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Motor sequences; separating the sequence from the motor. A longitudinal rsfMRI study.
Jäger, Anna-Thekla P; Huntenburg, Julia M; Tremblay, Stefanie A; Schneider, Uta; Grahl, Sophia; Huck, Julia; Tardif, Christine L; Villringer, Arno; Gauthier, Claudine J; Bazin, Pierre-Louis; Steele, Christopher J.
Afiliación
  • Jäger AP; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. annatheklajaeger@gmail.com.
  • Huntenburg JM; Center for Stroke Research Berlin (CSB), Charité-Universitätsmedizin Berlin, Berlin, Germany. annatheklajaeger@gmail.com.
  • Tremblay SA; Neuroscience Programme, Champalimaud Research, Lisbon, Portugal.
  • Schneider U; Department of Physics/Perform Center, Concordia University, Montreal, QC, Canada.
  • Grahl S; Montreal Heart Institute, Montreal, QC, Canada.
  • Huck J; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
  • Tardif CL; Clinic of Neurology, Technical University Munich, Munich, Germany.
  • Villringer A; Department of Physics/Perform Center, Concordia University, Montreal, QC, Canada.
  • Gauthier CJ; Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.
  • Bazin PL; Montreal Neurological Institute, Montreal, QC, Canada.
  • Steele CJ; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Brain Struct Funct ; 227(3): 793-807, 2022 Apr.
Article en En | MEDLINE | ID: mdl-34704176
ABSTRACT
In motor learning, sequence specificity, i.e. the learning of specific sequential associations, has predominantly been studied using task-based fMRI paradigms. However, offline changes in resting state functional connectivity after sequence-specific motor learning are less well understood. Previous research has established that plastic changes following motor learning can be divided into stages including fast learning, slow learning and retention. A description of how resting state functional connectivity after sequence-specific motor sequence learning (MSL) develops across these stages is missing. This study aimed to identify plastic alterations in whole-brain functional connectivity after learning a complex motor sequence by contrasting an active group who learned a complex sequence with a control group who performed a control task matched for motor execution. Resting state fMRI and behavioural performance were collected in both groups over the course of 5 consecutive training days and at follow-up after 12 days to encompass fast learning, slow learning, overall learning and retention. Between-group interaction analyses showed sequence-specific decreases in functional connectivity during overall learning in the right supplementary motor area (SMA). We found that connectivity changes in a key region of the motor network, the superior parietal cortex (SPC) were not a result of sequence-specific learning but were instead linked to motor execution. Our study confirms the sequence-specific role of SMA that has previously been identified in online task-based learning studies, and extends it to resting state network changes after sequence-specific MSL.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Mapeo Encefálico / Corteza Motora Tipo de estudio: Risk_factors_studies Idioma: En Revista: Brain Struct Funct Asunto de la revista: CEREBRO Año: 2022 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Mapeo Encefálico / Corteza Motora Tipo de estudio: Risk_factors_studies Idioma: En Revista: Brain Struct Funct Asunto de la revista: CEREBRO Año: 2022 Tipo del documento: Article País de afiliación: Alemania
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