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Related Concept Videos

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FreeSurfer subcortical normative data.

Olivier Potvin1, Abderazzak Mouiha1, Louis Dieumegarde1

  • 1Centre de recherche de l׳Institut universitaire en santé mentale de Québec, 2601, de la Canardière, Québec, Canada G1J 2G3.

Data in Brief
|November 11, 2016
PubMed
Summary
This summary is machine-generated.

This study provides a spreadsheet for estimating subcortical brain volumes in adults. It allows for personalized assessments of volume normality based on individual and scanner characteristics.

Keywords:
AgeMagnetic resonanceMorphometryNeuroimagingNormal agingNormalitySex

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Area of Science:

  • Neuroimaging
  • Biostatistics
  • Human Anatomy

Background:

  • Subcortical brain structures are crucial for various functions.
  • Establishing normative volume data across the adult lifespan is essential for clinical and research applications.
  • Previous work has provided normative data for subcortical volumes.

Purpose of the Study:

  • To develop a computational tool for estimating expected subcortical regional volumes in adult individuals.
  • To provide methods for assessing the significance of an individual's subcortical volumes relative to a normative population.
  • To account for individual characteristics and neuroimaging scanner variations in volume estimation.

Main Methods:

  • Utilized anatomical magnetic resonance imaging (MRI) data from 2790 healthy adults (aged 18-94 years) across 23 diverse samples.
  • Employed FreeSurfer software for the segmentation of subcortical brain regions.
  • Developed a spreadsheet with formulas incorporating age, sex, estimated intracranial volume (eTIV), and scanner characteristics.

Main Results:

  • The spreadsheet enables computation of expected subcortical volumes, significance tests for volume abnormality, and effect size.
  • It estimates the percentage of the normative population with smaller volumes for a given individual.
  • Reported detailed R-squared values for predictors and assessed FreeSurfer segmentation consistency across hardware.

Conclusions:

  • The provided spreadsheet serves as a valuable tool for researchers and clinicians to interpret individual subcortical brain volumes.
  • This resource facilitates the identification of potential volume abnormalities by comparing individual data to robust normative values.
  • The study enhances the utility of normative data by incorporating key factors influencing subcortical volumes.