Dissociating visual and motor directional selectivity using visuomotor adaptation
File(s)
Author(s)
Haar, Shlomi
Donchin, Opher
Dinstein, Ilan
Type
Journal Article
Abstract
Directional selectivity during visually guided hand movements is a fundamental characteristic of neural populations in multiple motor
areas of the primate brain. In the current study, we assessed how directional selectivity changes when reaching movements are dissociated from their visual feedback by rotating the visual field. We recorded simultaneous movement kinematics and fMRI activity while
human subjects performed out-and-back movements to four peripheral targets before and after adaptation to a 45° visuomotor rotation.
A classification algorithm was trained to identify movement direction according to voxel-by-voxel fMRI patterns in each of several brain
areas. The direction of movements was successfully decoded with above-chance accuracy in multiple motor and visual areas when
training and testing the classifier on trials within each condition, thereby demonstrating the existence of directionally selective fMRI
patterns within each stage ofthe experiment. Most importantly, whentrainingthe classifier on baselinetrials and decoding rotatedtrials,
motor brain areas exhibited above-chance decoding according to the original movement direction and visual brain areas exhibited
above-chance decoding according to the rotated visual target location, while posterior parietal cortex (PPC) exhibited chance-level
decoding according to both. These results reveal that directionally selective fMRI patterns in motor system areas faithfully represent
movement direction regardless of visual feedback, while fMRI patterns in visual system areas faithfully represent target location regardless of movement direction. Directionally selective fMRI patterns in PPC, however, were altered following adaptation learning, thereby
suggesting that the novel visuomotor mapping, which was learned during visuomotor adaptation, is stored in PPC.
areas of the primate brain. In the current study, we assessed how directional selectivity changes when reaching movements are dissociated from their visual feedback by rotating the visual field. We recorded simultaneous movement kinematics and fMRI activity while
human subjects performed out-and-back movements to four peripheral targets before and after adaptation to a 45° visuomotor rotation.
A classification algorithm was trained to identify movement direction according to voxel-by-voxel fMRI patterns in each of several brain
areas. The direction of movements was successfully decoded with above-chance accuracy in multiple motor and visual areas when
training and testing the classifier on trials within each condition, thereby demonstrating the existence of directionally selective fMRI
patterns within each stage ofthe experiment. Most importantly, whentrainingthe classifier on baselinetrials and decoding rotatedtrials,
motor brain areas exhibited above-chance decoding according to the original movement direction and visual brain areas exhibited
above-chance decoding according to the rotated visual target location, while posterior parietal cortex (PPC) exhibited chance-level
decoding according to both. These results reveal that directionally selective fMRI patterns in motor system areas faithfully represent
movement direction regardless of visual feedback, while fMRI patterns in visual system areas faithfully represent target location regardless of movement direction. Directionally selective fMRI patterns in PPC, however, were altered following adaptation learning, thereby
suggesting that the novel visuomotor mapping, which was learned during visuomotor adaptation, is stored in PPC.
Date Issued
2015-04-29
Date Acceptance
2015-03-21
Citation
The Journal of Neuroscience, 2015, 35 (17), pp.6813-6821
ISSN
0270-6474
Publisher
Society for Neuroscience
Start Page
6813
End Page
6821
Journal / Book Title
The Journal of Neuroscience
Volume
35
Issue
17
Copyright Statement
Copyright © 2015 the authors. For articles published after 2014, the Society for Neuroscience (SfN) retains an exclusive license to publish the article for 6 months; after 6 months, the work becomes available to the public to copy, distribute, or display under the terms of the Creative Commons Attribution 4.0 International License (CC-BY). This license allows data and text mining, use of figures in presentations, and posting the article online, provided that the original article is credited.
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000353647600016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
AREA
ARM MOVEMENTS
CORTEX
directional selectivity
fMRI
Life Sciences & Biomedicine
MVPA
Neurosciences
Neurosciences & Neurology
out-and-back reaching
PATTERNS
POSTERIOR PARIETAL
REACHING MOVEMENTS
REGIONS
REPRESENTATIONS
Science & Technology
visuomotor rotation
Publication Status
Published
Date Publish Online
2015-04-29