Decoupling of Gray and White Matter Functional Networks in Medication‐Naïve Patients With Major Depressive Disorder

Background Major depressive disorder (MDD) has been increasingly conceptualized as a disconnection syndrome. However, most studies have only focused on functional connectivity (FC) alterations in gray matter (GM), and the functional alterations in white matter (WM) remain largely unknown in MDD. Pur...

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Bibliographic Details
Published in:Journal of magnetic resonance imaging 2021-03, Vol.53 (3), p.742-752
Main Authors: Zhao, Youjin, Zhang, Feifei, Zhang, Wenjing, Chen, Lizhou, Chen, Ziqi, Lui, Su, Gong, Qiyong
Format: Article
Language:English
Subjects:
Algorithms
Cerebrum
Cingulum
Clustering
Cognition
Correlation analysis
Decoupling
Depressive Disorder, Major - diagnostic imaging
Field strength
functional connectivity (FC)
Functional magnetic resonance imaging
Gray Matter - diagnostic imaging
gray matter network
Humans
Image acquisition
Information processing
Magnetic Resonance Imaging
major depressive disorder (MDD)
Mental depression
Nervous system diseases
Networks
Oxygenation
Prospective Studies
resting‐state fMRI
Rumination
Sensorimotor system
Statistical analysis
Statistical tests
Substantia alba
Substantia grisea
Subsystems
White Matter - diagnostic imaging
white matter network
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Summary:Background Major depressive disorder (MDD) has been increasingly conceptualized as a disconnection syndrome. However, most studies have only focused on functional connectivity (FC) alterations in gray matter (GM), and the functional alterations in white matter (WM) remain largely unknown in MDD. Purpose To investigate WM functional alterations and the functional interaction between GM and WM networks in medication‐naïve MDD. Study Type Prospective. Subjects Sixty‐eight patients with MDD and 66 age‐ and sex‐matched healthy controls (HCs). Field Strength/Sequence Resting state‐functional MRI (fMRI) using a gradient‐echo imaging sequence and T1‐weighted images were acquired at 3.0T. Assessment Functional GM and WM networks, based on resting‐state blood oxygenation level‐dependent (BOLD) signals, were identified by the K‐means clustering algorithm, and FC matrices were obtained for each subject. Statistical Tests Two‐sample t‐tests, Pearson chi‐square test, and Pearson correlation analysis. Results Both the GM and WM of the visual network (GM1 and WM11) showed reduced FC with the sensorimotor network (WM5 and GM8), lateral temporal network (GM5 and WM6), cingulo‐opercular network (GM9), and dorsal attention network (GM7) in MDD patients compared to controls (P 
ISSN:1053-1807
1522-2586
DOI:10.1002/jmri.27392