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Ragazzi TCC, Shuhama R, da Silva PHR, Corsi-Zuelli F, Loureiro CM, da Roza DL, Leoni RF, Menezes PR, Del-Ben CM. Neurocognition and brain functional connectivity in a non-clinical population-based sample with psychotic experiences. Schizophr Res 2024; 267:156-164. [PMID: 38547718 DOI: 10.1016/j.schres.2024.03.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 01/17/2024] [Accepted: 03/17/2024] [Indexed: 05/21/2024]
Abstract
We characterized the neurocognitive profile of communed-based individuals and unaffected siblings of patients with psychosis from Brazil reporting psychotic experiences (PEs). We also analyzed associations between PEs and the intra and inter-functional connectivity (FC) in the Default Mode Network (DMN), the Fronto-Parietal Network (FPN) and the Salience Network (SN) measured by functional magnetic resonance imaging. The combined sample of communed-based individuals and unaffected siblings of patients with psychosis comprised 417 (neurocognition) and 85 (FC) volunteers who were divided as having low (<75th percentile) and high (≥75th percentile) PEs (positive, negative, and depressive dimensions) assessed by the Community Assessment of Psychic Experiences. The neurocognitive profile and the estimated current brief intellectual quotient (IQ) were assessed using the digit symbol (processing speed), arithmetic (working memory), block design (visual learning) and information (verbal learning) subtests of Wechsler Adult Intelligence Scale-third edition. Logistic regression models were performed for neurocognitive analysis. For neuroimaging, we used the CONN toolbox to assess FC between the specified regions, and ROI-to-ROI analysis. In the combined sample, high PEs (all dimensions) were related to lower processing speed performance. High negative PEs were related to poor visual learning performance and lower IQ, while high depressive PEs were associated with poor working memory performance. Those with high negative PEs presented FPN hypoconnectivity between the right and left lateral prefrontal cortex. There were no associations between PEs and the DMN and SN FC. Brazilian individuals with high PEs showed neurocognitive impairments like those living in wealthier countries. Hypoconnectivity in the FPN in a community sample with high PEs is coherent with the hypothesis of functional dysconnectivity in schizophrenia.
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Affiliation(s)
- Taciana Cristina Carvalho Ragazzi
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil.
| | - Rosana Shuhama
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil.
| | - Pedro Henrique Rodrigues da Silva
- Department of Physics, InBrain Laboratory, Faculty of Philosophy Sciences and Letters of Ribeirão Preto-University of Sao Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-901 Ribeirão Preto, São Paulo, Brazil.
| | - Fabiana Corsi-Zuelli
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil.
| | - Camila Marcelino Loureiro
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil.
| | - Daiane Leite da Roza
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil; Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, SP, Brazil.
| | - Renata Ferranti Leoni
- Department of Physics, InBrain Laboratory, Faculty of Philosophy Sciences and Letters of Ribeirão Preto-University of Sao Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-901 Ribeirão Preto, São Paulo, Brazil.
| | - Paulo Rossi Menezes
- Department of Preventive Medicine, Faculty of Medicine, University of São Paulo, Brazil, Population Mental Health Research Centre, Brazil, 455, Dr. Arnaldo Avenue, Cerqueira César, 01246903 São Paulo, São Paulo, Brazil.
| | - Cristina Marta Del-Ben
- Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, Brazil, 3900, Bandeirantes Avenue, Monte Alegre, 14040-900 Ribeirão Preto, São Paulo, Brazil.
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Hikishima K, Tsurugizawa T, Kasahara K, Hayashi R, Takagi R, Yoshinaka K, Nitta N. Functional ultrasound reveals effects of MRI acoustic noise on brain function. Neuroimage 2023; 281:120382. [PMID: 37734475 DOI: 10.1016/j.neuroimage.2023.120382] [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: 07/27/2023] [Revised: 09/02/2023] [Accepted: 09/18/2023] [Indexed: 09/23/2023] Open
Abstract
Loud acoustic noise from the scanner during functional magnetic resonance imaging (fMRI) can affect functional connectivity (FC) observed in the resting state, but the exact effect of the MRI acoustic noise on resting state FC is not well understood. Functional ultrasound (fUS) is a neuroimaging method that visualizes brain activity based on relative cerebral blood volume (rCBV), a similar neurovascular coupling response to that measured by fMRI, but without the audible acoustic noise. In this study, we investigated the effects of different acoustic noise levels (silent, 80 dB, and 110 dB) on FC by measuring resting state fUS (rsfUS) in awake mice in an environment similar to fMRI measurement. Then, we compared the results to those of resting state fMRI (rsfMRI) conducted using an 11.7 Tesla scanner. RsfUS experiments revealed a significant reduction in FC between the retrosplenial dysgranular and auditory cortexes (0.56 ± 0.07 at silence vs 0.05 ± 0.05 at 110 dB, p=.01) and a significant increase in FC anticorrelation between the infralimbic and motor cortexes (-0.21 ± 0.08 at silence vs -0.47 ± 0.04 at 110 dB, p=.017) as acoustic noise increased from silence to 80 dB and 110 dB, with increased consistency of FC patterns between rsfUS and rsfMRI being found with the louder noise conditions. Event-related auditory stimulation experiments using fUS showed strong positive rCBV changes (16.5% ± 2.9% at 110 dB) in the auditory cortex, and negative rCBV changes (-6.7% ± 0.8% at 110 dB) in the motor cortex, both being constituents of the brain network that was altered by the presence of acoustic noise in the resting state experiments. Anticorrelation between constituent brain regions of the default mode network (such as the infralimbic cortex) and those of task-positive sensorimotor networks (such as the motor cortex) is known to be an important feature of brain network antagonism, and has been studied as a biological marker of brain disfunction and disease. This study suggests that attention should be paid to the acoustic noise level when using rsfMRI to evaluate the anticorrelation between the default mode network and task-positive sensorimotor network.
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Affiliation(s)
- Keigo Hikishima
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-2-1 Namiki, Tsukuba, Ibaraki 305-8564, Japan; Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna-son, Okinwa 904-0495, Japan.
| | - Tomokazu Tsurugizawa
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba 305-8568, Japan
| | - Kazumi Kasahara
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba 305-8568, Japan
| | - Ryusuke Hayashi
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Higashi, Tsukuba 305-8568, Japan
| | - Ryo Takagi
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-2-1 Namiki, Tsukuba, Ibaraki 305-8564, Japan
| | - Kiyoshi Yoshinaka
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-2-1 Namiki, Tsukuba, Ibaraki 305-8564, Japan
| | - Naotaka Nitta
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 1-2-1 Namiki, Tsukuba, Ibaraki 305-8564, Japan
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Hikishima K, Tsurugizawa T, Kasahara K, Takagi R, Yoshinaka K, Nitta N. Brain-wide mapping of resting-state networks in mice using high-frame rate functional ultrasound. Neuroimage 2023; 279:120297. [PMID: 37500027 DOI: 10.1016/j.neuroimage.2023.120297] [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: 04/21/2023] [Revised: 06/21/2023] [Accepted: 07/25/2023] [Indexed: 07/29/2023] Open
Abstract
Functional ultrasound (fUS) imaging is a method for visualizing deep brain activity based on cerebral blood volume changes coupled with neural activity, while functional MRI (fMRI) relies on the blood-oxygenation-level-dependent signal coupled with neural activity. Low-frequency fluctuations (LFF) of fMRI signals during resting-state can be measured by resting-state fMRI (rsfMRI), which allows functional imaging of the whole brain, and the distributions of resting-state network (RSN) can then be estimated from these fluctuations using independent component analysis (ICA). This procedure provides an important method for studying cognitive and psychophysiological diseases affecting specific brain networks. The distributions of RSNs in the brain-wide area has been reported primarily by rsfMRI. RSNs using rsfMRI are generally computed from the time-course of fMRI signals for more than 5 min. However, a recent dynamic functional connectivity study revealed that RSNs are still not perfectly stable even after 10 min. Importantly, fUS has a higher temporal resolution and stronger correlation with neural activity compared with fMRI. Therefore, we hypothesized that fUS applied during the resting-state for a shorter than 5 min would provide similar RSNs compared to fMRI. High temporal resolution rsfUS data were acquired at 10 Hz in awake mice. The quality of the default mode network (DMN), a well-known RSN, was evaluated using signal-noise separation (SNS) applied to different measurement durations of rsfUS. The results showed that the SNS did not change when the measurement duration was increased to more than 210 s. Next, we measured short-duration rsfUS multi-slice measurements in the brain-wide area. The results showed that rsfUS with the short duration succeeded in detecting RSNs distributed in the brain-wide area consistent with RSNs detected by 11.7-T MRI under awake conditions (medial prefrontal cortex and cingulate cortex in the anterior DMN, retrosplenial cortex and visual cortex in the posterior DMN, somatosensory and motor cortexes in the lateral cortical network, thalamus, dorsal hippocampus, and medial cerebellum), confirming the reliability of the RSNs detected by rsfUS. However, bilateral RSNs located in the secondary somatosensory cortex, ventral hippocampus, auditory cortex, and lateral cerebellum extracted from rsfUS were different from the unilateral RSNs extracted from rsfMRI. These findings indicate the potential of rsfUS as a method for analyzing functional brain networks and should encourage future research to elucidate functional brain networks and their relationships with disease model mice.
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Affiliation(s)
- Keigo Hikishima
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan; Okinawa Institute of Science and Technology Graduate University (OIST), Okinawa, Japan.
| | - Tomokazu Tsurugizawa
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
| | - Kazumi Kasahara
- Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
| | - Ryo Takagi
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
| | - Kiyoshi Yoshinaka
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
| | - Naotaka Nitta
- Health and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Japan
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Vaziri Z, Salmon CEG, Ghodratitoostani I, Santos ACD, Hyppolito MA, Delbem ACB, Leite JP. Down-Regulation of Tinnitus Negative Valence via Concurrent HD-tDCS and PEI Technique: A Pilot Study. Brain Sci 2023; 13:brainsci13050826. [PMID: 37239298 DOI: 10.3390/brainsci13050826] [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: 04/05/2023] [Revised: 05/05/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
Around 30% of the general population experience subjective tinnitus, characterized by conscious attended awareness perception of sound without an external source. Clinical distress tinnitus is more than just experiencing a phantom sound, as it can be highly disruptive and debilitating, leading those affected to seek clinical help. Effective tinnitus treatments are crucial for psychological well-being, but our limited understanding of the underlying neural mechanisms and a lack of a universal cure necessitate further treatment development. In light of the neurofunctional tinnitus model predictions and transcranial electrical stimulation, we conducted an open-label, single-arm, pilot study that utilized high-definition transcranial direct current stimulation (HD-tDCS) concurrent with positive emotion induction (PEI) techniques for ten consecutive sessions to down-regulate tinnitus negative valence in patients with clinical distress tinnitus. We acquired resting-state functional magnetic resonance imaging scans of 12 tinnitus patients (7 females, mean age = 51.25 ± 12.90 years) before and after the intervention to examine resting-state functional connectivity (rsFC) alterations in specific seed regions. The results showed reduced rsFC at post-intervention between the attention and emotion processing regions as follows: (1) bilateral amygdala and left superior parietal lobule (SPL), (2) left amygdala and right SPL, (3) bilateral dorsolateral prefrontal cortex (dlPFC) and bilateral pregenual anterior cingulate cortex (pgACC), and (4) left dlPFC and bilateral pgACC (FWE corrected p < 0.05). Furthermore, the post-intervention tinnitus handicap inventory scores were significantly lower than the pre-intervention scores (p < 0.05). We concluded that concurrent HD-tDCS and PEI might be effective in reducing tinnitus negative valence, thus alleviating tinnitus distress.
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Affiliation(s)
- Zahra Vaziri
- Department of Neuroscience and Behavior, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14048-900, Brazil
| | - Carlos E G Salmon
- InBrain Lab, Department of Physics, Faculty of Philosophy, Sciences and Letters, University of São Paulo, Ribeirão Preto 14040-901, Brazil
| | - Iman Ghodratitoostani
- Neurocognitive Engineering Laboratory, Center for Engineering Applied to Health, Institute of Mathematics and Computer Science, University of São Paulo, São Carlos 13566-590, Brazil
| | - Antonio Carlos Dos Santos
- Department of Medical Imaging, Hematology and Clinical Oncology, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14049-900, Brazil
| | - Miguel A Hyppolito
- Department of Ophthalmology, Otorhinolaryngology, Head and Neck Surgery, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14049-900, Brazil
| | - Alexandre C B Delbem
- Neurocognitive Engineering Laboratory, Center for Engineering Applied to Health, Institute of Mathematics and Computer Science, University of São Paulo, São Carlos 13566-590, Brazil
| | - João P Leite
- Department of Neuroscience and Behavior, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14048-900, Brazil
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Ghodratitoostani I, Gonzatto OA, Vaziri Z, Delbem ACB, Makkiabadi B, Datta A, Thomas C, Hyppolito MA, Santos ACD, Louzada F, Leite JP. Dose-Response Transcranial Electrical Stimulation Study Design: A Well-Controlled Adaptive Seamless Bayesian Method to Illuminate Negative Valence Role in Tinnitus Perception. Front Hum Neurosci 2022; 16:811550. [PMID: 35677206 PMCID: PMC9169505 DOI: 10.3389/fnhum.2022.811550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 03/23/2022] [Indexed: 11/30/2022] Open
Abstract
The use of transcranial Electrical Stimulation (tES) in the modulation of cognitive brain functions to improve neuropsychiatric conditions has extensively increased over the decades. tES techniques have also raised new challenges associated with study design, stimulation protocol, functional specificity, and dose-response relationship. In this paper, we addressed challenges through the emerging methodology to investigate the dose-response relationship of High Definition-transcranial Direct Current Stimulation (HD tDCS), identifying the role of negative valence in tinnitus perception. In light of the neurofunctional testable framework and tES application, hypotheses were formulated to measure clinical and surrogate endpoints. We posited that conscious pairing adequately pleasant stimuli with tinnitus perception results in correction of the loudness misperception and would be reinforced by concurrent active HD-tDCS on the left Dorsolateral Prefrontal Cortex (dlPFC). The dose-response relationship between HD-tDCS specificity and the loudness perception is also modeled. We conducted a double-blind, randomized crossover pilot study with six recruited tinnitus patients. Accrued data was utilized to design a well-controlled adaptive seamless Bayesian dose-response study. The sample size (n = 47, for 90% power and 95% confidence) and optimum interims were anticipated for adaptive decision-making about efficacy, safety, and single session dose parameters. Furthermore, preliminary pilot study results were sufficient to show a significant difference (90% power, 99% confidence) within the longitudinally detected self-report tinnitus loudness between before and under positive emotion induction. This study demonstrated a research methodology used to improve emotion regulation in tinnitus patients. In the projected method, positive emotion induction is essential for promoting functional targeting under HD-tDCS anatomical specificity to indicate the efficacy and facilitate the dose-finding process. The continuous updating of prior knowledge about efficacy and dose during the exploratory stage adapts the anticipated dose-response model. Consequently, the effective dose range to make superiority neuromodulation in correcting loudness misperception of tinnitus will be redefined. Highly effective dose adapts the study to a standard randomized trial and transforms it into the confirmatory stage in which active HD-tDCS protocol is compared with a sham trial (placebo-like). Establishing the HD-tDCS intervention protocols relying on this novel method provides reliable evidence for regulatory agencies to approve or reject the efficacy and safety. Furthermore, this paper supports a technical report for designing multimodality data-driven complementary investigations in emotion regulation, including EEG-driven neuro markers, Stroop-driven attention biases, and neuroimaging-driven brain network dynamics.
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Affiliation(s)
- Iman Ghodratitoostani
- Neurocognitive Engineering Laboratory, Center for Engineering Applied to Health, Institute of Mathematics and Computer Science, University of São Paulo, São Carlos, Brazil
- *Correspondence: Iman Ghodratitoostani
| | - Oilson A. Gonzatto
- Institute of Mathematics and Computer Science, University of São Paulo, São Carlos, Brazil
| | - Zahra Vaziri
- Department of Neuroscience and Behavior, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirao Preto, Brazil
| | - Alexandre C. B. Delbem
- Neurocognitive Engineering Laboratory, Center for Engineering Applied to Health, Institute of Mathematics and Computer Science, University of São Paulo, São Carlos, Brazil
| | - Bahador Makkiabadi
- Research Center for Biomedical Technologies and Robotics, Institute for Advanced Medical Technologies, Tehran, Iran
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | | | | | - Miguel A. Hyppolito
- Department of Ophthalmology, Otorhinolaryngology, Head and Neck Surgery, Ribeirão Preto Medical School, University of São Paulo, Ribeirao Preto, Brazil
| | - Antonio C. D. Santos
- Department of Neuroscience and Behavior, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirao Preto, Brazil
| | - Francisco Louzada
- Institute of Mathematics and Computer Science, University of São Paulo, São Carlos, Brazil
| | - João Pereira Leite
- Department of Neuroscience and Behavior, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirao Preto, Brazil
- João Pereira Leite
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Cauzzo S, Singh K, Stauder M, García-Gomar MG, Vanello N, Passino C, Staab J, Indovina I, Bianciardi M. Functional connectome of brainstem nuclei involved in autonomic, limbic, pain and sensory processing in living humans from 7 Tesla resting state fMRI. Neuroimage 2022; 250:118925. [PMID: 35074504 DOI: 10.1016/j.neuroimage.2022.118925] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 11/24/2021] [Accepted: 01/18/2022] [Indexed: 12/13/2022] Open
Abstract
Despite remarkable advances in mapping the functional connectivity of the cortex, the functional connectivity of subcortical regions is understudied in living humans. This is the case for brainstem nuclei that control vital processes, such as autonomic, limbic, nociceptive and sensory functions. This is because of the lack of precise brainstem nuclei localization, of adequate sensitivity and resolution in the deepest brain regions, as well as of optimized processing for the brainstem. To close the gap between the cortex and the brainstem, on 20 healthy subjects, we computed a correlation-based functional connectome of 15 brainstem nuclei involved in autonomic, limbic, nociceptive, and sensory function (superior and inferior colliculi, ventral tegmental area-parabrachial pigmented nucleus complex, microcellular tegmental nucleus-prabigeminal nucleus complex, lateral and medial parabrachial nuclei, vestibular and superior olivary complex, superior and inferior medullary reticular formation, viscerosensory motor nucleus, raphe magnus, pallidus, and obscurus, and parvicellular reticular nucleus - alpha part) with the rest of the brain. Specifically, we exploited 1.1mm isotropic resolution 7 Tesla resting-state fMRI, ad-hoc coregistration and physiological noise correction strategies, and a recently developed probabilistic template of brainstem nuclei. Further, we used 2.5mm isotropic resolution resting-state fMRI data acquired on a 3 Tesla scanner to assess the translatability of our results to conventional datasets. We report highly consistent correlation coefficients across subjects, confirming available literature on autonomic, limbic, nociceptive and sensory pathways, as well as high interconnectivity within the central autonomic network and the vestibular network. Interestingly, our results showed evidence of vestibulo-autonomic interactions in line with previous work. Comparison of 7 Tesla and 3 Tesla findings showed high translatability of results to conventional settings for brainstem-cortical connectivity and good yet weaker translatability for brainstem-brainstem connectivity. The brainstem functional connectome might bring new insight in the understanding of autonomic, limbic, nociceptive and sensory function in health and disease.
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Affiliation(s)
- Simone Cauzzo
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States; Life Sciences Institute, Sant'Anna School of Advanced Studies, Pisa, Italy.
| | - Kavita Singh
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Matthew Stauder
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - María Guadalupe García-Gomar
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Nicola Vanello
- Dipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, Italy
| | - Claudio Passino
- Life Sciences Institute, Sant'Anna School of Advanced Studies, Pisa, Italy; Dipartimento di Ingegneria dell'Informazione, University of Pisa, Pisa, Italy; Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Jeffrey Staab
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States; Department of Otorhinolaryngology - Head and Neck Surgery, Mayo Clinic, Rochester, MN, United States
| | - Iole Indovina
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Italy; Laboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Marta Bianciardi
- Brainstem Imaging Laboratory, Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States; Division of Sleep Medicine, Harvard University, Boston, MA.
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Resting state network connectivity is attenuated by fMRI acoustic noise. Neuroimage 2021; 247:118791. [PMID: 34920084 DOI: 10.1016/j.neuroimage.2021.118791] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 10/21/2021] [Accepted: 12/07/2021] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION During the past decades there has been an increasing interest in tracking brain network fluctuations in health and disease by means of resting state functional magnetic resonance imaging (rs-fMRI). Rs-fMRI however does not provide the ideal environmental setting, as participants are continuously exposed to noise generated by MRI coils during acquisition of Echo Planar Imaging (EPI). We investigated the effect of EPI noise on resting state activity and connectivity using magnetoencephalography (MEG), by reproducing the acoustic characteristics of rs-fMRI environment during the recordings. As compared to fMRI, MEG has little sensitivity to brain activity generated in deep brain structures, but has the advantage to capture both the dynamic of cortical magnetic oscillations with high temporal resolution and the slow magnetic fluctuations highly correlated with BOLD signal. METHODS Thirty healthy subjects were enrolled in a counterbalanced design study including three conditions: a) silent resting state (Silence), b) resting state upon EPI noise (fMRI), and c) resting state upon white noise (White). White noise was employed to test the specificity of fMRI noise effect. The amplitude envelope correlation (AEC) in alpha band measured the connectivity of seven Resting State Networks (RSN) of interest (default mode network, dorsal attention network, language, left and right auditory and left and right sensory-motor). Vigilance dynamic was estimated from power spectral activity. RESULTS fMRI and White acoustic noise consistently reduced connectivity of cortical networks. The effects were widespread, but noise and network specificities were also present. For fMRI noise, decreased connectivity was found in the right auditory and sensory-motor networks. Progressive increase of slow theta-delta activity related to drowsiness was found in all conditions, but was significantly higher for fMRI . Theta-delta significantly and positively correlated with variations of cortical connectivity. DISCUSSION rs-fMRI connectivity is biased by unavoidable environmental factors during scanning, which warrant more careful control and improved experimental designs. MEG is free from acoustic noise and allows a sensitive estimation of resting state connectivity in cortical areas. Although underutilized, MEG could overcome issues related to noise during fMRI, in particular when investigation of motor and auditory networks is needed.
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Cotosck KR, Meltzer JA, Nucci MP, Lukasova K, Mansur LL, Amaro E. Engagement of Language and Domain General Networks during Word Monitoring in a Native and Unknown Language. Brain Sci 2021; 11:brainsci11081063. [PMID: 34439682 PMCID: PMC8393423 DOI: 10.3390/brainsci11081063] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/06/2021] [Accepted: 08/09/2021] [Indexed: 12/27/2022] Open
Abstract
Functional neuroimaging studies have highlighted the roles of three networks in processing language, all of which are typically left-lateralized: a ventral stream involved in semantics, a dorsal stream involved in phonology and speech production, and a more dorsal "multiple demand" network involved in many effortful tasks. As lateralization in all networks may be affected by life factors such as age, literacy, education, and brain pathology, we sought to develop a task paradigm with which to investigate the engagement of these networks, including manipulations to selectively emphasize semantic and phonological processing within a single task performable by almost anyone regardless of literacy status. In young healthy participants, we administered an auditory word monitoring task, in which participants had to note the occurrence of a target word within a continuous story presented in either their native language, Portuguese, or the unknown language, Japanese. Native language task performance activated ventral stream language networks, left lateralized but bilateral in the anterior temporal lobe. Unfamiliar language performance, being more difficult, activated left hemisphere dorsal stream structures and the multiple demand network bilaterally, but predominantly in the right hemisphere. These findings suggest that increased demands on phonological processing to accomplish word monitoring in the absence of semantic support may result in the bilateral recruitment of networks involved in speech perception under more challenging conditions.
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Affiliation(s)
- Kelly R. Cotosck
- FNI–Functional Neuroimaging, LIM 4–Laboratório de Investigação Médica 44 (Laboratory of Medical Investigation 44), Department of Radiology, Universidade de São Paulo, São Paulo 05403-000, Brazil; (M.P.N.); (K.L.); (E.A.J.)
- Correspondence: or ; Tel.: +55-11-95131-2225
| | | | - Mariana P. Nucci
- FNI–Functional Neuroimaging, LIM 4–Laboratório de Investigação Médica 44 (Laboratory of Medical Investigation 44), Department of Radiology, Universidade de São Paulo, São Paulo 05403-000, Brazil; (M.P.N.); (K.L.); (E.A.J.)
| | - Katerina Lukasova
- FNI–Functional Neuroimaging, LIM 4–Laboratório de Investigação Médica 44 (Laboratory of Medical Investigation 44), Department of Radiology, Universidade de São Paulo, São Paulo 05403-000, Brazil; (M.P.N.); (K.L.); (E.A.J.)
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Santo André 09210-580, Brazil
| | | | - Edson Amaro
- FNI–Functional Neuroimaging, LIM 4–Laboratório de Investigação Médica 44 (Laboratory of Medical Investigation 44), Department of Radiology, Universidade de São Paulo, São Paulo 05403-000, Brazil; (M.P.N.); (K.L.); (E.A.J.)
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9
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Dewey RS, Hall DA, Plack CJ, Francis ST. Comparison of continuous sampling with active noise cancelation and sparse sampling for cortical and subcortical auditory functional MRI. Magn Reson Med 2021; 86:2577-2588. [PMID: 34196020 DOI: 10.1002/mrm.28902] [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: 10/26/2020] [Revised: 05/01/2021] [Accepted: 06/04/2021] [Indexed: 11/06/2022]
Abstract
PURPOSE Detecting sound-related activity using functional MRI requires the auditory stimulus to be more salient than the intense background scanner acoustic noise. Various strategies can reduce the impact of scanner acoustic noise, including "sparse" temporal sampling with single/clustered acquisitions providing intervals without any background scanner acoustic noise, or active noise cancelation (ANC) during "continuous" temporal sampling, which generates an acoustic signal that adds destructively to the scanner acoustic noise, substantially reducing the acoustic energy at the participant's eardrum. Furthermore, multiband functional MRI allows multiple slices to be collected simultaneously, thereby reducing scanner acoustic noise in a given sampling period. METHODS Isotropic multiband functional MRI (1.5 mm) with sparse sampling (effective TR = 9000 ms, acquisition duration = 1962 ms) and continuous sampling (TR = 2000 ms) with ANC were compared in 15 normally hearing participants. A sustained broadband noise stimulus was presented to drive activation of both sustained and transient auditory responses within subcortical and cortical auditory regions. RESULTS Robust broadband noise-related activity was detected throughout the auditory pathways. Continuous sampling with ANC was found to give a statistically significant advantage over sparse sampling for the detection of the transient (onset) stimulus responses, particularly in the auditory cortex (P < .001) and inferior colliculus (P < .001), whereas gains provided by sparse over continuous ANC for detecting offset and sustained responses were marginal (p ~ 0.05 in superior olivary complex, inferior colliculus, medial geniculate body, and auditory cortex). CONCLUSIONS Sparse and continuous ANC multiband functional MRI protocols provide differing advantages for observing the transient (onset and offset) and sustained stimulus responses.
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Affiliation(s)
- Rebecca S Dewey
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom.,National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham, United Kingdom.,Hearing Sciences, Division of Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - Deborah A Hall
- National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham, United Kingdom.,Hearing Sciences, Division of Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom.,Heriot-Watt University Malaysia, Putrajaya, Malaysia
| | - Christopher J Plack
- Manchester Centre for Audiology and Deafness, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom.,National Institute for Health Research Manchester Biomedical Research Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom.,Department of Psychology, Lancaster University, Lancaster, United Kingdom
| | - Susan T Francis
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom
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10
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Khan AF, Zhang F, Yuan H, Ding L. Brain-wide functional diffuse optical tomography of resting state networks. J Neural Eng 2021; 18. [PMID: 33946052 DOI: 10.1088/1741-2552/abfdf9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 05/04/2021] [Indexed: 02/07/2023]
Abstract
Objective.Diffuse optical tomography (DOT) has the potential in reconstructing resting state networks (RSNs) in human brains with high spatio-temporal resolutions and multiple contrasts. While several RSNs have been reported and successfully reconstructed using DOT, its full potential in recovering a collective set of distributed brain-wide networks with the number of RSNs close to those reported using functional magnetic resonance imaging (fMRI) has not been demonstrated.Approach.The present study developed a novel brain-wide DOT (BW-DOT) framework that integrates a cap-based whole-head optode placement system with multiple computational approaches, i.e. finite-element modeling, inverse source reconstruction, data-driven pattern recognition, and statistical correlation tomography, to reconstruct RSNs in dual contrasts of oxygenated (HbO) and deoxygenated hemoglobins (HbR).Main results.Our results from the proposed framework revealed a comprehensive set of RSNs and their subnetworks, which collectively cover almost the entire neocortical surface of the human brain, both at the group level and individual participants. The spatial patterns of these DOT RSNs suggest statistically significant similarities to fMRI RSN templates. Our results also reported the networks involving the medial prefrontal cortex and precuneus that had been missed in previous DOT studies. Furthermore, RSNs obtained from HbO and HbR suggest similarity in terms of both the number of RSN types reconstructed and their corresponding spatial patterns, while HbR RSNs show statistically more similarity to fMRI RSN templates and HbO RSNs indicate more bilateral patterns over two hemispheres. In addition, the BW-DOT framework allowed consistent reconstructions of RSNs across individuals and across recording sessions, indicating its high robustness and reproducibility, respectively.Significance.Our present results suggest the feasibility of using the BW-DOT, as a neuroimaging tool, in simultaneously mapping multiple RSNs and its potential values in studying RSNs, particularly in patient populations under diverse conditions and needs, due to its advantages in accessibility over fMRI.
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Affiliation(s)
- Ali F Khan
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America
| | - Fan Zhang
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America
| | - Han Yuan
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America.,Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, OK, United States of America
| | - Lei Ding
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States of America.,Institute for Biomedical Engineering, Science, and Technology, University of Oklahoma, Norman, OK, United States of America
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11
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Dell Ducas K, Senra Filho ACDS, Silva PHR, Secchinato KF, Leoni RF, Santos AC. Functional and structural brain connectivity in congenital deafness. Brain Struct Funct 2021; 226:1323-1333. [PMID: 33740108 DOI: 10.1007/s00429-021-02243-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Accepted: 02/22/2021] [Indexed: 11/24/2022]
Abstract
Several studies have been carried out to verify neural plasticity and the language process in deaf individuals. However, further investigations regarding the intrinsic brain organization on functional and structural neural networks derived from congenital deafness are still an open question. The objective of this study was to investigate the main differences in brain organization manifested in congenitally deaf individuals, concerning the resting-state functional patterns, and white matter structuring. Functional and diffusion magnetic resonance imaging modalities were acquired from 18 congenitally deaf individuals and 18 age-sex-matched hearing controls. Compared to the hearing group, the deaf individuals presented higher functional connectivity among the posterior cingulate cortex node of the default mode network with visual and motor networks, lower functional connectivity between salience networks, language networks, and prominence of functional connectivity changes in the right hemisphere, mostly in the frontoparietal and temporal lobes. In terms of structural connectivity, we found changes mainly in the occipital and parietal lobes, involving both classical sign language support regions as well as concentrated networks for focus activity, attention, and cognitive filtering. Our findings demonstrated that the congenital deaf individuals who learned sign language developed significant brain functional and structural reorganization, which provides prominent support for large-scale brain networks associated with attention decision-making, environmental monitoring based on the movement of objects, and on the motor and visual controls.
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Affiliation(s)
- Karolyne Dell Ducas
- Department of Medical Clinics, FMRP, University of Sao Paulo, Ribeirão Preto, Brazil.
| | - Antonio Carlos da S Senra Filho
- Department of Computing and Mathematics, FFCLRP, University of Sao Paulo, Ribeirão Preto, Brazil.,Department of Physics, FFCLRP, University of São Paulo, Ribeirão Preto, SP, Brazil
| | | | | | | | - Antonio Carlos Santos
- Department of Medical Clinics, FMRP, University of Sao Paulo, Ribeirão Preto, Brazil
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12
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Dai X, Zhang J, Gao L, Yu J, Li Y, Du B, Huang X, Zhang H. Intrinsic dialogues between the two hemispheres in middle-aged male alcoholics: a resting-state functional MRI study. Neuroreport 2021; 32:206-213. [PMID: 33470766 DOI: 10.1097/wnr.0000000000001579] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND The purpose of this study was to investigate the interhemispheric intrinsic connectivity measured by resting-state functional MRI (R-fMRI) in middle-aged male alcoholics. METHODS Thirty male alcoholics (47.33 ± 8.30 years) and 30 healthy males (47.20 ± 6.17 years) were recruited and obtained R-fMRI data. Inter- and intrahemispheric coordination was performed by using voxel-mirrored homotopic connectivity (VMHC) and seed-based functional connectivity analysis. RESULTS We found significantly decreased VMHC in a set of regions in male alcoholics patients, including lateral temporal, inferior frontal gyrus, insular/insulae operculum, precuneus/posterior cingulate gyrus, and pars triangularis (P < 0.05, corrected). Subsequent seed-based functional connectivity analysis demonstrated disrupted functional connectivity between the regions of local homotopic connectivity deficits and other areas of the brain, particularly the areas subserving the default, salience, primary somatomotor, and language systems. CONCLUSIONS Middle-aged male alcoholic subjects demonstrated prominent reductions in inter- and intrahemispheric functional coherence. These abnormal changes may reflect degeneration of system/network integration, particularly the domains subserving default, linguistic processing, and salience integration.
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Affiliation(s)
| | - Jianlong Zhang
- Psychiatry, the Third People's Hospital of Zhongshan, Zhongshan City
| | - Lei Gao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan
| | - Jinming Yu
- Psychiatry, the Third People's Hospital of Zhongshan, Zhongshan City
| | - Yuanchun Li
- Department of Nursing, the Third People's Hospital of Zhongshan, Zhongshan City, China
| | - Baoguo Du
- Psychiatry, the Third People's Hospital of Zhongshan, Zhongshan City
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13
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Individual-fMRI-approaches reveal cerebellum and visual communities to be functionally connected in obsessive compulsive disorder. Sci Rep 2021; 11:1354. [PMID: 33446780 PMCID: PMC7809273 DOI: 10.1038/s41598-020-80346-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 12/11/2020] [Indexed: 01/29/2023] Open
Abstract
There is significant interest in understanding the pathophysiology of Obsessive-Compulsive Disorder (OCD) using resting-state fMRI (rsfMRI). Previous studies acknowledge abnormalities within and beyond the fronto-striato-limbic circuit in OCD that require further clarifications. However, limited information could be inferred from the conventional way of investigating the functional connectivity differences between OCD and healthy controls. Here, we identified altered brain organization in patients with OCD by applying individual-based approaches to maximize the identification of underlying network-based features specific to the OCD group. rsfMRI of 20 patients with OCD and 22 controls were preprocessed, and individual-fMRI-subspace was derived for each subject within each group. We evaluated group differences in functional connectivity using individual-fMRI-subspace and established its advantage over conventional-fMRI methodology. We applied prediction-based approaches to highlight the group differences by evaluating the differences in functional connections that predicted the clinical scores (namely, the Obsessive-Compulsive Inventory-Revised (OCI-R) and Hamilton Anxiety Rating Scale). Then, we explored the brain network organization of both groups by estimating the subject-specific communities within each group. Lastly, we evaluated associations between the inter-individual variation of nodes in the communities to clinical measures using linear regression. Functional connectivity analysis using individual-fMRI-subspace detected 83 connections that were different between OCD and control groups, compared to none found using conventional-fMRI methodology. Connectome-based prediction analysis did not show significant overlap between the two groups in the functional connections that predicted the clinical scores. This suggests that the functional architecture in patients with OCD may be different compared to controls. Seven communities were found in both groups. Interestingly, within the OCD group but not controls, we observed functional connectivity between cerebellar and visual regions, and lack of connectivity between striato-limbic and frontal areas. Inter-individual variations in the community-size of these two communities were also associated with the OCI-R score (p < .005). Due to our small sample size, we further validated our results by (i) accounting for head motion, (ii) applying global signal regression (GSR) in data processing, and (iii) using an alternate atlas for parcellation. While the main results were consistently observed with accounting for head motion and using another atlas, the key findings were not reproduced with GSR application. The study demonstrated the existence of disconnectedness in fronto-striato-limbic community and connectedness between cerebellar and visual areas in OCD patients, which was also related to the clinical symptomatology of OCD.
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14
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Simon SS, Hampstead BM, Nucci MP, Ferreira LK, Duran FLS, Fonseca LM, Martin MDGM, Ávila R, Porto FHG, Brucki SMD, Martins CB, Tascone LS, Jr. EA, Busatto GF, Bottino CMC. Mnemonic strategy training modulates functional connectivity at rest in mild cognitive impairment: Results from a randomized controlled trial. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2020; 6:e12075. [PMID: 33204817 PMCID: PMC7647944 DOI: 10.1002/trc2.12075] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 07/23/2020] [Accepted: 07/28/2020] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Mnemonic strategy training (MST) has been shown to improve cognitive performance and increase brain activation in those with mild cognitive impairment (MCI). However, little is known regarding the effects of MST on functional connectivity (FC) at rest. The aim of the present study was to investigate the MST focused on face-name associations effect on resting-state FC in those with MCI. METHODS Twenty-six amnestic MCI participants were randomized in MST (N = 14) and Education Program (active control; N = 12). Interventions occurred twice a week over two consecutive weeks (ie, four sessions). Resting-state functional magnetic resonance imaging was collected at pre- and post-intervention. Regions of interest (ROIs) were selected based on areas that previously showed task-related activation changes after MST. Changes were examined through ROI-to-ROI analysis and significant results were corrected for multiple comparisons. RESULTS At post-intervention, only the MST group showed increased FC, whereas the control group showed decreased or no change in FC. After MST, there was an increased FC between the left middle temporal gyrus and right orbitofrontal cortex. In addition, a time-by-group interaction indicated that the MST group showed greater increased FC between the right inferior frontal gyrus and left brain regions, such as fusiform gyrus, temporal pole, and orbitofrontal cortex relative to controls. DISCUSSION MST enhanced FC in regions that are functionally relevant for the training; however, not in all ROIs investigated. Our findings suggest that MST-induced changes are reflected in task-specific conditions, as previously reported, but also in general innate connectivity. Our results both enhance knowledge about the mechanisms underlying MST effects and may provide neurophysiological evidence of training transfer.
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Affiliation(s)
- Sharon Sanz Simon
- Old Age Research Group (PROTER)Department and Institute of PsychiatryFaculty of MedicineUniversity of São PauloSão PauloBrazil
| | - Benjamin M. Hampstead
- Department of PsychiatryUniversity of MichiganAnn ArborMichiganUSA
- Mental Health ServiceVA Ann Arbor Healthcare SystemAnn ArborMichiganUSA
| | - Mariana P. Nucci
- Neuroimagem Funcional (NIF) ‐ Laboratory of Medical Investigations on Magnetic Resonance Imaging (LIM‐44)Hospital das Clinicas HCFMUSPFaculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Luiz Kobuti Ferreira
- Laboratory of Psychiatric Neuroimaging (LIM‐21)Department and Institute of PsychiatryFaculty of MedicineUniversity of São PauloSão PauloBrazil
| | - Fábio L. S. Duran
- Laboratory of Psychiatric Neuroimaging (LIM‐21)Department and Institute of PsychiatryFaculty of MedicineUniversity of São PauloSão PauloBrazil
| | - Luciana M. Fonseca
- Old Age Research Group (PROTER)Department and Institute of PsychiatryFaculty of MedicineUniversity of São PauloSão PauloBrazil
| | - Maria da Graça M. Martin
- Neuroimagem Funcional (NIF) ‐ Laboratory of Medical Investigations on Magnetic Resonance Imaging (LIM‐44)Hospital das Clinicas HCFMUSPFaculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Renata Ávila
- Old Age Research Group (PROTER)Department and Institute of PsychiatryFaculty of MedicineUniversity of São PauloSão PauloBrazil
| | - Fábio H. G. Porto
- Old Age Research Group (PROTER)Department and Institute of PsychiatryFaculty of MedicineUniversity of São PauloSão PauloBrazil
| | - Sônia M. D. Brucki
- Department of NeurologyFaculty of MedicineUniversity of São PauloSão PauloBrazil
| | - Camila B. Martins
- Department of Preventive MedicinePaulista School of MedicineFederal University of São PauloSão PauloBrazil
| | - Lyssandra S. Tascone
- Old Age Research Group (PROTER)Department and Institute of PsychiatryFaculty of MedicineUniversity of São PauloSão PauloBrazil
- Laboratory of Psychiatric Neuroimaging (LIM‐21)Department and Institute of PsychiatryFaculty of MedicineUniversity of São PauloSão PauloBrazil
| | - Edson Amaro Jr.
- Neuroimagem Funcional (NIF) ‐ Laboratory of Medical Investigations on Magnetic Resonance Imaging (LIM‐44)Hospital das Clinicas HCFMUSPFaculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Geraldo F. Busatto
- Laboratory of Psychiatric Neuroimaging (LIM‐21)Department and Institute of PsychiatryFaculty of MedicineUniversity of São PauloSão PauloBrazil
| | - Cássio M. C. Bottino
- Old Age Research Group (PROTER)Department and Institute of PsychiatryFaculty of MedicineUniversity of São PauloSão PauloBrazil
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15
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Dionisio‐Parra B, Wiesinger F, Sämann PG, Czisch M, Solana AB. Looping Star fMRI in Cognitive Tasks and Resting State. J Magn Reson Imaging 2020; 52:739-751. [DOI: 10.1002/jmri.27073] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 01/11/2020] [Accepted: 01/13/2020] [Indexed: 12/18/2022] Open
Affiliation(s)
- Beatriz Dionisio‐Parra
- Department of Computer ScienceTechnical University of Munich Garching Germany
- ASL Europe, GE Healthcare Munich Germany
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16
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Minami SB, Oishi N, Watabe T, Wasano K, Ogawa K. Age-related change of auditory functional connectivity in Human Connectome Project data and tinnitus patients. Laryngoscope Investig Otolaryngol 2020; 5:132-136. [PMID: 32128439 PMCID: PMC7042643 DOI: 10.1002/lio2.338] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 11/20/2019] [Accepted: 11/23/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We reported that tinnitus patients showed reduced levels of auditory functional connectivity (FC) in comparison with normal hearing control subjects, and that we succeeded in objective diagnosis of tinnitus with 86% sensitivity and 74% specificity by focusing only on auditory-related FC. However, the age-related change of auditory FC is not clarified. In this study, we examine age-related change of the auditory FC using the database of Human Connectome Project (HCP) and compared with our database of tinnitus patients. METHOD From the HCP database HCP Lifespan Pilot project, we studied five age groups, 8 to 9 years old, 14 to 15, 25 to 35, 45 to 55, and 65 to 75. We also applied our tinnitus patients' resting-state functional magnetic resonance imaging (fMRI) database, which is divided into three generations; 20 to 40 years old, 40 to 60, and 60 to 80 to compare with the HCP database. The resting state fMRI analyses were performed using the CONN toolbox version 18. As auditory-related regions, Heschl's gyrus, planum temporale, planum polare, operculum, insular cortex, and superior temporal gyrus were set as the regions of interest from our previous reports. RESULT Auditory FC is strongest among adolescents and reduces with age. But the auditory FC of tinnitus patients were significantly less than those of HCP data in each generation. CONCLUSION Although auditory FC decreases with age, tinnitus patients have less auditory FC compared with age-matched controls. The age-matched cutoff values are necessary for an objective diagnosis of tinnitus with resting state fMRI.
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Affiliation(s)
- Shujiro B. Minami
- National Hospital Organization Tokyo Medical CenterNational Institute of Sensory OrgansMeguro CityTokyoJapan
- Department of OtolaryngologyNational Hospital Organization Tokyo Medical CenterMeguro CityTokyoJapan
| | - Naoki Oishi
- Department of Otolaryngology, Head and Neck SurgeryKeio University, School of MedicineShinjuku CityTokyoJapan
| | - Takahisa Watabe
- Department of Otolaryngology, Head and Neck SurgeryKeio University, School of MedicineShinjuku CityTokyoJapan
| | - Koichiro Wasano
- National Hospital Organization Tokyo Medical CenterNational Institute of Sensory OrgansMeguro CityTokyoJapan
- Department of OtolaryngologyNational Hospital Organization Tokyo Medical CenterMeguro CityTokyoJapan
| | - Kaoru Ogawa
- Department of Otolaryngology, Head and Neck SurgeryKeio University, School of MedicineShinjuku CityTokyoJapan
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17
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Cai WW, Li ZC, Yang QT, Zhang T. Abnormal Spontaneous Neural Activity of the Central Auditory System Changes the Functional Connectivity in the Tinnitus Brain: A Resting-State Functional MRI Study. Front Neurosci 2019; 13:1314. [PMID: 31920484 PMCID: PMC6932986 DOI: 10.3389/fnins.2019.01314] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 11/25/2019] [Indexed: 01/20/2023] Open
Abstract
Objective An abnormal state of the central auditory system (CAS) likely plays a large role in the occurrence of phantom sound of tinnitus. Various tinnitus studies using resting-state functional MRI (RS-fMRI) have reported aberrant spontaneous brain activity in the non-auditory system and altered functional connectivity between the CAS and non-auditory system. This study aimed to investigate abnormal functional connections between the aberrant spontaneous activity in the CAS and the whole brain in tinnitus patients, compared to healthy controls (HC) using RS-fMRI. Materials and Methods RS-fMRI from 16 right-ear tinnitus patients with normal hearing (TNHs) and 15 HC individuals was collected, and the time series were extracted from different clusters of a CAS template, supplied by the Anatomy Toolbox of the Statistical Parametric Mapping software. These data were used to derive the smoothed mean amplitude of low-frequency fluctuation (smALFF) values and calculate the relationship between such values and the corresponding clinical data. In addition, clusters in the CAS identified by the smALFF maps were set as seed regions for calculating and comparing the brain-wide connectivity between TNH and HC. Results We identified the different clusters located in the left higher auditory cortex (HAC) and the right inferior colliculus (IC) from the smALFF maps that contained increased (HAC) and decreased (IC) activity when the TNH group was compared to the HC group, respectively. The value of increased smALFF cluster in the HAC was positively correlated with the tinnitus score, but the decreased smALFF cluster in the IC was not correlated with any clinical characters of tinnitus. The TNH group displayed increased connectivity, compared to the HC group, in brain regions that encompassed the left IC, bilateral Heschl gyrus, bilateral supplementary motor area, right insula, bilateral superior temporal gyrus, right middle temporal gyrus, left hippocampus, left amygdala, and right supramarginal gyrus. Conclusion Tinnitus may be linked to abnormal spontaneous activity in the HAC, which can arise from the neural plasticity induced from the increased functional connectivity between the auditory network, cerebellum, and limbic system.
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Affiliation(s)
- Wei-Wei Cai
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.,Department of Otolaryngology-Head and Neck Surgery, Panyu Central Hospital, Guangzhou, China
| | - Zhi-Cheng Li
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qin-Tai Yang
- Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tao Zhang
- Department of Otolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
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18
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Xu JJ, Cui J, Feng Y, Yong W, Chen H, Chen YC, Yin X, Wu Y. Chronic Tinnitus Exhibits Bidirectional Functional Dysconnectivity in Frontostriatal Circuit. Front Neurosci 2019; 13:1299. [PMID: 31866810 PMCID: PMC6909243 DOI: 10.3389/fnins.2019.01299] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 11/20/2019] [Indexed: 12/28/2022] Open
Abstract
Purpose The phantom sound of tinnitus is considered to be associated with abnormal functional coupling between the nucleus accumbens (NAc) and the prefrontal cortex, which may form a frontostriatal top-down gating system to evaluate and modulate sensory signals. Resting-state functional magnetic resonance imaging (fMRI) was used to recognize the aberrant directional connectivity of the NAc in chronic tinnitus and to ascertain the relationship between this connectivity and tinnitus characteristics. Methods Participants included chronic tinnitus patients (n = 50) and healthy controls (n = 55), matched for age, sex, education, and hearing thresholds. The hearing status of both groups was comparable. On the basis of the NAc as a seed region, a Granger causality analysis (GCA) study was conducted to investigate the directional connectivity and the relationship with tinnitus duration or distress. Results Compared with healthy controls, tinnitus patients exhibited abnormal directional connectivity between the NAc and the prefrontal cortex, principally the middle frontal gyrus (MFG), orbitofrontal cortex (OFC), and inferior frontal gyrus (IFG). Additionally, positive correlations between tinnitus handicap questionnaire (THQ) scores and increased directional connectivity from the right NAc to the left MFG (r = 0.357, p = 0.015) and from the right MFG to the left NAc (r = 0.626, p < 0.001) were observed. Furthermore, the enhanced directional connectivity from the right NAc to the right OFC was positively associated with the duration of tinnitus (r = 0.599, p < 0.001). Conclusion In concurrence with expectations, tinnitus distress was correlated with enhanced directional connectivity between the NAc and the prefrontal cortex. The current study not only helps illuminate the neural basis of the frontostriatal gating control of tinnitus sensation but also contributes to deciphering the neuropathological features of tinnitus.
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Affiliation(s)
- Jin-Jing Xu
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Jinluan Cui
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yuan Feng
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Wei Yong
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Huiyou Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yuanqing Wu
- Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
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19
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Gentil A, Deverdun J, Menjot de Champfleur N, Puel JL, Le Bars E, Venail F. Alterations in Regional Homogeneity in Patients With Unilateral Chronic Tinnitus. Trends Hear 2019; 23:2331216519830237. [PMID: 30995887 DOI: 10.1177/2331216519830237] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Chronic subjective tinnitus is a widespread disorder. This perceptual anomaly is assumed to result from a dysbalance of excitatory and inhibitory mechanisms on different levels of the auditory pathways. However, the brain areas involved are still under discussion. Using resting-state functional magnetic resonance imaging, we investigate differences in cerebral regional homogeneity (ReHo) between patients with unilateral chronic tinnitus and nontinnitus control subjects. To our knowledge, our study is the first to investigate the intraregional connectivity of patients with unilateral tinnitus in relation to hearing loss. Our analyses, based on strict recruitment and characterization of the participants, showed reduced ReHo in the primary auditory cortex contralateral to the side of the perceived tinnitus percept in patients. Reduced ReHo in this same region was also correlated with increased Tinnitus Handicap Inventory and Visual Analogue Scale for loudness scores, reflecting an alteration of synchronization in this region related to the perceived loudness of the tinnitus and the related distress. Furthermore, increased ReHo in the supramarginal and angular gyri ipsilateral to the tinnitus side was correlated with increased tinnitus duration and hearing threshold at the tinnitus pitch. The correlations observed in these brain areas, which are normally related to the nontinnitus ear, could highlight compensatory mechanisms in these secondary auditory regions.
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Affiliation(s)
- Anthony Gentil
- 1 Institute for Neurosciences of Montpellier, France.,2 Institut d'Imagerie Fonctionnelle Humaine, I2FH, Hospital and University of Montpellier, France
| | - Jeremy Deverdun
- 2 Institut d'Imagerie Fonctionnelle Humaine, I2FH, Hospital and University of Montpellier, France
| | - Nicolas Menjot de Champfleur
- 2 Institut d'Imagerie Fonctionnelle Humaine, I2FH, Hospital and University of Montpellier, France.,3 Laboratoire Charles Coulomb, Université de Montpellier, France
| | - Jean-Luc Puel
- 1 Institute for Neurosciences of Montpellier, France
| | - Emmanuelle Le Bars
- 2 Institut d'Imagerie Fonctionnelle Humaine, I2FH, Hospital and University of Montpellier, France.,3 Laboratoire Charles Coulomb, Université de Montpellier, France
| | - Frédéric Venail
- 1 Institute for Neurosciences of Montpellier, France.,4 ENT Department, Hospital and University of Montpellier, France
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Individual-specific fMRI-Subspaces improve functional connectivity prediction of behavior. Neuroimage 2019; 189:804-812. [DOI: 10.1016/j.neuroimage.2019.01.069] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 01/09/2019] [Accepted: 01/28/2019] [Indexed: 01/22/2023] Open
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Wiesinger F, Menini A, Solana AB. Looping Star. Magn Reson Med 2018; 81:57-68. [DOI: 10.1002/mrm.27440] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 01/29/2018] [Accepted: 02/13/2018] [Indexed: 12/13/2022]
Affiliation(s)
- Florian Wiesinger
- ASL Europe, GE Healthcare; Munich Germany
- Department of Neuroimaging; Institute of Psychiatry, Psychology & Neuroscience, King's College London; London United Kingdom
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Two-Dimensional Temporal Clustering Analysis for Patients with Epilepsy: Detecting Epilepsy-Related Information in EEG-fMRI Concordant, Discordant and Spike-Less Patients. Brain Topogr 2017; 31:322-336. [PMID: 29022116 DOI: 10.1007/s10548-017-0598-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Accepted: 09/26/2017] [Indexed: 10/18/2022]
Abstract
EEG acquired simultaneously with fMRI (EEG-fMRI) is a multimodal method that has shown promise in mapping the seizure onset zone in patients with focal epilepsy. However, there are many instances when this method is unsuccessful or not applicable, and other data driven fMRI methods may be utilized. One such method is the two-dimensional temporal clustering analysis (2dTCA). In this study we compared the classic EEG-fMRI and 2dTCA performance in mapping regions related to the seizure onset region in 18 focal epilepsy patients (12 presenting interictal epileptiform discharges (IEDs), during EEG-fMRI acquisition) with Engel I or II surgical outcome. Activation maps of both 2dTCA timing outputs (positive and negative histograms) and EEG detected IEDs were computed and compared to the region of epilepsy surgical resection. Patients were evaluated in three categories based on frequency of EEG detected spiking during the MRI. EEG-fMRI maps were concordant to the epilepsy region in 5/12 subjects, four with frequent IEDs on EEG. The 2dTCA was successful in mapping 13/18 patients including 3/6 with no IEDs detected (10/12 with IEDs detected). The epilepsy-related activities were successfully mapped by both methods in only 4/12 patients. This work suggests that the epilepsy-related information detected by each method may be different: while EEG-fMRI is more accurate in patients with high rather than lower numbers of EEG detected IEDs; 2dTCA can be useful in evaluating patients even when no concurrent EEG spikes are detected or EEG-fMRI is not effective. Therefore, our results support that 2dTCA might be an alternative for mapping epilepsy-related BOLD activity in negative EEG-fMRI (6/7 patients) and spike-less patients.
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23
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On the detection of high frequency correlations in resting state fMRI. Neuroimage 2017; 164:202-213. [PMID: 28163143 DOI: 10.1016/j.neuroimage.2017.01.059] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Revised: 01/20/2017] [Accepted: 01/24/2017] [Indexed: 02/07/2023] Open
Abstract
Current studies of resting-state connectivity rely on coherent signal fluctuations at frequencies below 0.1 Hz, however, recent studies using high-speed fMRI have shown that fluctuations above 0.5 Hz may exist. This study replicates the feasibility of measuring high frequency (HF) correlations in six healthy controls and a patient with a brain tumor while analyzing non-physiological signal sources via simulation. Resting-state data were acquired using a high-speed multi-slab echo-volumar imaging pulse sequence with 136 ms temporal resolution. Bandpass frequency filtering in combination with sliding window seed-based connectivity analysis using running mean of the correlation maps was employed to map HF correlations up to 3.7 Hz. Computer simulations of Rician noise and the underlying point spread function were analyzed to estimate baseline spatial autocorrelation levels in four major networks (auditory, sensorimotor, visual, and default-mode). Using seed regions based on Brodmann areas, the auditory and default-mode networks were observed to have significant frequency band dependent HF correlations above baseline spatial autocorrelation levels. Correlations in the sensorimotor network were at trend level. The auditory network was still observed using a unilateral single voxel seed. In the patient, HF auditory correlations showed a spatial displacement near the tumor consistent with the displacement seen at low frequencies. In conclusion, our data suggest that HF connectivity in the human brain may be observable with high-speed fMRI, however, the detection sensitivity may depend on the network observed, data acquisition technique, and analysis method.
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Andoh J, Ferreira M, Leppert I, Matsushita R, Pike B, Zatorre R. How restful is it with all that noise? Comparison of Interleaved silent steady state (ISSS) and conventional imaging in resting-state fMRI. Neuroimage 2017; 147:726-735. [DOI: 10.1016/j.neuroimage.2016.11.065] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2016] [Revised: 11/03/2016] [Accepted: 11/26/2016] [Indexed: 01/24/2023] Open
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Yakunina N, Kim TS, Tae WS, Kim SS, Nam EC. Applicability of the Sparse Temporal Acquisition Technique in Resting-State Brain Network Analysis. AJNR Am J Neuroradiol 2016; 37:515-20. [PMID: 26585264 DOI: 10.3174/ajnr.a4554] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2014] [Accepted: 08/17/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The ability of sparse temporal acquisition to minimize the effect of scanner background noise is of utmost importance in auditory fMRI; however, it has considerably lower temporal efficiency and resolution than the conventional continuous acquisition method. The purpose of this study was to determine whether sparse sampling could be applied to resting-state research by comparing its results with those obtained by using continuous acquisition. MATERIALS AND METHODS We identified resting-state networks by using independent component analysis and measured their functional connectivity strength in 14 healthy subjects who underwent two 6-minute sparse (60 volumes) and continuous (360 volumes) imaging sessions. To account for the sample size difference, an additional continuous dataset was generated by temporally matching the continuous dataset to 60 volumes of the sparse dataset. RESULTS Consistent resting-state network maps were produced through all 3 datasets. Scanner background noise did not appear to affect the spatial constitution of the networks, whereas a larger sample size influenced it substantially. The strength of the intranetwork connectivity was similar through the 3 datasets. CONCLUSIONS Our results indicated that continuous acquisition is a recommended technique that should be applied in most of the resting-state studies due to its superior temporal efficiency and increased statistical power. The use of sparse temporal acquisition should be restricted to very particular conditions when continuous scanner noise is unacceptable.
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Affiliation(s)
- N Yakunina
- From the Institute of Medical Science (N.Y.) Neuroscience Research Institute (N.Y., W.S.T., S.S.K., E.C.N.)
| | - T S Kim
- Department of Otolaryngology (T.S.K.), Kangwon National University Hospital, Chuncheon, Republic of Korea
| | - W S Tae
- Neuroscience Research Institute (N.Y., W.S.T., S.S.K., E.C.N.)
| | - S S Kim
- Department of Radiology (S.S.K.) Neuroscience Research Institute (N.Y., W.S.T., S.S.K., E.C.N.)
| | - E C Nam
- Department of Otolaryngology (E.C.N.), Kangwon National University, School of Medicine, Chuncheon, Republic of Korea Neuroscience Research Institute (N.Y., W.S.T., S.S.K., E.C.N.)
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Ferreira LK, Regina ACB, Kovacevic N, Martin MDGM, Santos PP, Carneiro CDG, Kerr DS, Amaro E, McIntosh AR, Busatto GF. Aging Effects on Whole-Brain Functional Connectivity in Adults Free of Cognitive and Psychiatric Disorders. Cereb Cortex 2015; 26:3851-65. [DOI: 10.1093/cercor/bhv190] [Citation(s) in RCA: 132] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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27
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Solana AB, Menini A, Sacolick LI, Hehn N, Wiesinger F. Quiet and distortion-free, whole brain BOLD fMRI using T2
-prepared RUFIS. Magn Reson Med 2015; 75:1402-12. [DOI: 10.1002/mrm.25658] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2014] [Revised: 01/09/2015] [Accepted: 01/27/2015] [Indexed: 12/31/2022]
Affiliation(s)
| | | | | | - Nicolas Hehn
- GE Global Research; Munich Germany
- Department of Medical Engineering; Technische Universität München; Munich Germany
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Senra Filho ACDS, Rondinoni C, dos Santos AC, Murta LO. Brain activation inhomogeneity highlighted by the Isotropic Anomalous Diffusion filter. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2015; 2014:3313-6. [PMID: 25570699 DOI: 10.1109/embc.2014.6944331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The visual appealing nature of the now popular BOLD fMRI may give the false impression of extreme simplicity, as if the the functional maps could be generated with the press of a single button. However, one can only get plausible maps after long and cautious processing, considering that time and noise come into play during acquisition. One of the most popular ways to account for noise and individual variability in fMRI is the use of a Gaussian spatial filter. Although very robust, this filter may introduce excessive blurring, given the strong dependence of results on the central voxel value. Here, we propose the use of the Isotropic Anomalous Diffusion (IAD) approach, aiming to reduce excessive homogeneity while retaining the natural variability of signal across brain space. We found differences between Gaussian and IAD filters in two parameters gathered from Independent Component maps (ICA), identified on brain areas responsible for auditory processing during rest. Analysis of data gathered from 7 control subjects shows that the IAD filter rendered more localized active areas and higher contrast-to-noise ratios, when compared to equivalent Gaussian filtered data (Student t-test, p<0.05). The results seem promising, since the anomalous filter performs satisfactorily in filtering noise with less distortion of individual localized brain responses.
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Langers DRM, Sanchez-Panchuelo RM, Francis ST, Krumbholz K, Hall DA. Neuroimaging paradigms for tonotopic mapping (II): the influence of acquisition protocol. Neuroimage 2014; 100:663-75. [PMID: 25067814 PMCID: PMC5546393 DOI: 10.1016/j.neuroimage.2014.07.042] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2014] [Revised: 07/18/2014] [Accepted: 07/21/2014] [Indexed: 11/04/2022] Open
Abstract
Numerous studies on the tonotopic organisation of auditory cortex in humans have employed a wide range of neuroimaging protocols to assess cortical frequency tuning. In the present functional magnetic resonance imaging (fMRI) study, we made a systematic comparison between acquisition protocols with variable levels of interference from acoustic scanner noise. Using sweep stimuli to evoke travelling waves of activation, we measured sound-evoked response signals using sparse, clustered, and continuous imaging protocols that were characterised by inter-scan intervals of 8.8, 2.2, or 0.0 s, respectively. With regard to sensitivity to sound-evoked activation, the sparse and clustered protocols performed similarly, and both detected more activation than the continuous method. Qualitatively, tonotopic maps in activated areas proved highly similar, in the sense that the overall pattern of tonotopic gradients was reproducible across all three protocols. However, quantitatively, we observed substantial reductions in response amplitudes to moderately low stimulus frequencies that coincided with regions of strong energy in the scanner noise spectrum for the clustered and continuous protocols compared to the sparse protocol. At the same time, extreme frequencies became over-represented for these two protocols, and high best frequencies became relatively more abundant. Our results indicate that although all three scanning protocols are suitable to determine the layout of tonotopic fields, an exact quantitative assessment of the representation of various sound frequencies is substantially confounded by the presence of scanner noise. In addition, we noticed anomalous signal dynamics in response to our travelling wave paradigm that suggest that the assessment of frequency-dependent tuning is non-trivially influenced by time-dependent (hemo)dynamics when using sweep stimuli.
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Affiliation(s)
- Dave R M Langers
- National Institute for Health Research (NIHR) Nottingham Hearing Biomedical Research Unit, University of Nottingham, Nottingham, UK; Otology and Hearing Group, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.
| | - Rosa M Sanchez-Panchuelo
- Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Susan T Francis
- Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | | | - Deborah A Hall
- National Institute for Health Research (NIHR) Nottingham Hearing Biomedical Research Unit, University of Nottingham, Nottingham, UK; Otology and Hearing Group, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK
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Marchetti I, Van de Putte E, Koster EHW. Self-generated thoughts and depression: from daydreaming to depressive symptoms. Front Hum Neurosci 2014; 8:131. [PMID: 24672458 PMCID: PMC3957030 DOI: 10.3389/fnhum.2014.00131] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2013] [Accepted: 02/21/2014] [Indexed: 11/13/2022] Open
Abstract
Human minds often engage in thoughts and feelings that are self-generated rather than stimulus-dependent, such as daydreaming. Recent research suggests that under certain circumstances, daydreaming is associated with adverse effects on cognition and affect. Based on recent literature about the influence of resting mind in relation to rumination and depression, this questionnaire study investigated mechanisms linking daydreaming to depressive symptoms. Specifically, an indirect effect model was tested in which daydreaming influences depressive symptoms through enhancing self-focus and ruminative thought. Results were in line with the hypothesis and several alternative pathways were ruled out. The results provide initial supportive evidence that daydreaming can influence depressive symptoms through influences on self-focus and rumination. Further research should use prospective or experimental designs to further validate and strengthen these conclusions.
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Affiliation(s)
- Igor Marchetti
- Department of Experimental Clinical and Health Psychology, Ghent UniversityGhent, Belgium
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