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Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures.

R Nathan Spreng1,2,3,4, Roni Setton5, Udi Alter6,7

  • 1Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada. nathan.spreng@gmail.com.

Scientific Data
|March 30, 2022
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Summary
This summary is machine-generated.

This study provides valuable neuroimaging and behavioral data from healthy younger and older adults to advance understanding of brain-behavior relationships across the lifespan. The dataset supports research on aging, cognition, and functional MRI analysis.

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Area of Science:

  • Neuroscience
  • Human Behavior
  • Developmental Psychology

Background:

  • Understanding human behavior requires mapping brain-behavior relations across the lifespan.
  • Reproducible scientific discoveries depend on well-powered, reliable data.

Purpose of the Study:

  • To provide a valuable dataset for researchers studying brain-behavior associations in healthy adults.
  • To facilitate research on cross-sectional aging effects and individual differences in cognition and socioemotional functioning.

Main Methods:

  • Acquired multi-echo functional MRI (ME-fMRI) and structural MRI (T1-MPRAGE) from 181 younger (18-34 years) and 120 older adults (60-89 years).
  • Collected T2-FLAIR MRIs and behavioral assessments (cognition, personality, socioemotional functioning) from a subset of over 250 participants.
  • Performed initial quality control and validation of the neuroimaging and behavioral data.

Main Results:

  • The dataset includes high-quality ME-fMRI, structural MRI, and T2-FLAIR data.
  • Comprehensive behavioral assessments cover fluid/crystallized cognition, personality, and socioemotional functioning.
  • Data are publicly available on OpenNeuro and Open Science Framework for scientific use.

Conclusions:

  • This dataset offers a rich resource for investigating BOLD signal isolation using ME-fMRI.
  • It enables research into individual differences in brain-behavior associations and aging effects.
  • The data will advance the scientific community's understanding of cognitive and socioemotional changes with age.