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FreeSurfer‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts by Philipp G. Sämann; Juan Eugenio Iglesias; Boris Gutman; Dominik Grotegerd; Ramona Leenings; Claas Flint; Udo Dannlowski; Emily K. Clarke‐Rubright; Rajendra A. Morey; Theo G.M. Erp; Christopher D. Whelan; Laura K. M. Han; Laura S. Velzen; Bo Cao; Jean C. Augustinack; Paul M. Thompson; Neda Jahanshad; Lianne Schmaal is a Neuroscience article available to read on EtoBox.
What is FreeSurfer‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts about?
## Abstract Structural hippocampal abnormalities are common in many neurological and psychiatric disorders, and variation in hippocampal measures is related to cognitive performance and other complex phenotypes such as stress sensitivity. Hippocampal subregions are increasingly studied, as automated algorithms have become available for mapping and volume quantification. In the context of the Enhancing Neuro Imaging Genetics through Meta Analysis Consortium, several Disease Working Groups are using the FreeSurfer software to analyze hippocampal subregion (subfield) volumes in patients with neurological and psychiatric conditions along with data from matched controls. In this overview, we explain the algorithm's principles, summarize measurement reliability studies, and demonstrate two additional aspects (subfield autocorrelation and volume/reliability correlation) with illustrative data. We then explain the rationale for a standardized hippocampal subfield segmentation quality control (QC) procedure for improved pipeline harmonization. To guide researchers to make optimal use of the algorithm, we discuss how global size and age effects can be modeled, how QC steps can be incorporate
Who reads FreeSurfer‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts?
It is typically read by researchers, students, and practitioners in Neuroscience.
- Author
- Philipp G. Sämann; Juan Eugenio Iglesias; Boris Gutman; Dominik Grotegerd; Ramona Leenings; Claas Flint; Udo Dannlowski; Emily K. Clarke‐Rubright; Rajendra A. Morey; Theo G.M. Erp; Christopher D. Whelan; Laura K. M. Han; Laura S. Velzen; Bo Cao; Jean C. Augustinack; Paul M. Thompson; Neda Jahanshad; Lianne Schmaal
- Publisher
- Wiley
- Published
- 2020
- Language
- EN
- Field
- Neuroscience (Life Sciences)