Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders
Major depressive disorder (MDD) is highly prevalent, recurrent, and associated with functional impairment, morbidity, and mortality. Herein, we aimed to identify disruptions in functional connectomics among subjects with MDD by using resting-state functional magnetic resonance imaging (rs-fMRI). Six...
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PeerJ Inc.
2017-11-01
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Online Access: | https://peerj.com/articles/3147.pdf |
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author | Vincent Chin-Hung Chen Chao-Yu Shen Sophie Hsin-Yi Liang Zhen-Hui Li Ming-Hong Hsieh Yeu-Sheng Tyan Mong-Liang Lu Yena Lee Roger S. McIntyre Jun-Cheng Weng |
author_facet | Vincent Chin-Hung Chen Chao-Yu Shen Sophie Hsin-Yi Liang Zhen-Hui Li Ming-Hong Hsieh Yeu-Sheng Tyan Mong-Liang Lu Yena Lee Roger S. McIntyre Jun-Cheng Weng |
author_sort | Vincent Chin-Hung Chen |
collection | DOAJ |
description | Major depressive disorder (MDD) is highly prevalent, recurrent, and associated with functional impairment, morbidity, and mortality. Herein, we aimed to identify disruptions in functional connectomics among subjects with MDD by using resting-state functional magnetic resonance imaging (rs-fMRI). Sixteen subjects with MDD and thirty health controls completed resting-state fMRI scans and clinical assessments (e.g., Hamilton Depression Rating Scale (HAMD) and Hospital Anxiety and Depression Scale (HADS)). We found higher amplitude of low frequency fluctuations (ALFF) bilaterally in the hippocampus and amygdala among MDD subjects when compared to healthy controls. Using graph theoretical analysis, we found decreased clustering coefficient, local efficiency, and transitivity in the MDD patients. Our findings suggest a potential biomarker for differentiating individuals with MDD from individuals without MDD. |
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issn | 2167-8359 |
language | English |
last_indexed | 2024-03-09T06:37:26Z |
publishDate | 2017-11-01 |
publisher | PeerJ Inc. |
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spelling | doaj.art-a21cc2d574284e24a8a2b6062d6db3502023-12-03T10:56:34ZengPeerJ Inc.PeerJ2167-83592017-11-015e314710.7717/peerj.3147Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disordersVincent Chin-Hung Chen0Chao-Yu Shen1Sophie Hsin-Yi Liang2Zhen-Hui Li3Ming-Hong Hsieh4Yeu-Sheng Tyan5Mong-Liang Lu6Yena Lee7Roger S. McIntyre8Jun-Cheng Weng9School of Medicine, Chang Gung University, Taoyuan, TaiwanDepartment of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, TaiwanSchool of Medicine, Chang Gung University, Taoyuan, TaiwanDepartment of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, TaiwanDepartment of Psychiatry, Chung Shan Medical University and Hospital, Taichung, TaiwanDepartment of Medical Imaging and Radiological Sciences, Chung Shan Medical University, Taichung, TaiwanDepartment of Psychiatry, Wan Fang Hospital & School of Medicine, College of Medicine, Taipei Medical University, Taipei, TaiwanMood Disorder Psychopharmacology Unit, University Health Network, Department of Psychiatry, University of Toronto, Toronto, ON, CanadaMood Disorder Psychopharmacology Unit, University Health Network, Department of Psychiatry, University of Toronto, Toronto, ON, CanadaDepartment of Psychiatry, Chang Gung Memorial Hospital, Chiayi, TaiwanMajor depressive disorder (MDD) is highly prevalent, recurrent, and associated with functional impairment, morbidity, and mortality. Herein, we aimed to identify disruptions in functional connectomics among subjects with MDD by using resting-state functional magnetic resonance imaging (rs-fMRI). Sixteen subjects with MDD and thirty health controls completed resting-state fMRI scans and clinical assessments (e.g., Hamilton Depression Rating Scale (HAMD) and Hospital Anxiety and Depression Scale (HADS)). We found higher amplitude of low frequency fluctuations (ALFF) bilaterally in the hippocampus and amygdala among MDD subjects when compared to healthy controls. Using graph theoretical analysis, we found decreased clustering coefficient, local efficiency, and transitivity in the MDD patients. Our findings suggest a potential biomarker for differentiating individuals with MDD from individuals without MDD.https://peerj.com/articles/3147.pdfFunctional connectomeGraph theoretical analysisResting-state functional magnetic resonance imagingMajor depressive disorder |
spellingShingle | Vincent Chin-Hung Chen Chao-Yu Shen Sophie Hsin-Yi Liang Zhen-Hui Li Ming-Hong Hsieh Yeu-Sheng Tyan Mong-Liang Lu Yena Lee Roger S. McIntyre Jun-Cheng Weng Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders PeerJ Functional connectome Graph theoretical analysis Resting-state functional magnetic resonance imaging Major depressive disorder |
title | Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
title_full | Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
title_fullStr | Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
title_full_unstemmed | Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
title_short | Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
title_sort | assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders |
topic | Functional connectome Graph theoretical analysis Resting-state functional magnetic resonance imaging Major depressive disorder |
url | https://peerj.com/articles/3147.pdf |
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