Quantifying numerical and spatial reliability of hippocampal and amygdala subdivisions in FreeSurfer.

ABSTRACT: On-going, large-scale neuroimaging initiatives can aid in uncovering neurobiological causes and correlates of poor mental health, disease pathology, and many other important conditions. As projects grow in scale with hundreds, even thousands, of individual participants and scans collected, quantification of brain structures by automated algorithms is becoming the only truly tractable approach. Here, we assessed the spatial and numerical reliability for newly deployed automated segmentation of hippocampal subfields and amygdala nuclei in FreeSurfer 7. In a sample of participants with repeated structural imaging scans (N = 928), we found numerical reliability (as assessed by intraclass correlations, ICCs) was reasonable. Approximately 95% of hippocampal subfields had "excellent" numerical re

SUBMITTER: Kahhale I 

PROVIDER: S-EPMC10082143 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature