Computational anatomy toolbox
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| This article, Computational anatomy toolbox, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
Reviewer tools: Inform author |
 | |
| Developer(s) | Structural Brain Mapping Group Christian Gaser Robert Dahnke |
|---|---|
| Stable release | 12.9
/ 25 May 2024 |
| Repository | github |
| Written in | Matlab, C |
| Operating system | Linux, macOS, Windows |
| Platform | MATLAB, SPM |
| Type | Neuroimaging data analysis |
| License | GNU_General_Public_License |
| Website | neuro-jena |
CAT (Computational Anatomy Toolbox) is a free and open source software package used for the analysis of structural brain imaging data, in particular magnetic resonance imaging (MRI).[1]. Developed by Christian Gaser and Robert Dahnke of the Structural Brain Mapping Group at the University of Jena, CAT is an extension of the SPM software platform.
Features
- Voxel-Based Morphometry (VBM)[2]: Provides tools for analysing brain tissue volume, focusing on gray matter, white matter, and cerebrospinal fluid.
- Surface-Based Morphometry (SBM): Offers capabilities for cortical surface analysis, including measurements of cortical thickness [3], folding [4], and gyrification [5].
- Region- or Label-Based Morphometry: Allows for structural assessments within predefined brain regions or anatomical labels.
- Integrated Quality Control: Automated pipelines ensure high-quality data preprocessing and analysis.
- Longitudinal Analysis: Supports the study of brain changes over time through longitudinal data analysis [6]
Applications
CAT is used to study brain structure in various populations, including studies of neurodevelopment, ageing, neurodegenerative diseases, and mental disorders [7].
Integration with SPM
CAT is designed to work within the SPM environment, taking advantage of SPM's statistical analysis, image preprocessing, and data visualisation capabilities. This integration allows users to combine the structural analysis capabilities of CAT with the functional and statistical tools provided by SPM.
Related software
References
- ^ Gaser C, Dahnke R, Thompson PM, et al. (Aug 2024). "CAT: a computational anatomy toolbox for the analysis of structural MRI data". GigaScience. 13: giae049. doi:10.1093/gigascience/giae049. PMC 11299546. PMID 39102518.
- ^ Ashburner J, Friston KJ (Jun 2000). "Voxel-based morphometry--the methods". NeuroImage. 11: 805–21. doi:10.1006/nimg.2000.0582. PMID 10860804.
- ^ Dahnke R, Yotter RA, Gaser C (Jan 2013). "Cortical thickness and central surface estimation". NeuroImage. 65: 336–48. doi:10.1016/j.neuroimage.2012.09.050. PMID 23041529.
- ^ Yotter RA, Nenadic I, Ziegler G, et al. (Jun 2011). "Local cortical surface complexity maps from spherical harmonic reconstructions". NeuroImage. 56 (3): 961–73. doi:10.1016/j.neuroimage.2011.02.007. PMID 21315159.
- ^ Luders E, Thompson PM, Narr KL, et al. (Jul 2009). "A curvature-based approach to estimate local gyrification on the cortical surface". NeuroImage. 29 (4): 1224–30. doi:10.1016/j.neuroimage.2005.08.049. PMID 16223589.
- ^ Draganski B, Gaser C, Busch V, et al. (Jan 2004). "Neuroplasticity: changes in grey matter induced by training". Nature. 427 (6972): 311–2. doi:10.1038/427311a. PMID 14737157.
- ^ Koutsouleris N, Meisenzahl EM, Davatzikos C, et al. (Jul 2009). "Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition". Arch Gen Psychiatry. 66 (7): 700–12. doi:10.1001/archgenpsychiatry.2009.62. PMC 4135464. PMID 19581561.