Identification of large-scale networks in the brain using fMRI.

Journal article

Cognition is thought to result from interactions within large-scale networks of brain regions. Here, we propose a method to identify these large-scale networks using functional magnetic resonance imaging (fMRI). Regions belonging to such networks are defined as sets of strongly interacting regions, each of which showing a homogeneous temporal activity. Our method of large-scale network identification (LSNI) proceeds by first detecting functionally homogeneous regions. The networks of function...

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Authors: Bellec, P; Perlbarg, V; Jbabdi, S; Pélégrini-Issac, M; Anton, J

• Journal: NeuroImage
• Volume: 29
• Issue: 4
• Pages: 1231-1243
• Publication date: 2006-02-01
• DOI: 10.1016/j.neuroimage.2005.08.044
• EISSN: 1095-9572
• ISSN: 1053-8119
• Language: English
• Keywords: Nerve Net; Fourier Analysis; Reproducibility of Results; Orientation; Neural Networks (Computer); Dominance, Cerebral; Adult; Reaction Time; Male; Imaging, Three-Dimensional; Mathematical Computing; Psychomotor Performance; Computer Simulation; Magnetic Resonance Imaging; Cerebral Cortex; Serial Learning; Statistics as Topic; Humans; Image Processing, Computer-Assisted; Mental Processes; Software; Brain Mapping