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Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Updated: Nov 6, 2025

Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
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Tract-specific MRI measures explain learning and recall differences in multiple sclerosis.

Mia Winter1,2, Emma C Tallantyre3,4, Thomas A W Brice3

  • 1Department of Clinical Neuropsychology, University Hospital of Wales, Cardiff, CF14 4XW, UK.

Brain Communications
|May 7, 2021
PubMed
Summary
This summary is machine-generated.

Tract-specific white matter measures better explain cognitive differences in multiple sclerosis than global imaging. Quantifying lesion relationships with specific white matter tracts reveals associations masked by broader measures.

Keywords:
Tractometrybundle loadcognitionlesionometrystructural reserve

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Area of Science:

  • Neuroscience
  • Radiology
  • Cognitive Science

Background:

  • Cognitive difficulties are prevalent in multiple sclerosis (MS).
  • White matter pathology significantly contributes to MS-related cognitive impairment, often appearing early in the disease.
  • Understanding the link between white matter lesions and cognitive function is crucial for early intervention strategies.

Purpose of the Study:

  • To investigate whether quantifying the relationships between white matter lesions and specific white matter structures can better explain cognitive differences in MS compared to whole-brain imaging measures.
  • To identify specific white matter tracts and lesion quantification methods most associated with cognitive performance in MS.

Main Methods:

  • A cross-sectional study involving 40 participants with relapse-onset MS, categorized as cognitively impaired (n=24) or unimpaired (n=16).
  • Participants underwent cognitive testing and 3 Tesla MRI.
  • Six white matter measures were used: conventional T2 lesion load, whole brain tractogram load, whole bundle volume, bundle load, Tractometry, and lesionometry, focusing on specific tracts like the corpus callosum, striato-prefrontal/parietal pathways, and superior longitudinal fasciculi.

Main Results:

  • Tract-specific measures significantly predicted cognitive performance across various tasks (all P-values < 0.05), including verbal fluency, learning, and recall.
  • Specific measures like isthmus bundle load and right striato-parietal lesionometry attenuated group differences in recall tasks.
  • Tract-specific measures demonstrated superior performance over global lesion and tractogram load measures in explaining cognitive variations.

Conclusions:

  • Quantifying the relationship between lesions and tract-specific white matter structures offers a more sensitive approach to understanding MS-related cognitive impairment.
  • These tract-specific measures can uncover cognitive associations masked by global imaging metrics.
  • The findings highlight the potential of advanced white matter imaging techniques for elucidating neuropathology-cognition relationships in MS.