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...

Full description

Saved in:

Bibliographic Details
Published in:	NeuroImage (Orlando, Fla.) Vol. 280; p. 120331
Main Authors:	Wang, Mo, Lou, Kexin, Liu, Zeming, Wei, Pengfei, Liu, Quanying
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier Inc 15.10.2023 Elsevier Limited Elsevier
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!