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How single-trial electrical neuroimaging contributes to multisensory research

Gonzalez Andino, Sara ; Murray, Micah ; Foxe, John ; Menendez, Rolando

In: Experimental Brain Research, 2005, vol. 166, no. 3-4, p. 298-304

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    Titre
    • How single-trial electrical neuroimaging contributes to multisensory research
    Auteur
    • Gonzalez Andino, Sara. Electrical Neuroimaging Group, Functional Brain Mapping Laboratory, University Hospital of Geneva, 24 Rue Micheli du Crest, 1211, Geneva, Switzerland
    • Murray, Micah. The Functional Electrical Neuroimaging Laboratory, Neuropsychology Division and Radiology Service, CHUV, 5 Av. Pierre Decker, 1011, Lausanne, Switzerland
    • Foxe, John. The Cognitive Neurophysiology Lab, Program in Cognitive Neuroscience and Schizophrenia, The Nathan Kline Institute for Psychiatric Research, 10962, Orangeburg, NY, USA
    • Menendez, Rolando. Electrical Neuroimaging Group, Functional Brain Mapping Laboratory, University Hospital of Geneva, 24 Rue Micheli du Crest, 1211, Geneva, Switzerland
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • Experimental Brain Research, 2005, vol. 166, no. 3-4, p. 298-304. Springer-Verlag; http://www.springer.de
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:309796
    Summary
    This study details a method to statistically determine, on a millisecond scale and for individual subjects, those brain areas whose activity differs between experimental conditions, using single-trial scalp-recorded EEG data. To do this, we non-invasively estimated local field potentials (LFPs) using the ELECTRA distributed inverse solution and applied non-parametric statistical tests at each brain voxel and for each time point. This yields a spatio-temporal activation pattern of differential brain responses. The method is illustrated here in the analysis of auditory-somatosensory (AS) multisensory interactions in four subjects. Differential multisensory responses were temporally and spatially consistent across individuals, with onset at ~50ms and superposition within areas of the posterior superior temporal cortex that have traditionally been considered auditory in their function. The close agreement of these results with previous investigations of AS multisensory interactions suggests that the present approach constitutes a reliable method for studying multisensory processing with the temporal and spatial resolution required to elucidate several existing questions in this field. In particular, the present analyses permit a more direct comparison between human and animal studies of multisensory interactions and can be extended to examine correlation between electrophysiological phenomena and behavior