Decreased functional connectivity in bipolar disorder: a whole-brain connectome analysis using NBS
Poster No:
650
Submission Type:
Abstract Submission
Authors:
Chun-Hung Yeh1, Matteo Martino2, Hsiang-Yuan Lin3, Rung-Yu Tseng1, Benedetta Conio4, Paola Magioncalda5
Institutions:
1Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan, 2Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University, Taipei, Taiwan, 3Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, Canada, 4University of Genoa, Genoa, Italy, 5International Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
First Author:
Chun-Hung Yeh
Department of Medical Imaging and Radiological Sciences, Chang Gung University
Taoyuan, Taiwan
Department of Medical Imaging and Radiological Sciences, Chang Gung University
Taoyuan, Taiwan
Co-Author(s):
Matteo Martino
Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University
Taipei, Taiwan
Graduate Institute of Mind, Brain, and Consciousness, Taipei Medical University
Taipei, Taiwan
Hsiang-Yuan Lin
Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto
Toronto, Canada
Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto
Toronto, Canada
Rung-Yu Tseng
Department of Medical Imaging and Radiological Sciences, Chang Gung University
Taoyuan, Taiwan
Department of Medical Imaging and Radiological Sciences, Chang Gung University
Taoyuan, Taiwan
Paola Magioncalda
International Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University
Taipei, Taiwan
International Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University
Taipei, Taiwan
Introduction:
Bipolar Disorder (BD) is a major psychiatric disorder and is clinically defined by the occurrence of active phases of illness, mania and depression, alternated to asymptomatic periods of euthymia [1]. The manic and depressive states show opposite symptomatology across the psychomotor, affective, and thought dimensions. At a biological level, these distinct symptomatologic profiles may depend on distinct patterns of alterations in the functional architecture of intrinsic brain activity. This study aimed to characterize such differences in the functional connectome using Network-Based Statistic (NBS) [2] analysis in BD during mania, depression, and euthymia, comparing these states to a healthy control group.
Methods:
We recruited 58 patients with BD, either in manic (n=17), depressive (n=24), or euthymic (n=17) states, along with 118 age-matched healthy controls (HC). Resting-state functional MRI (rs-fMRI) data of 6 minutes were acquired on a 1.5T GE MRI scanner using a gradient-echo EPI sequence with TR/TE=2000/30 ms and voxel size=3.75×3.75×5mm3.
The preprocessing of rs-fMRI data was conducted using DPABISurf [3] based on the fMRIprep [4]. ICA-AROMA [5] and aCompCor [6] were used to denoise the data. applied to Functional connectomes were then generated based on z-transformed Pearson's correlation of functional time series across pair-wise brain regions, which were defined using Schaefer's cortical atlas (100 regions) [7], Tien's subcortical parcellation (50 regions) [8], and SUIT's cerebellum atlas (34 regions) [9] in this study.
Functional connectomes were analyzed using NBS [2] to identify between-group disparity. Firstly, we compared the whole BD group to HC, and then separately compared the manic, depressive, and euthymic BD to HC.
The preprocessing of rs-fMRI data was conducted using DPABISurf [3] based on the fMRIprep [4]. ICA-AROMA [5] and aCompCor [6] were used to denoise the data. applied to Functional connectomes were then generated based on z-transformed Pearson's correlation of functional time series across pair-wise brain regions, which were defined using Schaefer's cortical atlas (100 regions) [7], Tien's subcortical parcellation (50 regions) [8], and SUIT's cerebellum atlas (34 regions) [9] in this study.
Functional connectomes were analyzed using NBS [2] to identify between-group disparity. Firstly, we compared the whole BD group to HC, and then separately compared the manic, depressive, and euthymic BD to HC.
Results:
As shown in Figure 1, the whole BD group was characterized by a widespread decrease in functional connectivity of the somatosensory network, visual network, salience network, dorsal attention network, frontoparietal network, default-mode network, and subcortical structures, mostly involving the inter-network connections. Considering the different phases of BD separately, Figure 2 shows that such widespread decrease in functional connectivity was associated with depression and euthymia, where the latter shows the most extensive reduction of network connectivity (Figure 2, lower row). Conversely, no significant changes in functional connectivity were associated with mania.
Conclusions:
Euthymia, marking the baseline and (mostly) asymptomatic state of BD, showed a general decrease in brain functional network connections. The active phases of illness showed distinct patterns of functional connectivity. Depression showed similar alterations to euthymia, whereas mania might be associated with a relative increase in functional connections with respect to the euthymic baseline. In conclusion, the results from this work showed that BD is associated with a functional reconfiguration of the architecture of intrinsic brain activity.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1
Modeling and Analysis Methods:
fMRI Connectivity and Network Modeling 2
Keywords:
FUNCTIONAL MRI
Psychiatric Disorders
Other - Bipolar Disorder
1|2Indicates the priority used for review
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