Publication scientifique

AccueilNon-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

Abstract Reinforcement feedback can improve motor learning, but the underlying brain mechanisms remain underexplored. In particular, the causal contribution of specific patterns of oscillatory activity within the human striatum is unknown. To address this question, we exploited a recently developed non-invasive deep brain stimulation technique called transcranial temporal interference stimulation (tTIS) during reinforcement motor learning with concurrent neuroimaging, in a randomized, sham-controlled, double-blind study. Striatal tTIS applied at 80 Hz, but not at 20 Hz, abolished the benefits of reinforcement on motor learning. This effect was related to a selective modulation of neural activity within the striatum. Moreover, 80 Hz, but not 20 Hz, tTIS increased the neuromodulatory influence of the striatum on frontal areas involved in reinforcement motor learning. These results show that tTIS can non-invasively and selectively modulate a striatal mechanism involved in reinforcement learning, expanding our tools for the study of causal relationships between deep brain structures and human behaviour.

Autres publications de la plateforme

Causal disconnectomics of motion perception networks: insights from transcranial magnetic stimulation‐induced...

Raffin, Estelle; Salamanca‐Giron, Roberto F.; Huxlin, Krystel R.; Reynaud, Olivier; Mattera, Loan; Martuzzi, Roberto; Hummel, Friedhelm C.
The Journal of Physiology
Plateforme M/EEG & Neuromod (MEG)

Boosting hemianopia recovery: the power of interareal cross-frequency brain stimulation

Raffin, Estelle; Bevilacqua, Michele; Windel, Fabienne; Menoud, Pauline; Salamanca-Giron, Roberto F; Feroldi, Sarah; Zandvliet, Sarah B; Ramdass, Nicola; Draaisma, Laurijn; Vuilleumier, Patrik; Guggisberg, Adrian G; Bonvin, Christophe; Fleury, Lisa; Huxlin, Krystel R; Beanato, Elena; Hummel, Friedhelm C
Brain

Return of the GEDAI: Unsupervised EEG Denoising based on Leadfield Filtering

Ros, Tomas; Férat, Victor; Huang, Yingqi; Colangelo, Cristina; Kia, Seyed Mostafa; Wolfers, Thomas; Vulliemoz, Serge; Michela, Abele

Multivariate deep phenotyping reveals behavioral correlates of non-restorative sleep in 22q11.2...

Reich, Natacha; Imparato, Andrea; Cataldi, Jacinthe; Thillainathan, Niveettha; Delavari, Farnaz; Schneider, Maude; Eliez, Stephan; Siclari, Francesca; Sandini, Corrado
Psychiatry Research

EEG microstate D as psychosis-specific correlate in adolescents and young adults...

Liebrand, Matthias; Katsarakis, Angelos; Josi, Johannes; Diezig, Sarah; Michel, Chantal; Schultze-Lutter, Frauke; Rochas, Vincent; Mancini, Valentina; Kaess, Michael; Hubl, Daniela; Koenig, Thomas; Kindler, Jochen
Schizophrenia Research

EEG correlates of egocentric and altercentric biases in forensic cases with...

Rochas, Vincent; Montandon, Marie-Louise; Rodriguez, Cristelle; Herrmann, François R.; Eytan, Ariel; Pegna, Alan J.; Michel, Christoph M.; Giannakopoulos, Panteleimon
Frontiers in Neuroscience

Journal de publication

Nature Human Behaviour

Auteurs:

Vassiliadis, Pierre; Beanato, Elena; Popa, Traian; Windel, Fabienne; Morishita, Takuya; Neufeld, Esra; Duque, Julie; Derosiere, Gerard; Wessel, Maximilian J.; Hummel, Friedhelm C.

Date de publication:

Plateforme:

Études récentes de la plateforme

Neuro-ingénierieNeurosciences cliniques et translationnelles

Améliorer la récupération motrice du bras après un AVC

Stimuler les réseaux cérébraux pour la récupération INSPIRE utilise une technique de stimulation cérébrale non invasive pour activer les zones clés du cerveau impliquées...
Plateforme M/EEG & Neuromod (MEG)

Restaurer le mouvement après une paralysie

Stimulation électrique de la moëlle épinière Un réseau d’électrodes implantables, connecté à un stimulateur implanté, délivre des impulsions électriques aux différents nerfs spinaux. Chaque...

Comment les souvenirs évoluent-ils avec le temps ?

Une fenêtre sur le cerveau La magnétoencéphalographie (MEG) nous permet d’enregistrer l’activité neuronale avec une grande précision spatiale et temporelle. Nous utilisons cette technique...
Plateforme de Recherche Clinique et sur le Sommeil (CSR)Plateforme M/EEG & Neuromod (MEG)