Comparison of FreeSurfer and CAT12 Software in Parcel-Based Cortical Thickness Calculations

Ay, Ulaş; Kizilates-Evin, Gozde; Bayram, Ali; Kurt, Elif; Demiralp, Tamer

doi:10.1007/s10548-022-00919-8

Cited by 13 publications

(4 citation statements)

References 26 publications

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“…Cortical thickness surfaces were smoothed separately with a Gaussian kernel with a full width half-maximum (FWHM) of 15 mm. CAT12’s automatic calculation of cortical thickness has been shown to be valid and highly reliable with FreeSurfer estimates ( Ay et al, 2022 ). Gyrification is the absolute mean curvature at each vertex ( Luders et al, 2006 ) while the gyrification index reflects the local degree of cortical folding using the ratio of pial surface and surface area if no folding were present (i.e., surface ratio) ( Toro et al, 2008 ).…”

Section: Methodsmentioning

confidence: 99%

Loss of control eating in children is associated with altered cortical and subcortical brain structure

Pearce,

Fuchs,

Adise

et al. 2024

Front. Psychol.

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IntroductionLoss of control (LOC) eating is the perceived inability to control how much is eaten, regardless of actual amount consumed. Childhood LOC-eating is a risk factor for the development of binge-eating disorder (BED), but its neurobiological basis is poorly understood. Studies in children with BED have shown both increased gray matter volume in regions related to top-down cognitive control (e.g., dorsolateral prefrontal cortex) and reward-related decision making (e.g., orbital frontal cortex) relative to healthy controls. However, no studies have examined brain structure in children with LOC-eating. To identify potential neurobiological precursors of BED, we conducted secondary analysis of five studies that conducted T1 MPRAGE scans.MethodsA total of 143, 7–12-year-old children (M = 8.9 years, 70 boys) were included in the study, 26% of which (n = 37) reported LOC-eating (semi-structured interview). Age, sex, and obesity status did not differ by LOC-eating. Differences between children with and without LOC were examined for gray matter volume, cortical thickness, gyrification, sulci depth, and cortical complexity after adjusting for age, sex, total intercranial volume, weight status, and study.ResultsChildren with LOC, relative to those without, had greater gray matter volume in right orbital frontal cortex but lower gray matter volume in right parahippocampal gyrus, left CA4/dentate gyrus, and left cerebellar lobule VI. While there were no differences in cortical thickness or gyrification, children with LOC-eating had great sulci depth in left anterior cingulate cortex and cuneus and greater cortical complexity in right insular cortex.DiscussionTogether, this indicates that children with LOC-eating have structural differences in regions related to cognitive control, reward-related decision-making, and regulation of eating behaviors.

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Section: Methodsmentioning

confidence: 99%

Loss of control eating in children is associated with altered cortical and subcortical brain structure

Pearce,

Fuchs,

Adise

et al. 2024

Front. Psychol.

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“…As in our previous studies (Li et al, 2021 ; Lv et al, 2021 ), all structural MRI images were preprocessed using the CAT12 toolbox (version r1113, http://www.neuro.uni-jena.de/cat/ ). There is a growing number of studies demonstrating that the CAT12 can be regarded as a considerable alternative to FreeSurfer for accurate and reliable estimates of CT (Ay et al, 2022 ; Righart et al, 2017 ; Seiger et al, 2018 ). Particularly, the CAT12 offers a volume‐based approach for estimating CT without extensive reconstruction of cortical surface, and thus is timesaving.…”

Section: Methodsmentioning

confidence: 99%

Single‐subject cortical morphological brain networks across the adult lifespan

Wang

et al. 2023

Human Brain Mapping

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Age‐related changes in focal cortical morphology have been well documented in previous literature; however, how interregional coordination patterns of the focal cortical morphology reorganize with advancing age is not well established. In this study, we performed a comprehensive analysis of the topological changes in single‐subject morphological brain networks across the adult lifespan. Specifically, we constructed four types of single‐subject morphological brain networks for 650 participants (aged from 18 to 88 years old), and characterized their topological organization using graph‐based network measures. Age‐related changes in the network measures were examined via linear, quadratic, and cubic models. We found profound age‐related changes in global small‐world attributes and efficiency, local nodal centralities, and interregional similarities of the single‐subject morphological brain networks. The age‐related changes were mainly embodied in cortical thickness networks, involved in frontal regions and highly connected hubs, concentrated on short‐range connections, characterized by linear changes, and susceptible to connections between limbic, frontoparietal, and ventral attention networks. Intriguingly, nonlinear (i.e., quadratic or cubic) age‐related changes were frequently found in the insula and limbic regions, and age‐related cubic changes preferred long‐range morphological connections. Finally, we demonstrated that the morphological similarity in cortical thickness between two frontal regions mediated the relationship between age and cognition measured by Cattell scores. Taken together, these findings deepen our understanding of adaptive changes of the human brain with advancing age, which may account for interindividual variations in behaviors and cognition.

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“…For surface‐based analyses of cortical thickness and gyrification, we applied the automated surface‐preprocessing algorithms implemented in the CAT12 toolbox that allow the simultaneous estimation of cortical thickness and the reconstruction of the central surface of the left and right hemisphere by using the projection‐based thickness method 29 . This methodological approach represents an accurate and robust solution for cortical estimation, representing a reliable and fast alternative to FreeSurfer 30–32 . Using a tissue segmentation to estimate the white matter (WM) distance, the software projects the local maxima (which is equal to the cortical thickness) to other GM voxels by using a neighbor relationship described by the WM distance.…”

Section: Methodsmentioning

confidence: 99%

“… 29 This methodological approach represents an accurate and robust solution for cortical estimation, representing a reliable and fast alternative to FreeSurfer. 30 , 31 , 32 Using a tissue segmentation to estimate the white matter (WM) distance, the software projects the local maxima (which is equal to the cortical thickness) to other GM voxels by using a neighbor relationship described by the WM distance. This approach includes partial volume correction, correction for sulcal blurring and for sulcal asymmetries.…”

Section: Methodsmentioning

confidence: 99%

Cortical signature of depressive symptoms in frontotemporal dementia: A surface‐based analysis

Ghirelli

Tafuri

Urso

et al. 2023

Ann Clin Transl Neurol

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Background and ObjectivesDepressive symptoms are frequently reported in patients affected by frontotemporal dementia (FTD). At structural MRI, cortical features of depressed FTD patients have been poorly described. Our objective was to investigate correlations between cortical measures and depression severity in FTD patients.MethodsData were obtained from the Frontotemporal Lobar Degeneration Neuroimaging Initiative (FTLDNI) database. We included 98 controls and 92 FTD patients, n = 38 behavioral variant FTD (bvFTD), n = 26 non‐fluent variant Primary Progressive Aphasia (nfvPPA), and n = 28 semantic variant Primary Progressive Aphasia (svPPA). Patients underwent clinical and cognitive evaluations, as well as a 3D T1‐weighted MRI on a 3 Tesla scanner (Siemens, Trio Tim system). Depression was evaluated by means of Geriatric Depression Scale (GDS). Surface‐based analysis was performed on T1‐weighted images to evaluate cortical thickness, a measure of gray matter integrity, and local gyrification index (lGI), a quantitative metric of cortical folding.ResultsPatients affected by svPPA were more depressed than controls at NPI and depression severity at GDS was higher in svPPA and bvFTD. Severity of depression correlated with a decrease in lGI in left precentral and superior frontal gyrus, supramarginal and postcentral gyrus and right precentral, supramarginal, superior parietal and superior frontal gyri. Furthermore, depression severity correlated positively with cortical thickness in the left medial orbitofrontal cortex.DiscussionWe found that lGI was associated with depressive symptoms over brain regions involved in the pathophysiology of major depressive disorder. This finding provides novel insights into the mechanisms underlying psychiatric symptoms in FTD.

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Comparison of FreeSurfer and CAT12 Software in Parcel-Based Cortical Thickness Calculations

Cited by 13 publications

References 26 publications

Loss of control eating in children is associated with altered cortical and subcortical brain structure

Loss of control eating in children is associated with altered cortical and subcortical brain structure

Single‐subject cortical morphological brain networks across the adult lifespan

Cortical signature of depressive symptoms in frontotemporal dementia: A surface‐based analysis

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