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Feng S, Huang Y, Lu H, Li H, Zhou S, Lu H, Feng Y, Ning Y, Han W, Chang Q, Zhang Z, Liu C, Li J, Wu K, Wu F. Association between degree centrality and neurocognitive impairments in patients with Schizophrenia: A Longitudinal rs-fMRI Study. J Psychiatr Res 2024; 173:115-123. [PMID: 38520845 DOI: 10.1016/j.jpsychires.2024.03.007] [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: 09/11/2023] [Revised: 02/27/2024] [Accepted: 03/04/2024] [Indexed: 03/25/2024]
Abstract
BACKGROUND Evidence indicates that patients with schizophrenia (SZ) experience significant changes in their functional connectivity during antipsychotic treatment. Despite previous reports of changes in brain network degree centrality (DC) in patients with schizophrenia, the relationship between brain DC changes and neurocognitive improvement in patients with SZ after antipsychotic treatment remains elusive. METHODS A total of 74 patients with acute episodes of chronic SZ and 53 age- and sex-matched healthy controls were recruited. The Positive and Negative Syndrome Scale (PANSS), Symbol Digit Modalities Test, digital span test (DST), and verbal fluency test were used to evaluate the clinical symptoms and cognitive performance of the patients with SZ. Patients with SZ were treated with antipsychotics for six weeks starting at baseline and underwent MRI and clinical interviews at baseline and after six weeks, respectively. We then divided the patients with SZ into responding (RS) and non-responding (NRS) groups based on the PANSS scores (reduction rate of PANSS ≥50%). DC was calculated and analyzed to determine its correlation with clinical symptoms and cognitive performance. RESULTS After antipsychotic treatment, the patients with SZ showed significant improvements in clinical symptoms, semantic fluency performance. Correlation analysis revealed that the degree of DC increase in the left anterior inferior parietal lobe (aIPL) after treatment was negatively correlated with changes in the excitement score (r = -0.256, p = 0.048, adjusted p = 0.080), but this correlation failed the multiple test correction. Patients with SZ showed a significant negative correlation between DC values in the left aIPL and DST scores after treatment, which was not observed at the baseline (r = -0.359, p = 0.005, adjusted p = 0.047). In addition, we did not find a significant difference in DC between the RS and NRS groups, neither at baseline nor after treatment. CONCLUSIONS The results suggested that DC changes in patients with SZ after antipsychotic treatment are correlated with neurocognitive performance. Our findings provide new insights into the neuropathological mechanisms underlying antipsychotic treatment of SZ.
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Affiliation(s)
- Shixuan Feng
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuanyuan Huang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hongxin Lu
- Department of Psychiatry, Longyan Third Hospital of Fujian Province, Longyan, China
| | - Hehua Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Sumiao Zhou
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hanna Lu
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yangdong Feng
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Department of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China
| | - Wei Han
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qing Chang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ziyun Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chenyu Liu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Junhao Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Kai Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, China; Department of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China; National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, China; Key Laboratory of Biomedical Engineering of Guangdong Province, South China University of Technology, Guangzhou, China; Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou, China; Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
| | - Fengchun Wu
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Department of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China; Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China; Guangdong Engineering Technology Research Center for Diagnosis and Rehabilitation of Dementia, Guangzhou, China.
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Zhang X, Zeng Q, Wang Y, Jin Y, Qiu T, Li K, Luo X, Wang S, Xu X, Liu X, Zhao S, Li Z, Hong L, Li J, Zhong S, Zhang T, Huang P, Zhang B, Zhang M, Chen Y. Alteration of functional connectivity network in population of objectively-defined subtle cognitive decline. Brain Commun 2024; 6:fcae033. [PMID: 38425749 PMCID: PMC10903975 DOI: 10.1093/braincomms/fcae033] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 01/10/2024] [Accepted: 02/08/2024] [Indexed: 03/02/2024] Open
Abstract
The objectively-defined subtle cognitive decline individuals had higher progression rates of cognitive decline and pathological deposition than healthy elderly, indicating a higher risk of progressing to Alzheimer's disease. However, little is known about the brain functional alterations during this stage. Thus, we aimed to investigate the functional network patterns in objectively-defined subtle cognitive decline cohort. Forty-two cognitive normal, 29 objectively-defined subtle cognitive decline and 55 mild cognitive impairment subjects were included based on neuropsychological measures from the Alzheimer's disease Neuroimaging Initiative dataset. Thirty cognitive normal, 22 objectively-defined subtle cognitive declines and 48 mild cognitive impairment had longitudinal MRI data. The degree centrality and eigenvector centrality for each participant were calculated by using resting-state functional MRI. For cross-sectional data, analysis of covariance was performed to detect between-group differences in degree centrality and eigenvector centrality after controlling age, sex and education. For longitudinal data, repeated measurement analysis of covariance was used for comparing the alterations during follow-up period among three groups. In order to classify the clinical significance, we correlated degree centrality and eigenvector centrality values to Alzheimer's disease biomarkers and cognitive function. The results of analysis of covariance showed significant between-group differences in eigenvector centrality and degree centrality in left superior temporal gyrus and left precuneus, respectively. Across groups, the eigenvector centrality value of left superior temporal gyrus was positively related to recognition scores in auditory verbal learning test, whereas the degree centrality value of left precuneus was positively associated with mini-mental state examination total score. For longitudinal data, the results of repeated measurement analysis of covariance indicated objectively-defined subtle cognitive decline group had the highest declined rate of both eigenvector centrality and degree centrality values than other groups. Our study showed an increased brain functional connectivity in objectively-defined subtle cognitive decline individuals at both local and global level, which were associated with Alzheimer's disease pathology and neuropsychological assessment. Moreover, we also observed a faster declined rate of functional network matrix in objectively-defined subtle cognitive decline individuals during the follow-ups.
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Affiliation(s)
- Xinyi Zhang
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Yanbo Wang
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Yu Jin
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Tiantian Qiu
- Department of Radiology, Linyi People’s Hospital, 276003, Linyi, China
| | - Kaicheng Li
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Xiao Luo
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Shuyue Wang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Xiaopei Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Xiaocao Liu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Shuai Zhao
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Zheyu Li
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Luwei Hong
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Jixuan Li
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Siyan Zhong
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Tianyi Zhang
- Department of Neurology, The First Affiliated Hospital of Zhejiang University School of Medicine, 310003, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Baorong Zhang
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
| | - Yanxing Chen
- Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, 310009, Hangzhou, China
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Wang L, Hu F, Li W, Li Q, Li Y, Zhu J, Wei X, Yang J, Guo J, Qin Y, Shi H, Wang W, Wang Y. Relapse risk revealed by degree centrality and cluster analysis in heroin addicts undergoing methadone maintenance treatment. Psychol Med 2023; 53:2216-2228. [PMID: 34702384 DOI: 10.1017/s0033291721003937] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Based on hubs of neural circuits associated with addiction and their degree centrality (DC), this study aimed to construct the addiction-related brain networks for patients diagnosed with heroin dependence undertaking stable methadone maintenance treatment (MMT) and further prospectively identify the ones at high risk for relapse with cluster analysis. METHODS Sixty-two male MMT patients and 30 matched healthy controls (HC) underwent brain resting-state functional MRI data acquisition. The patients received 26-month follow-up for the monthly illegal-drug-use information. Ten addiction-related hubs were chosen to construct a user-defined network for the patients. Then the networks were discriminated with K-means-clustering-algorithm into different groups and followed by comparative analysis to the groups and HC. Regression analysis was used to investigate the brain regions significantly contributed to relapse. RESULTS Sixty MMT patients were classified into two groups according to their brain-network patterns calculated by the best clustering-number-K. The two groups had no difference in the demographic, psychological indicators and clinical information except relapse rate and total heroin consumption. The group with high-relapse had a wider range of DC changes in the cortical-striatal-thalamic circuit relative to HC and a reduced DC in the mesocorticolimbic circuit relative to the low-relapse group. DC activity in NAc, vACC, hippocampus and amygdala were closely related with relapse. CONCLUSION MMT patients can be identified and classified into two subgroups with significantly different relapse rates by defining distinct brain-network patterns even if we are blind to their relapse outcomes in advance. This may provide a new strategy to optimize MMT.
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Affiliation(s)
- Lei Wang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an 710061, P.R. China
- Department of Nuclear Medicine, Tangdu Hospital, Air Force Military Medical University, Xi'an, P.R. China
| | - Feng Hu
- Department of Radiology, The Hospital of Shaanxi Provincial Geology and Mineral Resources Bureau, Xi'an, P.R. China
| | - Wei Li
- Department of Radiology, Tangdu Hospital, Air Force Military Medical University, Xi'an, P.R. China
| | - Qiang Li
- Department of Radiology, Tangdu Hospital, Air Force Military Medical University, Xi'an, P.R. China
| | - Yongbin Li
- Department of Radiology, The Second Hospital of Xi'an Medical University, Xi'an, P.R. China
| | - Jia Zhu
- Department of Radiology, Tangdu Hospital, Air Force Military Medical University, Xi'an, P.R. China
| | - Xuan Wei
- Department of Radiology, Tangdu Hospital, Air Force Military Medical University, Xi'an, P.R. China
| | - Jian Yang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an 710061, P.R. China
| | - Jianxin Guo
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an 710061, P.R. China
| | - Yue Qin
- Department of Radiology, Xi'an Daxing Hospital, Xi'an, P.R. China
| | - Hong Shi
- Department of Radiology, Xi'an No.1 Hospital, Xi'an, P.R. China
| | - Wei Wang
- Department of Radiology, Tangdu Hospital, Air Force Military Medical University, Xi'an, P.R. China
| | - Yarong Wang
- Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an 710061, P.R. China
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Yang X, Kumar P, Wang M, Zhao L, Du Y, Zhang BY, Qi S, Sui J, Li T, Ma X. Antidepressant treatment-related brain activity changes in remitted major depressive disorder. Psychiatry Res Neuroimaging 2023; 330:111601. [PMID: 36724678 DOI: 10.1016/j.pscychresns.2023.111601] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 12/21/2022] [Accepted: 01/24/2023] [Indexed: 01/29/2023]
Abstract
Recent evidence has shown that some brain regions are core hubs and play a key role in the treatment of depression. Twenty-five unmedicated patients with major depressive disorder (MDD) were included, and telephone follow-up was performed at 8, 24, and 48 weeks after enrollment. After reaching clinical remission, they were scheduled for a second magnetic resonance imaging scan and clinical evaluation. Thirty-one healthy controls were also investigated. The intrinsic functional connectivity (degree centrality) of each participant was mapped using a computationally efficient approach. Then, functional connectivity of patients was calculated between the identified regions of interest by degree centrality analysis and every voxel. Later, linear regression analysis was used to identify potential variables predictive of an improvement in disease severity. The prominent hubs identified by degree centrality analysis included the cerebellum, inferior temporal gyrus, lingual gyrus, dorsal medial prefrontal cortex (DMPFC), and dorsal lateral prefrontal cortex. We also found that the increased degree centrality of DMPFC was associated with improvement in depressive symptoms. The brain activity associated with antidepressant effects, especially brain connectivity changes in the left DMPFC, can potentially be used to monitor treatment response and predict treatment outcomes.
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Affiliation(s)
- Xiao Yang
- Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Poornima Kumar
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, United States of America; Department of Psychiatry, Harvard Medical School, United States of America
| | - Min Wang
- Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Liansheng Zhao
- Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Yue Du
- Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Belinda Y Zhang
- School of Nursing and Health Professions, University of San Francisco, CA, United States
| | - Shile Qi
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University], 30303, Atlanta, GA, United States
| | - Jing Sui
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China; Chinese Academy of Sciences Center for Excellence in Brain Science, Institute of Automation, 100190, Beijing, China
| | - Tao Li
- Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Xiaohong Ma
- Psychiatric Laboratory and Mental Health Center, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, 610041, Chengdu, China.
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Luo L, Chen L, Wang Y, Li Q, He N, Li Y, You W, Wang Y, Long F, Guo L, Luo K, Sweeney JA, Gong Q, Li F. Patterns of brain dynamic functional connectivity are linked with attention-deficit/hyperactivity disorder-related behavioral and cognitive dimensions. Psychol Med 2023; 53:1-12. [PMID: 36748350 PMCID: PMC10600939 DOI: 10.1017/s0033291723000089] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 11/20/2022] [Accepted: 01/09/2023] [Indexed: 02/08/2023]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) is a clinically heterogeneous neurodevelopmental disorder defined by characteristic behavioral and cognitive features. Abnormal brain dynamic functional connectivity (dFC) has been associated with the disorder. The full spectrum of ADHD-related variation of brain dynamics and its association with behavioral and cognitive features remain to be established. METHODS We sought to identify patterns of brain dynamics linked to specific behavioral and cognitive dimensions using sparse canonical correlation analysis across a cohort of children with and without ADHD (122 children in total, 63 with ADHD). Then, using mediation analysis, we tested the hypothesis that cognitive deficits mediate the relationship between brain dynamics and ADHD-associated behaviors. RESULTS We identified four distinct patterns of dFC, each corresponding to a specific dimension of behavioral or cognitive function (r = 0.811-0.879). Specifically, the inattention/hyperactivity dimension was positively associated with dFC within the default mode network (DMN) and negatively associated with dFC between DMN and the sensorimotor network (SMN); the somatization dimension was positively associated with dFC within DMN and SMN; the inhibition and flexibility dimension and fluency and memory dimensions were both positively associated with dFC within DMN and between DMN and SMN, and negatively associated with dFC between DMN and the fronto-parietal network. Furthermore, we observed that cognitive functions of inhibition and flexibility mediated the relationship between brain dynamics and behavioral manifestations of inattention and hyperactivity. CONCLUSIONS These findings document the importance of distinct patterns of dynamic functional brain activity for different cardinal behavioral and cognitive features related to ADHD.
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Affiliation(s)
- Lekai Luo
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, P.R. China
| | - Lizhou Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
- Functional and Molecular Imaging Key Laboratory of Sichuan University, Chengdu 610041, Sichuan, P.R. China
| | - Yuxia Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, P.R. China
| | - Qian Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, P.R. China
| | - Ning He
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
| | - Yuanyuan Li
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
| | - Wanfang You
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, P.R. China
| | - Yaxuan Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, P.R. China
| | - Fenghua Long
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, P.R. China
| | - Lanting Guo
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
| | - Kui Luo
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
- National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610041, Sichuan, P.R. China
| | - John A. Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH 45219, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen 361021, Fujian, P.R China
| | - Fei Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, P.R. China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, P.R. China
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Zang Z, Song T, Li J, Nie B, Mei S, Zhang Y, Lu J. Severity-dependent functional connectome and the association with glucose metabolism in the sensorimotor cortex of Parkinson's disease. Front Neurosci 2023; 17:1104886. [PMID: 36793540 PMCID: PMC9922997 DOI: 10.3389/fnins.2023.1104886] [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: 11/22/2022] [Accepted: 01/16/2023] [Indexed: 01/31/2023] Open
Abstract
Functional MRI studies have achieved promising outcomes in revealing abnormal functional connectivity in Parkinson's disease (PD). The primary sensorimotor area (PSMA) received a large amount of attention because it closely correlates with motor deficits. While functional connectivity represents signaling between PSMA and other brain regions, the metabolic mechanism behind PSMA connectivity has rarely been well established. By introducing hybrid PET/MRI scanning, the current study enrolled 33 advanced PD patients during medication-off condition and 25 age-and-sex-matched healthy controls (HCs), aiming to not only identify the abnormal functional connectome pattern of the PSMA, but also to simultaneously investigate how PSMA functional connectome correlates with glucose metabolism. We calculated degree centrality (DC) and the ratio of standard uptake value (SUVr) using resting state fMRI and 18F-FDG-PET data. A two-sample t-test revealed significantly decreased PSMA DC (PFWE < 0.014) in PD patients. The PSMA DC also correlated negatively with H-Y stage (P = 0.031). We found a widespread reduction of H-Y stage associated (P-values < 0.041) functional connectivity between PSMA and the visual network, attention network, somatomotor network, limbic network, frontoparietal network as well as the default mode network. The PSMA DC correlated positively with FDG-uptake in the HCs (P = 0.039) but not in the PD patients (P > 0.44). In summary, we identified disease severity-dependent PSMA functional connectome which in addition uncoupled with glucose metabolism in PD patients. The current study highlighted the critical role of simultaneous PET/fMRI in revealing the functional-metabolic mechanism in the PSMA of PD patients.
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Affiliation(s)
- Zhenxiang Zang
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Tianbin Song
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Jiping Li
- Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Binbin Nie
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
| | - Shanshan Mei
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yuqing Zhang
- Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China,*Correspondence: Jie Lu ✉
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Breedt LC, Santos FAN, Hillebrand A, Reneman L, van Rootselaar AF, Schoonheim MM, Stam CJ, Ticheler A, Tijms BM, Veltman DJ, Vriend C, Wagenmakers MJ, van Wingen GA, Geurts JJG, Schrantee A, Douw L. Multimodal multilayer network centrality relates to executive functioning. Netw Neurosci 2023; 7:299-321. [PMID: 37339322 PMCID: PMC10275212 DOI: 10.1162/netn_a_00284] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 10/07/2022] [Indexed: 02/18/2024] Open
Abstract
Executive functioning (EF) is a higher order cognitive process that is thought to depend on a network organization facilitating integration across subnetworks, in the context of which the central role of the fronto-parietal network (FPN) has been described across imaging and neurophysiological modalities. However, the potentially complementary unimodal information on the relevance of the FPN for EF has not yet been integrated. We employ a multilayer framework to allow for integration of different modalities into one 'network of networks.' We used diffusion MRI, resting-state functional MRI, MEG, and neuropsychological data obtained from 33 healthy adults to construct modality-specific single-layer networks as well as a single multilayer network per participant. We computed single-layer and multilayer eigenvector centrality of the FPN as a measure of integration in this network and examined their associations with EF. We found that higher multilayer FPN centrality, but not single-layer FPN centrality, was related to better EF. We did not find a statistically significant change in explained variance in EF when using the multilayer approach as compared to the single-layer measures. Overall, our results show the importance of FPN integration for EF and underline the promise of the multilayer framework toward better understanding cognitive functioning.
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Affiliation(s)
- Lucas C. Breedt
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Fernando A. N. Santos
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
- Institute of Advanced Studies, University of Amsterdam, The Netherlands
| | - Arjan Hillebrand
- Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Liesbeth Reneman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Anne-Fleur van Rootselaar
- Department of Neurology and Clinical Neurophysiology, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Menno M. Schoonheim
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Cornelis J. Stam
- Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Anouk Ticheler
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Betty M. Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands
| | - Dick J. Veltman
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Chris Vriend
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Margot J. Wagenmakers
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
- GGZ in Geest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Guido A. van Wingen
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Jeroen J. G. Geurts
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, The Netherlands
| | - Linda Douw
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, The Netherlands
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8
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Chen X, Wang Z, Jiang H, Meng Y, Wang H, Li Y, Xu K, Yang J, Luo C. Flight training changes the brain functional pattern in cadets. Front Neurosci 2023; 17:1120628. [PMID: 37025375 PMCID: PMC10070807 DOI: 10.3389/fnins.2023.1120628] [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: 12/10/2022] [Accepted: 03/06/2023] [Indexed: 04/08/2023] Open
Abstract
Introduction To our knowledge, this is the first study to use MRI (Magnetic Resonance Imaging) before and after an intensive flight training. This study aimed to investigate the effectiveness of flight training in civil flying cadets. Methods The civil flying cadets and controls completed two study visits. Visit 1 was performed in 2019, and high spatial resolution structural image and resting-state functional MRI data were collected. The second visit was completed in 2022. In addition to the MRI data mentioned above, participants completed the cognitive function assessment at the second visit. Results Mixed-effect regression model analysis found that flight training enhanced the degree centrality (DC) values of the left middle frontal gyrus and left lingual gyrus. The subsequent correlation calculation analysis suggested a possible relationship between these alterations and cognitive function. Discussion These results suggest that flight training might promote the DC value of the prefrontal and occipital cortices and, in turn, enhance their executive function.
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Affiliation(s)
- Xi Chen
- Institute of Flight Technology, Civil Aviation Flight University of China, Guanghan, China
| | - Zian Wang
- Institute of Flight Technology, Civil Aviation Flight University of China, Guanghan, China
| | - Hao Jiang
- Institute of Flight Technology, Civil Aviation Flight University of China, Guanghan, China
| | - Yu Meng
- Institute of Flight Technology, Civil Aviation Flight University of China, Guanghan, China
| | - Hongmei Wang
- Institute of Marxism, Civil Aviation Flight University of China, Guanghan, China
| | - You Li
- Department of Student Affairs, Civil Aviation Flight University of China, Guanghan, China
| | - Kaijun Xu
- Institute of Flight Technology, Civil Aviation Flight University of China, Guanghan, China
| | - Jiazhong Yang
- Institute of Flight Technology, Civil Aviation Flight University of China, Guanghan, China
- *Correspondence: Jiazhong Yang,
| | - Cheng Luo
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- Cheng Luo,
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9
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Zhu W, Chen J, Tian X, Wu X, Matkurban K, Qiu J, Xia LX. The brain correlates of hostile attribution bias and their relation to the displaced aggression. J Affect Disord 2022; 317:204-211. [PMID: 36029872 DOI: 10.1016/j.jad.2022.08.065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 05/09/2022] [Accepted: 08/21/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND Hostile attribution bias (HAB) has been considered as a risk factor of various types of psychosocial adjustment problem, and contributes to displaced aggression (DA). The neural basis of HAB and the underlying mechanisms of how HAB predicts DA remain unclear. METHODS The current study used degree centrality (DC) and resting-sate functional connectivity (RSFC) to investigate the functional connection pattern related to HAB in 503 undergraduate students. Furthermore, the "Decoding" was used to investigate which psychological components the maps of the RSFC-behavior may be related to. Finally, to investigate whether and how the RSFC pattern, HAB predicts DA, we performed mediation analyses. RESULTS We found that HAB was negatively associated with DC in bilateral temporal poles (TP) and positively correlated with DC in the putamen and thalamus; Moreover, HAB was negatively associated with the strength of functional connectivity between TP and brain regions in the theory of mind network (ToM), and positively related to the strength of functional connectivity between the thalamus and regions in the ToM network. The "Decoding" showed the maps of the RSFC-behavior may involve the theory mind, autobiographic, language, comprehension and working memory. Mediation analysis further showed that HAB mediated the relationship between some neural correlates of the HAB and DA. LIMITATIONS The current results need to be further tested by experimental methods or longitudinal design in further studies. CONCLUSIONS These findings shed light on the neural underpinnings of HAB and provide a possible mediation model regarding the relationships among RSFC pattern, HAB, and displaced aggression.
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Affiliation(s)
- Wenfeng Zhu
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China; Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China; Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin 300387, China
| | - Jianxue Chen
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China; Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China; Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin 300387, China
| | - Xue Tian
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China; Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China; Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin 300387, China
| | - Xinyan Wu
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China; Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China; Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin 300387, China
| | - Kalbinur Matkurban
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China; Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China; Tianjin Social Science Laboratory of Students' Mental Development and Learning, Tianjin 300387, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality, Southwest University, Ministry of Education, Chongqing 400715, China.
| | - Ling-Xiang Xia
- Key Laboratory of Cognition and Personality, Southwest University, Ministry of Education, Chongqing 400715, China.
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10
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Graph-Theory-Based Degree Centrality Combined with Machine Learning Algorithms Can Predict Response to Treatment with Antipsychotic Medications in Patients with First-Episode Schizophrenia. DISEASE MARKERS 2022; 2022:1853002. [PMID: 36277973 PMCID: PMC9584695 DOI: 10.1155/2022/1853002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 07/26/2022] [Accepted: 08/16/2022] [Indexed: 11/22/2022]
Abstract
Objectives Schizophrenia (SCZ) is associated with disrupted functional brain connectivity, and antipsychotic medications are the primary and most commonly used treatment for schizophrenia. However, not all patients respond to antipsychotic medications. Methods The study is aimed at investigating whether the graph-theory-based degree centrality (DC), derived from resting-state functional MRI (rs-fMRI), can predict the treatment outcomes. rs-fMRI data from 38 SCZ patients were collected and compared with findings from 38 age- and gender-matched healthy controls (HCs). The patients were treated with antipsychotic medications for 16 weeks before undergoing a second rs-fMRI scan. DC data were processed using DPABI and SPM12 software. Results SCZ patients at baseline showed increased DC in the frontal and temporal gyrus, anterior cingulate cortex, and precuneus and reduced DC in bilateral subcortical gray matter structures. However, those abnormalities showed a clear renormalization after antipsychotic medication treatments. Support vector machine analysis using leave-one-out cross-validation achieved a correct classification rate of 84.2% (sensitivity 78.9%, specificity 89.5%, and area under the receiver operating characteristic curve (AUC) 0.925) for differentiating effective subjects from ineffective subjects. Brain areas that contributed most to the classification model were mainly located within the bilateral putamen, left inferior frontal gyrus, left middle occipital cortex, bilateral middle frontal gyrus, left cerebellum, left medial frontal gyrus, left inferior temporal gyrus, and left angular. Furthermore, the DC change within the bilateral putamen is negatively correlated with the symptom improvements after treatment. Conclusions Our study confirmed that graph-theory-based measures, combined with machine-learning algorithms, can provide crucial insights into pathophysiological mechanisms and the effectiveness of antipsychotic medications.
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11
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Takeuchi H, Shiota Y, Yaoi K, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Nozawa T, Ikeda S, Yokota S, Magistro D, Sassa Y, Kawashima R. Mercury levels in hair are associated with reduced neurobehavioral performance and altered brain structures in young adults. Commun Biol 2022; 5:529. [PMID: 35655003 PMCID: PMC9163068 DOI: 10.1038/s42003-022-03464-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 05/09/2022] [Indexed: 11/09/2022] Open
Abstract
AbstractThe detrimental effects of high-level mercury exposure on the central nervous system as well as effects of low-level exposure during early development have been established. However, no previous studies have investigated the effects of mercury level on brain morphometry using advance imaging techniques in young adults. Here, utilizing hair analysis which has been advocated as a method for biological monitoring, data of regional gray matter volume (rGMV), regional white matter volume (rWMV), fractional anisotropy (FA) and mean diffusivity (MD), cognitive functions, and depression among 920 healthy young adults in Japan, we showed that greater hair mercury levels were weakly but significantly associated with diminished cognitive performance, particularly on tasks requiring rapid processing (speed measures), lower depressive tendency, lower rGMV in areas of the thalamus and hippocampus, lower rWMV in widespread areas, greater FA in bilaterally distributed white matter areas overlapping with areas of significant rWMV reductions and lower MD of the widely distributed gray and white matter areas particularly in the bilateral frontal lobe and the right basal ganglia. These results suggest that even normal mercury exposure levels in Japan are weakly associated with differences of brain structures and lower neurobehavioral performance and altered mood among young adults.
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12
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Brilliant T D, Takeuchi H, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Hanawa S, Sekiguchi A, Ikeda S, Sakaki K, Kawata KHDS, Nozawa T, Yokota S, Magistro D, Kawashima R. Loneliness inside of the brain: evidence from a large dataset of resting-state fMRI in young adult. Sci Rep 2022; 12:7856. [PMID: 35550564 PMCID: PMC9098468 DOI: 10.1038/s41598-022-11724-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 04/25/2022] [Indexed: 12/12/2022] Open
Abstract
Although loneliness itself is a natural emotion, prolonged loneliness is detrimental to human health. Despite its detrimental effect, few loneliness-related neuroimaging studies have been published and some have limitations on the sample size number. This study aims to find the difference in resting-state functional connectivity associated with loneliness within a big sample size via the seed-based approach. Functional connectivity analysis was performed on a large cohort of young adults (N = 1336) using the seed-based functional connectivity approach to address the concern from previous studies. The analysis yielded statistically significant positive correlations between loneliness and functional connectivities between the inferior frontal gyrus and supplementary motor area, precentral gyrus, and superior parietal lobule. Additionally, the analysis replicated a finding from a previous study, which is increased functional connectivities between the inferior frontal gyrus and supplementary motor area. In conclusion, greater loneliness is reflected by stronger functional connectivity of the visual attention brain area.
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Affiliation(s)
- Denilson Brilliant T
- Department of Advanced Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
| | - Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Smart-Aging Research Center, Tohoku University, Sendai, Japan.,Departments of Cognitive Health Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | | | - Yuka Kotozaki
- Division of Clinical Research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Atsushi Sekiguchi
- Department of Behavioral Medicine, National Center of Neurology and Psychiatry, National Institute of Mental Health, Tokyo, Japan
| | - Shigeyuki Ikeda
- RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
| | - Kohei Sakaki
- Department of Advanced Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | | | - Takayuki Nozawa
- Research Institute for the Earth Inclusive Sensing, Tokyo Institute of Technology, Tokyo, Japan
| | - Susumu Yokota
- Faculty of Arts and Science, Kyushu University, Fukuoka, Japan
| | - Daniele Magistro
- Department of Sport Science, Nottingham Trent University, Nottingham, England
| | - Ryuta Kawashima
- Department of Advanced Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Smart-Aging Research Center, Tohoku University, Sendai, Japan
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13
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Chen X, Xiao M, Qin J, Bian Z, Qiu J, Feng T, He Q, Lei X, Chen H. Association between high levels of body-esteem and increased degree of midcingulate cortex global connectivity: A resting-state fMRI study. Psychophysiology 2022; 59:e14072. [PMID: 35460526 DOI: 10.1111/psyp.14072] [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: 08/12/2020] [Revised: 11/09/2021] [Accepted: 03/27/2022] [Indexed: 11/26/2022]
Abstract
Multiple neuroimaging studies have examined the neural underpinnings of body image disturbances in patients with eating disorders. However, key brain regions related to body image, such as body-esteem (BE), among healthy individuals are understudied. Given the extremely crucial role of BE in eating behaviors and physical and mental health, the current study conducted data-driven analysis and characterized the neurobiological correlates of BE with the network properties of the resting brain using the voxel-wise degree centrality (DC) measures of resting-state functional magnetic resonance imaging (rs-fMRI) data and seed-based resting-state functional connectivity (RSFC). A total of 694 healthy young adults (females = 474, mean age = 18.38 years, range = 17-22) underwent rs-fMRI, and completed the Body-Esteem Scale for Adolescents and Adults, the Eating Disorder Diagnosis Scale, and the Restraint Scale. After correcting for differences in age, gender, body mass index, and head motion, whole-brain correlation analyses revealed that a high level of BE was associated with increased DC within the right midcingulate cortex (MCC) and subsequent high levels of MCC-based RSFC strengths. Furthermore, MCC connectivity patterns related to BE were inversely associated with disordered eating behaviors. These findings suggest that adaptive cognitive and emotional regulation (i.e., self-evaluation and emotion based on body image) may explain the potential relationship between MCC connectivity patterns and BE to a certain extent. As such, future studies should investigate these interesting possibilities.
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Affiliation(s)
- Ximei Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Mingyue Xiao
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Jingmin Qin
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Ziming Bian
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.,Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Chongqing, China
| | - Tingyong Feng
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.,Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing, China
| | - Qinghua He
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.,Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality, Beijing Normal University, Chongqing, China.,Institute of Psychology, Key Laboratory of Mental Health, Chinese Academy of Sciences, Beijing, China
| | - Xu Lei
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.,Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, China
| | - Hong Chen
- Key Laboratory of Cognition and Personality, Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China
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14
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Diaz-Piedra C, Gianfranchi E, Catena A, Di Stasi LL. Electrophysiological correlates of the reverse Stroop effect: Results from a simulated handgun task. Int J Psychophysiol 2022; 175:32-42. [PMID: 35202736 DOI: 10.1016/j.ijpsycho.2022.02.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Revised: 02/13/2022] [Accepted: 02/15/2022] [Indexed: 10/19/2022]
Abstract
The color-word reverse Stroop (RS) effect still represents an interesting puzzle for cognitive researchers as an interference between incongruent ink colors and the meaning of the words is not always found. Here, we examined whether an unfamiliar and complex visuomotor task would produce a RS effect. Forty inexperienced shooters carried out a simulated shooting task. To test if the RS effect is related to the stimuli processing or to a late processing of the color (early and late time-windows), electroencephalographic global field power (GFP) variations were recorded with a high-impedance system (32 channels configuration in a standard monopolar montage, referenced to FCz and grounded to FPz). The color-word RS effect was reflected in the performance of 32 participants, suggesting that the strength of the association between the target and the specific response requested might be central to the RS interference. This behavioral result was paralleled by GFP modulations in 20 participants. A significant increase of the GFP for the congruent trials (e.g., the word "red" written in red ink) was recorded after stimulus presentation (conflict detection), followed by an increase for the incongruent trials (e.g., the word "red" written in green ink) just before the shooting (conflict resolution). Despite the limitations of the study, such as the inclusion of a low number of channels in the GFP analyses, the results suggest that the RS interference is easily elicited in tasks requiring an unfamiliar response, which supports the strength of association hypothesis. Moreover, as implied by the GFP modulations, the interference might occur early in time, but also in a later stage, closer to the response.
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Affiliation(s)
- Carolina Diaz-Piedra
- Mind, Brain, and Behavior Research Center-CIMCYC, University of Granada, Campus de Cartuja, 18071 Granada, Spain; College of Nursing and Health Innovation, Arizona State University, 550 N 3rd St, Phoenix 85004, AZ, USA.
| | - Evelyn Gianfranchi
- Mind, Brain, and Behavior Research Center-CIMCYC, University of Granada, Campus de Cartuja, 18071 Granada, Spain
| | - Andrés Catena
- Faculty of Psychology, University of Granada, Campus de Cartuja, 18071 Granada, Spain
| | - Leandro L Di Stasi
- Mind, Brain, and Behavior Research Center-CIMCYC, University of Granada, Campus de Cartuja, 18071 Granada, Spain; Joint Center University of Granada - Spanish Army Training and Doctrine Command, Gran Via n° 48, 18071 Granada, Spain.
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15
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Sbaihat H, Rajkumar R, Ramkiran S, Assi AAN, Felder J, Shah NJ, Veselinović T, Neuner I. Test-retest stability of spontaneous brain activity and functional connectivity in the core resting-state networks assessed with ultrahigh field 7-Tesla resting-state functional magnetic resonance imaging. Hum Brain Mapp 2022; 43:2026-2040. [PMID: 35044722 PMCID: PMC8933332 DOI: 10.1002/hbm.25771] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 11/26/2021] [Accepted: 12/14/2021] [Indexed: 12/12/2022] Open
Abstract
The growing demand for precise and reliable biomarkers in psychiatry is fueling research interest in the hope that identifying quantifiable indicators will improve diagnoses and treatment planning across a range of mental health conditions. The individual properties of brain networks at rest have been highlighted as a possible source for such biomarkers, with the added advantage that they are relatively straightforward to obtain. However, an important prerequisite for their consideration is their reproducibility. While the reliability of resting‐state (RS) measurements has often been studied at standard field strengths, they have rarely been investigated using ultrahigh‐field (UHF) magnetic resonance imaging (MRI) systems. We investigated the intersession stability of four functional MRI RS parameters—amplitude of low‐frequency fluctuations (ALFF) and fractional ALFF (fALFF; representing the spontaneous brain activity), regional homogeneity (ReHo; measure of local connectivity), and degree centrality (DC; measure of long‐range connectivity)—in three RS networks, previously shown to play an important role in several psychiatric diseases—the default mode network (DMN), the central executive network (CEN), and the salience network (SN). Our investigation at individual subject space revealed a strong stability for ALFF, ReHo, and DC in all three networks, and a moderate level of stability in fALFF. Furthermore, the internetwork connectivity between each network pair was strongly stable between CEN/SN and moderately stable between DMN/SN and DMN/SN. The high degree of reliability and reproducibility in capturing the properties of the three major RS networks by means of UHF‐MRI points to its applicability as a potentially useful tool in the search for disease‐relevant biomarkers.
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Affiliation(s)
- Hasan Sbaihat
- Institute of Neuroscience and Medicine, INM-4, Jülich, Germany.,Department of Medical Imaging, Arab-American University Palestine (AAUP), Jenin, Palestine.,Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Ravichandran Rajkumar
- Institute of Neuroscience and Medicine, INM-4, Jülich, Germany.,Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN-Translational Medicine, Aachen, Germany
| | - Shukti Ramkiran
- Institute of Neuroscience and Medicine, INM-4, Jülich, Germany.,Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN-Translational Medicine, Aachen, Germany
| | - Abed Al-Nasser Assi
- Department of Medical Imaging, Arab-American University Palestine (AAUP), Jenin, Palestine
| | - Jörg Felder
- Institute of Neuroscience and Medicine, INM-4, Jülich, Germany.,Department of Medical Imaging, Arab-American University Palestine (AAUP), Jenin, Palestine
| | - Nadim Jon Shah
- Institute of Neuroscience and Medicine, INM-4, Jülich, Germany.,JARA-BRAIN-Translational Medicine, Aachen, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany.,Institute of Neuroscience and Medicine, INM-11, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Tanja Veselinović
- Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Irene Neuner
- Institute of Neuroscience and Medicine, INM-4, Jülich, Germany.,Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN-Translational Medicine, Aachen, Germany
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16
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Guo X, Wang W, Kang L, Shu C, Bai H, Tu N, Bu L, Gao Y, Wang G, Liu Z. Abnormal degree centrality in first-episode medication-free adolescent depression at rest: A functional magnetic resonance imaging study and support vector machine analysis. Front Psychiatry 2022; 13:926292. [PMID: 36245889 PMCID: PMC9556654 DOI: 10.3389/fpsyt.2022.926292] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/28/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Depression in adolescents is more heterogeneous and less often diagnosed than depression in adults. At present, reliable approaches to differentiating between adolescents who are and are not affected by depression are lacking. This study was designed to assess voxel-level whole-brain functional connectivity changes associated with adolescent depression in an effort to define an imaging-based biomarker associated with this condition. MATERIALS AND METHODS In total, 71 adolescents affected by major depressive disorder (MDD) and 71 age-, sex-, and education level-matched healthy controls were subjected to resting-state functional magnetic resonance imaging (rs-fMRI) based analyses of brain voxel-wise degree centrality (DC), with a support vector machine (SVM) being used for pattern classification analyses. RESULTS DC patterns derived from 16-min rs-fMRI analyses were able to effectively differentiate between adolescent MDD patients and healthy controls with 95.1% accuracy (136/143), and with respective sensitivity and specificity values of 92.1% (70/76) and 98.5% (66/67) based upon DC abnormalities detected in the right cerebellum. Specifically, increased DC was evident in the bilateral insula and left lingual area of MDD patients, together with reductions in the DC values in the right cerebellum and bilateral superior parietal lobe. DC values were not significantly correlated with disease severity or duration in these patients following correction for multiple comparisons. CONCLUSION These results suggest that whole-brain network centrality abnormalities may be present in many brain regions in adolescent depression patients. Accordingly, these DC maps may hold value as candidate neuroimaging biomarkers capable of differentiating between adolescents who are and are not affected by MDD, although further validation of these results will be critical.
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Affiliation(s)
- Xin Guo
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.,Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, United Kingdom
| | - Wei Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Lijun Kang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Chang Shu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Hanpin Bai
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Ning Tu
- PET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Lihong Bu
- PET/CT/MRI and Molecular Imaging Center, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Yujun Gao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
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17
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Liu Y, Lai CH. The alterations of degree centrality in the frontal lobe of patients with panic disorder. Int J Med Sci 2022; 19:105-111. [PMID: 34975304 PMCID: PMC8692120 DOI: 10.7150/ijms.65367] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 11/02/2021] [Indexed: 01/10/2023] Open
Abstract
Objective: The brain network in panic disorder (PD) is still an intriguing issue for research. In this study, we hoped to investigate the role of DC (degree centrality) for the pathophysiology of PD, especially for the fear network. Methods: We enrolled 60 patients with PD and 60 controls in the current study. The gender and age were matched for two groups. All participants received the resting-state functional magnetic resonance imaging to survey the baseline brain activity. Then the DC values of all participants were using REST toolbox. We also compared the DC values between PD and controls. The statistical threshold was set as FDR (false discovery rate) < 0.05. Results: The DC values were significantly lower in the right superior frontal gyrus of PD patients compared to controls (FDR < 0.05). In addition, a negative correlation between the DC values and panic severity was observed in the right superior frontal gyrus and left inferior frontal gyrus. However, there was no significant association between the DC values and illness duration. Conclusion: The DC seemed significantly altered in the frontal lobe of PD patients. The role of the frontal lobe might be more emphasized in the pathophysiology research for PD.
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Affiliation(s)
- Yongbao Liu
- Department of Imaging, The First People's Hospital of LianYun Gang, Lianyungang City, Jiangsu Province, 222000, China
| | - Chien-Han Lai
- Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan.,PhD Psychiatry & Neuroscience Clinic, Taoyuan, Taiwan
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18
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Dynamics of task-induced modulation of spontaneous brain activity and functional connectivity in the triple resting-state networks assessed using the visual oddball paradigm. PLoS One 2021; 16:e0246709. [PMID: 34735449 PMCID: PMC8568109 DOI: 10.1371/journal.pone.0246709] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 10/16/2021] [Indexed: 11/19/2022] Open
Abstract
The default mode network (DMN), the salience network (SN), and the central executive network (CEN) are considered as the core resting-state brain networks (RSN) due to their involvement in a wide range of cognitive tasks. Despite the large body of knowledge related to their regional spontaneous activity (RSA) and functional connectivity (FC) of these networks, less is known about the dynamics of the task-associated modulation on these parameters and the task-induced interaction between these three networks. We have investigated the effects of the visual-oddball paradigm on three fMRI measures (amplitude of low-frequency fluctuations for RSA, regional homogeneity for local FC, and degree centrality for global FC) in these three core RSN. A rest-task-rest paradigm was used and the RSNs were identified using independent component analysis (ICA) on the resting-state data. The observed patterns of change differed noticeably between the networks and were tightly associated with the task-related brain activity and the distinct involvement of the networks in the performance of the single subtasks. Furthermore, the inter-network analysis showed an increased synchronization of CEN with the DMN and the SN immediately after the task, but not between the DMN and SN. Higher pre-task inter-network synchronization between the DMN and the CEN was associated with shorter reaction times and thus better performance. Our results provide some additional insights into the dynamics within and between the triple RSN. Further investigations are required in order to understand better their functional importance and interplay.
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19
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Cortico-striatal-thalamic loop as a neural correlate of neuroticism in the mind-body interface. J Psychosom Res 2021; 149:110590. [PMID: 34385032 DOI: 10.1016/j.jpsychores.2021.110590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 07/26/2021] [Accepted: 07/28/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Although brain structural studies have demonstrated the neural correlates of neuroticism, the outcomes are not easily identified because of the various possible brain regions involved, low statistical power (low number of subjects), and brain structural measures available, such as mean diffusivity (MD), which are more suitable than standard regional measures of grey and white-matter volume (rGMV, rWMV) and fractional anisotropy (FA). We hypothesized that neuroticism neural correlates could be detected by MD and differentially identified using other measures. We aimed to visualize the neural correlates of neuroticism. METHODS A voxel-by-voxel regression analysis was performed using the MD, rGMV, rWMV, or FA value as the dependent variable and with neuroticism scores based on the NEO-FFI and its confounding factors as independent variables in 1207 (693 men and 514 women; age, 20.7 ± 1.8, 18-27 years), non-clinical students in a cross-sectional study. RESULTS MD in the cortico- (orbitofrontal cortex, anterior cingulate cortex, and posterior insula) striatal- (caudate and putamen) thalamic loop regions, including the right posterior limb of the internal capsule, were positively associated with neuroticism using the threshold-free cluster enhancement method with a family-wise error-corrected threshold of P < 0.0125 (0.05/4, Bonferroni correction for four types of MRI data [MD, rGMV, rWMV, and FA]) at the whole-brain level. CONCLUSIONS An increased MD has generally been associated with reduced neural tissues and possibly area function. Accordingly, this finding helps elucidate the mechanism of somatization in neuroticism because the regions related to neuroticism are considered neural correlates of somatoform disorders.
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20
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Veselinović T, Rajkumar R, Amort L, Junger J, Shah NJ, Fimm B, Neuner I. Connectivity Patterns in the Core Resting-State Networks and Their Influence on Cognition. Brain Connect 2021; 12:334-347. [PMID: 34182786 DOI: 10.1089/brain.2020.0943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Introduction: Three prominent resting-state networks (rsNW) (default mode network [DMN], salience network [SN], and central executive network [CEN]) are recognized for their important role in several neuropsychiatric conditions. However, our understanding of their relevance in terms of cognition remains insufficient. Materials and Methods: In response, this study aims at investigating the patterns of different network properties (resting-state activity [RSA] and short- and long-range functional connectivity [FC]) in these three core rsNWs, as well as the dynamics of age-associated changes and their relation to cognitive performance in a sample of healthy controls (N = 74) covering a large age span (20-79 years). Using a whole-network based approach, three measures were calculated from the functional magnetic resonance imaging (fMRI) data: amplitude of low-frequency fluctuations (ALFF), regional homogeneity (ReHo), and degree of network centrality (DC). The cognitive test battery covered the following domains: memory, executive functioning, processing speed, attention, and visual perception. Results: For all three fMRI measures (ALFF, ReHo, and DC), the highest values of spontaneous brain activity (ALFF), short- and long-range connectivity (ReHo, DC) were observed in the DMN and the lowest in the SN. Significant age-associated decrease was observed in the DMN for ALFF and DC, and in the SN for ALFF and ReHo. Significant negative partial correlations were observed for working memory and ALFF in all three networks, as well as for additional cognitive parameters and ALFF in CEN. Discussion: Our results show that higher RSA in the three core rsNWs may have an unfavorable effect on cognition. Conversely, the pattern of network properties in healthy subjects included low RSA and FC in the SN. This complements previous research related to the three core rsNW and shows that the chosen approach can provide additional insight into their function.
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Affiliation(s)
- Tanja Veselinović
- Department of Psychiatry, Psychotherapy and Psychosomatics and RWTH Aachen University, Aachen, Germany
| | - Ravichandran Rajkumar
- Department of Psychiatry, Psychotherapy and Psychosomatics and RWTH Aachen University, Aachen, Germany.,JARA-BRAIN-Translational Medicine, Aachen, Germany.,Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany
| | | | - Jessica Junger
- Department of Psychiatry, Psychotherapy and Psychosomatics and RWTH Aachen University, Aachen, Germany
| | - Nadim Jon Shah
- JARA-BRAIN-Translational Medicine, Aachen, Germany.,Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany.,Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
| | - Bruno Fimm
- JARA-BRAIN-Translational Medicine, Aachen, Germany
| | - Irene Neuner
- Department of Psychiatry, Psychotherapy and Psychosomatics and RWTH Aachen University, Aachen, Germany.,JARA-BRAIN-Translational Medicine, Aachen, Germany.,Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany
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21
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Nozawa T, Ikeda S, Yokota S, Daniele M, Sassa Y, Kawashima R. Lead exposure is associated with functional and microstructural changes in the healthy human brain. Commun Biol 2021; 4:912. [PMID: 34312468 PMCID: PMC8313694 DOI: 10.1038/s42003-021-02435-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 07/06/2021] [Indexed: 02/07/2023] Open
Abstract
Lead is a toxin known to harm many organs in the body, particularly the central nervous system, across an individual's lifespan. To date, no study has yet investigated the associations between body lead level and the microstructural properties of gray matter areas, and brain activity during attention-demanding tasks. Here, utilizing data of diffusion tensor imaging, functional magnetic resonance imaging and cognitive measures among 920 typically developing young adults, we show greater hair lead levels are weakly but significantly associated with (a) increased working memory-related activity in the right premotor and pre-supplemental motor areas, (b) lower fractional anisotropy (FA) in white matter areas near the internal capsule, (c) lower mean diffusivity (MD) in the dopaminergic system in the left hemisphere and other widespread contingent areas, and (d) greater MD in the white matter area adjacent to the right fusiform gyrus. Higher lead levels were also weakly but significantly associated with lower performance in tests of high-order cognitive functions, such as the psychometric intelligence test, greater impulsivity measures, and higher novelty seeking and extraversion. These findings reflect the weak effect of daily lead level on the excitability and microstructural properties of the brain, particularly in the dopaminergic system.
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Affiliation(s)
- Hikaru Takeuchi
- grid.69566.3a0000 0001 2248 6943Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- grid.69566.3a0000 0001 2248 6943Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- grid.69566.3a0000 0001 2248 6943Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryoichi Yokoyama
- grid.31432.370000 0001 1092 3077School of Medicine, Kobe University, Kobe, Japan
| | - Yuka Kotozaki
- grid.411582.b0000 0001 1017 9540Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- grid.69566.3a0000 0001 2248 6943Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan ,grid.412755.00000 0001 2166 7427Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Atsushi Sekiguchi
- grid.69566.3a0000 0001 2248 6943Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.419280.60000 0004 1763 8916Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kunio Iizuka
- grid.69566.3a0000 0001 2248 6943Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sugiko Hanawa
- grid.69566.3a0000 0001 2248 6943Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Carlos Makoto Miyauchi
- grid.69566.3a0000 0001 2248 6943Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kohei Sakaki
- grid.69566.3a0000 0001 2248 6943Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Takayuki Nozawa
- grid.32197.3e0000 0001 2179 2105Research Institute for the Earth Inclusive Sensing, Tokyo Institute of Technology, Tokyo, Japan
| | - Shigeyuki Ikeda
- grid.69566.3a0000 0001 2248 6943Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Susum Yokota
- grid.177174.30000 0001 2242 4849Division for Experimental Natural Science, Faculty of Arts and Science, Kyushu University, Fukuoka, Japan
| | - Magistro Daniele
- grid.12361.370000 0001 0727 0669Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Yuko Sassa
- grid.69566.3a0000 0001 2248 6943Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- grid.69566.3a0000 0001 2248 6943Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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22
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Zhou J, Li K, Luo X, Zeng Q, Jiaerken Y, Wang S, Xu X, Liu X, Li Z, Zhang T, Fu Y, Zhao S, Huang P, Zhang M. Distinct impaired patterns of intrinsic functional network centrality in patients with early- and late-onset Alzheimer's disease. Brain Imaging Behav 2021; 15:2661-2670. [PMID: 33844192 DOI: 10.1007/s11682-021-00470-3] [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: 11/04/2019] [Accepted: 03/04/2021] [Indexed: 10/21/2022]
Abstract
Early-onset Alzheimer's disease (EOAD) involves multiple cognitive domains and shows more rapid progression than late-onset Alzheimer's disease (LOAD). However, the difference in pathogenesis between EOAD and LOAD is still unclear. Accordingly, we applied intrinsic network analysis to explore the potential neuropathological mechanism underlying distinct clinical phenotypes. According to the cut-off age of 65, we included 20 EOAD patients, 20 LOAD patients, and 36 age-matched controls (19 young and 17 old controls). We employed resting-state functional MRI and network centrality analysis to explore the local (degree centrality (DC)) and global (eigenvector centrality (EC)) functional integrity. Two-sample t-test analysis was performed, with gray matter volume, age, gender, and education as covariates. Furthermore, we performed a correlation analysis between network metrics and cognition. Compared to young controls, EOAD patients exhibited lower DC in the middle temporal gyrus (MTG), parahippocampal gyrus (PHG), superior temporal gyrus (STG), and lower EC in the MTG, PHG, and postcentral gyrus. In contrast, LOAD patients exhibited lower DC in the STG and anterior cingulum gyrus and higher DC in the middle frontal gyrus compared to old controls. No significant difference in EC was observed in LOAD patients. Furthermore, both DC and EC correlated with cognitive performance. Our study demonstrated divergent functional network impairments in EOAD and LOAD patients. EOAD patients showed more complex network damage involving both local and global centrality properties, while LOAD patients mainly featured local functional connectivity changes. Such centrality impairments are related to poor cognition, especially regarding memory performance.
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Affiliation(s)
- Jiong Zhou
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009, China
| | - Xiao Luo
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009, China
| | - Qingze Zeng
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009, China
| | - Yerfan Jiaerken
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009, China
| | - Shuyue Wang
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009, China
| | - Xiaopei Xu
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009, China
| | - Xiaocao Liu
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009, China
| | - Zheyu Li
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Tianyi Zhang
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yanv Fu
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Shuai Zhao
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009, China.
| | - Minming Zhang
- Department of Radiology, The 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009, China.
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23
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Zhang Y, Huang G, Liu M, Li M, Wang Z, Wang R, Yang D. Functional and structural connective disturbance of the primary and default network in patients with generalized tonic-clonic seizures. Epilepsy Res 2021; 174:106595. [PMID: 33993017 DOI: 10.1016/j.eplepsyres.2021.106595] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 02/20/2021] [Accepted: 02/23/2021] [Indexed: 01/27/2023]
Abstract
OBJECTIVE The present study aims to investigate the disturbance of functional and structural profiles of patients with generalized tonic-clonic seizures (GTCS). METHODS Resting-state fMRI and diffusion tensor imaging (DTI) data was collected from fifty-six patients and sixty-two healthy controls. Degree centrality (DC) of functional connectivity was first calculated and compared between groups using a two-sample t-test. Furthermore, the regions with significant alteration of DC in patients with GTCS were used as nodes to construct the brain network. Functional connectivity (FC) network was constructed using the Person's correlation analysis and structural connectivity (SC) network was obtained using deterministic tractography technology. Gray matter volume (GMV) and cortical thickness (CT) were computed and correlated with connective profiles. RESULTS The patients with GTCS showed increased DC in the primary network (PN), including bilateral precentral gyrus, supplementary motor areas (SMA), and visual cortex, and decreased DC in core regions of default mode network (DMN), bilateral anterior insular, and supramarginal gyrus. In the present study, 14 regions were identified to construct networks. In patients, the FC and SC were increased within the sensorimotor network (mainly linking with SMA) and decreased within DMN (mainly linking with the posterior cingulate cortex (PCC)). Except for the decreased FC and SC between cerebellum and SMA, patients demonstrated increased connectivity between DMN and PN. Besides, the insula demonstrated decreased FC with DMN and increased FC with PN, without significant SC alterations in patients with GTCS. Decreased GMV in bilateral thalamus and increased GMV in frontoparietal regions were found in patients. The decreased GMV of thalamus and increased GMV of SMA positively and negatively correlated with the FC between PCC and left superior frontal cortex, the FC between SMA and left precuneus respectively. CONCLUSION Hyper-connectivity within PN helps to understand the disturbance of primary functions, especially the motor abnormality in GTCS. The hypo-connectivity within DMN suggested abnormal network organization possibly related to epileptogenesis. Moreover, over-interaction between DMN and PN and unbalanced connectivity between them and insula provided potential evidence reflecting abnormal interactions between primary and high-order function systems.
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Affiliation(s)
- Yaodan Zhang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, PR China; Chengdu University of Traditional Chinese Medicine Affiliated Fifth People's Hospital, Chengdu, PR China
| | - Gengzhen Huang
- School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, PR China
| | - Meijun Liu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, PR China
| | - Mao Li
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, PR China
| | - Zhiqiang Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, PR China
| | - Rongyu Wang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, PR China
| | - Dongdong Yang
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, PR China.
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24
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Sassa Y, Nozawa T, Ikeda S, Yokota S, Magistro D, Kawashima R. General Intelligence Is Associated with Working Memory-Related Functional Connectivity Change: Evidence from a Large-Sample Study. Brain Connect 2021; 11:89-102. [PMID: 33317391 DOI: 10.1089/brain.2020.0769] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background/Purpose: Psychometric intelligence is closely related to working memory (WM) and the associated brain activity. We aimed to clarify the associations between psychometric intelligence and WM-induced functional connectivity changes. Materials and Methods: Here we determined the associations between psychometric intelligence measured by nonverbal reasoning (using the Raven's Advanced Progressive Matrices) and WM-induced changes in functional connectivity during the N-back paradigm, in a large cohort of 1221 young adults. Results: We observed that the measures of general intelligence showed a significant positive correlation with WM-induced changes in the functional connectivity with the key nodes of the frontoparietal network, such as the bilateral premotor cortices and the presupplementary motor area. Those significant correlations were observed for (1) areas showing a WM-induced increase of the functional connectivity with the abovementioned key nodes, such as the lateral parietal cortex; (2) areas showing a WM-induced decrease of the functional connectivity with the abovementioned key nodes (2-a) such as left perisylvian areas and cuneus, the fusiform gyrus, and the lingual gyrus, which play key roles in language processing, (2-b) hippocampus and parahippocampal gyrus, which play key roles in memory processing, and (2-c) the key node of the default mode network such as the medial prefrontal cortex; as well as (3) the border areas between (1) and (2). Conclusion: Psychometric intelligence is associated with WM-induced changes in functional connectivity, influencing the way in which WM key nodes dynamically modulate the interaction with other brain nodes in response to WM.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan.,Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.,Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Yuka Kotozaki
- Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Tsuyoshi Araki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Carlos Makoto Miyauchi
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kohei Sakaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Takayuki Nozawa
- Research Center for the Earth Inclusive Sensing Empathizing with Silent Voices, Tokyo Institute of Technology, Tokyo, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Susumu Yokota
- Faculty of Arts and Science, Kyushu University, Fukuoka, Japan
| | - Daniele Magistro
- Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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25
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Succeeding in deactivating: associations of hair zinc levels with functional and structural neural mechanisms. Sci Rep 2020; 10:12364. [PMID: 32704167 PMCID: PMC7378227 DOI: 10.1038/s41598-020-69277-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 05/26/2020] [Indexed: 12/15/2022] Open
Abstract
Zinc is a biologically essential element and involved in a wide range of cellular processes. Here, we investigated the associations of zinc levels in hair with brain activity during the n-back working memory task using functional magnetic resonance imaging, fractional anisotropy (FA) of diffusion tensor imaging, and cognitive differences in a study cohort of 924 healthy young adults. Our findings showed that greater hair zinc levels were associated with lower brain activity during working memory in extensive areas in the default mode network (i.e., greater task-induced deactivation) as well as greater FA in white matter areas near the hippocampus and posterior limbs of the internal capsule. These findings advance previous non-neuroimaging findings of zinc's associations with excitability, excitability-associated disorders, and myelination.
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26
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ElShafei HA, Fornoni L, Masson R, Bertrand O, Bidet-Caulet A. Age-related modulations of alpha and gamma brain activities underlying anticipation and distraction. PLoS One 2020; 15:e0229334. [PMID: 32163441 PMCID: PMC7067396 DOI: 10.1371/journal.pone.0229334] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Accepted: 02/04/2020] [Indexed: 01/10/2023] Open
Abstract
Attention operates through top-down (TD) and bottom-up (BU) mechanisms. Recently, it has been shown that slow (alpha) frequencies index facilitatory and suppressive mechanisms of TD attention and faster (gamma) frequencies signal BU attentional capture. Ageing is characterized by increased behavioral distractibility, resulting from either a reduced efficiency of TD attention or an enhanced triggering of BU attention. However, only few studies have investigated the impact of ageing upon the oscillatory activities involved in TD and BU attention. MEG data were collected from 14 elderly and 14 matched young healthy human participants while performing the Competitive Attention Task. Elderly participants displayed (1) exacerbated behavioral distractibility, (2) altered TD suppressive mechanisms, indexed by a reduced alpha synchronization in task-irrelevant regions, (3) less prominent alpha peak-frequency differences between cortical regions, (4) a similar BU system activation indexed by gamma activity, and (5) a reduced activation of lateral prefrontal inhibitory control regions. These results show that the ageing-related increased distractibility is of TD origin.
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Affiliation(s)
- Hesham A. ElShafei
- Brain Dynamics and Cognition Team, Lyon Neuroscience Research Center, CRNL, INSERM U1028, CNRS UMR5292, University of Lyon 1, Université de Lyon, Lyon, France
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
- * E-mail:
| | - Lesly Fornoni
- Brain Dynamics and Cognition Team, Lyon Neuroscience Research Center, CRNL, INSERM U1028, CNRS UMR5292, University of Lyon 1, Université de Lyon, Lyon, France
| | - Rémy Masson
- Brain Dynamics and Cognition Team, Lyon Neuroscience Research Center, CRNL, INSERM U1028, CNRS UMR5292, University of Lyon 1, Université de Lyon, Lyon, France
| | - Olivier Bertrand
- Brain Dynamics and Cognition Team, Lyon Neuroscience Research Center, CRNL, INSERM U1028, CNRS UMR5292, University of Lyon 1, Université de Lyon, Lyon, France
| | - Aurélie Bidet-Caulet
- Brain Dynamics and Cognition Team, Lyon Neuroscience Research Center, CRNL, INSERM U1028, CNRS UMR5292, University of Lyon 1, Université de Lyon, Lyon, France
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27
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Yamamoto Y, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Sassa Y, Nozawa T, Ikeda S, Yokota S, Daniele M, Kawashima R. Mean diffusivity associated with trait emotional intelligence. Soc Cogn Affect Neurosci 2020; 14:871-883. [PMID: 31593230 PMCID: PMC6847659 DOI: 10.1093/scan/nsz059] [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: 12/04/2018] [Revised: 07/03/2019] [Accepted: 07/10/2019] [Indexed: 11/21/2022] Open
Abstract
Previous neuroimaging studies have suggested that the neural bases of trait emotional intelligence (TEI) lie in the social cognition network (SCN) and the somatic marker circuitry (SMC). The current study was the first to investigate the associations of total TEI factors and subfactors with mean diffusivity (MD) of these networks as well as regional MD of the dopaminergic system (MDDS). We found that TEI intrapersonal factor score and total TEI score were negatively correlated with regional MDDS in the vicinity of the right putamen and right pallidum and that TEI intrapersonal factor score was negatively correlated with MD values of the fusiform gyrus. Total TEI score and TEI factor scores were positively correlated with MD values of various areas within or adjacent to SCN components, SMC structures and the lateral prefrontal cortex (LPFC). Our MD findings demonstrated the importance of the dopaminergic system to TEI and implicate the SCN, SMC and LPFC in TEI. Future studies are required to investigate the implications of positive and negative associations with MD values.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Yasuyuki Taki
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8575, Japan.,Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai 980-8575, Japan.,Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai 980-8575, Japan.,Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | | | - Yuka Kotozaki
- Division of Clinical Research, Medical-Industry Translational Research Center, School of Medicine, Fukushima Medical University, Fukushima 960-1925, Japan
| | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.,Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai 983-8536, Japan
| | - Atsushi Sekiguchi
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo 187-8553, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan
| | - Yuki Yamamoto
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Tsuyoshi Araki
- Advantage Risk Management Co., Ltd, Tokyo 153-0051, Japan
| | - Carlos Makoto Miyauchi
- Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo 192-0397, Japan
| | - Kohei Sakaki
- Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Takayuki Nozawa
- Research Center for the Earth Inclusive Sensing Empathizing with Silent Voices, Tokyo Institute of Technology, Tokyo 152-8550, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Susumu Yokota
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Magistro Daniele
- Research Center for the Earth Inclusive Sensing Empathizing with Silent Voices, Tokyo Institute of Technology, Tokyo 152-8550, Japan.,Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.,Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK, NG11 8NS
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.,Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.,Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo 192-0397, Japan
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28
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Yamamoto Y, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Nozawa T, Ikeda S, Yokota S, Daniele M, Sassa Y, Kawashima R. Association of iron levels in hair with brain structures and functions in young adults. J Trace Elem Med Biol 2020; 58:126436. [PMID: 31760327 DOI: 10.1016/j.jtemb.2019.126436] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Revised: 11/02/2019] [Accepted: 11/12/2019] [Indexed: 11/18/2022]
Abstract
BACKGROUND Iron plays a critical role in normal brain functions and development, but it has also been known to have adverse neurological effects. METHODS Here, we investigated the associations of iron levels in hair with regional gray matter volume (rGMV), regional cerebral blood flow (rCBF), fractional anisotropy (FA), mean diffusivity (MD), and cognitive differences in a study cohort of 590 healthy young adults. RESULTS Our findings showed that high iron levels were associated with lower rGMV in areas including the hippocampus, lower rCBF in the anterior and posterior parts of the brain, greater FA in areas including the part of the splenium of the corpus callosum, lower MD in the overlapping area including the splenium of the corpus callosum, as well as greater MD in the left hippocampus and areas including the frontal lobe. CONCLUSION These results are compatible with the notion that iron plays diverse roles in neural mechanisms in healthy young adults.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan; Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan; Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Yuka Kotozaki
- Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yuki Yamamoto
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Carlos Makoto Miyauchi
- Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo, Japan
| | - Kohei Sakaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Takayuki Nozawa
- Research Center for the Earth Inclusive Sensing Empathizing with Silent Voices, Tokyo Institute of Technology, Tokyo, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Susumu Yokota
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Magistro Daniele
- Department of Sport Science, School of Science and Technology, Nottingham Trent University, Clifton, Nottingham, United Kingdom
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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29
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Nakagawa S, Takeuchi H, Taki Y, Nouchi R, Kotozaki Y, Shinada T, Maruyama T, Sekiguchi A, Iizuka K, Yokoyama R, Yamamoto Y, Hanawa S, Araki T, Makoto Miyauchi C, Magistro D, Sakaki K, Jeong H, Sasaki Y, Kawashima R. Mean diffusivity related to rule-breaking guilt: the Macbeth effect in the sensorimotor regions. Sci Rep 2019; 9:12227. [PMID: 31439852 PMCID: PMC6706442 DOI: 10.1038/s41598-019-48654-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 08/07/2019] [Indexed: 11/17/2022] Open
Abstract
Guilt, a self-conscious emotion, includes self-focused role taking and also correlates with other-oriented role-taking. Excess guilt proneness might be relevant to obsessive compulsive disorders. The white matter (WM) neural correlates of the degree of guilt have not yet been determined. We hypothesized that the WM structures involved in feelings of guilt are associated with social and moral cognition (inferior parietal lobule [IPL], prefrontal cortex [PFC], and cingulate), and aimed to visualize this using diffusion MRI. We investigated the association between regional WM structures (WM volume, and fractional anisotropy, and mean diffusivity [MD]), and feelings of guilt in 1196 healthy, young students using MRI and the Guilty Feeling Scale, which comprises interpersonal situation (IPS; guilt from hurting friends) and rule-breaking situation (RBS; deontological guilt) scores. The primary novel finding presented here is that MD in the right somatosensory and motor cortices from arm to hand were positively correlated with RBS scores. Further, consistent with our hypothesis, RBS scores were positively correlated with MD in the same regions. These results would be predicted by the Macbeth effect, an obsession with dirt leading to hand-washing rituals resulting from guilt, made famous by the Shakespearian character Lady Macbeth. “What, will these hands ne’er be clean?” William Shakespeare (Shakespeare, 1606) Macbeth.
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Affiliation(s)
- Seishu Nakagawa
- Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan. .,Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
| | - Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Nuclear Medicine and Radiology, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science (FRIS), Tohoku University, Sendai, Japan.,Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Yuka Kotozaki
- Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Takamitsu Shinada
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Tsukasa Maruyama
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | | | - Yuki Yamamoto
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | | | - Carlos Makoto Miyauchi
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo, Japan
| | - Daniele Magistro
- Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom
| | - Kohei Sakaki
- Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hyeonjeong Jeong
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan
| | - Yukako Sasaki
- Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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30
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Salvia E, Tissier C, Charron S, Herent P, Vidal J, Lion S, Cassotti M, Oppenheim C, Houdé O, Borst G, Cachia A. The local properties of bold signal fluctuations at rest monitor inhibitory control training in adolescents. Dev Cogn Neurosci 2019; 38:100664. [PMID: 31158801 PMCID: PMC6969344 DOI: 10.1016/j.dcn.2019.100664] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Revised: 05/16/2019] [Accepted: 05/18/2019] [Indexed: 11/26/2022] Open
Abstract
Inhibitory control (IC) plays a critical role in cognitive and socio-emotional development. Short-term IC training improves IC abilities in children and adults. Surprisingly, few studies have investigated the IC training effect during adolescence, a developmental period characterized by high neuroplasticity and the protracted development of IC abilities. We investigated behavioural and functional brain changes induced by a 5-week computerized and adaptive IC training in adolescents. We focused on the IC training effects on the local properties of functional Magnetic Resonance Imaging (fMRI) signal fluctuations at rest (i.e., Regional Homogeneity [ReHo] and fractional Amplitude of Low Frequency Fluctuations [fALFF]). Sixty adolescents were randomly assigned to either an IC or an active control training group. In the pre- and post-training sessions, cognitive ('Cool') and emotional ('Hot') IC abilities were assessed using the Colour-Word and Emotional Stroop tasks. We found that ReHo and fALFF signals in IC areas (IFG, ACC, Striatum) were associated with IC efficiency at baseline. This association was different for Cool and Hot IC. Analyses also revealed that ReHo and fALFF signals were sensitive markers to detect and monitor changes after IC training, while behavioural data did not, suggesting that brain functional changes at rest precede behavioural changes following training.
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Affiliation(s)
- Emilie Salvia
- Université de Paris, LaPsyDÉ, CNRS, F-75005 Paris, France.
| | - Cloélia Tissier
- Université de Paris, LaPsyDÉ, CNRS, F-75005 Paris, France; Université de Paris, IPNP, INSERM, F-75005 Paris, France
| | - Sylvain Charron
- Université de Paris, LaPsyDÉ, CNRS, F-75005 Paris, France; Université de Paris, IPNP, INSERM, F-75005 Paris, France
| | - Paul Herent
- Université de Paris, LaPsyDÉ, CNRS, F-75005 Paris, France
| | - Julie Vidal
- Université de Paris, LaPsyDÉ, CNRS, F-75005 Paris, France
| | - Stéphanie Lion
- Université de Paris, IPNP, INSERM, F-75005 Paris, France
| | - Mathieu Cassotti
- Université de Paris, LaPsyDÉ, CNRS, F-75005 Paris, France; Institut Universitaire de France, Paris, France
| | | | - Olivier Houdé
- Université de Paris, LaPsyDÉ, CNRS, F-75005 Paris, France; Institut Universitaire de France, Paris, France
| | - Grégoire Borst
- Université de Paris, LaPsyDÉ, CNRS, F-75005 Paris, France; Institut Universitaire de France, Paris, France
| | - Arnaud Cachia
- Université de Paris, LaPsyDÉ, CNRS, F-75005 Paris, France; Institut Universitaire de France, Paris, France
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31
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Shang J, Fisher P, Bäuml JG, Daamen M, Baumann N, Zimmer C, Bartmann P, Boecker H, Wolke D, Sorg C, Koutsouleris N, Dwyer DB. A machine learning investigation of volumetric and functional MRI abnormalities in adults born preterm. Hum Brain Mapp 2019; 40:4239-4252. [PMID: 31228329 DOI: 10.1002/hbm.24698] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 05/28/2019] [Accepted: 05/31/2019] [Indexed: 01/10/2023] Open
Abstract
Imaging studies have characterized functional and structural brain abnormalities in adults after premature birth, but these investigations have mostly used univariate methods that do not account for hypothesized interdependencies between brain regions or quantify accuracy in identifying individuals. To overcome these limitations, we used multivariate machine learning to identify gray matter volume (GMV) and amplitude of low frequency fluctuations (ALFF) brain patterns that best classify young adults born very preterm/very low birth weight (VP/VLBW; n = 94) from those born full-term (FT; n = 92). We then compared the spatial maps of the structural and functional brain signatures and validated them by assessing associations with clinical birth history and basic cognitive variables. Premature birth could be predicted with a balanced accuracy of 80.7% using GMV and 77.4% using ALFF. GMV predictions were mediated by a pattern of subcortical and middle temporal reductions and volumetric increases of the lateral prefrontal, medial prefrontal, and superior temporal gyrus regions. ALFF predictions were characterized by a pattern including increases in the thalamus, pre- and post-central gyri, and parietal lobes, in addition to decreases in the superior temporal gyri bilaterally. Decision scores from each classification, assessing the degree to which an individual was classified as a VP/VLBW case, were predicted by the number of days in neonatal hospitalization and birth weight. ALFF decision scores also contributed to the prediction of general IQ, which highlighted their potential clinical significance. Combined, the results clarified previous research and suggested that primary subcortical and temporal damage may be accompanied by disrupted neurodevelopment of the cortex.
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Affiliation(s)
- Jing Shang
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany.,TUM-NIC Neuroimaging Center, Technische Universität München
| | - Paul Fisher
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Josef G Bäuml
- TUM-NIC Neuroimaging Center, Technische Universität München.,Department of Neuroradiology, Klinikum rechts der Isar and Technische Universität München, Munich, Germany
| | - Marcel Daamen
- Department of Neonatology, University Hospital Bonn, Bonn, Germany.,Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Nicole Baumann
- Department of Psychology, University of Warwick, Coventry, United Kingdom
| | - Claus Zimmer
- Department of Neuroradiology, Klinikum rechts der Isar and Technische Universität München, Munich, Germany
| | - Peter Bartmann
- Department of Neonatology, University Hospital Bonn, Bonn, Germany
| | - Henning Boecker
- Functional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Bonn, Germany
| | - Dieter Wolke
- Department of Psychology, University of Warwick, Coventry, United Kingdom.,Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Christian Sorg
- TUM-NIC Neuroimaging Center, Technische Universität München.,Department of Neuroradiology, Klinikum rechts der Isar and Technische Universität München, Munich, Germany.,Department of Psychiatry, Klinikum rechts der Isar and Technische Universität München, Munich, Germany
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Dominic B Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
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32
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Abstract
Empathizing is defined as “the drive to identify another’s mental states and to respond to these with an appropriate emotion” and systemizing is defined as “the drive to the drive to analyze and construct rule-based systems”. While mean diffusivity (MD) has been robustly associated with several cognitive traits and disorders related with empathizing and systemizing, its direct correlation with empathizing and systemizing remains to be investigated. We undertook voxel-by-voxel investigations of regional MD to discover microstructural correlates of empathizing, systemizing, and the discrepancy between them (D score: systemizing − empathizing). Whole-brain analyses of covariance revealed that across both sexes, empathizing was positively correlated with MD of (a) an anatomical cluster that primarily spreads in the areas in and adjacent to the left dorsolateral prefrontal cortex, left anterior to the middle cingulate cortex, and left insula and (b) an anatomical cluster of the left postcentral gyrus and left rolandic operculum. The former overlaps with positive MD correlates of cooperativeness. The D score and systemizing did not show significant correlations. In conclusion, while increased MD has generally been associated with reduced neural tissues and possibly area function, higher empathizing and cooperativeness were commonly reflected by greater MD values in areas (a) that mainly overlap with areas that play a key role in emotional salience and empathy. In addition, higher empathizing was correlated with greater MD values in areas (b) that play a key role in the mirror neuron system.
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33
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Jiang C, Yi L, Cai S, Zhang L. Ischemic Stroke in Pontine and Corona Radiata: Location Specific Impairment of Neural Network Investigated With Resting State fMRI. Front Neurol 2019; 10:575. [PMID: 31214111 PMCID: PMC6554416 DOI: 10.3389/fneur.2019.00575] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Accepted: 05/15/2019] [Indexed: 12/25/2022] Open
Abstract
Objective: This study aims to investigate location-specific functional remodeling following ischemic stroke in pons and corona radiata. Methods: This study was approved by the local Institutional Review Board. Written consent was obtained from each of the participants prior to the MRI examination. Thirty six subjects with first ever acute ischemic stroke in pons (PS, n = 15, aged 62.8 ± 11.01 years) or corona radiata (CRS, n = 21, aged 59.33 ± 13.84 years) as well as 30 age and sex matched healthy controls (HC, n = 30, aged 60 ± 6.43 years) were examined with resting state functional magnetic resonance imaging (rs-fMRI). Regional homogeneity (ReHo) and degree centrality (DC) were calculated using a voxel-based approach. Intergroup differences in ReHo and DC were explored using a permutation test with a threshold-free cluster enhancement (PT TFCE, number of permutations = 1,000, family-wise error rate (FWER) < 0.05). Results: ReHo and DC alterations were identified in distributed anatomies for both PS and CRS groups. DC mainly increased in the bilateral anterior and posterior cingulate cortex, the inferior frontal-orbital gyrus, and decreased in the bilateral cuneus, calcarine, and the precuneus, while ReHo mainly decreased in the precentral and the postcentral gyri, inferior parietal lobules, precuneus, posterior cingulate cortex, and the superior occipital gyrus. PS and CRS groups were not significantly different in ReHo or DC (FWER > 0.05). Conclusions: Focal ischemic stroke in pons or corona radiata leads to extensive alterations in the functional network centrality. IS-induced network remodeling is more anatomy-specific than pathway-specific, which may underpin the clinicotopographical profiles during the disease dynamic. Approaches targeting neural pathway and functional connectivity may shed light on a better characterization and management innovation of ischemic stroke.
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Affiliation(s)
- Chunxiang Jiang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.,Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China
| | - Li Yi
- Department of Neurology Peking University Shenzhen Hospital, Shenzhen, China
| | - Siqi Cai
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Lijuan Zhang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
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Ries A, Hollander M, Glim S, Meng C, Sorg C, Wohlschläger A. Frequency-Dependent Spatial Distribution of Functional Hubs in the Human Brain and Alterations in Major Depressive Disorder. Front Hum Neurosci 2019; 13:146. [PMID: 31156409 PMCID: PMC6527901 DOI: 10.3389/fnhum.2019.00146] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 04/16/2019] [Indexed: 12/28/2022] Open
Abstract
Alterations in large-scale brain intrinsic functional connectivity (FC), i.e., coherence between fluctuations of ongoing activity, have been implicated in major depressive disorder (MDD). Yet, little is known about the frequency-dependent alterations of FC in MDD. We calculated frequency specific degree centrality (DC) – a measure of overall FC of a brain region – within 10 distinct frequency sub-bands accessible from the full range of resting-state fMRI BOLD fluctuations (i.e., 0.01–0.25 Hz) in 24 healthy controls and 24 MDD patients. In healthy controls, results reveal a frequency-specific spatial distribution of highly connected brain regions – i.e., hubs – which play a fundamental role in information integration in the brain. MDD patients exhibited significant deviations from the healthy DC patterns, with decreased overall connectedness of widespread regions, in a frequency-specific manner. Decreased DC in MDD patients was observed predominantly in the occipital cortex at low frequencies (0.01–0.1 Hz), in the middle cingulate cortex, sensorimotor cortex, lateral parietal cortex, and the precuneus at middle frequencies (0.1–0.175 Hz), and in the anterior cingulate cortex at high frequencies (0.175–0.25 Hz). Additionally, decreased DC of distinct parts of the insula was observed across low, middle, and high frequency bands. Frequency-specific alterations in the DC of the temporal, insular, and lateral parietal cortices correlated with symptom severity. Importantly, our results indicate that frequency-resolved analysis within the full range of frequencies accessible from the BOLD signal – also including higher frequencies (>0.1 Hz) – reveals unique information about brain organization and its changes, which can otherwise be overlooked.
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Affiliation(s)
- Anja Ries
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany
| | - Matthew Hollander
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany
| | - Sarah Glim
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany.,Graduate School of Systemic Neurosciences, LMU Munich, Munich, Germany
| | - Chun Meng
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany.,Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Christian Sorg
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany.,Department of Psychiatry, Technical University of Munich (TUM), Munich, Germany
| | - Afra Wohlschläger
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany
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35
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Nakagawa S, Takeuchi H, Taki Y, Nouchi R, Kotozaki Y, Shinada T, Maruyama T, Sekiguchi A, Iizuka K, Yokoyama R, Yamamoto Y, Hanawa S, Araki T, Miyauchi CM, Magistro D, Sakaki K, Jeong H, Sasaki Y, Kawashima R. Mean diffusivity related to collectivism among university students in Japan. Sci Rep 2019; 9:1338. [PMID: 30718676 PMCID: PMC6362187 DOI: 10.1038/s41598-018-37995-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 12/18/2018] [Indexed: 11/17/2022] Open
Abstract
Collectivism is an important factor for coping with stress in one’s social life. To date, no imaging studies have revealed a direct association between collectivism and white matter structure. Collectivism is positively related to independence, harm avoidance, rejection sensitivity, cooperativeness, external locus of control, and self-monitoring and negatively related to need for uniqueness. Accordingly, we hypothesised that the neural structures underpinning collectivism are those that are also involved with its relationship using magnetic resonance imaging (MRI). This study aimed to identify the brain structures associated with collectivism in healthy young adults (n = 797), using regional grey and white matter volume, fractional anisotropy, and mean diffusivity (MD) analyses of MRI data. Scores on the collectivism scale were positively associated with MD values in the bilateral dorsolateral prefrontal cortex, left orbitofrontal cortex, inferior frontal gyrus, right superior temporal gyrus, ventral posterior cingulate cortex, globus pallidus, and calcarine cortex using the threshold-free cluster enhancement method with family-wise errors corrected to P < 0.05 at the whole-brain level. No significant associations between were found collectivism and other measures. Thus, the present findings supported our hypothesis that the neural correlates of collectivism are situated in regions involved in its related factors.
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Affiliation(s)
- Seishu Nakagawa
- Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan. .,Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.
| | - Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Nuclear Medicine and Radiology, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science (FRIS), Tohoku University, Sendai, Japan.,Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Yuka Kotozaki
- Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Takamitsu Shinada
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Tsukasa Maruyama
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | | | - Yuki Yamamoto
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan
| | | | - Carlos Makoto Miyauchi
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo, Japan
| | - Daniele Magistro
- Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Kohei Sakaki
- Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hyeonjeong Jeong
- Department of Human Brain Science, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan
| | - Yukako Sasaki
- Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Smart Ageing International Research Center, Institute of Development, Ageing and Cancer, Tohoku University, Sendai, Japan.,Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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36
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Association of copper levels in the hair with gray matter volume, mean diffusivity, and cognitive functions. Brain Struct Funct 2019; 224:1203-1217. [PMID: 30656448 DOI: 10.1007/s00429-019-01830-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 01/08/2019] [Indexed: 12/11/2022]
Abstract
Although copper plays a critical role in normal brain functions and development, it is known that excess copper causes toxicity. Here we investigated the associations of copper levels in the hair with regional gray matter volume (rGMV), mean diffusivity (MD), and cognitive differences in a study cohort of 924 healthy young adults. Our findings showed that high copper levels were associated mostly with low cognitive abilities (low scores on the intelligence test consisting of complex speed tasks, involving reasoning task, a complex arithmetic task, and a reading comprehension task) as well as lower reverse Stroop interference, high rGMV over widespread areas of the brain [mainly including the bilateral lateral and medial parietal cortices, medial temporal structures (amygdala, hippocampus, and parahippocampal gyrus), middle cingulate cortex, orbitofrontal cortex, insula, perisylvian areas, inferior temporal lobe, temporal pole, occipital lobes, and supplementary motor area], as well as high MD of the right substantia nigra and bilateral hippocampus, which are indicative of low density in brain tissues. These results suggest that copper levels are associated with mostly aberrant cognitive functions, greater rGMV in extensive areas, greater MD (which are indicative of low density in brain tissues) in subcortical structures in the healthy young adults, possibly reflecting copper's complex roles in neural mechanisms.
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37
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Yan CQ, Wang X, Huo JW, Zhou P, Li JL, Wang ZY, Zhang J, Fu QN, Wang XR, Liu CZ, Liu QQ. Abnormal Global Brain Functional Connectivity in Primary Insomnia Patients: A Resting-State Functional MRI Study. Front Neurol 2018; 9:856. [PMID: 30450072 PMCID: PMC6224336 DOI: 10.3389/fneur.2018.00856] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 09/24/2018] [Indexed: 12/18/2022] Open
Abstract
Background: Resting-state functional magnetic resonance imaging (fMRI) studies have uncovered the disruptions of functional brain networks in primary insomnia (PI) patients. However, the etiology and pathogenesis underlying this disorder remains ambiguous, and the insomnia related symptoms are influenced by a complex network organization in the brain. The purpose of this study was to explore the abnormal intrinsic functional hubs in PI patients using a voxel-wise degree centrality (DC) analysis and seed-based functional connectivity (FC) approach. Methods: A total of 26 PI patients and 28 healthy controls were enrolled, and they underwent resting-state fMRI. Degree centrality was measured across the whole brain, and group differences in DC were compared. The peak points, which significantly altered DC between the two groups, were defined as the seed regions and were further used to calculate FC of the whole brain. Later, correlation analyses were performed between the changes in brain function and clinical features. Results: Primary insomnia patients showed DC values lower than healthy controls in the left inferior frontal gyrus (IFG) and middle temporal gyrus (MTG) and showed a higher DC value in the right precuneus. The seed-based analyses demonstrated decreased FC between the left MTG and the left posterior cingulate cortex (PCC), and decreased FC was observed between the right precuneus and the right lateral occipital cortex. Reduced DC in the left IFG and decreased FC in the left PCC were positively correlated with the Pittsburgh sleep quality index and the insomnia severity index. Conclusions: This study revealed that PI patients exhibited abnormal intrinsic functional hubs in the left IFG, MTG, and the right precuneus, as well as abnormal seed-based FC in these hubs. These results contribute to better understanding of how brain function influences the symptoms of PI.
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Affiliation(s)
- Chao-Qun Yan
- Department of Acupuncture and Moxibustion, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.,Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Xu Wang
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Jian-Wei Huo
- Department of Radiology, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Ping Zhou
- Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Jin-Ling Li
- Department of Acupuncture and Moxibustion, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Zhong-Yan Wang
- Department of Radiology, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Jie Zhang
- Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Qing-Nan Fu
- Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Xue-Rui Wang
- Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Cun-Zhi Liu
- Department of Acupuncture and Moxibustion, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Qing-Quan Liu
- Department of Psychosomatic Medicine, Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
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38
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Li K, Luo X, Zeng Q, Jiaerken Y, Xu X, Huang P, Shen Z, Xu J, Wang C, Zhou J, Zhang MM. Aberrant functional connectivity network in subjective memory complaint individuals relates to pathological biomarkers. Transl Neurodegener 2018; 7:27. [PMID: 30377523 PMCID: PMC6196458 DOI: 10.1186/s40035-018-0130-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Accepted: 09/20/2018] [Indexed: 11/10/2022] Open
Abstract
Background Individuals with subjective memory complaints (SMC) feature a higher risk of cognitive decline and clinical progression of Alzheimer's disease (AD). However, the pathological mechanism underlying SMC remains unclear. We aimed to assess the intrinsic connectivity network and its relationship with AD-related pathologies in SMC individuals. Methods We included 44 SMC individuals and 40 normal controls who underwent both resting-state functional MRI and positron emission tomography (PET). Based on graph theory approaches, we detected local and global functional connectivity across the whole brain by using degree centrality (DC) and eigenvector centrality (EC) respectively. Additionally, we analyzed amyloid deposition and tauopathy via florbetapir-PET imaging and cerebrospinal fluid (CSF) data. The voxel-wise two-sample T-test analysis was used to examine between-group differences in the intrinsic functional network and cerebral amyloid deposition. Then, we correlated these network metrics with pathological results. Results The SMC individuals showed higher DC in the bilateral hippocampus (HP) and left fusiform gyrus and lower DC in the inferior parietal region than controls. Across all subjects, the DC of the bilateral HP and left fusiform gyrus was positively associated with total tau and phosphorylated tau181. However, no significant between-group difference existed in EC and cerebral amyloid deposition. Conclusion We found impaired local, but not global, intrinsic connectivity networks in SMC individuals. Given the relationships between DC value and tau level, we hypothesized that functional changes in SMC individuals might relate to pathological biomarkers.
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Affiliation(s)
- Kaicheng Li
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Xiao Luo
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Qingze Zeng
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Yeerfan Jiaerken
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Xiaojun Xu
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Peiyu Huang
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Zhujing Shen
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Jingjing Xu
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Chao Wang
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Jiong Zhou
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Min-Ming Zhang
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Sassa Y, Nozawa T, Ikeda S, Yokota S, Daniele M, Kawashima R. General intelligence is associated with working memory-related brain activity: new evidence from a large sample study. Brain Struct Funct 2018; 223:4243-4258. [PMID: 30196431 DOI: 10.1007/s00429-018-1747-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 09/03/2018] [Indexed: 11/25/2022]
Abstract
Psychometric intelligence is closely related to working memory capacity. Here we aim to determine the associations of neural activation patterns during the N-back working memory paradigm with psychometric intelligence and working memory performance. We solved the statistical problems of previous studies using (1) a large cohort of 1235 young adults and (2) robust voxel-by-voxel permutation-based statistics at the whole-brain level. Many of the significant correlations were weak, and our findings were not consistent with those of previous studies. We observed that many of the significant correlations involved brain areas in the periphery or boundaries between the task-positive network (TPN) and task-negative network (TNN), suggesting that the expansion of the TPN or TNN is associated with greater cognitive ability. Lower activity in TPN and less task-induced deactivation (TID) in TNN were associated with greater cognitive ability. These findings indicate that subjects with greater cognitive ability have a lower brain response to task demand, consistent with the notion that TID in TNN reflects cognitive demand but partly inconsistent with the prevailing neural efficiency theory. One exception was the pre-supplementary motor area, which plays a key role in cognitive control and sequential processing. In this area, intelligent subjects demonstrated greater activity related to working memory, suggesting that the pre-supplementary motor area plays a unique role in the execution of working memory tasks in intelligent subjects.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.,Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan.,Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.,Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Yuka Kotozaki
- Division of Clinical Research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- Department of Functional Human Brain Imaging Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sugiko Hanawa
- Department of Functional Human Brain Imaging Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Tsuyoshi Araki
- Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Carlos Makoto Miyauchi
- Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo, Japan
| | - Kohei Sakaki
- Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan
| | - Takayuki Nozawa
- Collaborative Research Center for Happiness Co-creation Society through "Ishin-Denshin" Intelligent Communications, Tokyo Institute of Technology, Tokyo, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Susumu Yokota
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan
| | - Magistro Daniele
- Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.,Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Collaborative Research Center for Happiness Co-creation Society through "Ishin-Denshin" Intelligent Communications, Tokyo Institute of Technology, Tokyo, Japan
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40
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Zhong M, Yang W, Huang B, Jiang W, Zhang X, Liu X, Wang L, Wang J, Zhao L, Zhang Y, Liu Y, Lin J, Huang R. Effects of levodopa therapy on voxel-based degree centrality in Parkinson’s disease. Brain Imaging Behav 2018; 13:1202-1219. [DOI: 10.1007/s11682-018-9936-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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41
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Sarappa C, Salvatore E, Filla A, Cocozza S, Russo CV, Saccà F, Brunetti A, De Michele G, Quarantelli M. Functional MRI signal fluctuations highlight altered resting brain activity in Huntington's disease. Brain Imaging Behav 2018; 11:1459-1469. [PMID: 27734308 DOI: 10.1007/s11682-016-9630-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The fractional Amplitude of Low Frequency Fluctuations (fALFF) and the degree of local synchronization (Regional Homogeneity - ReHo) of resting-state BOLD signal have been suggested to map spontaneous neuronal activity and local functional connectivity, respectively. We compared voxelwise, independent of atrophy, the fALFF and ReHo patterns of 11 presymptomatic (ps-HD) and 28 symptomatic (sHD) Huntington's disease mutation carriers, with those of 40 normal volunteers, and tested their possible correlations with the motor and cognitive subscores of the Unified Huntington's Disease Rating Scale. In sHD patients, fALFF was mainly reduced bilaterally in parietal lobes (right precuneus being already affected in psHD), and in superior frontal gyri, and increased bilaterally in cerebellar lobules VI, VIII and IX, as well as in the right inferior temporal gyrus. In sHD, and to a lesser extent in psHD, ReHo was bilaterally reduced in putamina, cerebellar lobules III to VI, and superior medial frontal gyri, and increased in both psHD and sHD in fronto-basal cortices, and in the right temporal lobe. fALFF correlated inversely with cognitive scores in lobule IX of the cerebellum (mainly with total Stroop score, p < 0.0001), and in the medial portions of both thalami. These results are consistent with a reduced neuronal activity in the cortical components of the executive networks, known to be affected in Huntington's Disease, and with reduced local functional integration in subcortical and cerebellar components of the sensori-motor network. Cerebellar clusters of significant correlation of fALFF with executive function scores may be related to compensatory mechanisms.
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Affiliation(s)
- Chiara Sarappa
- Department of Advanced Biomedical Sciences, University "Federico II", Edificio 10, Via S. Pansini 5, 80131, Naples, Italy
| | - Elena Salvatore
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University "Federico II", Edificio 17, Via S. Pansini 5, 80131, Naples, Italy
| | - Alessandro Filla
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University "Federico II", Edificio 17, Via S. Pansini 5, 80131, Naples, Italy
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University "Federico II", Edificio 10, Via S. Pansini 5, 80131, Naples, Italy
| | - Cinzia Valeria Russo
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University "Federico II", Edificio 17, Via S. Pansini 5, 80131, Naples, Italy
| | - Francesco Saccà
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University "Federico II", Edificio 17, Via S. Pansini 5, 80131, Naples, Italy
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University "Federico II", Edificio 10, Via S. Pansini 5, 80131, Naples, Italy
| | - Giuseppe De Michele
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University "Federico II", Edificio 17, Via S. Pansini 5, 80131, Naples, Italy
| | - Mario Quarantelli
- Biostructure and Bioimaging Institute, National Research Council, Via T. De Amicis 95, 80145, Naples, Italy.
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42
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Yamamoto Y, Hanawa S, Araki T, Miyauchi CM, Shinada T, Sakaki K, Nozawa T, Ikeda S, Yokota S, Daniele M, Sassa Y, Kawashima R. Shorter sleep duration and better sleep quality are associated with greater tissue density in the brain. Sci Rep 2018; 8:5833. [PMID: 29643448 PMCID: PMC5895621 DOI: 10.1038/s41598-018-24226-0] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Accepted: 03/28/2018] [Indexed: 01/30/2023] Open
Abstract
Poor sleep quality is associated with unfavorable psychological measurements, whereas sleep duration has complex relationships with such measurements. The aim of this study was to identify the associations between microstructural properties of the brain and sleep duration/sleep quality in a young adult. The associations between mean diffusivity (MD), a measure of diffusion tensor imaging (DTI), and sleep duration/sleep quality were investigated in a study cohort of 1201 normal young adults. Positive correlations between sleep duration and MD of widespread areas of the brain, including the prefrontal cortex (PFC) and the dopaminergic systems, were identified. Negative correlations between sleep quality and MD of the widespread areas of the brain, including the PFC and the right hippocampus, were also detected. Lower MD has been previously associated with more neural tissues in the brain. Further, shorter sleep duration was associated with greater persistence and executive functioning (lower Stroop interference), whereas good sleep quality was associated with states and traits relevant to positive affects. These results suggest that bad sleep quality and longer sleep duration were associated with aberrant neurocognitive measurements in the brain in healthy young adults.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan.,Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.,Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Yuka Kotozaki
- Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Psychiatry, Tohoku Pharmaceutical University, Sendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yuki Yamamoto
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Sugiko Hanawa
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Carlos Makoto Miyauchi
- Graduate School of Arts and Sciences, Department of General Systems Studies, The University of Tokyo, Tokyo, Japan
| | - Takamitsu Shinada
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kohei Sakaki
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Takayuki Nozawa
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Susumu Yokota
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Magistro Daniele
- School of Electronic, Electrical and Systems Engineering, Loughborough University, England, UK
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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43
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Yuan M, Zhu H, Qiu C, Meng Y, Zhang Y, Ren Z, Li Y, Yuan C, Gao M, Lui S, Gong Q, Zhang W. Altered regional and integrated resting-state brain activity in general social anxiety disorder patients before and after group cognitive behavior therapy. Psychiatry Res Neuroimaging 2018; 272:30-37. [PMID: 29275125 DOI: 10.1016/j.pscychresns.2017.12.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 10/26/2017] [Accepted: 12/14/2017] [Indexed: 12/11/2022]
Abstract
We aimed to investigate the recovery neuromechanism underlying the treatment efficacy in generalized social anxiety disorder (GSAD). We recruited fifteen patients with GSAD and nineteen healthy control (HC) participants, all of whom underwent a baseline resting-state fMRI scan. The GSAD patients underwent an additional fMRI scan after group cognitive behavior therapy (GCBT). Amplitude of low-frequency fluctuation (ALFF) and degree centrality (DC) measures were used to examine altered regional and integrated spontaneous brain activity in group comparisons. After GCBT, ALFF of the right precuneus decreased. At baseline, the GSAD group showed higher ALFF in the left precuneus and the left middle temporal gyrus (MTG) and lower ALFF in the lingual gyrus compared with the HC group. The DC of the left precuneus and the MTG were attenuated and the right putamen increased in the post-treatment group. The changes in DC in the precuneus were positively correlated with changes in clinical symptom. The abnormal ALFF of the precuneus, MTG and lingual gyrus may be the neural underpinning of GSAD, whereas the neural response to symptom remission after GCBT was achieved by a rebalance within the default mode network.
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Affiliation(s)
- Minlan Yuan
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Hongru Zhu
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Changjian Qiu
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yajing Meng
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yan Zhang
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Zhengjia Ren
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yuchen Li
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Cui Yuan
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Meng Gao
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China; Radiology Department of the Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Zhang
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.
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44
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Yang ZT, Chen HJ, Chen QF, Lin H. Disrupted Brain Intrinsic Networks and Executive Dysfunction in Cirrhotic Patients without Overt Hepatic Encephalopathy. Front Neurol 2018; 9:14. [PMID: 29422882 PMCID: PMC5788959 DOI: 10.3389/fneur.2018.00014] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 01/09/2018] [Indexed: 12/28/2022] Open
Abstract
Objective Patients with cirrhosis often exhibit cognitive deficits, particularly executive dysfunction, which is considered a predictor of overt hepatic encephalopathy (OHE). We examined brain intrinsic networks associated with executive function to investigate the neural basis of this cognitive deficiency in cirrhosis. Methods Resting-state functional MRI data were acquired from 20 cirrhotic patients and 18 healthy controls. Seed-based correlation analysis was used to identify the three well-known networks associated with executive function, including executive control (ECN), default mode (DMN), and salience (SN) networks. Functional connectivity (FC) within each network was compared between groups and correlated with patient executive performance (assessed by the Stroop task). Results Patients showed decreased FC between the ECN seed (right dorsolateral prefrontal cortex) and several regions (including right middle/inferior frontal gyrus, left inferior frontal gyrus, bilateral inferior/superior parietal lobules, bilateral middle/inferior temporal gyrus, and right medial frontal gyrus), between the DMN seed [posterior cingulate cortex (PCC)] and several regions (including bilateral medial frontal gyrus, bilateral anterior cingulate cortex, bilateral superior frontal gyrus, bilateral precuneus/PCC, left supramarginal gyrus, and left middle temporal gyrus), and between the SN seed (right anterior insula) and right supramarginal gyrus. FC strength in the ECN and SN was negatively correlated with patient performance during the Stroop task. Conclusion Disrupted functional integration in the core brain cognitive networks, which is reflected by reductions in FC, occurs before OHE bouts and may play an important role in the neural mechanism of executive dysfunction associated with cirrhosis.
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Affiliation(s)
- Zhe-Ting Yang
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Hua-Jun Chen
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Qiu-Feng Chen
- College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Hailong Lin
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, China
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45
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Role of Spontaneous Brain Activity in Explicit and Implicit Aspects of Cognitive Flexibility under Socially Conflicting Situations: A Resting-state fMRI Study using Fractional Amplitude of Low-frequency Fluctuations. Neuroscience 2017; 367:60-71. [DOI: 10.1016/j.neuroscience.2017.10.025] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2017] [Revised: 10/17/2017] [Accepted: 10/19/2017] [Indexed: 12/29/2022]
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46
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Abstract
The network architecture of the human brain has become a feature of increasing interest to the neuroscientific community, largely because of its potential to illuminate human cognition, its variation over development and aging, and its alteration in disease or injury. Traditional tools and approaches to study this architecture have largely focused on single scales-of topology, time, and space. Expanding beyond this narrow view, we focus this review on pertinent questions and novel methodological advances for the multi-scale brain. We separate our exposition into content related to multi-scale topological structure, multi-scale temporal structure, and multi-scale spatial structure. In each case, we recount empirical evidence for such structures, survey network-based methodological approaches to reveal these structures, and outline current frontiers and open questions. Although predominantly peppered with examples from human neuroimaging, we hope that this account will offer an accessible guide to any neuroscientist aiming to measure, characterize, and understand the full richness of the brain's multiscale network structure-irrespective of species, imaging modality, or spatial resolution.
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Affiliation(s)
- Richard F Betzel
- School of Engineering and Applied Science, Department of Bioengineering, USA
| | - Danielle S Bassett
- School of Engineering and Applied Science, Department of Bioengineering, USA; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
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47
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Ikeda S, Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Yamamoto Y, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Nozawa T, Yokota S, Magistro D, Kawashima R. A Comprehensive Analysis of the Correlations between Resting-State Oscillations in Multiple-Frequency Bands and Big Five Traits. Front Hum Neurosci 2017; 11:321. [PMID: 28680397 PMCID: PMC5478695 DOI: 10.3389/fnhum.2017.00321] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 06/06/2017] [Indexed: 01/05/2023] Open
Abstract
Recently, the association between human personality traits and resting-state brain activity has gained interest in neuroimaging studies. However, it remains unclear if Big Five personality traits are represented in frequency bands (~0.25 Hz) of resting-state functional magnetic resonance imaging (fMRI) activity. Based on earlier neurophysiological studies, we investigated the correlation between the five personality traits assessed by the NEO Five-Factor Inventory (NEO-FFI), and the fractional amplitude of low-frequency fluctuation (fALFF) at four distinct frequency bands (slow-5 (0.01–0.027 Hz), slow-4 (0.027–0.073 Hz), slow-3 (0.073–0.198 Hz) and slow-2 (0.198–0.25 Hz)). We enrolled 835 young subjects and calculated the correlations of resting-state fMRI signals using a multiple regression analysis. We found a significant and consistent correlation between fALFF and the personality trait of extraversion at all frequency bands. Furthermore, significant correlations were detected in distinct brain regions for each frequency band. This finding supports the frequency-specific spatial representations of personality traits as previously suggested. In conclusion, our data highlight an association between human personality traits and fALFF at four distinct frequency bands.
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Affiliation(s)
- Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
| | - Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan.,Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku UniversitySendai, Japan.,Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku UniversitySendai, Japan.,Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku UniversitySendai, Japan.,Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
| | | | - Yuka Kotozaki
- Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of MedicineFukushima, Japan
| | - Seishu Nakagawa
- Division of Psychiatry, Tohoku Medical and Pharmaceutical UniversitySendai, Japan.,Department of Functional Brain Science, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku UniversitySendai, Japan.,Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan.,Department of Adult Mental Health, National Institute of Mental Health, National Center of Neurology and PsychiatryTokyo, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University HospitalSendai, Japan
| | - Yuki Yamamoto
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
| | - Sugiko Hanawa
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
| | - Tsuyoshi Araki
- Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
| | - Carlos Makoto Miyauchi
- Graduate School of Arts and Sciences, Department of General Systems Studies, The University of TokyoTokyo, Japan
| | - Kohei Sakaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
| | - Takayuki Nozawa
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
| | - Susumu Yokota
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
| | - Daniele Magistro
- School of Sport, Exercise, and Health Sciences, Loughborough UniversityLoughborough, United Kingdom.,National Centre for Sport and Exercise Medicine (NCSEM), Loughborough UniversityLoughborough, United Kingdom
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan.,Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan.,Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku UniversitySendai, Japan
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48
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Lee HH, Hsieh S. Resting-State fMRI Associated with Stop-Signal Task Performance in Healthy Middle-Aged and Elderly People. Front Psychol 2017; 8:766. [PMID: 28553253 PMCID: PMC5427072 DOI: 10.3389/fpsyg.2017.00766] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 04/26/2017] [Indexed: 12/12/2022] Open
Abstract
Several brain regions and connectivity networks may be altered as aging occurs. We are interested in investigating if resting-state functional magnetic resonance imaging (RS-fMRI) can also be valid as an indicator of individual differences in association with inhibition performance among aged (including middle-aged) people. Seventy-two healthy adults (40–77 years of age) were recruited. Their RS-fMRI images were acquired and analyzed via two cluster-analysis methods: local synchronization of spontaneous brain activity measured by regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuations (fALFF) of blood oxygenation level-dependent signals. After the RS-fMRI acquisition, participants were instructed to perform a stop-signal task, in which the stop signal reaction time (SSRT) was calculated based on the horse-race model. Among participants, the ReHo/fALFF and SSRT were correlated with and without partialling-out the effect of age. The results of this study showed that, although aging may alter brain networks, the spontaneous activity of the age-related brain networks can still serve as an effective indicator of individual differences in association with inhibitory performance in healthy middle-aged and elderly people. This is the first study to use both ReHo and fALFF on the same dataset for conjunction analyses showing the relationship between stopping performance and RS-fMRI in the elderly population. The relationship may have practical clinical applications. Based on the overall results, the current study demonstrated that the bilateral inferior frontal gyrus and parts of the default mode network activation were negatively correlated with SSRT, suggesting that they have crucial roles in inhibitory function. However, the pre-supplementary motor area (pre-SMA) and SMA played only a small role during the resting state in association with stopping performance.
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Affiliation(s)
- Hsing-Hao Lee
- Department of Psychology, National Cheng Kung UniversityTainan, Taiwan
| | - Shulan Hsieh
- Department of Psychology, National Cheng Kung UniversityTainan, Taiwan.,Institue of Allied Health Sciences, National Cheng Kung UniversityTainan, Taiwan.,Department and Institute of Public Health, National Cheng Kung UniversityTainan, Taiwan
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49
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Kong F, He Q, Liu X, Chen X, Wang X, Zhao J. Amplitude of Low-Frequency Fluctuations During Resting State Differentially Predicts Authentic and Hubristic Pride. J Pers 2017; 86:213-219. [PMID: 28192860 DOI: 10.1111/jopy.12306] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Pride is an important, self-conscious emotion composed of two distinct conceptual facets: arrogant, egotistic "hubristic pride," and pro-social, achievement-oriented "authentic pride." However, little is known about the neural basis of the two facets of pride. Here, we investigated the association between spontaneous brain activity and these two facets of pride in resting state. METHOD We measured 276 participants on authentic and hubristic pride. The fractional amplitude of low-frequency fluctuations (fALFF) was used to identify pride-related regions. RESULTS The results revealed individual differences in authentic pride were associated with the fALFF in the bilateral superior temporal gyrus (STG), which has been implicated in social processing. In contrast, individual differences in hubristic pride were associated with the fALFF in the left orbitofrontal cortex (OFC) and posterior cingulate cortex (PCC), which have been implicated in self-referential and reward processing. CONCLUSIONS Together, our results provide initial evidence for the distinct neural substrates for authentic and hubristic pride.
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Affiliation(s)
- Feng Kong
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, Shaanxi Normal University
| | - Qiaolin He
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University
| | - Xiqin Liu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University
| | - Xiayu Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University
| | - Xu Wang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University
| | - Jingjing Zhao
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, Shaanxi Normal University
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50
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Yamamoto Y, Hanawa S, Araki T, Makoto Miyauchi C, Shinada T, Sakaki K, Nozawa T, Ikeda S, Yokota S, Daniele M, Sassa Y, Kawashima R. Regional homogeneity, resting-state functional connectivity and amplitude of low frequency fluctuation associated with creativity measured by divergent thinking in a sex-specific manner. Neuroimage 2017; 152:258-269. [PMID: 28257930 DOI: 10.1016/j.neuroimage.2017.02.079] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 02/22/2017] [Accepted: 02/26/2017] [Indexed: 01/10/2023] Open
Abstract
Brain connectivity is traditionally thought to be important for creativity. Here we investigated the associations of creativity measured by divergent thinking (CMDT) with resting-state functional magnetic imaging (fMRI) measures and their sex differences. We examined these relationships in the brains of 1277 healthy young adults. Whole-brain analyses revealed a significant interaction between verbal CMDT and sex on (a) regional homogeneity within an area from the left anterior temporal lobe (b) on the resting state functional connectivity (RSFC) between the mPFC and the left inferior frontal gyrus and (c) on fractional amplitude of low frequency fluctuations (fALFF) in several distinct areas, including the precuneus and middle cingulate gyrus, left middle temporal gyrus, right middle frontal gyrus, and cerebellum. These interactions were mediated by positive correlations in females and negative correlations in males. These findings suggest that greater CMDT in females is reflected by (a) regional coherence (regional homogeneity) of brain areas responsible for representing and combining concepts as well as (b) the efficient functional connection (RSFC) between the key areas for the default state of cognitive activity and speech production, and (c) greater spontaneous neural activity (fALFF) during the resting of brain areas involved in frontal lobe functions, default cognitive activities, and language functions. Furthermore, these findings suggest that the associations between creativity and resting state brain connectivity patterns are different between males and females.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan; Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan; Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Yuka Kotozaki
- Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Department of Psychiatry, Tohoku Pharmaceutical University, Sendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Department of Adult Mental Health, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yuki Yamamoto
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Sugiko Hanawa
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Tsuyoshi Araki
- Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Carlos Makoto Miyauchi
- Graduate School of Arts and Sciences, Department of General Systems Studies, The University of Tokyo, Tokyo, Japan
| | - Takamitsu Shinada
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kohei Sakaki
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Takayuki Nozawa
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Susumu Yokota
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Magistro Daniele
- School of Electronic, Electrical and Systems Engineering, Loughborough University, England, UK
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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