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Relationship between finger movement characteristics and brain voxel-based morphometry.

Junpei Sugioka1, Shota Suzumura1,2, Katsumi Kuno1

  • 1Department of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.

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Summary
This summary is machine-generated.

Finger tapping movements may help detect Alzheimer's disease (AD) early. Specific finger movement patterns correlate with brain atrophy, aiding in AD diagnosis and severity assessment.

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Area of Science:

  • Neurology
  • Geriatrics
  • Medical Imaging

Background:

  • Aging is the primary risk factor for dementia, with Alzheimer's disease (AD) being the most common form.
  • AD accounts for a significant majority of dementia cases in older adults.

Purpose of the Study:

  • To investigate the relationship between finger movement characteristics and brain volume in Alzheimer's disease patients.
  • To explore the potential of finger-tapping analysis as a diagnostic tool for AD.

Main Methods:

  • Sixty-two AD patients underwent finger-tapping tests measuring movement parameters.
  • Voxel-based regional analysis (VSRAD) software was used to assess medial temporal lobe atrophy from MRI scans.
  • Pearson correlation analysis examined the link between finger movement metrics and brain atrophy severity.

Main Results:

  • A significant negative correlation was found between VSRAD and MoCA-J scores and gray matter atrophy.
  • The standard deviation (SD) of the distance rate of velocity peak in non-dominant hand extending movements positively correlated with medial temporal lobe atrophy severity (r = 0.51; p<0.001).

Conclusions:

  • Finger-tapping movement analysis, particularly the SD of the distance rate of velocity peak, shows promise for early Alzheimer's disease detection.
  • This method may also assist in diagnosing the severity of Alzheimer's disease.