Abnormal Cerebellar Volume in Patients with Remitted Major Depression with Persistent Cognitive Deficits.

"Conflict of Interest DRE has contracts for the development of neuropsychological diagnostic and training tools with Schuhfried GmbH. The other authors declare that they have no conflict of interest."

"Funding Information Open Access funding enabled and organized by Projekt DEAL. This study was funded by the German Research Foundation (DFG; grant numbers: WO 1883/4-1 to RCW, RO 3418/6-1 to DRE)."

"The Statistical Parametric Mapping Software, Version 12 (SPM 12, http://www.fil.ion.ucl.ac.uk/spm), implemented in MATLAB R2019a, was used to analyze MRI data. The Spatially Unbiased Infratentorial Toolbox (SUIT, http://www.diedrichsenlab.org/ima-ging/suit.htm) was used for cerebellum-optimized VBM. Individual T1-weighted sequences were controlled for scanner artifacts and the image origin was set at the anterior commissure. The infratentorial structures, i.e., cerebellum and brain stem, were isolated from the surrounding tissue. Using the unified segmentation approach [], the infratentorial structures were segmented into gray matter (GM), white matter, and cerebrospinal fluid. Using the Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra (DARTEL) algorithm [], the individual GM segments were registered onto the SUIT atlas template. In order to preserve individual anatomical differences, the GM probability maps were modulated using the deformation fields that resulted from the registration procedure, providing GMV maps []. The GMV maps were smoothed with a Gaussian kernel of 4-mm full width at half-maximum (FWHM) []."