Autohrf-an R package for generating data-informed event models for general linear modeling of task-based fMRI data.

ABSTRACT: The analysis of task-related fMRI data at the level of individual participants is commonly based on general linear modeling (GLM), which allows us to estimate the extent to which the BOLD signal can be explained by the task response predictors specified in the event model. The predictors are constructed by convolving the hypothesized time course of neural activity with an assumed hemodynamic response function (HRF). However, our assumptions about the components of brain activity, including their onset and duration, may be incorrect. Their timing may also differ across brain regions or from person to person, leading to inappropriate or suboptimal models, poor fit of the model to actual data, and invalid estimates of brain activity. Here, we present an approach that uses theoretically driven

SUBMITTER: Purg N 

PROVIDER: S-EPMC10406192 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature