Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method
نویسندگان
چکیده
منابع مشابه
Reliability and reproducibility of individual differences in functional connectivity acquired during task and resting state
OBJECTIVES Application of fMRI connectivity metrics as diagnostic biomarkers at the individual level will require reliability, sensitivity and specificity to longitudinal changes in development, aging, neurocognitive, and behavioral performance and pathologies. Such metrics have not been well characterized for recent advances in BOLD acquisition. EXPERIMENTAL DESIGN Analysis of multiband BOLD...
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UNLABELLED Resting-state functional connectivity, as measured by functional magnetic resonance imaging (fMRI), is often treated as a trait, used, for example, to draw inferences about individual differences in cognitive function, or differences between healthy or diseased populations. However, functional connectivity can also depend on the individual's mental state. In the present study, we exa...
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ژورنال
عنوان ژورنال: NeuroImage
سال: 2021
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2021.118252