Presentation 2012-10-11
Separate neural substrates for two distinct rotational transformations in visuomotor learning
Kenji OGAWA, Hiroshi IMAMIZU,
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Abstract(in English) Behavioral studies showed that humans can adapt to conflicting sensorimotor mappings that causes interference after intensive training. While previous researches indicate involvement of distinct brain regions for different types of motor learning (e.g. kinematics vs. dynamics), the neural mechanisms underlying joint adaptation to conflicting mappings within the same type of perturbation (e.g. different angles of visuomotor rotation) remain unclear. To reveal neural substrates that represent multiple sensorimotor mappings, we examined if different mappings can be classified with multi-voxel activity patterns of functional magnetic resonance imaging data. Participants simultaneously adapted to opposite rotational perturbations (+90 and -90 degrees) during visuomotor tracking. To dissociate differences in movement kinematics with rotation-types, we employed two distinct patterns of target motion and tested generalization of the classifier between different combinations of rotation- and motion-types. Results showed that the rotation-types were classified significantly above chance using activities in the primary sensorimotor cortex and the supplementary motor area as well as the anterior part of cerebellum, despite no significant differences in averaged signal amplitudes within the region. Our results reveal that the sensorimotor and cerebellar cortices represent different visuomotor mappings, which permits joint learning and switching between conflicting sensorimotor skills.
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Keyword(in English) Visuomotor learning / Sensorimotor cortex / Cerebellum / fMRI multi-voxel pattern analysis
Paper # MBE2012-38
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Conference Information
Committee MBE
Conference Date 2012/10/4(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Separate neural substrates for two distinct rotational transformations in visuomotor learning
Sub Title (in English)
Keyword(1) Visuomotor learning
Keyword(2) Sensorimotor cortex
Keyword(3) Cerebellum
Keyword(4) fMRI multi-voxel pattern analysis
1st Author's Name Kenji OGAWA
1st Author's Affiliation ATR Cognitive Mechanisms Labs:Japan Society for Promotion of Science()
2nd Author's Name Hiroshi IMAMIZU
2nd Author's Affiliation ATR Cognitive Mechanisms Labs:NICT Center for Information and Neural Networks
Date 2012-10-11
Paper # MBE2012-38
Volume (vol) vol.112
Number (no) 232
Page pp.pp.-
#Pages 6
Date of Issue