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1 Ergebnisse
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Electroencephalographic Network Topologies Predict Antidepr..:
Peng, Yueheng
;
Huang, Yang
;
Chen, Baodan
...
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30 (2022) - p. 2577-2588 , 2022
Link:
https://doi.org/10.1109/tnsre.2022.3203073
RT Journal T1 <Title>Electroencephalographic Network Topologies Predict Antidepressant Responses in Patients With Major Depressive Disorder</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tnsre.2022.3203073&Exemplar=1&LAN=DE A1 Peng, Yueheng A1 Huang, Yang A1 Chen, Baodan A1 He, Mengling A1 Jiang, Lin A1 Li, Yuqin A1 Huang, Xunan A1 Pei, Changfu A1 Zhang, Shu A1 Li, Cunbo A1 Zhang, Xiabing A1 Zhang, Tao A1 Zheng, Yutong A1 Yao, Dezhong A1 Li, Fali A1 Xu, Peng PB Institute of Electrical and Electronics Engineers (IEEE) YR 2022 SN 1534-4320 SN 1558-0210 JF IEEE Transactions on Neural Systems and Rehabilitation Engineering VO 30 SP 2577 OP 2588 LK http://dx.doi.org/https://doi.org/10.1109/tnsre.2022.3203073 DO https://doi.org/10.1109/tnsre.2022.3203073 SF ELIB - SuUB Bremen
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