Statistical parametric mapping: Difference between revisions

Revision as of 18:12, 27 January 2021

Revision as of 01:51, 19 July 2022

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===Statistical comparison===

[[Parametric statistics|Parametric statistical]] models are assumed at each voxel, using the [[general linear model]] to describe the data variability in terms of experimental and confounding effects, with residual variability. Hypotheses expressed in terms of the model parameters are assessed at each voxel with [[Univariate (statistics)|univariate statistics]].

Analyses may examine differences over [[time series|time]] (i.e. correlations between a task variable and brain activity in a certain area) using linear [[convolution]] models of how the measured signal is caused by underlying changes in neural activity.