| Title: | Understanding variability in brain MRI templates: Optimal sample sizes for representative population averages |
| Journal: | Aperture Neuro |
| Published: | 10 Mar 2025 |
| DOI: | https://doi.org/10.52294/001c.130075 |
Publication 15623
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Abstract
Average anatomical brain templates are routinely used in neuroanatomical and functional studies. Several widely used anatomical models were historically constructed with different algorithms and a limited number of subjects. We performed an experiment to determine the number of subjects required to achieve a stable population average and to estimate variability in individual subjects' registration. We used a random subset of 2000 subjects from the UK Biobank (between 40 and 60 years of age) to generate a "silver standard" population average and then ran a template generation process with a variable number of subjects from 10 to 320, repeating each draw 50 times in a bootstrapping fashion. We compared two methods which are widely used in the literature to generate population averages (ANIMAL and ANTs). Our results showed that 160 subjects are enough to generate a stable population average, and both methods achieve comparable results, with ANTs having advantage over ANIMAL when a smaller number of subjects are available.</p>
2 Authors
- Vladimir S. Fonov
- D. Louis Collins
1 Application
| Application ID | Title |
|---|---|
| 45551 | Mechanistic modelling of neurodevelopment, neuroplasticity, and neurodegeneration |
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