Hemispheric asymmetry of hand and tool perception in left- and right-handers with known language dominance
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Regions in the brain that are selective for images of hands and tools have been suggested to be lateralised to the left hemisphere of right-handed individuals. In left-handers, many functions related to tool use or tool pantomime may also depend more on the left hemisphere. This result seems surprising, given that the dominant hand of these individuals is controlled by the right hemisphere. One explanation is that the left hemisphere is dominant for speech and language in the majority of left-handers, suggesting a supraordinate control system for complex motor sequencing that is required for skilled tool use, as well as for speech. In the present study, we examine if this left-hemispheric specialisation extends to perception of hands and tools in left- and right-handed individuals. We, crucially, also include a group of left-handers with right-hemispheric language dominance to examine their asymmetry biases. The results suggest that tools lateralise to the left hemisphere in most right-handed individuals with left-hemispheric language dominance. Tools also lateralise to the language dominant hemisphere in right-hemispheric language dominant left-handers, but the result for left-hemispheric language dominant left-handers are more varied, and no clear bias towards one hemisphere is found. Hands did not show a group-level asymmetry pattern in any of the groups. These results suggest a more complex picture regarding hemispheric overlap of hand and tool representations, and that visual appearance of tools may be driven in part by both language dominance and the hemisphere which controls the motor-dominant hand. [Abstract copyright: Copyright © 2024 Elsevier Ltd. All rights reserved.]
Keywords
- Cerebral asymmetry, Handedness, Hands, Praxis, Tools, Visual perception
Original language | English |
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Article number | 108837 |
Pages (from-to) | 108837 |
Journal | Neuropsychologia |
Volume | 196 |
Issue number | April |
Early online date | 29 Feb 2024 |
DOIs | |
Publication status | Published - 15 Apr 2024 |