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Cortical Thickness Predictors of Performance-Based Functional Task Variability in the Alzheimer Disease Spectrum.

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Summary
This summary is machine-generated.

Regional cortical thickness, particularly in the fusiform gyrus, is linked to intraindividual variability in functional task performance among older adults. This finding may offer new clinical trial outcome measures for cognitive decline.

Keywords:
cognitively unimpairedfusiform gyrusmild cognitive impairmentperformance-based measureregression tree

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Area of Science:

  • Neuroscience
  • Gerontology

Background:

  • Cognitive impairment in older adults is associated with changes in brain structure and function.
  • Understanding the neural correlates of functional task performance is crucial for identifying early markers of cognitive decline.

Purpose of the Study:

  • To investigate the association between regional cortical thickness and functional task performance variability in older adults.
  • To identify specific cortical regions that predict intraindividual variability in task completion.

Main Methods:

  • 106 older adults (cognitively unimpaired, mild cognitive impairment, Alzheimer disease) completed a performance-based functional task.
  • Intraindividual variability was measured by the standard deviation of completion times across 6 trials.
  • Regression tree analysis was employed to identify cortical thickness measures predicting task variability.

Main Results:

  • Cortical thickness in temporal, parietal, frontal, and occipital regions significantly predicted intraindividual variability.
  • The fusiform gyrus emerged as a key region, showing prominent association with task variability.
  • These findings highlight the role of learning, executive function, and visuospatial processing in task performance.

Conclusions:

  • Regional cortical thickness, especially in specific brain regions like the fusiform gyrus, is mechanistically linked to variability in functional task performance.
  • This relationship suggests that functional task variability could serve as a valuable outcome measure in clinical trials for cognitive disorders.