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Resting-state global EEG connectivity predicts depression a..:
, In:
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
,
Trambaiolli, Lucas R.
;
Biazoli, Claudinei E.
- p. 3707-3710 , 2020
Link:
https://doi.org/10.1109/EMBC44109.2020.9176161
RT T1 <cTitle>2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</cTitle>: T1 <Title>Resting-state global EEG connectivity predicts depression and anxiety severity</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9176161&Exemplar=1&LAN=DE A1 Trambaiolli, Lucas R. A1 Biazoli, Claudinei E. YR 2020 SN 1558-4615 K1 Electroencephalography K1 Biomarkers K1 Coherence K1 Correlation K1 Support vector machines K1 Functional magnetic resonance imaging K1 Databases SP 3707 OP 3710 LK http://dx.doi.org/https://doi.org/10.1109/EMBC44109.2020.9176161 DO https://doi.org/10.1109/EMBC44109.2020.9176161 SF ELIB - SuUB Bremen
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