Related Experiment Video
Updated: Feb 15, 2026

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
Published on: August 26, 2014
White matter microstructural organisation of interhemispheric pathways predicts different stages of bimanual
Hamed Zivari Adab1, Sima Chalavi1, Iseult A M Beets1,2
1Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, KU Leuven, Tervuurse Vest 101, Leuven, Belgium.
Abstract:
The ability to learn new motor skills is crucial for activities of daily living, especially in older adults. Previous work in younger adults has indicated fast and slow stages for motor learning that were associated with changes in functional interactions within and between brain hemispheres. However, the impact of the structural scaffolds of these functional interactions on different stages of motor learning remains elusive. Using diffusion-weighted imaging and probabilistic constrained spherical deconvolution-based tractography, we reconstructed transcallosal white matter pathways between the left and right primary motor cortices (M1-M1), left dorsal premotor cortex and right primary motor cortex (LPMd-RM1) and right dorsal premotor cortex and left primary motor cortex (RPMd-LM1) in younger and older adults trained in a set of bimanual coordination tasks. We used fractional anisotropy (FA) to assess microstructural organisation of the reconstructed white matter pathways. Older adults showed lower behavioural performance than younger adults and improved their performance more in the fast but less in the slow stage of learning. Linear mixed models predicted that individuals with higher FA of M1-M1 pathways improve more in the fast but less in the slow stage of bimanual learning. Individuals with higher FA of RPMd-LM1 improve more in the slow but less in the fast stage of bimanual learning. These predictions did not differ significantly between younger and older adults suggesting that, in both younger and older adults, the M1-M1 and RPMd-LM1 pathways are important for the fast and slow stage of bimanual learning, respectively.
More Related Videos
08:36A Versatile Murine Model of Subcortical White Matter Stroke for the Study of Axonal Degeneration and White Matter Neurobiology
Published on: March 17, 2016
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
Related Concept Videos
Classifying Matter by State
Coordination Number and Geometry
Classifying Matter by Composition
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures.
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated.
A mixture is composed of two or...
Coordination Compounds and Nomenclature
Lattice Centering and Coordination Number
Types of Unit Cells
Imagine taking a large number of identical...
Physical and Chemical Properties of Matter