TY - JOUR
T1 - Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders
AU - He, Hao
AU - Yu, Qingbao
AU - Du, Yuhui
AU - Vergara, Victor
AU - Victor, Teresa A.
AU - Drevets, Wayne C.
AU - Savitz, Jonathan B.
AU - Jiang, Tianzi
AU - Sui, Jing
AU - Calhoun, Vince D.
N1 - Funding Information:
This work is supported in part by the “100 Talents Plan” of the Chinese Academy of Sciences (to Sui, J) the Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDB02060005 to Sui, J), the Chinese Natural Science Foundation (No. 81471367 to Sui, J), the State High-Tech Development Plan of China (863) (Grant no. 2015AA020513 to Sui J), and the National Institute of Biomedical Imaging and Bioengineering (1R01EB006841 to Calhoun, VD), the National Institute of General Medical Sciences Center of Biomedical Research Excellence (COBRE) (Grant P20GM103472 to Calhoun, VD), William K. Warren Foundation (to Savitz, JB and Victor, TA), and National Institute of Mental Health ( K01MH096077 to Savitz, JB).
Publisher Copyright:
© 2015 Elsevier B.V. All rights reserved.
PY - 2016/1/15
Y1 - 2016/1/15
N2 - Background Differentiating bipolar disorder (BD) from major depressive disorder (MDD) often poses a major clinical challenge, and optimal clinical care can be hindered by misdiagnoses. This study investigated the differences between BD and MDD in resting-state functional network connectivity (FNC) using a data-driven image analysis method. Methods In this study, fMRI data were collected from unmedicated subjects including 13 BD, 40 MDD and 33 healthy controls (HC). The FNC was calculated between functional brain networks derived from fMRI using group independent component analysis (ICA). Group comparisons were performed on connectivity strengths and other graph measures of FNC matrices. Results Statistical tests showed that, compared to MDD, the FNC in BD was characterized by more closely connected and more efficient topological structures as assessed by graph theory. The differences were found at both the whole-brain-level and the functional-network-level in prefrontal networks located in the dorsolateral/ventrolateral prefrontal cortex (DLPFC, VLPFC) and anterior cingulate cortex (ACC). Furthermore, interconnected structures in these networks in both patient groups were negatively associated with symptom severity on depression rating scales. Limitations As patients were unmedicated, the sample sizes were relatively small, although they were comparable to those in previous fMRI studies comparing BD and MDD. Conclusions Our results suggest that the differences in FNC of the PFC reflect distinct pathophysiological mechanisms in BD and MDD. Such findings ultimately may elucidate the neural pathways in which distinct functional changes can give rise to the clinical differences observed between these syndromes.
AB - Background Differentiating bipolar disorder (BD) from major depressive disorder (MDD) often poses a major clinical challenge, and optimal clinical care can be hindered by misdiagnoses. This study investigated the differences between BD and MDD in resting-state functional network connectivity (FNC) using a data-driven image analysis method. Methods In this study, fMRI data were collected from unmedicated subjects including 13 BD, 40 MDD and 33 healthy controls (HC). The FNC was calculated between functional brain networks derived from fMRI using group independent component analysis (ICA). Group comparisons were performed on connectivity strengths and other graph measures of FNC matrices. Results Statistical tests showed that, compared to MDD, the FNC in BD was characterized by more closely connected and more efficient topological structures as assessed by graph theory. The differences were found at both the whole-brain-level and the functional-network-level in prefrontal networks located in the dorsolateral/ventrolateral prefrontal cortex (DLPFC, VLPFC) and anterior cingulate cortex (ACC). Furthermore, interconnected structures in these networks in both patient groups were negatively associated with symptom severity on depression rating scales. Limitations As patients were unmedicated, the sample sizes were relatively small, although they were comparable to those in previous fMRI studies comparing BD and MDD. Conclusions Our results suggest that the differences in FNC of the PFC reflect distinct pathophysiological mechanisms in BD and MDD. Such findings ultimately may elucidate the neural pathways in which distinct functional changes can give rise to the clinical differences observed between these syndromes.
KW - Bipolar disorders (BD)
KW - Brain networks
KW - Functional network connectivity (FNC)
KW - Graph theory
KW - Major depressive disorder (MDD)
KW - Resting-state fMRI
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U2 - 10.1016/j.jad.2015.10.042
DO - 10.1016/j.jad.2015.10.042
M3 - Article
C2 - 26551408
AN - SCOPUS:84946562152
SN - 0165-0327
VL - 190
SP - 483
EP - 493
JO - Journal of Affective Disorders
JF - Journal of Affective Disorders
ER -