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Resting-state alpha-band functional connectivity predicts implicit motor adaptation in a Serial Reaction Time Task

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Denomination Maîtrise universitaire en neurosciences
Defense Maîtrise : Univ. Genève, 2018
Abstract The Serial Reaction Time Task (SRTT) is one of the most popular motor sequence learning paradigms. It is generally used to induce implicit learning of a repeated sequence without the participants’ awareness. Besides, daytime offline consolidation of this implicit learning has been reported. Here, we were interested in the link between EEG resting-state alpha-band functional connectivity (FC) and implicit sequence learning and consolidation in healthy individuals. An implicit SRTT was administered to 39 participants, among which 11 also underwent EEG recording. For the latter, global FC was computed voxel-wise using imaginary coherence and correlated with performance in the task. Contrary to what was expected, neither online implicit motor learning nor offline consolidation of the sequence was found. Instead, a rapid and transient effect on response times appeared every time a repeated sequence was followed by random trials. We argue that this effect, commonly observed with the SRTT, is a form of motor adaptation rather than learning...
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TROFIMOVA, Olga. Resting-state alpha-band functional connectivity predicts implicit motor adaptation in a Serial Reaction Time Task. Université de Genève. Maîtrise, 2018. https://archive-ouverte.unige.ch/unige:105659

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Deposited on : 2018-06-18

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