Joint Sparse Representation of Brain Activity Patterns in Multi-Task fMRI Data

• Published in: IEEE transactions on medical imaging Vol. 34; no. 1; pp. 2 - 12
• Main Authors: Ramezani, M., Marble, K., Trang, H., Johnsrude, I. S., Abolmaesumi, P.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Activation; Adult; Age; Aged; Algorithm design and analysis; Brain; Brain - anatomy & histology; Brain - physiology; Brain activations; Brain Mapping - methods; Brain research; Computer Simulation; Databases, Factual; Dictionaries; Female; functional magnetic resonance imaging (fMRI); Humans; Image Processing, Computer-Assisted - methods; Joints; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Matching pursuit algorithms; Materials; Middle Aged; Multivariate analysis; NMR; Nuclear magnetic resonance; Representations; Simulation; Sparse matrices; sparsity; speech perception; Speech Perception - physiology; Subtraction; Task Performance and Analysis; Tasks; Young Adult

A single-task functional magnetic resonance imaging (fMRI) experiment may only partially highlight alterations to functional brain networks affected by a particular disorder. Multivariate analysis across multiple fMRI tasks may increase the sensitivity of fMRI-based diagnosis. Prior research using m...