Investigating hemodynamic response variability at the group level using basis functions
Autor: | Aaron Reuben, Jason Steffener, Yaakov Stern, Matthias H. Tabert |
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Rok vydání: | 2010 |
Předmět: |
Male
Cognitive Neuroscience Basis function Brain mapping Article Young Adult Neuroimaging Image Interpretation Computer-Assisted Humans General linear model Brain Mapping Basis (linear algebra) business.industry Hemodynamics Brain Pattern recognition Function (mathematics) Magnetic Resonance Imaging Range (mathematics) Neurology Group analysis Cerebrovascular Circulation Female Artificial intelligence Psychology business Neuroscience Photic Stimulation |
Zdroj: | NeuroImage. 49:2113-2122 |
ISSN: | 1053-8119 |
Popis: | Introduced is a general framework for performing group level analyses of fMRI data using any basis set of two functions (i.e. the canonical hemodynamic response function and its first derivative) to model the hemodynamic response to neural activity. The approach allows for flexible implementation of physiologically based restrictions on the results. Information from both basis functions is used at the group level and the limitations avoid physiologically ambiguous or implausible results. This allows for investigation of specific BOLD activity such as hemodynamic responses peaking within a specified temporal range (i.e. 4 to 5 seconds). The general nature of the presented approach allows for applications using basis sets specifically designed to investigate various physiologic phenomena, i.e. age-related variability in post-stimulus undershoot, hemodynamic responses measured with cerebral blood flow imaging or subject specific basis sets. An example using data from a group of healthy young participants demonstrates the methods and the specific steps to study post-stimulus variability are discussed. The approach is completely implemented within the general linear model and requires minimal programmatic calculations. |
Databáze: | OpenAIRE |
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