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Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders
He, Hao1,2; Sui, Jing1,3,4,5; Du, Yuhui1,6; Yu, Qingbao1; Lin, Dongdong1; Drevets, Wayne C.7; Savitz, Jonathan B.8; Yang, Jian9; Victor, Teresa A.8; Calhoun, Vince D.1,2,10; Sui Jing(隋婧); Vince D. Calhoun
发表期刊BRAIN STRUCTURE & FUNCTION
2017-12-01
卷号222期号:9页码:4051-4064
文章类型Article
摘要Bipolar disorder (BD) and major depressive disorder (MDD) share similar clinical characteristics that often obscure the diagnostic distinctions between their depressive conditions. Both functional and structural brain abnormalities have been reported in these two disorders. However, the direct link between altered functioning and structure in these two diseases is unknown. To elucidate this relationship, we conducted a multimodal fusion analysis on the functional network connectivity (FNC) and gray matter density from MRI data from 13 BD, 40 MDD, and 33 matched healthy controls (HC). A data-driven fusion method called mCCA+jICA was used to identify the co-altered FNC and gray matter components. Comparing to HC, BD exhibited reduced gray matter density in the parietal and occipital cortices, which correlated with attenuated functional connectivity within sensory and motor networks, as well as hyper-connectivity in regions that are putatively engaged in cognitive control. In addition, lower gray matter density was found in MDD in the amygdala and cerebellum. High accuracy in discriminating across groups was also achieved by trained classification models, implying that features extracted from the fusion analysis hold the potential to ultimately serve as diagnostic biomarkers for mood disorders.
关键词Bipolar Disorders Major Depressive Disorder Functional Network Connectivity Gray Matter Density Multimodal Fusion Mcca Plus Jica
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1007/s00429-017-1451-x
关键词[WOS]VOXEL-BASED MORPHOMETRY ; GRAY-MATTER DIFFERENCES ; RESTING-STATE NETWORKS ; DEFAULT MODE NETWORK ; UNIPOLAR DEPRESSION ; MOOD DISORDERS ; IMAGING DATA ; I DISORDER ; CONNECTIVITY ABNORMALITIES ; DIFFERENTIATES BIPOLAR
收录类别SCI ; SSCI
语种英语
项目资助者National High-Tech Development Plan (863 plan)(2015AA020513) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02060005) ; "100 Talents Plan'' of the Chinese Academy of Sciences ; Chinese National Science Foundation(81471367) ; NIH via a COBRE Grant(P20GM103472 ; William K. Warren Foundation ; R01EB005846 ; 1R01EB006841)
WOS研究方向Anatomy & Morphology ; Neurosciences & Neurology
WOS类目Anatomy & Morphology ; Neurosciences
WOS记录号WOS:000415357100013
引用统计
被引频次:43[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/20286
专题脑图谱与类脑智能实验室_脑网络组研究
通讯作者Sui Jing(隋婧); Vince D. Calhoun
作者单位1.Lovelace Biomed & Environm Res Inst, Mind Res Network, 1101 Yale Blvd NE, Albuquerque, NM 87106 USA
2.Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
3.Chinese Acad Sci, Brainnetome Ctr, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing, Peoples R China
6.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan, Shanxi, Peoples R China
7.Johnson & Johnson Inc, Janssen Pharmaceut, Titusville, NJ USA
8.Laureate Inst Brain Res, Tulsa, OK USA
9.Beijing Inst Technol, Sch Opt & Elect, Beijing Engn Res Ctr Mixed Real & Adv Display, Beijing 10081, Peoples R China
10.Yale Univ, Dept Psychiat, New Haven, CT 06520 USA
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He, Hao,Sui, Jing,Du, Yuhui,et al. Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders[J]. BRAIN STRUCTURE & FUNCTION,2017,222(9):4051-4064.
APA He, Hao.,Sui, Jing.,Du, Yuhui.,Yu, Qingbao.,Lin, Dongdong.,...&Vince D. Calhoun.(2017).Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders.BRAIN STRUCTURE & FUNCTION,222(9),4051-4064.
MLA He, Hao,et al."Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders".BRAIN STRUCTURE & FUNCTION 222.9(2017):4051-4064.
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