Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain

Designing a transcranial electrical stimulation (tES) strategy requires considering multiple objectives, such as intensity in the target area, focality, stimulation depth, and avoidance zone. These objectives are often mutually exclusive. In this paper, we propose a general framework, called multi-o...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Jg. 280; S. 120331
Hauptverfasser:	Wang, Mo, Lou, Kexin, Liu, Zeming, Wei, Pengfei, Liu, Quanying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Inc 15.10.2023 Elsevier Limited Elsevier
Schlagworte:	Algorithms Cognitive ability Electrical stimuli Evolutionary algorithm Genetic algorithms Multi-objective optimization Neuromodulation Optimization Personalized neuromodulation Transcranial alternating current stimulation (tACS) Transcranial electrical stimulation (tES) Transcranial temporal interference stimulation (tTIS) Personalized neuromodulation Transcranial electrical stimulation (tES) Multi-objective optimization Transcranial alternating current stimulation (tACS) Evolutionary algorithm Transcranial temporal interference stimulation (tTIS)
ISSN:	1053-8119, 1095-9572, 1095-9572
Online-Zugang:	Volltext
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