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Related Concept Videos

Lateralization01:28

Lateralization

268
Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
268
Cerebral Hemispheres01:05

Cerebral Hemispheres

226
The human brain, a complex organ, is functionally divided into two cerebral hemispheres—left and right. These hemispheres are interconnected by a structure of paramount importance, the corpus callosum. This substantial bundle of neural fibers is not just a bridge between the hemispheres but a crucial element for the brain's comprehensive functioning. It enables efficient communication between the two hemispheres, allowing each side of the brain to control and receive sensory and motor...
226

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Related Experiment Video

Updated: May 13, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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ESTIMATING FIBER ORIENTATION DISTRIBUTION WITH APPLICATION TO STUDY BRAIN LATERALIZATION USING HCP D-MRI DATA.

Seungyong Hwang1,2, Thomas C M Lee1, Debashis Paul1

  • 1Department of Statistics, University of California, Davis.

The Annals of Applied Statistics
|May 9, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces the blockwise James-Stein (BJS) estimator for diffusion-weighted MRI, revealing significant differences in superior longitudinal fasciculus (SLF) brain lateralization between right-handed and left-handed individuals.

Keywords:
James–Stein estimatorNeuroimagingspherical convolutiontractography

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Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Biophysics

Background:

  • Diffusion-weighted magnetic resonance imaging (D-MRI) noninvasively characterizes tissue microstructure.
  • White matter fiber tract reconstruction is a key D-MRI application, estimating water diffusion to infer fiber directions.
  • Fiber Orientation Distribution (FOD) functions model voxel-level directional information.

Purpose of the Study:

  • To propose a computationally scalable FOD estimator, the blockwise James-Stein (BJS) estimator.
  • To investigate the association between the lateralization of the superior longitudinal fasciculus (SLF) and handedness using D-MRI data.
  • To quantify hemispheric asymmetry of the SLF and its relationship with handedness.

Main Methods:

  • Developed and applied the blockwise James-Stein (BJS) estimator for FOD estimation from D-MRI data.
  • Utilized Human Connectome Project (HCP) D-MRI data for analysis.
  • Reconstructed SLF tracts using a tractography algorithm and derived a lateralization score quantifying hemispheric asymmetry.

Main Results:

  • The BJS estimator was applied to HCP D-MRI data.
  • SLF tracts were reconstructed, and a lateralization score was computed for each subject.
  • Analysis revealed significant effects of handedness on SLF lateralization, suggesting differences between right-handed and left-handed individuals.

Conclusions:

  • The blockwise James-Stein (BJS) estimator provides a scalable method for D-MRI analysis.
  • SLF lateralization differs significantly between right-handed and left-handed individuals.
  • This finding contributes to understanding brain lateralization and its relationship with handedness.