Searchlight-based multi-voxel pattern analysis of fMRI by cross-validated MANOVA
نویسندگان
چکیده
منابع مشابه
Searchlight-based multi-voxel pattern analysis of fMRI by cross-validated MANOVA
Multi-voxel pattern analysis (MVPA) is a fruitful and increasingly popular complement to traditional univariate methods of analyzing neuroimaging data. We propose to replace the standard 'decoding' approach to searchlight-based MVPA, measuring the performance of a classifier by its accuracy, with a method based on the multivariate form of the general linear model. Following the well-established...
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The central goal of cognitive neuroscience is to understand how information is processed in the brain. To accomplish this goal, researchers studying human cognition are increasingly relying on multi-voxel pattern analysis (MVPA); this method involves analyzing spatially distributed (multi-voxel) patterns of functional MRI activity, with the goal of decoding the information that is represented a...
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Multi-voxel pattern analysis (MVPA) is a popular analytical technique in neuroscience that involves identifying patterns in fMRI BOLD signal data that are predictive of task conditions. But the technique is also frequently used to make inferences about the regions of the brain that are most important to the tasks in question, and our analysis shows that this is a mistake. MVPA does not provide ...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2014
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2013.11.043