2022
DOI: 10.1007/s12311-022-01503-3
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Examination of Cerebellar Grey-Matter Volume in Children with Neurodevelopmental Disorders: a Coordinated Analysis Using the ACAPULCO Algorithm

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Cited by 6 publications
(5 citation statements)
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“…53 As such, ADHD-related volume deficits would be expected throughout all phases of injury in our sample. 35 However, our results demonstrated significantly greater deficits in subregional cerebellar volume in the chronic phase of injury, suggesting that ADHD was not a confounding factor.…”
Section: Potential Confoundsmentioning
confidence: 47%
See 1 more Smart Citation
“…53 As such, ADHD-related volume deficits would be expected throughout all phases of injury in our sample. 35 However, our results demonstrated significantly greater deficits in subregional cerebellar volume in the chronic phase of injury, suggesting that ADHD was not a confounding factor.…”
Section: Potential Confoundsmentioning
confidence: 47%
“…Raw 3D T1-weighted MR images were processed using the ENIGMA Cerebellum Pipeline, which is based on the Automatic Cerebellum Anatomical Parcellation using U-Net with Locally Constrained Optimization (ACAPULCO; v 0.2.1) workflow. 5,35,36 Image processing, segmentation, and quality review were conducted at the University of Utah. The cerebellum was segmented into 28 subregions (Figure 1).…”
Section: Image Acquisition Processing and Quality Controlmentioning
confidence: 99%
“…Previous studies using MRI in children with ADHD have observed structural changes in cerebellum and specifically in the vermis ( Castellanos et al, 1996 ; Berquin et al, 1998 ; Mackie et al, 2007 ). A section of the executive/non-motor portion of the cerebellum, the left Crus I result has been shown to have a lower grey-matter volume in ADHD children compared to healthy controls ( Fernandez et al, 2022 ).…”
Section: Methodsmentioning
confidence: 99%
“…Methods are reviewed here with additional detail in eMethods in Supplement 1. Raw 3-dimensional T1-weighted MR images were processed using the ENIGMA Cerebellum Pipeline, based on Automatic Cerebellum Anatomical Parcellation using U-Net with Locally Constrained Optimization (ACAPULCO version 0.2.1; Johns Hopkins University) . Image processing, segmentation, and quality review occurred at the University of Utah.…”
Section: Methodsmentioning
confidence: 99%
“…Raw 3-dimensional T1-weighted MR images were processed using the ENIGMA Cerebellum Pipeline, based on Automatic Cerebellum Anatomical Parcellation using U-Net with Locally Constrained Optimization (ACAPULCO version 0.2.1; Johns Hopkins University). 4,43,44 Image processing, segmentation, and quality review occurred at the University of Utah. The cerebellum was segmented into 28 subregions (eFigure 1 in Supplement 1).…”
Section: Image Acquisition Processing and Quality Controlmentioning
confidence: 99%