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Brain Struct Funct. 2017 Dec;222(9):4051-4064. doi: 10.1007/s00429-017-1451-x. Epub 2017 Jun 9.

Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders.

He H1,2, Sui J3,4,5, Du Y1,6, Yu Q1, Lin D1, Drevets WC7, Savitz JB8, Yang J9, Victor TA8, Calhoun VD10,11,12.

Author information

1
The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd, NE, Albuquerque, NM, 87106, USA.
2
Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, NM, USA.
3
The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd, NE, Albuquerque, NM, 87106, USA. jing.sui@nlpr.ia.ac.cn.
4
Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. jing.sui@nlpr.ia.ac.cn.
5
CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Beijing, China. jing.sui@nlpr.ia.ac.cn.
6
School of Computer and Information Technology, Shanxi University, Taiyuan, China.
7
Janssen Pharmaceuticals of Johnson & Johnson, Inc., Titusville, NJ, USA.
8
Laureate Institute for Brain Research, Tulsa, OK, USA.
9
Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, 10081, China.
10
The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd, NE, Albuquerque, NM, 87106, USA. vcalhoun@mrn.org.
11
Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, NM, USA. vcalhoun@mrn.org.
12
Department of Psychiatry, Yale University, New Haven, CT, USA. vcalhoun@mrn.org.

Abstract

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.

KEYWORDS:

Bipolar disorders; Functional network connectivity; Gray matter density; Major depressive disorder; Multimodal fusion; mCCA+jICA

PMID:
28600678
PMCID:
PMC5742247
DOI:
10.1007/s00429-017-1451-x
[Indexed for MEDLINE]
Free PMC Article

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