title: An independent component analysis of fMRI data of grapheme-colour synaesthesia.
abstract: The independent component analysis (ICA) method was applied to fMRI data from two synaesthetes and their matched controls while they performed the coloured-word Stroop task and the single-letter (synaesthetic) Stroop task. ICA identified an 'attention' network, a 'perceptual' network as well as a 'conflict monitoring' network. Increased activity was observed in right V4 during the single-letter Stroop task for synaesthetes only. The finding confirms that the same neural substrate that is known to support the experience of physical colours also supports the experience of synaesthetic colours.
authors.affiliation: Department of Biological & Medical Psychology, University of Bergen, Norway. karsten.specht@psybp.uib.no
authors.forename: Karsten
authors.initials: K
authors.lastname: Specht
authors.forename: Bruno
authors.initials: B
authors.lastname: Laeng
mesh_terms: D001244:Association; D001931:Brain Mapping; D003118:Color Perception / Q000502:physiology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008875:Middle Aged; D010100:Oxygen; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation; D025341:Principal Component Analysis; D011930:Reaction Time; D014793:Visual Cortex / Q000098:blood supply*
chemical_list: D010100:Oxygen