Dimensional Analysis of Atypical Functional Connectivity of Major Depression Disorder and Bipolar Disorder
- 20 August 2021
- journal article
- research article
- Published by Oxford University Press (OUP) in Cerebral Cortex
- Vol. 32 (6), 1307-1317
- https://doi.org/10.1093/cercor/bhab296
Abstract
Literatures have reported considerable heterogeneity with atypical functional connectivity (FC) pattern of psychiatric disorders. However, traditional statistical methods are hard to explore this heterogeneity pattern. We proposed a “brain dimension” method to describe the atypical FC patterns of major depressive disorder and bipolar disorder (BD). The approach was firstly applied to a simulation dataset. It was then utilized to a real resting-state functional magnetic resonance imaging dataset of 47 individuals with major depressive disorder, 32 individuals with BD, and 52 well matched health controls. Our method showed a better ability to extract the FC dimensions than traditional methods. The results of the real dataset revealed atypical FC dimensions for major depressive disorder and BD. Especially, an atypical FC dimension which exhibited decreased FC strength of thalamus and basal ganglia was found with higher severity level of individuals with BD than the ones with major depressive disorder. This study provided a novel “brain dimension” method to view the atypical FC patterns of major depressive disorder and BD and revealed shared and specific atypical FC patterns between major depressive disorder and BD.Funding Information
- Fundamental Research Funds for the Central Universities (ZYGX2019Z017, 2672018ZYGX2018J079)
- Natural Science Foundation of Hebei Province (H2021203002)
- Guizhou Science and Technology Program ([2020]1Y345)
- Sichuan Science and Technology Program (2019YJ0180)
- The National Natural Science Foundation of China (U1808204, 81871432, 62036003, 62006038, 61901129)
- Key Project of Research and Development of Ministry of Science and Technology (2018AAA0100705)
This publication has 43 references indexed in Scilit:
- Psychomotor Retardation in Depression: A Systematic Review of Diagnostic, Pathophysiologic, and Therapeutic ImplicationsBioMed Research International, 2013
- Spurious but systematic correlations in functional connectivity MRI networks arise from subject motionNeuroImage, 2012
- Prediction of Individual Brain Maturity Using fMRIScience, 2010
- DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRIFrontiers in Systems Neuroscience, 2010
- Event‐Related fMRI of Inhibitory Control in the Predominantly Inattentive and Combined Subtypes of ADHDJournal of Neuroimaging, 2009
- Resting state corticolimbic connectivity abnormalities in unmedicated bipolar disorder and unipolar depressionPsychiatry Research: Neuroimaging, 2009
- Reducing the Dimensionality of Data with Neural NetworksScience, 2006
- Functional and Anatomical Cortical Underconnectivity in Autism: Evidence from an fMRI Study of an Executive Function Task and Corpus Callosum MorphometryCerebral Cortex, 2006
- ICA of fMRI Group Study DataNeuroImage, 2002
- Is bipolar disorder still underdiagnosed? Are antidepressants overutilized?Journal of Affective Disorders, 1999