Journal article
Sensory gating in intracranial recordings - The role of phase locking
NeuroImage (Orlando, Fla.), v 44(3), pp 1041-1049
01 Feb 2009
PMID: 18955148
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
For patients with schizophrenia, a deficient gating (or filtering) of sensory input has been described. One major approach to study this sensory gating is to measure event-related potentials (ERPs) in response to paired clicks. In these experiments, sensory gating is quantified as amplitude reduction of the ERP components P50 and N100 from the 1st to the 2nd stimulus. In ERP studies brain electrical signals are averaged over single trials. Alterations in phase locking might be one factor contributing to the observed deficits in sensory gating, but findings have been inconclusive as yet. In particular, the contribution of different frequency bands to the deficit required further investigation. We studied N100 gating by intracranial recordings in a sample of epilepsy patients and subdivided the group into good and poor gators of the intracranial ERP component N100. Data were evaluated by frequency specific wavelet-based phase and power analyses. Poor N100 gators had an increased phase locking in the frequency range from 6.0-15.1 Hz after the 2nd stimulus, as compared to good gators. Other group differences were apparent already before the 2nd stimulus. Poor gators had less phase locked beta band activity (20.2-30.0 Hz) than good gators 200 315 ms after the onset of the 1st stimulus. Within the group of poor gators, lower values of phase locking in this frequency range were also associated with lower gating ratios. The reduced beta band response in response to the 1st stimulus may reflect poorer memory encoding of the 1st stimulus in poor gators. This in turn might lead to increased demands to process the 2nd stimulus. (C) 2008 Elsevier Inc. All rights reserved.
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Details
- Title
- Sensory gating in intracranial recordings - The role of phase locking
- Creators
- Timm Rosburg - University of BonnPeter Trautner - University of BonnJuergen Fell - Univ Bonn, Dept Epileptol, D-53105 Bonn, GermanyKaren Anne Moxon - Drexel UniversityChristian E. Elger - University of BonnNash N. Boutros - Wayne State University
- Publication Details
- NeuroImage (Orlando, Fla.), v 44(3), pp 1041-1049
- Publisher
- Elsevier
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000262301500043
- Scopus ID
- 2-s2.0-57649173547
- Other Identifier
- 991019168309304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Neuroimaging
- Neurosciences
- Radiology, Nuclear Medicine & Medical Imaging