Literature DB >> 31282606

Aberrant brain structural-functional connectivity coupling in euthymic bipolar disorder.

Ruibin Zhang1,2,3, Robin Shao2, Guiyun Xu1,4,5, Weicong Lu1,5, Wenjing Zheng1,5, Qingzhe Miao1, Kun Chen1,5, Yanling Gao1,5, Yanan Bi1,5, Lijie Guan1, Roger S McIntyre4,6,7, Yue Deng8, Xuejun Huang8, Kwok-Fai So4,9,10, Kangguang Lin1,2,4,5,9.   

Abstract

Aberrant structural (diffusion tensor imaging [DTI]) and resting-state functional magnetic resonance imagining connectivity are core features of bipolar disorder. However, few studies have explored the integrity agreement between structural and functional connectivity (SC-FC) in bipolar disorder. We examine SC connectivity coupling index whether could potentially provide additional clinical predictive value for bipolar disorder spectrum disorders besides the intramodality network measures. By examining the structural (DTI) and resting-state functional network properties, as well as their coupling index, among 57 euthymic bipolar disorder patients (age 13-28 years, 18 females) and 42 age- and gender-matched healthy controls (age 13-28 years, 16 females), we found that compared to controls, bipolar disorder patients showed increased structural rich-club connectivity as well as decreased functional modularity. Importantly, the coupling strength between structural and functional connectome was decreased in patients compared to controls, which emerged as the most powerful feature discriminating the two groups. Our findings suggest that structural-functional coupling strength could serve as a valuable biological trait-like feature for bipolar disorder over and above the intramodality network measures. Such measure can have important clinical implications for early identification of bipolar disorder individuals, and inform strategies for prevention of bipolar disorder onset and relapse.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  bipolar disorder; modularity; predictive analysis; rich club; structural-functional coupling

Mesh:

Year:  2019        PMID: 31282606      PMCID: PMC6865442          DOI: 10.1002/hbm.24608

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  62 in total

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