Intracerebral Sources of Human Auditory-Evoked Potentials

Picton, Terence W.; Alain, Claude; Woods, David L.; John, M. Sasha; Scherg, Michael; Valdés‐Sosa, Pedro A.; Bosch-Bayard, Jorge; Trujillo, N.

doi:10.1159/000013823

Cited by 287 publications

(219 citation statements)

References 55 publications

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“…As MEG is somewhat insensitive to radially oriented neural generators (Lewine & Orrison, 1995), radial frontal sources may invisible to MEG. In addition to early 100 ms activity, a radial STG source detected with EEG is present at approximately 140 ms (Wolpaw and Penry, 1975;Picton et al, 1999). Such findings indicate the need, in some instances, to obtain simultaneous EEG and MEG.…”

Section: Meg Compared To Eegmentioning

confidence: 80%

Electrophysiological signatures: Magnetoencephalographic studies of the neural correlates of language impairment in autism spectrum disorders

Roberts

Schmidt

Egeth

et al. 2008

International Journal of Psychophysiology

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While magnetoencephalography (MEG) is of increasing utility in the assessment of pediatric patients with seizure disorders, this indication reflects only a part of the clinical potential of the technology. Beyond epilepsy, a broad range of developmental psychiatric disorders require the combined offerings of spatial and temporal resolution, along with direct sensitivity to neural electrical activity, that are offered by MEG. This article reviews the application of MEG in the study of auditory processing as an aspect of language impairment in children. Potential application is elaborated in the clinical case of autism spectrum disorders, a devastating disorder with prevalence of 1 in 150, poorly served by alternative imaging modalities. MEG offers both spatial and temporal insights, tentatively described as "electrophysiological signatures". Results demonstrate the sensitivity of MEG for detection of abnormalities of auditory processing in ASD and their clinical correlates. These findings offer promise for the comprehensive assessment of developmental neuropsychiatric disorders such as autism, but also suggest avenues for the development of MEG technology to adequately meet the needs of such populations, as well as providing conduits to basic sciences including neurobiology and genetics.

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Section: Meg Compared To Eegmentioning

confidence: 80%

Electrophysiological signatures: Magnetoencephalographic studies of the neural correlates of language impairment in autism spectrum disorders

Roberts

Schmidt

Egeth

et al. 2008

International Journal of Psychophysiology

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“…Activations were present for local maxima in the superior temporal gyri with a rightward dominance, the temporal poles and the anterior cingulate gyrus. This partition of the map encompasses the assumed sources of the scalp N1/MMN (Naatanen, et al, 1987;Picton, et al, 1999;Picton, et al, 2000;Woods, 1995), and correspondingly the brain areas that previous imaging experiments have implicated in automatic auditory deviance detection, stimulus discrimination, sensory memory as well as novelty (surprise) related functions (Liebenthal, et al, 2003;Molholm, et al, 2005;Rinne, et al, 2005;Sabri, et al, 2006). The occurrence of deactivations observed in the subcallosal gyrus and the maps' global maximum in the vicinity of the midbrain reticular formation was surprising.…”

Section: Area Of Applicationmentioning

confidence: 95%

Unmixing concurrent EEG-fMRI with parallel independent component analysis

Eichele

Calhoun

Moosmann

et al. 2008

International Journal of Psychophysiology

104

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Concurrent event-related EEG-fMRI recordings pick up volume-conducted and hemodynamically convoluted signals from latent neural sources that are spatially and temporally mixed across the brain, i.e. the observed data in both modalities represent multiple, simultaneously active, regionally overlapping neuronal mass responses. This mixing process decreases the sensitivity of voxel-byvoxel prediction of hemodynamic activation by the EEG when multiple sources contribute to either the predictor and/or the response variables. In order to address this problem, we used independent component analysis (ICA) to recover maps from the fMRI and timecourses from the EEG, and matched these components across the modalities by correlating their trial-to-trial modulation. The analysis was implemented as a group-level ICA that extracts a single set of components from the data and directly allows for population inferences about consistently expressed function-relevant spatiotemporal responses. We illustrate the utility of this method by extracting a previously undetected but relevant EEG-fMRI component from a concurrent auditory target detection experiment. §Corresponding Author:

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“…In the present sample, ESM demonstrated SSMA (or supplementary negative motor area)-type responses in most of the frontal P50max-sites. None of these areas is strictly "sensory" in nature, but there is evidence from animals and humans that there are significant connections between auditory and lateral and medial frontal cortices that may become active within 100 ms after an auditory stimulus (Romanski, 1999;Barbas, 1999;Picton, 1999). As for the SSMA proper, this area is known for its mixed somatosensory and motor representations despite its frontal location (Lim, 1994).…”

Section: Clues To An Understanding Of Sensory Gatingmentioning

confidence: 99%

Towards a functional topography of sensory gating areas: Invasive P50 recording and electrical stimulation mapping in epilepsy surgery candidates

Kurthen

Trautner

Rosburg

et al. 2007

Psychiatry Research: Neuroimaging

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The filtering of sensory information, also referred to as "sensory gating", is impaired in various neuropsychiatric diseases. In the auditory domain, sensory gating is investigated mainly as a response decrease of the auditory evoked potential component P50 from one click to the second in a double click paradigm. In order to relate deficient sensory gating to anatomy, it is essential to identify the cortical structures involved in the generation of P50. However, the exact cerebral topography of P50 gating has remained largely unknown as yet. In a group of 17 patients with drug-resistant focal epilepsy, P50 was recorded invasively via subdural electrodes, and the topography of functionally indispensable ("eloquent") cortices was obtained by electrical stimulation mapping. These eloquent areas were involved in language, motor, and sensory functions. P50 could be identified in 13 patients in either temporal (n = 8) or midfrontal sites (n = 5). There were 6 occurrences (in 5 patients) of overlap of sites with maximal P50 responses and eloquent areas. Those were auditory (n = 1), supplementary sensorimotor (n = 3), primary motor (n = 1), and supplementary negative motor (n = 1). Results suggest that the early stage of sensory gating already involves a top-down modulation of sensory input by frontal areas.

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Intracerebral Sources of Human Auditory-Evoked Potentials

Cited by 287 publications

References 55 publications

Electrophysiological signatures: Magnetoencephalographic studies of the neural correlates of language impairment in autism spectrum disorders

Electrophysiological signatures: Magnetoencephalographic studies of the neural correlates of language impairment in autism spectrum disorders

Unmixing concurrent EEG-fMRI with parallel independent component analysis

Towards a functional topography of sensory gating areas: Invasive P50 recording and electrical stimulation mapping in epilepsy surgery candidates

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