The University of Southampton
University of Southampton Institutional Repository

Top-down attentional processing enhances auditory evoked gamma band activity

Debener, Stefan, Herrmann, Christoph S., Kranczioch, Cornelia, Gembris, Daniel and Engel, Andreas K. (2003) Top-down attentional processing enhances auditory evoked gamma band activity Neuroreport, 14, (5), pp. 683-686.

Record type: Article

Abstract

In contrast to animal studies, relatively little is known about the functional significance of the early evoked gamma band activity in humans. We investigated whether evoked and induced 40 Hz activity differentiate automatic, bottom-up aspects of attention from voluntary, top-down related attentional demands. An auditory novelty-oddball task was applied to 14 healthy subjects. As predicted, more evoked gamma was found for the target condition than in the two task-irrelevant conditions. Since gamma band activity was not enhanced for novel stimuli, the evoked gamma response cannot be explained with a simple concept of stimulus arousal. Neither induced gamma nor the degree of 40 Hz phase-locking were different between the experimental conditions. Taken together, our data emphasize the role of evoked gamma band activity for top-down attentional processing.

Full text not available from this repository.

More information

Published date: 2003

Identifiers

Local EPrints ID: 27562
URI: http://eprints.soton.ac.uk/id/eprint/27562
PURE UUID: f81ff7cf-0f8d-4cf0-b79f-e00a302931a1

Catalogue record

Date deposited: 28 Apr 2006
Last modified: 17 Jul 2017 16:04

Export record

Contributors

Author: Stefan Debener
Author: Christoph S. Herrmann
Author: Cornelia Kranczioch
Author: Daniel Gembris
Author: Andreas K. Engel

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×