Abstract The stimulation of deep brain structures has thus far only been possible with invasive methods. Transcranial electrical temporal interference stimulation (tTIS) is a novel, noninvasive technology that might overcome this limitation. The initial proof-of-concept was obtained through modeling, physics experiments and rodent models. Here we show successful noninvasive neuromodulation of the striatum via tTIS in humans using computational modeling, functional magnetic resonance imaging studies and behavioral evaluations. Theta-burst patterned striatal tTIS increased activity in the striatum and associated motor network. Furthermore, striatal tTIS enhanced motor performance, especially in healthy older participants as they have lower natural learning skills than younger subjects. These findings place tTIS as an exciting new method to target deep brain structures in humans noninvasively, thus enhancing our understanding of their functional role. Moreover, our results lay the groundwork for innovative, noninvasive treatment strategies for brain disorders in which deep striatal structures play key pathophysiological roles.
Publication scientifique
Noninvasive theta-burst stimulation of the human striatum enhances striatal activity and motor skill learning
Autres publications de la plateforme
Causal disconnectomics of motion perception networks: insights from transcranial magnetic stimulation‐induced...
Boosting hemianopia recovery: the power of interareal cross-frequency brain stimulation
Return of the GEDAI: Unsupervised EEG Denoising based on Leadfield Filtering
Multivariate deep phenotyping reveals behavioral correlates of non-restorative sleep in 22q11.2...
EEG microstate D as psychosis-specific correlate in adolescents and young adults...
EEG correlates of egocentric and altercentric biases in forensic cases with...
Journal de publication
Auteurs:
Date de publication:
Plateforme:
Études récentes de la plateforme

Améliorer la récupération motrice du bras après un AVC

Restaurer le mouvement après une paralysie










