Tracking real-time neural activation of conceptual knowledge using single-trial event-related potentials
| Autor: | Ben D. Amsel |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Adult
Male Descriptive knowledge Time Factors Adolescent Semantic feature Cognitive Neuroscience Concept Formation Experimental and Cognitive Psychology Semantics Behavioral Neuroscience Young Adult Models of neural computation Event-related potential Reaction Time Semantic memory Humans Evoked Potentials Cerebral Cortex Analysis of Variance Brain Mapping Cognition Electroencephalography Knowledge Word recognition Linear Models Female Psychology Photic Stimulation Cognitive psychology |
| Zdroj: | Neuropsychologia. 49(5) |
| ISSN: | 1873-3514 |
| Popis: | Empirically derived semantic feature norms categorized into different types of knowledge (e.g., visual, functional, auditory) can be summed to create number-of-feature counts per knowledge type. Initial evidence suggests several such knowledge types may be recruited during language comprehension. The present study provides a more detailed understanding of the timecourse and intensity of influence of several such knowledge types on real-time neural activity. A linear mixed-effects model was applied to single trial event-related potentials for 207 visually presented concrete words measured on total number of features (semantic richness), imageability, and number of visual motion, color, visual form, smell, taste, sound, and function features. Significant influences of multiple feature types occurred before 200 ms, suggesting parallel neural computation of word form and conceptual knowledge during language comprehension. Function and visual motion features most prominently influenced neural activity, underscoring the importance of action-related knowledge in computing word meaning. The dynamic time courses and topographies of these effects are most consistent with a flexible conceptual system wherein temporally dynamic recruitment of representations in modal and supramodal cortex are a crucial element of the constellation of processes constituting word meaning computation in the brain. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect