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Cognitive and White-Matter Compartment Models Reveal Selective Relations between Corticospinal Tract Microstructure and Simple Reaction Time
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Alison G. Costigan ,
Kim S. Graham ,
Andrew D. Lawrence ,
Jiaxiang Zhang
The Journal of Neuroscience, Volume: 39, Issue: 30, Pages: 5910 - 5921
Swansea University Author:
Jiaxiang Zhang
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Copyright © 2019 Karahan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License
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DOI (Published version): 10.1523/jneurosci.2954-18.2019
Abstract
The speed of motor reaction to an external stimulus varies substantially between individuals and is slowed in aging. However, the neuroanatomical origins of interindividual variability in reaction time (RT) remain unclear. Here, we combined a cognitive model of RT and a biophysical compartment model...
| Published in: | The Journal of Neuroscience |
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| ISSN: | 0270-6474 1529-2401 |
| Published: |
Society for Neuroscience
2019
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa61207 |
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| Abstract: |
The speed of motor reaction to an external stimulus varies substantially between individuals and is slowed in aging. However, the neuroanatomical origins of interindividual variability in reaction time (RT) remain unclear. Here, we combined a cognitive model of RT and a biophysical compartment model of diffusion-weighted MRI (DWI) to characterize the relationship between RT and microstructure of the corticospinal tract (CST) and the optic radiation (OR), the primary motor output and visual input pathways associated with visual-motor responses. We fitted an accumulator model of RT to 46 female human participants' behavioral performance in a simple reaction time task. The non-decision time parameter (Ter) derived from the model was used to account for the latencies of stimulus encoding and action initiation. From multi-shell DWI data, we quantified tissue microstructure of the CST and OR with the neurite orientation dispersion and density imaging (NODDI) model as well as the conventional diffusion tensor imaging model. Using novel skeletonization and segmentation approaches, we showed that DWI-based microstructure metrics varied substantially along CST and OR. The Ter of individual participants was negatively correlated with the NODDI measure of the neurite density in the bilateral superior CST. Further, we found no significant correlation between the microstructural measures and mean RT. Thus, our findings suggest a link between interindividual differences in sensorimotor speed and selective microstructural properties in white-matter tracts. |
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| Keywords: |
along tract analysis; cognitive model; microstructure; NODDI; non-decision time; simple reaction time |
| College: |
Faculty of Science and Engineering |
| Funders: |
This work was supported by a European Research Council starting grant (716321), by the Cardiff University Neuroscience and Mental Health Research Institute with a PhD studentship to A.G.C., and by a Wellcome Trust Strategic Award (104943/Z/14/Z) to K.S.G. and A.D.L. |
| Issue: |
30 |
| Start Page: |
5910 |
| End Page: |
5921 |