ModelArray: An R package for statistical analysis of fixel-wise data

•ModelArray is an R package for statistical analysis of fixel-wise data.•ModelArray supports linear and nonlinear modeling and is extensible to more models.•ModelArray is scalable for large-scale datasets.•ModelArray facilitates easy statistical analysis of large-scale fixel-wise data. Diffusion MRI...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:NeuroImage (Orlando, Fla.) Ročník 271; s. 120037
Hlavní autoři: Zhao, Chenying, Tapera, Tinashe M., Bagautdinova, Joëlle, Bourque, Josiane, Covitz, Sydney, Gur, Raquel E., Gur, Ruben C., Larsen, Bart, Mehta, Kahini, Meisler, Steven L., Murtha, Kristin, Muschelli, John, Roalf, David R., Sydnor, Valerie J., Valcarcel, Alessandra M., Shinohara, Russell T., Cieslak, Matthew, Satterthwaite, Theodore D.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Inc 01.05.2023
Elsevier Limited
Elsevier
Témata:
Big data
Development
Diffusion Magnetic Resonance Imaging - methods
Efficiency
Fixel-based analysis
Humans
Hypotheses
Hypothesis testing
Life span
Mathematical models
Models, Statistical
MRI
Research Design
Software
Statistical analysis
Substantia alba
White Matter
Development
Software
Big data
Statistical analysis
MRI
Fixel-based analysis
ISSN:1053-8119, 1095-9572, 1095-9572
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:•ModelArray is an R package for statistical analysis of fixel-wise data.•ModelArray supports linear and nonlinear modeling and is extensible to more models.•ModelArray is scalable for large-scale datasets.•ModelArray facilitates easy statistical analysis of large-scale fixel-wise data. Diffusion MRI is the dominant non-invasive imaging method used to characterize white matter organization in health and disease. Increasingly, fiber-specific properties within a voxel are analyzed using fixels. While tools for conducting statistical analyses of fixel-wise data exist, currently available tools support only a limited number of statistical models. Here we introduce ModelArray, an R package for mass-univariate statistical analysis of fixel-wise data. At present, ModelArray supports linear models as well as generalized additive models (GAMs), which are particularly useful for studying nonlinear effects in lifespan data. In addition, ModelArray also aims for scalable analysis. With only several lines of code, even large fixel-wise datasets can be analyzed using a standard personal computer. Detailed memory profiling revealed that ModelArray required only limited memory even for large datasets. As an example, we applied ModelArray to fixel-wise data derived from diffusion images acquired as part of the Philadelphia Neurodevelopmental Cohort (n = 938). ModelArray revealed anticipated nonlinear developmental effects in white matter. Moving forward, ModelArray is supported by an open-source software development model that can incorporate additional statistical models and other imaging data types. Taken together, ModelArray provides a flexible and efficient platform for statistical analysis of fixel-wise data. [Display omitted]
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
Contributed equally as senior authors.
ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2023.120037