Mining EEG–fMRI using independent component analysis
- 31 July 2009
- journal article
- review article
- Published by Elsevier BV in International Journal of Psychophysiology
- Vol. 73 (1), 53-61
- https://doi.org/10.1016/j.ijpsycho.2008.12.018
Abstract
No abstract availableKeywords
This publication has 73 references indexed in Scilit:
- Independent component analysis of fMRI group studies by self-organizing clusteringNeuroImage, 2005
- What is novel in the novelty oddball paradigm? Functional significance of the novelty P3 event-related potential as revealed by independent component analysisCognitive Brain Research, 2004
- Mining event-related brain dynamicsTrends in Cognitive Sciences, 2004
- Ambiguous Results in Functional Neuroimaging Data Analysis Due to Covariate CorrelationNeuroImage, 1999
- Deconvolution of Impulse Response in Event-Related BOLD fMRI1NeuroImage, 1999
- Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian SourcesNeural Computation, 1999
- Intracerebral potentials to rare target and distractor auditory and visual stimuli. II. Medial, lateral and posterior temporal lobeElectroencephalography and Clinical Neurophysiology, 1995
- Intracerebral potentials to rare target and distractor auditory and visual stimuli. III. Frontal cortexElectroencephalography and Clinical Neurophysiology, 1995
- Intracerebral potentials to rare target and distractor auditory and visual stimuli. I. Superior temporal plane and parietal lobeElectroencephalography and Clinical Neurophysiology, 1995
- Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging.Proceedings of the National Academy of Sciences, 1992