Increased event-related potential latency and amplitude variability in schizophrenia detected through wavelet-based single trial analysis
Analysis of single-trial event-related potentials can potentially yield important information about the underlying brain dynamics. We were specifically interested in latency and amplitude variability of the P3 component in patients with schizophrenia. For this purpose we developed a method for analy...
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| Main Authors: | , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
30 August 2007
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| In: |
International journal of psychophysiology
Year: 2007, Volume: 66, Issue: 3, Pages: 244-254 |
| ISSN: | 1872-7697 |
| DOI: | 10.1016/j.ijpsycho.2007.08.005 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.ijpsycho.2007.08.005 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S0167876007002012 
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| Author Notes: | Alexander Roth, Daniela Roesch-Ely, Stephan Bender, Matthias Weisbrod, Stefan Kaiser |
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| 520 | |a Analysis of single-trial event-related potentials can potentially yield important information about the underlying brain dynamics. We were specifically interested in latency and amplitude variability of the P3 component in patients with schizophrenia. For this purpose we developed a method for analyzing single-trial ERPs based on a wavelet smoothing algorithm, which is presented in detail. This method was applied to data from schizophrenic patients and healthy controls in an auditory Go/Nogo task. We found a significant increase of latency variability in the schizophrenic group at electrode Fz (frontal midline) and increased amplitude variability at electrode Pz (parietal midline). These results support the concept of increased cortical noise in patients with schizophrenia. | ||
| 650 | 4 | |a Amplitude variability | |
| 650 | 4 | |a Event-related potentials | |
| 650 | 4 | |a Latency variability | |
| 650 | 4 | |a Multiresolution analysis | |
| 650 | 4 | |a P3 | |
| 650 | 4 | |a Schizophrenia | |
| 650 | 4 | |a Wavelet transform | |
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