Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single-subject to cortically aligned group general linear model analysis and self-organizing group independent component analysis

• Published in: Human brain mapping Vol. 27; no. 5; pp. 392 - 401
• Main Authors: Goebel, Rainer, Esposito, Fabrizio, Formisano, Elia
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.05.2006
• Subjects: Algorithms; Brain Mapping - methods; Cerebral Cortex - anatomy & histology; Cerebral Cortex - physiology; Cohort Studies; cortex-based analysis; cortical alignment; fMRI data analysis; Frontal Lobe - anatomy & histology; Frontal Lobe - physiology; functional magnetic resonance imaging; Humans; Image Processing, Computer-Assisted - methods; Image Processing, Computer-Assisted - trends; independent component analysis; Language; Language Tests; Linear Models; Magnetic Resonance Imaging - methods; Magnetic Resonance Imaging - trends; Nerve Net - anatomy & histology; Nerve Net - physiology; Principal Component Analysis - methods; Principal Component Analysis - standards; Reproducibility of Results; Software - standards; Software - trends; Speech Perception - physiology; Temporal Lobe - anatomy & histology; Temporal Lobe - physiology; Verbal Behavior - physiology

The Functional Image Analysis Contest (FIAC) 2005 dataset was analyzed using BrainVoyager QX. First, we performed a standard analysis of the functional and anatomical data that includes preprocessing, spatial normalization into Talairach space, hypothesis‐driven statistics (one‐ and two‐factorial, s...