bioRxivNeurosciencePreprint
Cognitive and white-matter compartment models revealed the contribution of microstructural variability along sensorimotor tracts to simple reaction time
Esin KarahaniD, Alison G. CostiganiD, Kim S. GrahamiD, Andrew D. LawrenceiD, Jiaxiang ZhangiD
Abstract
The speed of voluntary reaction to an external stimulus varies substantially between individuals and is impaired in ageing. However, the neuroanatomical origins of inter-individual variability in reaction time (RT) remain largely unknown. Here, we combined a cognitive model of RT and a biophysical compartmental 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.\n\nWe fitted an accumulator model of RT to 46 female 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 (DTI) model.\n\nUsing 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. At an uncorrected threshold, the Ter positively correlated with the DTI measure of fractional anisotropy in an anterior segment of left OR. Further, we found no significant correlation between the microstructural measures and mean RT. Thus, our findings suggest a link between the inter-individual variability of sensorimotor speed and selective microstructural properties in white matter tracts.
- organism: human
- assay: bulk RNA-seq
- assay: spatial transcriptomics
- research focus: differential expression
- approach: statistical model
- Citations
- 1
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