Increasing the effect size in event-related fMRI studies.

Increasing the effect size in event-related fMRI studies.

Independent component analysis (ICA) has proved to be a powerful method for exploratory analysis of functional magnetic resonance imaging (fMRI) data. It has been used to uncover unexpected activations in fMRI data derived from brain activation. ICA has been used to characterize other sources of var...

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הוצא לאור ב:IEEE Engineering in medicine and biology magazine 25, 2 (2006).
מחבר ראשי: McKeown, M.J
פורמט: Article
שפה:English
נושאים:
ICA denoising.
Brain activation.
Data-driven fMRI analysis technique.
Event-related analysis.
Evoked hemodynamic response.
fMRI signal.
Functional magnetic resonance imaging.
Hypothesis-driven methods.
Independent component analysis.
Least squares estimation.
Noise models.
Spatial-temporal structure.
Task-related activity.