Bihemispheric motor oscillatory network states determine cortical responses to transcranial magnetic stimulation

por Yang Bai, Paolo Belardinelli, Johanna Metsomaa, Ulf Ziemann
Publicado 2021

Individualized decoding of cortical excitability states using single-trial TMS responses analyzed by machine learning

por Johanna Metsomaa, Paolo Belardinelli, Maria Ermolova, Ulf Ziemann, Christoph Zrenner
Publicado 2021

Phase-coupled EEG sources predict motor cortex excitability probed with TMS

por Maria Ermolova, Johanna Metsomaa, Christoph Zrenner, Paolo Belardinelli, Ulf Ziemann
Publicado 2021

Reinforcement machine learning for closed-loop rTMS stimulation of brain networks

por Dania Humaidan, David-Emanuel Vetter, Johanna Metsomaa, Maria Ermolova, Ulf Ziemann
Publicado 2021

Real-time noise removal for closed-loop EEG–TMS

por Tuomas P. Mutanen, Matilda Makkonen, Christoph Zrenner, Johanna Metsomaa, Victor H. Souza, Umair Hassan, Risto J. Ilmoniemi
Publicado 2021

Intrinsic motor network connectivity predicts corticospinal excitability

por Laura Marzetti, Alessio Basti, Federico Chella, Roberto Guidotti, Johanna Metsomaa, Christoph Zrenner, Ulf Ziemann, Risto Ilmoniemi, Gian Luca Romani, Vittorio Pizzella
Publicado 2021

Closed-loop optimization of transcranial magnetic stimulation parameters with electroencephalography feedback

por Aino E. Tervo, Jaakko O. Nieminen, Pantelis Lioumis, Johanna Metsomaa, Victor H. Souza, Heikki Sinisalo, Matti Stenroos, Jukka Sarvas, Risto Ilmoniemi
Publicado 2021