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Aberrant Functional Network Connectivity Transition Probabi..:

, In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),

Zendehrouh, Elaheh ; Sendi, Mohammad. S. E. ; Sui, Jing... - p. 1493-1496 , 2020

Link: https://doi.org/10.1109/EMBC44109.2020.9175872

RT 
T1 <cTitle>2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</cTitle>: T1 <Title>Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9175872&Exemplar=1&LAN=DE
				
A1 Zendehrouh, Elaheh
A1 Sendi, Mohammad. S. E.
A1 Sui, Jing
A1 Fu, Zening
A1 Zhi, Dongmei
A1 Lv, Luxian
A1 Ma, Xiaohong
A1 Ke, Qing
A1 Li, Xianbin
A1 Wang, Chuanyue
A1 Abbott, Christopher. C.
A1 Turner, Jessica A.
A1 Miller, Robyn. L
A1 Calhoun, Vince D.
YR 2020
SN 2694-0604
K1 Hidden Markov models
K1 Hospitals
K1 Functional magnetic resonance imaging
K1 Correlation
K1 Probability
K1 Microsoft Windows
K1 Psychiatry
K1 Major depressive disorder
K1 Dynamic functional network connectivity
K1 Machine learning
K1 Resting-state functional magnetic resonance imaging
K1 Hidden Markov model
SP 1493
OP 1496
LK http://dx.doi.org/https://doi.org/10.1109/EMBC44109.2020.9175872
DO https://doi.org/10.1109/EMBC44109.2020.9175872
SF ELIB - SuUB Bremen

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