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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Related Experiment Video

Updated: May 15, 2026

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis
09:41

Comprehensive Autopsy Program for Individuals with Multiple Sclerosis

Published on: July 19, 2019

Anatomical brain connectivity can assess cognitive dysfunction in multiple sclerosis.

M Bozzali1, B Spanò, G J M Parker

  • 1Santa Lucia Foundation, Rome, Italy. m.bozzali@hsantalucia.it

Multiple Sclerosis (Houndmills, Basingstoke, England)
|January 18, 2013
PubMed
Summary
This summary is machine-generated.

Anatomical Connectivity Mapping (ACM) reveals brain disconnection in multiple sclerosis (MS) patients. Reduced ACM in specific brain regions correlates with cognitive impairments measured by the Paced-Auditory-Serial-Addition-Test (PASAT).

Keywords:
Anatomical connectivity mappingcognitive dysfunctiondiffusion imagingfractional anisotropymagnetic resonance imagingpaced auditory serial addition testrelapsing–remitting multiple sclerosis

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Area of Science:

  • Neuroimaging
  • Neurology
  • Medical Physics

Background:

  • Brain disconnection is a key factor in cognitive decline in multiple sclerosis (MS).
  • Anatomical Connectivity Mapping (ACM) is a novel diffusion-weighted magnetic resonance imaging (DW-MRI) technique for quantifying structural brain connectivity.

Purpose of the Study:

  • To evaluate structural connectivity changes in MS using ACM.
  • To determine the relationship between ACM findings and Paced-Auditory-Serial-Addition-Test (PASAT) scores in MS patients.

Main Methods:

  • 25 relapsing-remitting MS (RRMS) patients and 25 controls underwent 3T MRI, including DW-MRI.
  • Probabilistic tractography was used to generate ACM maps from fractional anisotropy (FA) images.
  • ACM maps were normalized and transformed into standard space for statistical analysis.

Main Results:

  • RRMS patients exhibited reduced grey matter volume and FA compared to controls.
  • Significant reductions in ACM were observed in the thalamus and caudate nucleus in RRMS patients.
  • ACM in the corpus callosum, hippocampus, and cerebellum was associated with PASAT scores in RRMS patients.

Conclusions:

  • ACM provides novel insights into anatomical brain disconnection in MS.
  • This technique helps clarify the contribution of structural connectivity deficits to clinical disability in MS.