Poster No:
688
Submission Type:
Abstract Submission
Authors:
Jia-En Jhou1, Yen-Ling Chen1, Ya-Mei Bai2, Mu-Hong Chen2, Pei-Chi Tu3
Institutions:
1Department of Occupational Therapy, I-Shou University, Kaohsiung, Taiwan, 2Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan, 3Institute of Philosophy of Mind and Cognition, National Yang-Ming University, Taipei, Taiwan
First Author:
Jia-En Jhou
Department of Occupational Therapy, I-Shou University
Kaohsiung, Taiwan
Co-Author(s):
Yen-Ling Chen
Department of Occupational Therapy, I-Shou University
Kaohsiung, Taiwan
Ya-Mei Bai
Division of Psychiatry, Faculty of Medicine, National Yang-Ming University
Taipei, Taiwan
Mu-Hong Chen
Division of Psychiatry, Faculty of Medicine, National Yang-Ming University
Taipei, Taiwan
Pei-Chi Tu
Institute of Philosophy of Mind and Cognition, National Yang-Ming University
Taipei, Taiwan
Introduction:
Bipolar II disorder (BD II) and major depressive disorder (MDD) have similar depressive episode characteristics. It is difficult to distinguish the two diseases during a depressive episode, and misdiagnosis can have harmful consequences. Although the depressive episode in BD II and MDD may appear similar, changes in specific brain networks could be significant. Moreover, the aid of neurobiological markers can improve understanding of BD II and MDD neuropathology. Therefore, this study aims to explore the differences and similarities in large-scale functional network connectivity between BD II and MDD, providing potential neurobiological indicators to assist in diagnosing these two disorders and understanding their neuropathology.
Methods:
Resting-state functional MRI (rs-fMRI) data were collected from 59 BD II patients, 114 MDD patients, and 117 age- and sex-matched healthy control (HC). After preprocessing the rs-fMRI data, large-scale functional network connectivity was analyzed according to Shen's whole-brain functional-connectivity-based atlas to parcellate the brain into 268 regions. These regions were then categorized into eight networks: the medial frontal network (MFN), frontoparietal network (FPN), default mode network (DMN), subcortical and cerebellar (SC) regions, motor network (MON), visual I network (VisI), visual II network (VisII), and visual association network (VA). The differences in large-scale functional network connectivity among these three groups were examined using ANOVA. Moreover, the symptoms and functions of the patients with BD II and MDD were clinically assessed using the Hamilton Depression Rating Scale (HAM-D), Hamilton Anxiety Rating Scale (HAM-A), and Personal and Social Performance (PSP) Scale. Then, the correlation between network dysconnectivity and the symptoms and functions was investigated using Pearson correlation.
Results:
There were 74 significant network dysconnectivity among the three groups with false discovery rate correction (q < 0.01, adjusted by age and sex). Compared to MDD and HC, all of these dysconnectivity had greater differences between BD II and HC. Furthermore, both BD II and MDD showed hyperconnectivity in MON to FPN, MON to MFN, MON to SC, and MFN to SC; both BD II and MDD showed hypoconnectivity in SC to FPN, SC to VisI, VA to SC, MON to MON, MON to DMN, and SC to SC. Moreover, BD II revealed hypoconnectivity in VisI to MON, VisII to MON, and SC to VisII, but MDD showed hyperconnectivity. BD II revealed hyperconnectivity in VisII to FPN and VisI to FPN, but MDD showed hypoconnectivity. In addition, BD II presented a significantly moderate correlation between SC to FPN connectivity and PSP, HAMA, and HAMD (ρ = 0.43, -0.49, and -0.49, respectively), but no correlation in MDD.
Conclusions:
BD II showed greater network dysconnectivity in the distinct and shared network dysconnectivity in BD II and MDD than MDD, especially the VisI/VisII and MON or FPN connectivity. The network connectivity may be used as neurobiological markers for patients with BD II when differentiating from MDD. Furthermore, the network dysconnectivity of BD II may be involved in the representation of symptoms and functions but not those of MDD.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1
Modeling and Analysis Methods:
Connectivity (eg. functional, effective, structural) 2
Keywords:
Affective Disorders
FUNCTIONAL MRI
1|2Indicates the priority used for review
Provide references using author date format
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