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Understanding in an instant: Neurophysiological evidence for mechanistic language circuits in the brain

How long does it take the human mind to grasp the idea when hearing or reading a sentence? Neurophysiological methods looking directly at the time course of brain activity indexes of comprehension are critical for finding the answer to this question. As the dominant cognitive approaches, models of s...

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Detalles Bibliográficos
Autores principales: Pulvermüller, Friedemann, Shtyrov, Yury, Hauk, Olaf
Formato: Texto
Lenguaje:English
Publicado: Academic Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2734884/
https://www.ncbi.nlm.nih.gov/pubmed/19664815
http://dx.doi.org/10.1016/j.bandl.2008.12.001
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author Pulvermüller, Friedemann
Shtyrov, Yury
Hauk, Olaf
author_facet Pulvermüller, Friedemann
Shtyrov, Yury
Hauk, Olaf
author_sort Pulvermüller, Friedemann
collection PubMed
description How long does it take the human mind to grasp the idea when hearing or reading a sentence? Neurophysiological methods looking directly at the time course of brain activity indexes of comprehension are critical for finding the answer to this question. As the dominant cognitive approaches, models of serial/cascaded and parallel processing, make conflicting predictions on the time course of psycholinguistic information access, they can be tested using neurophysiological brain activation recorded in MEG and EEG experiments. Seriality and cascading of lexical, semantic and syntactic processes receives support from late (latency ∼1/2 s) sequential neurophysiological responses, especially N400 and P600. However, parallelism is substantiated by early near-simultaneous brain indexes of a range of psycholinguistic processes, up to the level of semantic access and context integration, emerging already 100–250 ms after critical stimulus information is present. Crucially, however, there are reliable latency differences of 20–50 ms between early cortical area activations reflecting lexical, semantic and syntactic processes, which are left unexplained by current serial and parallel brain models of language. We here offer a mechanistic model grounded in cortical nerve cell circuits that builds upon neuroanatomical and neurophysiological knowledge and explains both near-simultaneous activations and fine-grained delays. A key concept is that of discrete distributed cortical circuits with specific inter-area topographies. The full activation, or ignition, of specifically distributed binding circuits explains the near-simultaneity of early neurophysiological indexes of lexical, syntactic and semantic processing. Activity spreading within circuits determined by between-area conduction delays accounts for comprehension-related regional activation differences in the millisecond range.
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spelling pubmed-27348842009-09-04 Understanding in an instant: Neurophysiological evidence for mechanistic language circuits in the brain Pulvermüller, Friedemann Shtyrov, Yury Hauk, Olaf Brain Lang Review How long does it take the human mind to grasp the idea when hearing or reading a sentence? Neurophysiological methods looking directly at the time course of brain activity indexes of comprehension are critical for finding the answer to this question. As the dominant cognitive approaches, models of serial/cascaded and parallel processing, make conflicting predictions on the time course of psycholinguistic information access, they can be tested using neurophysiological brain activation recorded in MEG and EEG experiments. Seriality and cascading of lexical, semantic and syntactic processes receives support from late (latency ∼1/2 s) sequential neurophysiological responses, especially N400 and P600. However, parallelism is substantiated by early near-simultaneous brain indexes of a range of psycholinguistic processes, up to the level of semantic access and context integration, emerging already 100–250 ms after critical stimulus information is present. Crucially, however, there are reliable latency differences of 20–50 ms between early cortical area activations reflecting lexical, semantic and syntactic processes, which are left unexplained by current serial and parallel brain models of language. We here offer a mechanistic model grounded in cortical nerve cell circuits that builds upon neuroanatomical and neurophysiological knowledge and explains both near-simultaneous activations and fine-grained delays. A key concept is that of discrete distributed cortical circuits with specific inter-area topographies. The full activation, or ignition, of specifically distributed binding circuits explains the near-simultaneity of early neurophysiological indexes of lexical, syntactic and semantic processing. Activity spreading within circuits determined by between-area conduction delays accounts for comprehension-related regional activation differences in the millisecond range. Academic Press 2009-08 /pmc/articles/PMC2734884/ /pubmed/19664815 http://dx.doi.org/10.1016/j.bandl.2008.12.001 Text en © 2009 Elsevier Inc. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license
spellingShingle Review
Pulvermüller, Friedemann
Shtyrov, Yury
Hauk, Olaf
Understanding in an instant: Neurophysiological evidence for mechanistic language circuits in the brain
title Understanding in an instant: Neurophysiological evidence for mechanistic language circuits in the brain
title_full Understanding in an instant: Neurophysiological evidence for mechanistic language circuits in the brain
title_fullStr Understanding in an instant: Neurophysiological evidence for mechanistic language circuits in the brain
title_full_unstemmed Understanding in an instant: Neurophysiological evidence for mechanistic language circuits in the brain
title_short Understanding in an instant: Neurophysiological evidence for mechanistic language circuits in the brain
title_sort understanding in an instant: neurophysiological evidence for mechanistic language circuits in the brain
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2734884/
https://www.ncbi.nlm.nih.gov/pubmed/19664815
http://dx.doi.org/10.1016/j.bandl.2008.12.001
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