CIVET-Chimp: An automated pipeline for MRI-based cortical surface extraction in chimpanzees.
Level 5 - mechanism / opinion, no new human data
Level 5 by design analogy: computational pipeline development and non-human primate imaging methodology.
PubMed 42318323 · doi:10.1016/j.ynirp.2026.100360
What was done
The authors adapted the MNI CIVET automated pipeline to process in vivo chimpanzee (Pan troglodytes) magnetic resonance imaging (MRI) data from the National Chimpanzee Brain Resource (NCBR) 3 T dataset. Processing was performed in a standardized MNI-like NCBR reference space. The authors created a population-average surface with Davi130 and Brainnetome parcellations for surface-based registration and ROI analyses, and created surface-based transformations mapping human average surfaces (MNI152 and fsavg) to the chimpanzee template.
What was found
The abstract reports no numerical data, performance metrics, or accuracy measures. It describes the implementation of the pipeline, details modifications made to adapt CIVET from macaques to chimpanzees, and reports that cortical thickness maps obtained for NCBR subjects were compared with previously published maps.
Why it matters
This tool provides an automated, standardized framework for chimpanzee cortical surface extraction, facilitating large-scale non-human primate neuroimaging and cross-species comparisons with human brains.
Limits
The abstract does not state the sample size of chimpanzee scans used for testing and validation. No quantitative validation metrics (such as segmentation accuracy, surface reconstruction error, or test-retest reliability) are provided in the abstract.
Cited by
- context Humans have four times as much cerebral cortex as their nearest evolutionary relatives in the animal kingdom.