UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Using multi-level Bayesian lesion-symptom mapping to probe the body-part-specificity of gesture imitation skills

Achilles, EIS; Weiss, PH; Fink, GR; Binder, E; Price, CJ; Hope, TMH; (2017) Using multi-level Bayesian lesion-symptom mapping to probe the body-part-specificity of gesture imitation skills. NeuroImage , 161 pp. 94-103. 10.1016/j.neuroimage.2017.08.036. Green open access

[img]
Preview
Text
Hope_Using multi-level Bayesian lesion-symptom mapping to probe the body-part-specificity_.pdf - ["content_typename_Published version" not defined]

Download (2MB) | Preview

Abstract

Past attempts to identify the neural substrates of hand and finger imitation skills in the left hemisphere of the brain have yielded inconsistent results. Here, we analyse those associations in a large sample of 257 left hemisphere stroke patients. By introducing novel Bayesian methods, we characterise lesion symptom associations at three levels: the voxel-level, the single-region level (using anatomically defined regions), and the region-pair level. The results are inconsistent across those three levels and we argue that each level of analysis makes assumptions which constrain the results it can produce. Regardless of the inconsistencies across levels, and contrary to past studies which implicated differential neural substrates for hand and finger imitation, we find no consistent voxels or regions, where damage affects one imitation skill and not the other, at any of the three analysis levels. Our novel Bayesian approach indicates that any apparent differences appear to be driven by an increased sensitivity of hand imitation skills to lesions that also impair finger imitation. In our analyses, the results of the highest level of analysis (region-pairs) emphasise a role of the primary somatosensory and motor cortices, and the occipital lobe in imitation. We argue that this emphasis supports an account of both imitation tasks based on direct sensor-motor connections, which throws doubt on past accounts which imply the need for an intermediate (e.g. body-part-coding) system of representation.

Type: Article
Title: Using multi-level Bayesian lesion-symptom mapping to probe the body-part-specificity of gesture imitation skills
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neuroimage.2017.08.036
Publisher version: https://doi.org/10.1016/j.neuroimage.2017.08.036
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: Apraxia, Bayesian, Imitation, Lesion, Stroke
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: http://discovery.ucl.ac.uk/id/eprint/1572099
Downloads since deposit
59Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item