayne State University, 5057 Woodward Ave. 7th Floor Suite 7908, Detroit, MI 48201, United States
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25
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Feng G, Ou J, Gan Z, Jia X, Meng D, Wang S, Wong PCM. Neural Fingerprints Underlying Individual Language Learning Profiles. J Neurosci 2021; 41:7372-7387. [PMID: 34301824 PMCID: PMC8412988 DOI: 10.1523/jneurosci.0415-21.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 07/11/2021] [Accepted: 07/14/2021] [Indexed: 11/21/2022] Open
Abstract
Human language learning differs significantly across individuals in the process and ultimate attainment. Although decades of research exploring the neural substrates of language learning have identified distinct and overlapping neural networks subserving learning of different components, the neural mechanisms that drive the large interindividual differences are still far from being understood. Here we examine to what extent the neural dynamics of multiple brain networks in men and women across sessions of training contribute to explaining individual differences in learning multiple linguistic components (i.e., vocabulary, morphology, and phrase and sentence structures) of an artificial language in a 7 d training and imaging paradigm with functional MRI. With machine-learning and predictive modeling, neural activation patterns across training sessions were highly predictive of individual learning success profiles derived from the four components. We identified four neural learning networks (i.e., the Perisylvian, frontoparietal, salience, and default-mode networks) and examined their dynamic contributions to the learning success prediction. Moreover, the robustness of the predictions systematically changes across networks depending on specific training phases and the learning components. We further demonstrate that a subset of network nodes in the inferior frontal, insular, and frontoparietal regions increasingly represent newly acquired language knowledge, while the multivariate connectivity between these representation regions is enhanced during learning for more successful learners. These findings allow us to understand why learners differ and are the first to attribute not only the degree of success but also patterns of language learning across components, to neural fingerprints summarized from multiple neural network dynamics.SIGNIFICANCE STATEMENT Individual differences in learning a language are widely observed not only within the same component of language but also across components. This study demonstrates that the dynamics of multiple brain networks across four imaging sessions of a 7 d artificial language training contribute to individual differences in learning-outcome profiles derived from four language components. With machine-learning predictive modeling, we identified four neural learning networks, including the Perisylvian, frontoparietal, salience, and default-mode networks, that contribute to predicting individual learning-outcome profiles and revealed language-component-general and component-specific prediction patterns across training sessions. These findings provide significant insights in understanding training-dependent neural dynamics underlying individual differences in learning success across language components.
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Affiliation(s)
- Gangyi Feng
- Department of Linguistics and Modern Languages, Chinese University of Hong Kong, Shatin, N.T, Hong Kong SAR, China
- Brain and Mind Institute, Chinese University of Hong Kong, Shatin, N.T, Hong Kong SAR, China
| | - Jinghua Ou
- Department of Linguistics, University of Chicago, Chicago, 60637, Illinois
| | - Zhenzhong Gan
- Department of Linguistics and Modern Languages, Chinese University of Hong Kong, Shatin, N.T, Hong Kong SAR, China
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, 510631, China
| | - Xiaoyan Jia
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, 510631, China
| | - Danting Meng
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, 510631, China
| | - Suiping Wang
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, 510631, China
| | - Patrick C M Wong
- Department of Linguistics and Modern Languages, Chinese University of Hong Kong, Shatin, N.T, Hong Kong SAR, China
- Brain and Mind Institute, Chinese University of Hong Kong, Shatin, N.T, Hong Kong SAR, China
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26
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Hojjati SH, Feiz F, Ozoria S, Razlighi QR. Topographical Overlapping of the Amyloid-β and Tau Pathologies in the Default Mode Network Predicts Alzheimer's Disease with Higher Specificity. J Alzheimers Dis 2021; 83:407-421. [PMID: 34219729 DOI: 10.3233/jad-210419] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND While amyloid-β (Aβ) plaques and tau tangles are the well-recognized pathologies of Alzheimer's disease (AD), they are more often observed in healthy individuals than in AD patients. This discrepancy makes it extremely challenging to utilize these two proteinopathies as reliable biomarkers for the early detection as well as later diagnosis of AD. OBJECTIVE We hypothesize and provide preliminary evidence that topographically overlapping Aβ and tau within the default mode network (DMN) play more critical roles in the underlying pathophysiology of AD than each of the tau and/or Aβ pathologies alone. METHODS We used our newly developed quantification methods and publicly available neuroimaging data from 303 individuals to provide preliminary evidence of our hypothesis. RESULTS We first showed that the probability of observing overlapping Aβ and tau is significantly higher within than outside the DMN. We then showed evidence that using Aβ and tau overlap can increase the reliability of the prediction of healthy individuals converting to mild cognitive impairment (MCI) and to a lesser degree converting from MCI to AD. Finally, we provided evidence that while the initial accumulations of Aβ and tau seems to be started independently in the healthy participants, the accumulations of the two pathologies interact in the MCI and AD groups. CONCLUSION These findings shed some light on the complex pathophysiology of AD and suggest that overlapping Aβ and tau pathologies within the DMN might be a more reliable biomarker of AD for early detection and later diagnosis of the disease.
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Affiliation(s)
- Seyed Hani Hojjati
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Farnia Feiz
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Sindy Ozoria
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - Qolamreza R Razlighi
- Quantitative Neuroimaging Laboratory, Brain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA
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27
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Tok S, Ahnaou A, Drinkenburg W. Functional Neurophysiological Biomarkers of Early-Stage Alzheimer's Disease: A Perspective of Network Hyperexcitability in Disease Progression. J Alzheimers Dis 2021; 88:809-836. [PMID: 34420957 PMCID: PMC9484128 DOI: 10.3233/jad-210397] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Network hyperexcitability (NH) has recently been suggested as a potential neurophysiological indicator of Alzheimer’s disease (AD), as new, more accurate biomarkers of AD are sought. NH has generated interest as a potential indicator of certain stages in the disease trajectory and even as a disease mechanism by which network dysfunction could be modulated. NH has been demonstrated in several animal models of AD pathology and multiple lines of evidence point to the existence of NH in patients with AD, strongly supporting the physiological and clinical relevance of this readout. Several hypotheses have been put forward to explain the prevalence of NH in animal models through neurophysiological, biochemical, and imaging techniques. However, some of these hypotheses have been built on animal models with limitations and caveats that may have derived NH through other mechanisms or mechanisms without translational validity to sporadic AD patients, potentially leading to an erroneous conclusion of the underlying cause of NH occurring in patients with AD. In this review, we discuss the substantiation for NH in animal models of AD pathology and in human patients, as well as some of the hypotheses considering recently developed animal models that challenge existing hypotheses and mechanisms of NH. In addition, we provide a preclinical perspective on how the development of animal models incorporating AD-specific NH could provide physiologically relevant translational experimental data that may potentially aid the discovery and development of novel therapies for AD.
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Affiliation(s)
- Sean Tok
- Department of Neuroscience, Janssen Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium.,Groningen Institute for Evolutionary Life Sciences, Faculty of Science and Engineering, University of Groningen, The Netherlands
| | - Abdallah Ahnaou
- Department of Neuroscience, Janssen Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium
| | - Wilhelmus Drinkenburg
- Department of Neuroscience, Janssen Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium.,Groningen Institute for Evolutionary Life Sciences, Faculty of Science and Engineering, University of Groningen, The Netherlands
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28
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Maniar YM, Peck KK, Jenabi M, Gene M, Holodny AI. Functional MRI Shows Altered Deactivation and a Corresponding Decrease in Functional Connectivity of the Default Mode Network in Patients with Gliomas. AJNR Am J Neuroradiol 2021; 42:1505-1512. [PMID: 33985945 DOI: 10.3174/ajnr.a7138] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 02/19/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND PURPOSE The default mode network normally decreases in activity during externally directed tasks. Although default mode network connectivity is disrupted in numerous brain pathologies, default mode network deactivation has not been studied in patients with brain tumors. We investigated default mode network deactivation with language task-based fMRI by measuring the anticorrelation of a critical default mode network node, the posterior cingulate cortex, in patients with gliomas and controls; furthermore, we examined default mode network functional connectivity in these patients with task-based and resting-state fMRI. MATERIALS AND METHODS In 10 healthy controls and 30 patients with gliomas, the posterior cingulate cortex was identified on task-based fMRI and was used as an ROI to create connectivity maps from task-based and resting-state fMRI data. We compared the average correlation in each default mode network region between patients and controls for each correlation map and stratified patients by tumor location, hemisphere, and grade. RESULTS Patients with gliomas (P = .001) and, in particular, patients with tumors near the posterior default mode network (P < .001) showed less posterior cingulate cortex anticorrelation in task-based fMRI than controls. Patients with both left- and right-hemisphere tumors, as well as those with grade IV tumors, showed significantly lower posterior cingulate cortex anticorrelation than controls (P = .02, .03, and <.001, respectively). Functional connectivity in each default mode network region was not significantly different between task-based and resting-state maps. CONCLUSIONS Task-based fMRI showed impaired deactivation of the default mode network in patients with gliomas. The functional connectivity of the default mode network in both task-based and resting-state fMRI in patients with gliomas using the posterior cingulate cortex identified in task-based fMRI as an ROI for seed-based correlation analysis has strong overlap.
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Affiliation(s)
- Y M Maniar
- From the Department of Radiology (Y.M.M., K.K.P., M.J., M.G., A.I.H.), Memorial Sloan Kettering Cancer Center, New York, New York
| | - K K Peck
- From the Department of Radiology (Y.M.M., K.K.P., M.J., M.G., A.I.H.), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medical Physics (K.K.P.), Memorial Sloan Kettering Cancer Center, New York, New York
| | - M Jenabi
- From the Department of Radiology (Y.M.M., K.K.P., M.J., M.G., A.I.H.), Memorial Sloan Kettering Cancer Center, New York, New York
| | - M Gene
- From the Department of Radiology (Y.M.M., K.K.P., M.J., M.G., A.I.H.), Memorial Sloan Kettering Cancer Center, New York, New York
| | - A I Holodny
- From the Department of Radiology (Y.M.M., K.K.P., M.J., M.G., A.I.H.), Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Radiology (A.I.H.), Weill Medical College of Cornell University, New York, New York
- Department of Neuroscience (A.I.H.), Weill-Cornell Graduate School of the Medical Sciences, New York, New York
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29
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Nolden S, Brod G, Meyer AK, Fandakova Y, Shing YL. Neural Correlates of Successful Memory Encoding in Kindergarten and Early Elementary School Children: Longitudinal Trends and Effects of Schooling. Cereb Cortex 2021; 31:3764-3779. [PMID: 33895801 DOI: 10.1093/cercor/bhab046] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 01/28/2021] [Accepted: 01/31/2021] [Indexed: 11/13/2022] Open
Abstract
From age 5 to 7, there are remarkable improvements in children's cognitive abilities ("5-7 shift"). In many countries, including Germany, formal schooling begins in this age range. It is, thus, unclear to what extent exposure to formal schooling contributes to the "5-7 shift." In this longitudinal study, we investigated if schooling acts as a catalyst of maturation. We tested 5-year-old children who were born close to the official cutoff date for school entry and who were still attending a play-oriented kindergarten. One year later, the children were tested again. Some of the children had experienced their first year of schooling whereas the others had remained in kindergarten. Using 2 functional magnetic resonance imaging tasks that assessed episodic memory formation (i.e., subsequent memory effect), we found that children relied strongly on the medial temporal lobe (MTL) at both time points but not on the prefrontal cortex (PFC). In contrast, older children and adults typically show subsequent memory effects in both MTL and PFC. Both children groups improved in their memory performance, but there were no longitudinal changes nor group differences in neural activation. We conclude that successful memory formation in this age group relies more heavily on the MTL than in older age groups.
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Affiliation(s)
- Sophie Nolden
- Institute of Psychology, Goethe-University Frankfurt am Main, D-60323 Frankfurt am Main, Germany
| | - Garvin Brod
- Institute of Psychology, Goethe-University Frankfurt am Main, D-60323 Frankfurt am Main, Germany.,Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Department of Education and Human Development, DIPF
- Leibniz Institute for Research and Information in Education, D-60323 Frankfurt am Main, Germany
| | - Ann-Kristin Meyer
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Research Group Adaptive Memory, Max Planck Institute for Human Cognitive and Brain Sciences, D-04303 Leipzig, Germany
| | - Yana Fandakova
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany
| | - Yee Lee Shing
- Institute of Psychology, Goethe-University Frankfurt am Main, D-60323 Frankfurt am Main, Germany.,Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany
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30
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Cohen N, Ben-Yakov A, Weber J, Edelson MG, Paz R, Dudai Y. Prestimulus Activity in the Cingulo-Opercular Network Predicts Memory for Naturalistic Episodic Experience. Cereb Cortex 2021; 30:1902-1913. [PMID: 31740917 DOI: 10.1093/cercor/bhz212] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 08/19/2019] [Accepted: 08/21/2019] [Indexed: 11/13/2022] Open
Abstract
Human memory is strongly influenced by brain states occurring before an event, yet we know little about the underlying mechanisms. We found that activity in the cingulo-opercular network (including bilateral anterior insula [aI] and anterior prefrontal cortex [aPFC]) seconds before an event begins can predict whether this event will subsequently be remembered. We then tested how activity in the cingulo-opercular network shapes memory performance. Our findings indicate that prestimulus cingulo-opercular activity affects memory performance by opposingly modulating subsequent activity in two sets of regions previously linked to encoding and retrieval of episodic information. Specifically, higher prestimulus cingulo-opercular activity was associated with a subsequent increase in activity in temporal regions previously linked to encoding and with a subsequent reduction in activity within a set of regions thought to play a role in retrieval and self-referential processing. Together, these findings suggest that prestimulus attentional states modulate memory for real-life events by enhancing encoding and possibly by dampening interference from competing memory substrates.
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Affiliation(s)
- Noga Cohen
- Department of Special Education and The Edmond J. Safra Brain Research Center for the Study of Learning Disabilities, University of Haifa, Haifa 3498838, Israel
| | - Aya Ben-Yakov
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 2EF, UK
| | - Jochen Weber
- Department of Psychology, Columbia University, New York, NY, 10027, USA
| | - Micah G Edelson
- Department of Economics, University of Zurich, Zürich, CH-8032, Switzerland
| | - Rony Paz
- Department of Neurobiology, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Yadin Dudai
- Department of Neurobiology, Weizmann Institute of Science, Rehovot, 76100, Israel
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31
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Advances in functional and diffusion neuroimaging research into the long-term consequences of very preterm birth. J Perinatol 2021; 41:689-706. [PMID: 33099576 DOI: 10.1038/s41372-020-00865-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 09/21/2020] [Accepted: 10/12/2020] [Indexed: 11/08/2022]
Abstract
Very preterm birth (<32 weeks of gestation) has been associated with lifelong difficulties in a variety of neurocognitive functions. Magnetic resonance imaging (MRI) combined with advanced analytical approaches have been employed in order to increase our understanding of the neurodevelopmental problems that many very preterm born individuals face as they grow up. In this review, we will focus on two novel imaging techniques that have explored relationships between specific brain mechanisms and behavioural outcomes. These are functional MRI, which maps regional, time-varying changes in brain metabolism and diffusion-weighted MRI, which measures the displacement of water molecules in tissue and provides quantitative information about tissue microstructure. Identifying the neurobiological underpinning of the long-term sequelae associated with very preterm birth could inform the development and implementation of preventative interventions (before any cognitive problem emerges) and could facilitate the identification of behavioural targets for improving the life course outcomes of very preterm individuals.
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32
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Mikos A, Malagurski B, Liem F, Mérillat S, Jäncke L. Object-Location Memory Training in Older Adults Leads to Greater Deactivation of the Dorsal Default Mode Network. Front Hum Neurosci 2021; 15:623766. [PMID: 33716693 PMCID: PMC7952529 DOI: 10.3389/fnhum.2021.623766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 01/20/2021] [Indexed: 12/02/2022] Open
Abstract
Substantial evidence indicates that cognitive training can be efficacious for older adults, but findings regarding training-related brain plasticity have been mixed and vary depending on the imaging modality. Recent years have seen a growth in recognition of the importance of large-scale brain networks on cognition. In particular, task-induced deactivation within the default mode network (DMN) is thought to facilitate externally directed cognition, while aging-related decrements in this neural process are related to reduced cognitive performance. It is not yet clear whether task-induced deactivation within the DMN can be enhanced by cognitive training in the elderly. We previously reported durable cognitive improvements in a sample of healthy older adults (age range = 60-75) who completed 6 weeks of process-based object-location memory training (N = 36) compared to an active control training group (N = 31). The primary aim of the current study is to evaluate whether these cognitive gains are accompanied by training-related changes in task-related DMN deactivation. Given the evidence for heterogeneity of the DMN, we examine task-related activation/deactivation within two separate DMN branches, a ventral branch related to episodic memory and a dorsal branch more closely resembling the canonical DMN. Participants underwent functional magnetic resonance imaging (fMRI) while performing an untrained object-location memory task at four time points before, during, and after the training period. Task-induced (de)activation values were extracted for the ventral and dorsal DMN branches at each time point. Relative to visual fixation baseline: (i) the dorsal DMN was deactivated during the scanner task, while the ventral DMN was activated; (ii) the object-location memory training group exhibited an increase in dorsal DMN deactivation relative to the active control group over the course of training and follow-up; (iii) changes in dorsal DMN deactivation did not correlate with task improvement. These results indicate a training-related enhancement of task-induced deactivation of the dorsal DMN, although the specificity of this improvement to the cognitive task performed in the scanner is not clear.
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Affiliation(s)
- Ania Mikos
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
| | - Brigitta Malagurski
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
| | - Franziskus Liem
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
| | - Susan Mérillat
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
| | - Lutz Jäncke
- University Research Priority Program “Dynamics of Healthy Aging”, University of Zurich, Zurich, Switzerland
- Division of Neuropsychology, Institute of Psychology, University of Zurich, Zurich, Switzerland
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33
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Morita T, Asada M, Naito E. Examination of the development and aging of brain deactivation using a unimanual motor task. Adv Robot 2021. [DOI: 10.1080/01691864.2021.1886168] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Tomoyo Morita
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka, Japan
| | - Minoru Asada
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka, Japan
| | - Eiichi Naito
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka, Japan
- Graduate School of Frontier Biosciences, Osaka University, Suita, Japan
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34
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Boenniger MM, Diers K, Herholz SC, Shahid M, Stöcker T, Breteler MMB, Huijbers W. A Functional MRI Paradigm for Efficient Mapping of Memory Encoding Across Sensory Conditions. Front Hum Neurosci 2021; 14:591721. [PMID: 33551773 PMCID: PMC7859438 DOI: 10.3389/fnhum.2020.591721] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 12/02/2020] [Indexed: 11/13/2022] Open
Abstract
We introduce a new and time-efficient memory-encoding paradigm for functional magnetic resonance imaging (fMRI). This paradigm is optimized for mapping multiple contrasts using a mixed design, using auditory (environmental/vocal) and visual (scene/face) stimuli. We demonstrate that the paradigm evokes robust neuronal activity in typical sensory and memory networks. We were able to detect auditory and visual sensory-specific encoding activities in auditory and visual cortices. Also, we detected stimulus-selective activation in environmental-, voice-, scene-, and face-selective brain regions (parahippocampal place and fusiform face area). A subsequent recognition task allowed the detection of sensory-specific encoding success activity (ESA) in both auditory and visual cortices, as well as sensory-unspecific positive ESA in the hippocampus. Further, sensory-unspecific negative ESA was observed in the precuneus. Among others, the parallel mixed design enabled sustained and transient activity comparison in contrast to rest blocks. Sustained and transient activations showed great overlap in most sensory brain regions, whereas several regions, typically associated with the default-mode network, showed transient rather than sustained deactivation. We also show that the use of a parallel mixed model had relatively little influence on positive or negative ESA. Together, these results demonstrate a feasible, versatile, and brief memory-encoding task, which includes multiple sensory stimuli to guarantee a comprehensive measurement. This task is especially suitable for large-scale clinical or population studies, which aim to test task-evoked sensory-specific and sensory-unspecific memory-encoding performance as well as broad sensory activity across the life span within a very limited time frame.
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Affiliation(s)
- Meta M. Boenniger
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Kersten Diers
- Image Analysis Group, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Sibylle C. Herholz
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Mohammad Shahid
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Tony Stöcker
- MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Monique M. B. Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Willem Huijbers
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
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35
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Kim D, Jeong W, Kim JS, Chung CK. Single-Trial EEG Connectivity of Default Mode Network Before and During Encoding Predicts Subsequent Memory Outcome. Front Syst Neurosci 2020; 14:591675. [PMID: 33328911 PMCID: PMC7710990 DOI: 10.3389/fnsys.2020.591675] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 10/19/2020] [Indexed: 11/13/2022] Open
Abstract
The successful memory process produces specific activity in the brain network. As the brain activity of the prestimulus and encoding phases has a crucial effect on subsequent memory outcomes (e.g., remembered or forgotten), previous studies have tried to predict the memory performance in this period. Conventional studies have used the spectral power or event-related potential of specific regions as the classification feature. However, as multiple brain regions work collaboratively to process memory, it could be a better option to use functional connectivity within the memory-related brain network to predict subsequent memory performance. In this study, we acquired the EEG signals while performing an associative memory task that remembers scene-word pairs. For the connectivity analysis, we estimated the cross-mutual information within the default mode network with the time-frequency spectra at the prestimulus and encoding phases. Then, we predicted the success or failure of subsequent memory outcome with the connectivity features. We found that the classifier with support vector machine achieved the highest classification accuracy of 80.83% ± 12.65% (mean ± standard deviation) using the beta (13-30 Hz) connectivity at encoding phase among the multiple frequency bands and task phases. Using the prestimulus beta connectivity, the classification accuracy of 72.45% ± 12.52% is also achieved. Among the features, the connectivity related to the dorsomedial prefrontal cortex was found to contribute to successful memory encoding. The connectivity related to the posterior cingulate cortex was found to contribute to the failure of memory encoding. The present study showed for the first time the successful prediction with high accuracy of subsequent memory outcome using single-trial functional connectivity.
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Affiliation(s)
- Dahye Kim
- Department of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, South Korea
| | - Woorim Jeong
- College of Sungsim General Education, Youngsan University, Yangsan, South Korea
| | - June Sic Kim
- The Research Institute of Basic Sciences, College of Natural Sciences, Seoul National University, Seoul, South Korea
| | - Chun Kee Chung
- Department of Brain and Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, South Korea.,Department of Neurosurgery, Seoul National University Hospital, Seoul, South Korea.,Neuroscience Research Institute, College of Medicine, Seoul National University, Seoul, South Korea
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Contribution of left supramarginal and angular gyri to episodic memory encoding: An intracranial EEG study. Neuroimage 2020; 225:117514. [PMID: 33137477 DOI: 10.1016/j.neuroimage.2020.117514] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 09/28/2020] [Accepted: 10/24/2020] [Indexed: 11/23/2022] Open
Abstract
The role of the left ventral lateral parietal cortex (VPC) in episodic memory is hypothesized to include bottom-up attentional orienting to recalled items, according to the dual-attention model (Cabeza et al., 2008). However, its role in memory encoding could be further clarified, with studies showing both positive and negative subsequent memory effects (SMEs). Furthermore, few studies have compared the relative contributions of sub-regions in this functionally heterogeneous area, specifically the anterior VPC (supramarginal gyrus/BA40) and the posterior VPC (angular gyrus/BA39), on a within-subject basis. To elucidate the role of the VPC in episodic encoding, we compared SMEs in the intracranial EEG across multiple frequency bands in the supramarginal gyrus (SmG) and angular gyrus (AnG), as twenty-four epilepsy patients with indwelling electrodes performed a free recall task. We found a significant SME of decreased theta power and increased high gamma power in the VPC overall, and specifically in the SmG. Furthermore, SmG exhibited significantly greater spectral tilt SME from 0.5 to 1.6 s post-stimulus, in which power spectra slope differences between recalled and unrecalled words were greater than in the AnG (p = 0.04). These results affirm the contribution of VPC to episodic memory encoding, and suggest an anterior-posterior dissociation within VPC with respect to its electrophysiological underpinnings.
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Geier KT, Buchsbaum BR, Parimoo S, Olsen RK. The role of anterior and medial dorsal thalamus in associative memory encoding and retrieval. Neuropsychologia 2020; 148:107623. [DOI: 10.1016/j.neuropsychologia.2020.107623] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 09/04/2020] [Accepted: 09/06/2020] [Indexed: 02/06/2023]
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Amer T, Giovanello KS, Nichol DR, Hasher L, Grady CL. Neural Correlates of Enhanced Memory for Meaningful Associations with Age. Cereb Cortex 2020; 29:4568-4579. [PMID: 30921462 DOI: 10.1093/cercor/bhy334] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 10/25/2018] [Indexed: 01/08/2023] Open
Abstract
Evidence suggests that age differences in associative memory are attenuated for associations that are consistent with prior knowledge. Such knowledge structures have traditionally been associated with the default network (DN), which also shows reduced modulation with age. In the present study, we investigated whether DN activity and connectivity patterns could account for this age-related effect. Younger and older adults underwent functional magnetic resonance imaging as they learned realistic and unrealistic prices of common grocery items. Both groups showed greater activity in the DN during the encoding of realistic, relative to unrealistic, prices. Moreover, DN activity at encoding and retrieval and its connectivity with an attention control network at encoding were associated with enhanced memory for realistic prices. Finally, older adults showed overactivation of control regions during retrieval of realistic prices relative to younger adults. Our findings suggest that DN activity and connectivity patterns (traditionally viewed as indicators of cognitive failure with age), and additional recruitment of control regions, might underlie older adults' enhanced memory for meaningful associations.
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Affiliation(s)
- Tarek Amer
- Department of Psychology, University of Toronto, Toronto, ON, USA.,Rotman Research Institute, Toronto, ON, USA.,Department of Psychology, Columbia University, New York, NY, USA
| | - Kelly S Giovanello
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Lynn Hasher
- Department of Psychology, University of Toronto, Toronto, ON, USA.,Rotman Research Institute, Toronto, ON, USA
| | - Cheryl L Grady
- Department of Psychology, University of Toronto, Toronto, ON, USA.,Rotman Research Institute, Toronto, ON, USA.,Department of Psychiatry, University of Toronto, Toronto, ON, USA
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Spetter MS, Higgs S, Dolmans D, Thomas JM, Reniers RLEP, Rotshtein P, Rutters F. Neural correlates of top-down guidance of attention to food: An fMRI study. Physiol Behav 2020; 225:113085. [PMID: 32687922 DOI: 10.1016/j.physbeh.2020.113085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 07/01/2020] [Accepted: 07/16/2020] [Indexed: 11/28/2022]
Abstract
We investigated the neural correlates of working memory guided attentional selection of food versus non-food stimuli in young women. Participants were thirty-two women, aged 20.6y (± 0.5) who were presented with a cue (food or non-food item) to hold in working memory. Subsequently, they had to search for a target in a 2-item display where target and distractor stimuli were each flanked by a picture of a food or a non-food item. The behavioural data showed that attention is particularly efficiently drawn to food stimuli when thinking about food. Using fMRI, we found that holding a non-food versus food stimulus in working memory was associated with increased activity in occipital gyrus, fusiform, inferior and superior frontal gyrus. In the posterior cingulum, retrosplenial cortex, a food item that re-appeared in the search array when it was held in memory led to a reduced response, compared to when it did not re-appear. The reverse effect was found for non-food stimuli. The extent of the reappearance effect correlated with the attentional capture of food as measured behaviourally. In conclusion, these results suggest that holding food in mind may bias attention because thinking of food facilitated neuronal responses to sensory input related to food stimuli and because holding food-related information in mind is less taxing on memory.
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Affiliation(s)
- Maartje S Spetter
- School of Psychology, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK
| | - Suzanne Higgs
- School of Psychology, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK
| | - Dirk Dolmans
- School of Psychology, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK
| | - Jason M Thomas
- School of Psychology, Aston University, B4 7ET, Birmingham, UK
| | - Renate L E P Reniers
- Institute of Clinical Sciences, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, United Kingdom and Institute for Mental Health, School of Psychology, University of Birmingham, Edgbaston, Birmingham, UK
| | - Pia Rotshtein
- School of Psychology, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK
| | - Femke Rutters
- School of Psychology, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK; Department of Epidemiology and Biostatistics, Amsterdam Public Health Institute, Amsterdam University Medical Centers, location VU Medical Centre, van der Boechorststraat 7, 1081 BT Amsterdam, Netherlands.
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Breukelaar IA, Erlinger M, Harris A, Boyce P, Hazell P, Grieve SM, Antees C, Foster S, Gomes L, Williams LM, Malhi GS, Korgaonkar MS. Investigating the neural basis of cognitive control dysfunction in mood disorders. Bipolar Disord 2020; 22:286-295. [PMID: 31604366 DOI: 10.1111/bdi.12844] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Dysfunction of cognitive control is a feature of both bipolar disorder (BP) and major depression (MDD) and persists through to remission. However, it is unknown whether these disorders are characterized by common or distinct disruptions of cognitive control function and its neural basis. We investigated this gap in knowledge in asymptomatic BP and MDD participants, interpreted within a framework of normative function. METHODS Participants underwent fMRI scans engaging cognitive control through a working memory task and completed a cognitive battery evaluating performance across multiple subdomains of cognitive control, including attention, impulsivity, processing speed, executive function, and memory. Analysis was performed in two stages: (i) cognitive control-related brain activation and deactivation were correlated with cognitive control performance in 115 healthy controls (HCs), then, (ii) significantly correlated regions from (i) were compared between 25 asymptomatic BP, 25 remitted MDD, and with 25 different HCs, matched for age and gender. RESULTS Impulsivity and executive function performance were significantly worse in BP compared to both MDD and HCs. Both BP and MDD had significantly poorer memory performance compared to HCs. Greater deactivation of the medial prefrontal cortex (MPFC) during the fMRI task was associated with better executive function in healthy controls. Significantly less deactivation in this region was present in both BP and MDD compared to HCs. CONCLUSIONS Failure to deactivate the MPFC, a key region of the default mode network, during working memory processing is a shared neural feature present in both bipolar and major depression and could be a source of common cognitive dysfunction.
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Affiliation(s)
- Isabella A Breukelaar
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia
| | - May Erlinger
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia
| | - Anthony Harris
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia.,Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Philip Boyce
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Philip Hazell
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Stuart M Grieve
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia.,Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre and Sydney Medical School, University of Sydney, Camperdown, NSW, Australia.,Department of Radiology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Cassandra Antees
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia
| | - Sheryl Foster
- Department of Radiology, Westmead Hospital, Westmead, NSW, Australia.,The Discipline of Medical Radiation Sciences, Faculty of Health Science, The University of Sydney, Lidcombe, NSW, Australia
| | - Lavier Gomes
- Department of Radiology, Westmead Hospital, Westmead, NSW, Australia
| | - Leanne M Williams
- Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.,Palo Alto VA, MIRECC, Palo Alto, CA, USA
| | - Gin S Malhi
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.,CADE Clinic, Department of Psychiatry, Royal North Shore Hospital, Saint Leonards, NSW, Australia
| | - Mayuresh S Korgaonkar
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia.,Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
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Duan H, Fernández G, van Dongen E, Kohn N. The effect of intrinsic and extrinsic motivation on memory formation: insight from behavioral and imaging study. Brain Struct Funct 2020; 225:1561-1574. [PMID: 32350643 PMCID: PMC7286947 DOI: 10.1007/s00429-020-02074-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 04/18/2020] [Indexed: 01/20/2023]
Abstract
Motivation can be generated intrinsically or extrinsically, and both kinds of motivation show similar facilitatory effects on memory. However, effects of extrinsic and intrinsic motivation on memory formation have not been studied in combination and thus, it is unknown whether they interact and how such interplay is neurally implemented. In the present study, both extrinsic monetary reward and intrinsic curiosity enhanced memory performance, without evidence for an interaction. Functional magnetic resonance imaging revealed that curiosity-driven activity in the ventral striatal reward network appears to work cooperatively with the fronto-parietal attention network, while enhancing memory formation. In contrast, the monetary reward-modulated subsequent memory effect revealed deactivation in parietal midline regions. Thus, curiosity might enhance memory performance by allocation of attentional resources and reward-related processes; while, monetary reward does so by suppression of task-irrelevant processing.
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Affiliation(s)
- Hongxia Duan
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands.,Center for Brain Disorder and Cognitive Science, Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen, 518060, China
| | - Guillén Fernández
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Eelco van Dongen
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands
| | - Nils Kohn
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands.
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42
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Bauer CCC, Okano K, Gosh SS, Lee YJ, Melero H, de los Angeles C, Nestor PG, del Re EC, Northoff G, Niznikiewicz MA, Whitfield-Gabrieli S. Real-time fMRI neurofeedback reduces auditory hallucinations and modulates resting state connectivity of involved brain regions: Part 2: Default mode network -preliminary evidence. Psychiatry Res 2020; 284:112770. [PMID: 32004893 PMCID: PMC7046150 DOI: 10.1016/j.psychres.2020.112770] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 01/04/2020] [Accepted: 01/05/2020] [Indexed: 01/02/2023]
Abstract
Auditory hallucinations (AHs) are one of the most distressing symptoms of schizophrenia (SZ) and are often resistant to medication. Imaging studies of individuals with SZ show hyperactivation of the default mode network (DMN) and the superior temporal gyrus (STG). Studies in SZ show DMN hyperconnectivity and reduced anticorrelation between DMN and the central executive network (CEN). DMN hyperconnectivity has been associated with positive symptoms such as AHs while reduced DMN anticorrelations with cognitive impairment. Using real-time fMRI neurofeedback (rt-fMRI-NFB) we trained SZ patients to modulate DMN and CEN networks. Meditation is effective in reducing AHs in SZ and to modulate brain network integration and increase DMN anticorrelations. Consequently, patients were provided with meditation strategies to enhance their abilities to modulate DMN/CEN. Results show a reduction of DMN hyperconnectivity and increase in DMNCEN anticorrelation. Furthermore, the change in individual DMN connectivity significantly correlated with reductions in AHs. This is the first time that meditation enhanced through rt-fMRI-NFB is used to reduce AHs in SZ. Moreover, it provides the first empirical evidence for a direct causal relation between meditation enhanced rt-fMRI-NFB modulation of DMNCEN activity and post-intervention modulation of resting state networks ensuing in reductions in frequency and severity of AHs.
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Affiliation(s)
- Clemens C. C. Bauer
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology. Cambridge, MA 02139, USA,Northeastern University, Boston, MA 02139, USA,Please address correspondence to Clemens Bauer, Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, 43 Vassar St. 46-4037C Massachusetts Institute of Technology. Cambridge, MA 02139, USA Telephone: +1 (617) 324 5124,
| | - Kana Okano
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology. Cambridge, MA 02139, USA
| | - Satrajit S. Gosh
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology. Cambridge, MA 02139, USA
| | - Yoon Ji Lee
- Northeastern University, Boston, MA 02139, USA
| | - Helena Melero
- Northeastern University, Boston, MA 02139, USA,Medical Image Analysis Laboratory (LAIMBIO), Rey Juan Carlos University, Madrid, Spain
| | - Carlo de los Angeles
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology. Cambridge, MA 02139, USA
| | - Paul G. Nestor
- Harvard Medical School. Boston, MA 02115, USA,Boston VA Healthcare System. Boston, MA 02130, USA,University of Massachusetts, Boston, Boston MA 02215, USA
| | - Elisabetta C. del Re
- Harvard Medical School. Boston, MA 02115, USA,Boston VA Healthcare System. Boston, MA 02130, USA,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, and Harvard Medical School, Boston, MA, USA
| | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, The Royal’s Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada
| | - Margaret A. Niznikiewicz
- Harvard Medical School. Boston, MA 02115, USA,Boston VA Healthcare System. Boston, MA 02130, USA,Beth Israel Deaconess Medical Center. Boston, MA 02215, USA
| | - Susan Whitfield-Gabrieli
- Department of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology. Cambridge, MA 02139, USA,Northeastern University, Boston, MA 02139, USA
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Foland-Ross LC, Buckingam B, Mauras N, Arbelaez AM, Tamborlane WV, Tsalikian E, Cato A, Tong G, Englert K, Mazaika PK, Reiss AL. Executive task-based brain function in children with type 1 diabetes: An observational study. PLoS Med 2019; 16:e1002979. [PMID: 31815939 PMCID: PMC6901178 DOI: 10.1371/journal.pmed.1002979] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 11/04/2019] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Optimal glycemic control is particularly difficult to achieve in children and adolescents with type 1 diabetes (T1D), yet the influence of dysglycemia on the developing brain remains poorly understood. METHODS AND FINDINGS Using a large multi-site study framework, we investigated activation patterns using functional magnetic resonance imaging (fMRI) in 93 children with T1D (mean age 11.5 ± 1.8 years; 45.2% female) and 57 non-diabetic (control) children (mean age 11.8 ± 1.5 years; 50.9% female) as they performed an executive function paradigm, the go/no-go task. Children underwent scanning and cognitive and clinical assessment at 1 of 5 different sites. Group differences in activation occurring during the contrast of "no-go > go" were examined while controlling for age, sex, and scan site. Results indicated that, despite equivalent task performance between the 2 groups, children with T1D exhibited increased activation in executive control regions (e.g., dorsolateral prefrontal and supramarginal gyri; p = 0.010) and reduced suppression of activation in the posterior node of the default mode network (DMN; p = 0.006). Secondary analyses indicated associations between activation patterns and behavior and clinical disease course. Greater hyperactivation in executive control regions in the T1D group was correlated with improved task performance (as indexed by shorter response times to correct "go" trials; r = -0.36, 95% CI -0.53 to -0.16, p < 0.001) and with better parent-reported measures of executive functioning (r values < -0.29, 95% CIs -0.47 to -0.08, p-values < 0.007). Increased deficits in deactivation of the posterior DMN in the T1D group were correlated with an earlier age of T1D onset (r = -0.22, 95% CI -0.41 to -0.02, p = 0.033). Finally, exploratory analyses indicated that among children with T1D (but not control children), more severe impairments in deactivation of the DMN were associated with greater increases in hyperactivation of executive control regions (T1D: r = 0.284, 95% CI 0.08 to 0.46, p = 0.006; control: r = 0.108, 95% CI -0.16 to 0.36, p = 0.423). A limitation to this study involves glycemic effects on brain function; because blood glucose was not clamped prior to or during scanning, future studies are needed to assess the influence of acute versus chronic dysglycemia on our reported findings. In addition, the mechanisms underlying T1D-associated alterations in activation are unknown. CONCLUSIONS These data indicate that increased recruitment of executive control areas in pediatric T1D may act to offset diabetes-related impairments in the DMN, ultimately facilitating cognitive and behavioral performance levels that are equivalent to that of non-diabetic controls. Future studies that examine whether these patterns change as a function of improved glycemic control are warranted.
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Affiliation(s)
- Lara C. Foland-Ross
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, United States of America
- * E-mail:
| | - Bruce Buckingam
- Division of Pediatric Endocrinology and Diabetes, Stanford University School of Medicine, Stanford, California, United States of America
| | - Nelly Mauras
- Division of Endocrinology, Diabetes and Metabolism, Nemours Children’s Health System, Jacksonville, Florida, United States of America
| | - Ana Maria Arbelaez
- Division of Endocrinology, Washington University, Saint Louis, Missouri, United States of America
| | - William V. Tamborlane
- Division of Endocrinology, Yale University, New Haven, Connecticut, United States of America
| | - Eva Tsalikian
- Division of Endocrinology, University of Iowa, Iowa City, Iowa, United States of America
| | - Allison Cato
- Division of Neurology, Nemours Children’s Health System, Jacksonville, Florida, United States of America
| | - Gabby Tong
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, United States of America
| | - Kimberly Englert
- Division of Endocrinology, Diabetes and Metabolism, Nemours Children’s Health System, Jacksonville, Florida, United States of America
| | - Paul K. Mazaika
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, United States of America
| | - Allan L. Reiss
- Center for Interdisciplinary Brain Sciences Research, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California, United States of America
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, United States of America
- Department of Radiology, Stanford University School of Medicine, Stanford, California, United States of America
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Rashid B, Dev SI, Esterman M, Schwarz NF, Ferland T, Fortenbaugh FC, Milberg WP, McGlinchey RE, Salat DH, Leritz EC. Aberrant patterns of default-mode network functional connectivity associated with metabolic syndrome: A resting-state study. Brain Behav 2019; 9:e01333. [PMID: 31568716 PMCID: PMC6908882 DOI: 10.1002/brb3.1333] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 03/13/2019] [Accepted: 03/29/2019] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Metabolic syndrome (MetS) is a clustering of three or more cardiovascular risk factors (RF), including hypertension, obesity, high cholesterol, or hyperglycemia. MetS and its component RFs are more prevalent in older age, and can be accompanied by alterations in brain structure. Studies have shown altered functional connectivity (FC) in samples with individual RFs as well as in clinical populations that are at higher risk to develop MetS. These studies have indicated that the default mode network (DMN) may be particularly vulnerable, yet little is known about the overall impact of MetS on FC in this network. METHODS In this study, we evaluated the integrity of FC to the DMN in participants with MetS relative to non-MetS individuals. Using a seed-based connectivity analysis approach, resting-state functional MRI (fMRI) data were analyzed, and the FC measures among the DMN seed (isthmus of the cingulate) and rest of the brain voxels were estimated. RESULTS Participants with MetS demonstrated reduced positive connectivity between the DMN seed and left superior frontal regions, and reduced negative connectivity between the DMN seed and left superior parietal, left postcentral, right precentral, right superior temporal and right superior parietal regions, after accounting for age- and sex-effects. CONCLUSIONS Our results suggest that MetS is associated with alterations in FC between the DMN and other regions of the brain. Furthermore, these results indicate that the overall burden of vascular RFs associated with MetS may, in part, contribute to the pathophysiology underlying aberrant FC in the DMN.
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Affiliation(s)
- Barnaly Rashid
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Sheena I Dev
- Harvard Medical School, Boston, Massachusetts.,SDSU/UCSD Joint Doctoral Program in Clinical Psychology, San Diego, California
| | - Michael Esterman
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts
| | - Nicolette F Schwarz
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,McLean Imaging Center, McLean Hospital, Belmont, Massachusetts
| | - Tori Ferland
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Francesca C Fortenbaugh
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - William P Milberg
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Regina E McGlinchey
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - David H Salat
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,The Athinoula A. Martinos Center for Biomedical Imaging, Boston, Massachusetts
| | - Elizabeth C Leritz
- Neuroimaging Research for Veterans Center (NeRVe), Geriatric Research Education and Clinical Center (GRECC), VA Boston Healthcare System, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
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Hill PF, King DR, Lega BC, Rugg MD. Comparison of fMRI correlates of successful episodic memory encoding in temporal lobe epilepsy patients and healthy controls. Neuroimage 2019; 207:116397. [PMID: 31770638 PMCID: PMC7238288 DOI: 10.1016/j.neuroimage.2019.116397] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Revised: 10/23/2019] [Accepted: 11/22/2019] [Indexed: 12/30/2022] Open
Abstract
Intra-cranial electroencephalographic brain recordings (iEEG) provide a powerful tool for investigating the neural processes supporting episodic memory encoding and form the basis of experimental therapies aimed at improving memory dysfunction. However, given the invasiveness of iEEG, investigations are constrained to patients with drug-resistant epilepsy for whom such recordings are clinically indicated. Particularly in the case of temporal lobe epilepsy (TLE), neuropathology and the possibility of functional reorganization are potential constraints on the generalizability of intra-cerebral findings and pose challenges to the development of therapies for memory disorders stemming from other etiologies. Here, samples of TLE (N = 16; all of whom had undergone iEEG) and age-matched healthy control (N = 19) participants underwent fMRI as they studied lists of concrete nouns. fMRI BOLDresponses elicited by the study words were segregated according to subsequent performance on tests of delayed free recall and recognition memory. Subsequent memory effects predictive of both successful recall and recognition memory were evident in several neural regions, most prominently in the left inferior frontal gyrus, and did not demonstrate any group differences. Behaviorally, the groups did not differ in overall recall performance or in the strength of temporal contiguity effects. However, group differences in serial position effects and false alarm rates were evident during the free recall and recognition memory tasks, respectively. Despite these behavioral differences, neuropathology associated with temporal lobe epilepsy was apparently insufficient to give rise to detectable differences in the functional neuroanatomy of episodic memory encoding relative to neurologically healthy controls. The findings provide reassurance that iEEG findings derived from experimental paradigms similar to those employed here generalize to the neurotypical population.
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Affiliation(s)
- Paul F Hill
- Center for Vital Longevity, University of Texas at Dallas, 1600 Viceroy Dr. #800, Dallas, TX, 75235, USA; School of Behavioral and Brain Sciences, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX, 75080, USA.
| | - Danielle R King
- Center for Vital Longevity, University of Texas at Dallas, 1600 Viceroy Dr. #800, Dallas, TX, 75235, USA; School of Behavioral and Brain Sciences, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX, 75080, USA
| | - Bradley C Lega
- Department of Neurosurgery, University of Texas Southwestern Medical Center, 5303 Harry Hines Blvd 6th Floor Suite 108, Dallas, TX, 75390, USA
| | - Michael D Rugg
- Center for Vital Longevity, University of Texas at Dallas, 1600 Viceroy Dr. #800, Dallas, TX, 75235, USA; School of Behavioral and Brain Sciences, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX, 75080, USA; Department of Psychiatry, University of Texas Southwestern Medical Center, 6363 Forest Park Rd 7th Floor Suite 749, Dallas, TX, 75235, USA
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Aguirre N, Costumero V, Marin-Marin L, Escudero J, Belloch V, Parcet MA, Ávila C. Activity in Memory Brain Networks During Encoding Differentiates Mild Cognitive Impairment Converters from Non-Converters. J Alzheimers Dis 2019; 71:1049-1061. [DOI: 10.3233/jad-190421] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Naiara Aguirre
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Castelló de la Plana, Spain
| | - Víctor Costumero
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Castelló de la Plana, Spain
- Center for Brain and Cognition, Pompeu Fabra University, Barcelona, Spain
| | - Lidón Marin-Marin
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Castelló de la Plana, Spain
| | - Joaquín Escudero
- Department of Neurology, General Hospital of Valencia, Valencia, Spain
| | | | - María Antonia Parcet
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Castelló de la Plana, Spain
| | - César Ávila
- Department of Basic and Clinical Psychology and Psychobiology, Jaume I University, Castelló de la Plana, Spain
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Wagner IC, van Buuren M, Fernández G. Thalamo-cortical coupling during encoding and consolidation is linked to durable memory formation. Neuroimage 2019; 197:80-92. [DOI: 10.1016/j.neuroimage.2019.04.055] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 04/19/2019] [Indexed: 01/08/2023] Open
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Stimulation of the Posterior Cingulate Cortex Impairs Episodic Memory Encoding. J Neurosci 2019; 39:7173-7182. [PMID: 31358651 DOI: 10.1523/jneurosci.0698-19.2019] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 05/29/2019] [Accepted: 07/10/2019] [Indexed: 11/21/2022] Open
Abstract
Neuroimaging experiments implicate the posterior cingulate cortex (PCC) in episodic memory processing, making it a potential target for responsive neuromodulation strategies outside of the hippocampal network. However, causal evidence for the role that PCC plays in memory encoding is lacking. In human female and male participants (N = 17) undergoing seizure mapping, we investigated functional properties of the PCC using deep brain stimulation (DBS) and stereotactic electroencephalography. We used a verbal free recall paradigm in which the PCC was stimulated during presentation of half of the study lists, whereas no stimulation was applied during presentation of the remaining lists. We investigated whether stimulation affected memory and modulated hippocampal activity. Results revealed four main findings. First, stimulation during episodic memory encoding impaired subsequent free recall, predominantly for items presented early in the study lists. Second, PCC stimulation increased hippocampal gamma-band power. Third, stimulation-induced hippocampal gamma power predicted the magnitude of memory impairment. Fourth, functional connectivity between the hippocampus and PCC predicted the strength of the stimulation effect on memory. Our findings offer causal evidence implicating the PCC in episodic memory encoding. Importantly, the results indicate that stimulation targeted outside of the temporal lobe can modulate hippocampal activity and impact behavior. Furthermore, measures of connectivity between brain regions within a functional network can be informative in predicting behavioral effects of stimulation. Our findings have significant implications for developing therapies to treat memory disorders and cognitive impairment using DBS.SIGNIFICANCE STATEMENT Cognitive impairment and memory loss are critical public health challenges. Deep brain stimulation (DBS) is a promising tool for developing strategies to ameliorate memory disorders by targeting brain regions involved in mnemonic processing. Using DBS, our study sheds light on the lesser-known role of the posterior cingulate cortex (PCC) in memory encoding. Stimulating the PCC during encoding impairs subsequent recall memory. The degree of impairment is predicted by stimulation-induced hippocampal gamma oscillations and functional connectivity between PCC and hippocampus. Our findings provide the first causal evidence implicating PCC in memory encoding and highlight the PCC as a favorable target for neuromodulation strategies using a priori connectivity measures to predict stimulation effects. This has significant implications for developing therapies for memory diseases.
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Silson EH, Steel A, Kidder A, Gilmore AW, Baker CI. Distinct subdivisions of human medial parietal cortex support recollection of people and places. eLife 2019; 8:47391. [PMID: 31305238 PMCID: PMC6667275 DOI: 10.7554/elife.47391] [Citation(s) in RCA: 56] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 07/13/2019] [Indexed: 12/11/2022] Open
Abstract
Human medial parietal cortex (MPC) is implicated in multiple cognitive processes including memory recall, visual scene processing and navigation, and is a core component of the default mode network. Here, we demonstrate distinct subdivisions of MPC that are selectively recruited during memory recall of either specific people or places. First, distinct regions of MPC exhibited differential functional connectivity with medial and lateral regions of ventral temporal cortex (VTC). Second, these same medial regions showed selective, but negative, responses to the visual presentation of different stimulus categories, with clear preferences for scenes and faces. Finally, and most critically, these regions were differentially recruited during memory recall of either people or places with a strong familiarity advantage. Taken together, these data suggest that the organizing principle defining the medial-lateral axis of VTC is reflected in MPC, but in the context of memory recall.
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Affiliation(s)
- Edward H Silson
- Laboratory of Brain & Cognition, National Institute of Mental Health, Bethesda, United States
| | - Adam Steel
- Laboratory of Brain & Cognition, National Institute of Mental Health, Bethesda, United States.,Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Alexis Kidder
- Laboratory of Brain & Cognition, National Institute of Mental Health, Bethesda, United States
| | - Adrian W Gilmore
- Laboratory of Brain & Cognition, National Institute of Mental Health, Bethesda, United States
| | - Chris I Baker
- Laboratory of Brain & Cognition, National Institute of Mental Health, Bethesda, United States
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Zott B, Busche MA, Sperling RA, Konnerth A. What Happens with the Circuit in Alzheimer's Disease in Mice and Humans? Annu Rev Neurosci 2019; 41:277-297. [PMID: 29986165 DOI: 10.1146/annurev-neuro-080317-061725] [Citation(s) in RCA: 133] [Impact Index Per Article: 26.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
A major mystery of many types of neurological and psychiatric disorders, such as Alzheimer's disease (AD), remains the underlying, disease-specific neuronal damage. Because of the strong interconnectivity of neurons in the brain, neuronal dysfunction necessarily disrupts neuronal circuits. In this article, we review evidence for the disruption of large-scale networks from imaging studies of humans and relate it to studies of cellular dysfunction in mouse models of AD. The emerging picture is that some forms of early network dysfunctions can be explained by excessively increased levels of neuronal activity. The notion of such neuronal hyperactivity receives strong support from in vivo and in vitro cellular imaging and electrophysiological recordings in the mouse, which provide mechanistic insights underlying the change in neuronal excitability. Overall, some key aspects of AD-related neuronal dysfunctions in humans and mice are strikingly similar and support the continuation of such a translational strategy.
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Affiliation(s)
- Benedikt Zott
- Institute of Neuroscience, Technical University of Munich, 80802 Munich, Germany; .,Center for Integrated Protein Sciences, Technical University of Munich, 80802 Munich, Germany.,Munich Cluster for Systems Neurology, Technical University of Munich, 80802 Munich, Germany
| | - Marc Aurel Busche
- MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts 02129, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Reisa A Sperling
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA.,Department of Neurology and Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA.,Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
| | - Arthur Konnerth
- Institute of Neuroscience, Technical University of Munich, 80802 Munich, Germany; .,Center for Integrated Protein Sciences, Technical University of Munich, 80802 Munich, Germany.,Munich Cluster for Systems Neurology, Technical University of Munich, 80802 Munich, Germany
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