Parietal cortex coding of limb posture: In search of the body-schema
- Authors
- Parkinson, Amy; Condon, Laura; Jackson, Stephen R.
- Issue Date
- 9월-2010
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Keywords
- Parietal cortex; Reaching; Frame-of-reference; Posture; Parietal reach region; fMRI; TMS
- Citation
- NEUROPSYCHOLOGIA, v.48, no.11, pp.3228 - 3234
- Indexed
- SCIE
SSCI
AHCI
SCOPUS
- Journal Title
- NEUROPSYCHOLOGIA
- Volume
- 48
- Number
- 11
- Start Page
- 3228
- End Page
- 3234
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/115774
- DOI
- 10.1016/j.neuropsychologia.2010.06.039
- ISSN
- 0028-3932
- Abstract
- Computational theories of motor control propose that the brain uses 'forward' models of the body to ensure accurate control of movements. Forward 'dynamic' models are thought to generate an estimate of the next motor state for an upcoming movement: thereby providing a dynamic representation of the current postural configuration of the body that can be utilised during movement planning and execution. We used event-related functional magnetic resonance imaging [fMRI] to investigate brain areas involved in maintaining and updating the postural representations of the upper limb that participate in the control of reaching movements. We demonstrate that the neural correlates for executing memory-guided reaching movements to unseen target locations that were defined by arm posture, are primarily within regions of the superior parietal lobule [SPL]: including an area of the medial SPL identified as the human homologue of the 'parietal reach region' [PRR]. Using effective connectivity analyses we show that signals that influence the BOLD response within this area originate within premotor areas of the frontal lobe, including premotor cortex and the supplementary motor area. These data are consistent with the view that the SPL maintains an up-to-date estimate of the current postural configuration of the arm that is used during the planning and execution of reaching movements. (C) 2010 Elsevier Ltd. All rights reserved.
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Collections - Graduate School > Department of Brain and Cognitive Engineering > 1. Journal Articles
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