PMID- 32734435
OWN - NLM
STAT- MEDLINE
DCOM- 20210720
LR  - 20221110
IS  - 1931-7565 (Electronic)
IS  - 1931-7557 (Print)
IS  - 1931-7557 (Linking)
VI  - 15
IP  - 3
DP  - 2021 Jun
TI  - Cross-network interaction for diagnosis of major depressive disorder based on 
      resting state functional connectivity.
PG  - 1279-1289
LID - 10.1007/s11682-020-00326-2 [doi]
AB  - Previous studies have suggested that resting-state functional connectivity plays 
      a central role in the physiopathology of major depressive disorder (MDD). 
      However, the individualized diagnosis of MDD based on resting-state functional 
      connectivity is still unclear, especially in first episode drug-naive patients 
      with MDD. Resting state functional magnetic resonance imaging was enrolled from 
      30 first episode drug-naive patients with MDD and age- and gender-matched 31 
      healthy controls. Whole brain functional connectivity was computed and viewed as 
      classification features. Multivariate pattern analysis (MVPA) was performed to 
      discriminate patients with MDD from controls. The experimental results exhibited 
      a correct classification rate of 82.25% (p < 0.001) with sensitivity of 83.87% 
      and specificity of 80.64%. Almost all of the consensus connections (125/128) were 
      cross-network interaction among default mode network (DMN), salience network 
      (SN), central executive network (CEN), visual cortex network (VN), Cerebellum and 
      Other. Moreover, the supramarginal gyrus exhibited high discriminative power in 
      classification. Our findings suggested cross-network interaction can be used as 
      an effective biomarker for MDD clinical diagnosis, which may reveal the potential 
      pathological mechanism for major depression. The current study further confirmed 
      reliable application of MVPA in discriminating MDD patients from healthy 
      controls.
CI  - (c) 2020. The Author(s).
FAU - Zhu, Xueling
AU  - Zhu X
AD  - Department of Radiology, Xiangya Hospital, Central South University, Changsha, 
      China.
AD  - National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 
      Central South University, Changsha, China.
FAU - Yuan, Fulai
AU  - Yuan F
AD  - Health Management Center, Xiangya Hospital, Central South University, Changsha, 
      China.
FAU - Zhou, Gaofeng
AU  - Zhou G
AD  - Department of Radiology, Xiangya Hospital, Central South University, Changsha, 
      China.
FAU - Nie, Jilin
AU  - Nie J
AD  - Department of Radiology, Xiangya Hospital, Central South University, Changsha, 
      China.
FAU - Wang, Dongcui
AU  - Wang D
AD  - Department of Radiology, Xiangya Hospital, Central South University, Changsha, 
      China.
FAU - Hu, Ping
AU  - Hu P
AD  - Department of Radiology, Xiangya Hospital, Central South University, Changsha, 
      China.
FAU - Ouyang, Lirong
AU  - Ouyang L
AD  - Department of Radiology, Xiangya Hospital, Central South University, Changsha, 
      China.
FAU - Kong, Lingyu
AU  - Kong L
AD  - Department of Radiology, Xiangya Hospital, Central South University, Changsha, 
      China.
FAU - Liao, Weihua
AU  - Liao W
AD  - Department of Radiology, Xiangya Hospital, Central South University, Changsha, 
      China. 109731926@qq.com.
AD  - National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, 
      Central South University, Changsha, China. 109731926@qq.com.
LA  - eng
GR  - 61972460/National Natural Science Foundation of China/
GR  - 61802443/National Natural Science Foundation of China/
GR  - 2019JJ20037/Natural Science Foundation of Hunan Province/
GR  - 201411/Foundation for the Author of National Excellent Doctoral Dissertation of 
      the People's Republic of China (CN)/
GR  - 17YBA426/Philosophy and Social Science Fund Project of Hunan Province/
GR  - 2017Q19/Youth Science fund of Xiangya hospital, central south university/
PT  - Journal Article
PL  - United States
TA  - Brain Imaging Behav
JT  - Brain imaging and behavior
JID - 101300405
SB  - IM
MH  - Brain/diagnostic imaging
MH  - Brain Mapping
MH  - *Depressive Disorder, Major/diagnostic imaging
MH  - Humans
MH  - Magnetic Resonance Imaging
MH  - Parietal Lobe
PMC - PMC8286225
OTO - NOTNLM
OT  - Cross-network interaction
OT  - Functional connectivity
OT  - Major depressive disorder
OT  - Multivariate pattern analysis
OT  - Resting-state fMRI
COIS- The authors declare no conflict of interest.
EDAT- 2020/08/01 06:00
MHDA- 2021/07/21 06:00
PMCR- 2020/07/30
CRDT- 2020/08/01 06:00
PHST- 2020/08/01 06:00 [pubmed]
PHST- 2021/07/21 06:00 [medline]
PHST- 2020/08/01 06:00 [entrez]
PHST- 2020/07/30 00:00 [pmc-release]
AID - 10.1007/s11682-020-00326-2 [pii]
AID - 326 [pii]
AID - 10.1007/s11682-020-00326-2 [doi]
PST - ppublish
SO  - Brain Imaging Behav. 2021 Jun;15(3):1279-1289. doi: 10.1007/s11682-020-00326-2.