BrainStat: A toolbox for brain-wide statistics and multimodal feature associations.
Multivariate analysis
Neuroimaging
Univariate analysis
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
01 02 2023
01 02 2023
Historique:
received:
25
05
2022
revised:
28
11
2022
accepted:
09
12
2022
pubmed:
14
12
2022
medline:
10
1
2023
entrez:
13
12
2022
Statut:
ppublish
Résumé
Analysis and interpretation of neuroimaging datasets has become a multidisciplinary endeavor, relying not only on statistical methods, but increasingly on associations with respect to other brain-derived features such as gene expression, histological data, and functional as well as cognitive architectures. Here, we introduce BrainStat - a toolbox for (i) univariate and multivariate linear models in volumetric and surface-based brain imaging datasets, and (ii) multidomain feature association of results with respect to spatial maps of post-mortem gene expression and histology, task-based fMRI meta-analysis, as well as resting-state fMRI motifs across several common surface templates. The combination of statistics and feature associations into a turnkey toolbox streamlines analytical processes and accelerates cross-modal research. The toolbox is implemented in both Python and MATLAB, two widely used programming languages in the neuroimaging and neuroinformatics communities. BrainStat is openly available and complemented by an expandable documentation.
Identifiants
pubmed: 36513290
pii: S1053-8119(22)00928-4
doi: 10.1016/j.neuroimage.2022.119807
pmc: PMC10715099
mid: NIHMS1943202
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
119807Subventions
Organisme : NIBIB NIH HHS
ID : P41 EB019936
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH096906
Pays : United States
Informations de copyright
Copyright © 2022. Published by Elsevier Inc.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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