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Clinical Manifestations.

Ileana De Anda-Duran1, Phillip H Hwang2, Elizabeth Leverant3

  • 1Celia Scott Weatherhead Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.

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Summary
This summary is machine-generated.

The digital Trail Making Test-Part B (dTMT-B) effectively differentiates mild cognitive impairment (MCI) from normal cognition (NC) using novel process metrics. The dTMT-B stroke index is particularly useful for classifying patients with cognitive changes.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Digital Health

Background:

  • The traditional Trail Making Test-Part B (TMT-B) assesses neurocognitive and motor skills.
  • Digital versions (dTMT-B) offer novel process metrics for enhanced assessment.
  • Distinguishing mild cognitive impairment (MCI) from normal cognition (NC) is crucial for early intervention.

Purpose of the Study:

  • To analyze novel process metrics from a digital TMT-B (dTMT-B) to differentiate MCI from NC.
  • To explore the relationship between dTMT-B metrics and traditional neuropsychological tests.
  • To develop new indices for assessing cognitive function.

Main Methods:

  • Fifty-eight memory clinic patients were classified as MCI or NC.
  • A digital TMT-B (dTMT-B) measured metrics like completion time, hit duration, pen strokes, distance, velocity, and efficiency.
  • Indices for time, strokes, and motor control were created.

Main Results:

  • MCI patients were older, less educated, and scored lower on the MMSE than NC patients.
  • MCI patients showed significantly slower total and hit durations, and produced more pen strokes and longer distances on the dTMT-B.
  • The dTMT-B stroke index was the most effective in classifying patients; time and stroke indices correlated with attention, working memory, and language tests.

Conclusions:

  • Novel dTMT-B indices measuring time-based and motor operations can differentiate MCI from NC.
  • The dTMT-B stroke index shows promise for classifying cognitive impairment.
  • Further research is needed to validate these dTMT-B indices for detecting early cognitive decline.