Multivariate Pattern Analysis Techniques for Electroencephalography Data to Study Flanker Interference Effects
| Autor: | Alberto Sobrado, María Ruz, José M. G. Peñalver, David López-García, Juan Manuel Górriz |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Male Multivariate statistics Multivariate analysis Computer Networks and Communications Computer science Cognitive neuroscience Electroencephalography Interference (wave propagation) Task (project management) Pattern Recognition Automated Conflict Psychological 03 medical and health sciences Young Adult 0302 clinical medicine medicine Humans Attention 030304 developmental biology Cerebral Cortex 0303 health sciences medicine.diagnostic_test General Medicine Replicate Action (philosophy) Multivariate Analysis Female 030217 neurology & neurosurgery Psychomotor Performance Cognitive psychology |
| Zdroj: | International journal of neural systems. 30(7) |
| ISSN: | 1793-6462 |
| Popis: | A central challenge in cognitive neuroscience is to understand the neural mechanisms that underlie the capacity to control our behavior according to internal goals. Flanker tasks, which require responding to stimuli surrounded by distracters that trigger incompatible action tendencies, are frequently used to measure this conflict. Even though the interference generated in these situations has been broadly studied, multivariate analysis techniques can shed new light into the underlying neural mechanisms. The current study is an initial approximation to adapt an interference Flanker paradigm embedded in a Demand-Selection Task (DST) to a format that allows measuring concurrent high-density electroencephalography (EEG). We used multivariate pattern analysis (MVPA) to decode conflict-related electrophysiological markers associated with congruent or incongruent target events in a time-frequency resolved way. Our results replicate findings obtained with other analysis approaches and offer new information regarding the dynamics of the underlying mechanisms, which show signs of reinstantiation. Our findings, some of which could not have been obtained with classic analytical strategies, open novel avenues of research. |
| Databáze: | OpenAIRE |
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