TY - JOUR
T1 - Assessment of brain functional connectome alternations and correlation with depression and anxiety in major depressive disorders
AU - Chen, Vincent Chin Hung
AU - Shen, Chao Yu
AU - Liang, Sophie Hsin Yi
AU - Li, Zhen Hui
AU - Hsieh, Ming Hong
AU - Tyan, Yeu Sheng
AU - Lu, Mong Liang
AU - Lee, Yena
AU - McIntyre, Roger S.
AU - Weng, Jun Cheng
N1 - Publisher Copyright:
©2017 Chen et al.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - Functional connectome
KW - Graph theoretical analysis
KW - Major depressive disorder
KW - Resting-state functional magnetic resonance imaging
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U2 - 10.7717/peerj.3147
DO - 10.7717/peerj.3147
M3 - Article
AN - SCOPUS:85034624793
SN - 2167-8359
VL - 2017
JO - PeerJ
JF - PeerJ
IS - 11
M1 - e3147
ER -