Enhanced design matrix for task-related fMRI data analysis

• Published in: NeuroImage (Orlando, Fla.) Vol. 245; p. 118719
• Main Authors: Morante, Manuel, Kopsinis, Yannis, Chatzichristos, Christos, Protopapas, Athanassios, Theodoridis, Sergios
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.12.2021; Elsevier Limited; Elsevier
• Subjects: Algorithms; Brain mapping; Brain Mapping - methods; Brain research; Data analysis; Datasets as Topic; Dictionary learning; Experiments; fMRI; Functional magnetic resonance imaging; General linear model (GLM); Hemodynamics; Humans; Image Enhancement; Image Processing, Computer-Assisted - methods; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Motion; Physiology; Scanners; Semi-blind; Sensitivity and Specificity; Statistical analysis; Subject variability; fMRI; General linear model (GLM); Subject variability; Semi-blind; Dictionary learning

•A novel methodology to enhance the standard design matrix is proposed within the GLM framework for task-related fMRI data analysis.•The proposed methodology offers an enhanced potential: (a) It efficiently copes with uncertainties in modeling the hemodynamic response. (b) It accommodates unmodeled...