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Towards identifying the neuromodulation network during DBS in epilepsy by Maria Carla Piastra; Kuan K. Kho; Anne Marthe Meppelink; Jacqueline J. Ardesch; Michel J.A.M. van Putten; Marleen C. Tjepkema-Cloostermans is a Neuroscience article available to read on EtoBox.

What is Towards identifying the neuromodulation network during DBS in epilepsy about?

Noninvasive brain stimulation has attracted increasing interest in research and clinical intervention, but its efficacy remains modest. A major reason is that the brain undergoes spontaneous fluctuations in its activity that constitute different "hidden states", only some of which would respond to and benefit from brain stimulation. However, little is known about the dynamics of the brain's responsiveness. Here, we examined such dynamics by acquiring functional magnetic resonance imaging (fMRI) during a 20minute session of alpha-frequency (10 Hz) transcranial alternating current simulation (tACS) or sham stimulation (n/n 1⁄4 13/15) while participants performed a standard sustained attention task. Applying machine learning and Hidden Markov modeling of fMRI timeseries, we isolated 8 brain states, of which 5 displayed meaningful activation/deactivation patterns. We further observed that two of these 5 states were responsive to alpha-tACS. Both states were task-negative state (characterized by the deactivation of the executive control network and salience network and/or activation of the default mode network) and became less stable (i.e., shorter mean lifetime) in the active (vs. sham

Who reads Towards identifying the neuromodulation network during DBS in epilepsy?

Author

Maria Carla Piastra; Kuan K. Kho; Anne Marthe Meppelink; Jacqueline J. Ardesch; Michel J.A.M. van Putten; Marleen C. Tjepkema-Cloostermans

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Neuroscience (Life Sciences)