Use of a steady-state baseline to address evoked vs. oscillation models of visual evoked potential origin
| Autor: | Hongzhi Qi, Yihong Jia, Peng Zhou, Lixin Zhang, Yong Hu, Xin Zhao, Baikun Wan, Dong Ming, Feng He, Minpeng Xu, Wei Gao |
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| Rok vydání: | 2016 |
| Předmět: |
Adult
Male Visual perception genetic structures Visual N1 Cognitive Neuroscience Models Neurological Stimulus (physiology) Sensitivity and Specificity 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Biological Clocks medicine Humans Computer Simulation 0501 psychology and cognitive sciences Evoked potential Oddball paradigm Visual Cortex Oscillation business.industry 05 social sciences Reproducibility of Results Contrast (statistics) Brain Waves Visual cortex medicine.anatomical_structure Neurology Visual Perception Evoked Potentials Visual Female Artificial intelligence business Psychology Neuroscience Photic Stimulation 030217 neurology & neurosurgery |
| Zdroj: | NeuroImage. 134:204-212 |
| ISSN: | 1053-8119 |
| DOI: | 10.1016/j.neuroimage.2016.03.073 |
| Popis: | There has been a long debate about the neural mechanism of event-related potentials (ERPs). Previously, no evidence or method was apparent to validate the two competing models, the evoked model and the oscillation model. One argument is whether the pre-stimulus brain oscillation could influence the following ERP. This study carried out an innovative visual oddball task experiment to investigate the dynamic process of visual evoked potentials. A period of stable oscillations of specified dominant frequencies and initial phases, i.e. the steady-state baseline, would be induced before responses to transient stimuli of different contrasts, which could overcome the artifact problem caused by the 'sorting' method. The result first revealed a 'three-period-transition' for the generation of visual evoked potentials by an objective decomposition. The ERP almost retained the preceding oscillation during the first period, provided an unstable negative potential in the second period, and generated the N1 component in the third period. The cross term analysis showed that the evoked model couldn't be the whole explanation for the ERP generation. Furthermore, the component analysis revealed that the N1 latency was sensitive to the initial phase under the low stimulus contrast (supporting the oscillation model) but not under the high stimulus contrast (supporting the evoked model). It demonstrated that the external stimulus contrast is a significant factor deciding the explicit model for ERPs. Our method and preliminary results may help reconcile the previous, seemly contradictory findings on the ERP mechanism. |
| Databáze: | OpenAIRE |
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