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Age-Related Changes in Predictive Capacity Versus Internal Model Adaptability: Electrophysiological Evidence that Individual Differences Outweigh Effects of Age

Hierarchical predictive coding has been identified as a possible unifying principle of brain function, and recent work in cognitive neuroscience has examined how it may be affected by age–related changes. Using language comprehension as a test case, the present study aimed to dissociate age-related...

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Autores principales: Bornkessel-Schlesewsky, Ina, Philipp, Markus, Alday, Phillip M., Kretzschmar, Franziska, Grewe, Tanja, Gumpert, Maike, Schumacher, Petra B., Schlesewsky, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663277/
https://www.ncbi.nlm.nih.gov/pubmed/26648865
http://dx.doi.org/10.3389/fnagi.2015.00217
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author Bornkessel-Schlesewsky, Ina
Philipp, Markus
Alday, Phillip M.
Kretzschmar, Franziska
Grewe, Tanja
Gumpert, Maike
Schumacher, Petra B.
Schlesewsky, Matthias
author_facet Bornkessel-Schlesewsky, Ina
Philipp, Markus
Alday, Phillip M.
Kretzschmar, Franziska
Grewe, Tanja
Gumpert, Maike
Schumacher, Petra B.
Schlesewsky, Matthias
author_sort Bornkessel-Schlesewsky, Ina
collection PubMed
description Hierarchical predictive coding has been identified as a possible unifying principle of brain function, and recent work in cognitive neuroscience has examined how it may be affected by age–related changes. Using language comprehension as a test case, the present study aimed to dissociate age-related changes in prediction generation versus internal model adaptation following a prediction error. Event-related brain potentials (ERPs) were measured in a group of older adults (60–81 years; n = 40) as they read sentences of the form “The opposite of black is white/yellow/nice.” Replicating previous work in young adults, results showed a target-related P300 for the expected antonym (“white”; an effect assumed to reflect a prediction match), and a graded N400 effect for the two incongruous conditions (i.e. a larger N400 amplitude for the incongruous continuation not related to the expected antonym, “nice,” versus the incongruous associated condition, “yellow”). These effects were followed by a late positivity, again with a larger amplitude in the incongruous non-associated versus incongruous associated condition. Analyses using linear mixed-effects models showed that the target-related P300 effect and the N400 effect for the incongruous non-associated condition were both modulated by age, thus suggesting that age-related changes affect both prediction generation and model adaptation. However, effects of age were outweighed by the interindividual variability of ERP responses, as reflected in the high proportion of variance captured by the inclusion of by-condition random slopes for participants and items. We thus argue that – at both a neurophysiological and a functional level – the notion of general differences between language processing in young and older adults may only be of limited use, and that future research should seek to better understand the causes of interindividual variability in the ERP responses of older adults and its relation to cognitive performance.
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spelling pubmed-46632772015-12-08 Age-Related Changes in Predictive Capacity Versus Internal Model Adaptability: Electrophysiological Evidence that Individual Differences Outweigh Effects of Age Bornkessel-Schlesewsky, Ina Philipp, Markus Alday, Phillip M. Kretzschmar, Franziska Grewe, Tanja Gumpert, Maike Schumacher, Petra B. Schlesewsky, Matthias Front Aging Neurosci Neuroscience Hierarchical predictive coding has been identified as a possible unifying principle of brain function, and recent work in cognitive neuroscience has examined how it may be affected by age–related changes. Using language comprehension as a test case, the present study aimed to dissociate age-related changes in prediction generation versus internal model adaptation following a prediction error. Event-related brain potentials (ERPs) were measured in a group of older adults (60–81 years; n = 40) as they read sentences of the form “The opposite of black is white/yellow/nice.” Replicating previous work in young adults, results showed a target-related P300 for the expected antonym (“white”; an effect assumed to reflect a prediction match), and a graded N400 effect for the two incongruous conditions (i.e. a larger N400 amplitude for the incongruous continuation not related to the expected antonym, “nice,” versus the incongruous associated condition, “yellow”). These effects were followed by a late positivity, again with a larger amplitude in the incongruous non-associated versus incongruous associated condition. Analyses using linear mixed-effects models showed that the target-related P300 effect and the N400 effect for the incongruous non-associated condition were both modulated by age, thus suggesting that age-related changes affect both prediction generation and model adaptation. However, effects of age were outweighed by the interindividual variability of ERP responses, as reflected in the high proportion of variance captured by the inclusion of by-condition random slopes for participants and items. We thus argue that – at both a neurophysiological and a functional level – the notion of general differences between language processing in young and older adults may only be of limited use, and that future research should seek to better understand the causes of interindividual variability in the ERP responses of older adults and its relation to cognitive performance. Frontiers Media S.A. 2015-11-30 /pmc/articles/PMC4663277/ /pubmed/26648865 http://dx.doi.org/10.3389/fnagi.2015.00217 Text en Copyright © 2015 Bornkessel-Schlesewsky, Philipp, Alday, Kretzschmar, Grewe, Gumpert, Schumacher and Schlesewsky. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Bornkessel-Schlesewsky, Ina
Philipp, Markus
Alday, Phillip M.
Kretzschmar, Franziska
Grewe, Tanja
Gumpert, Maike
Schumacher, Petra B.
Schlesewsky, Matthias
Age-Related Changes in Predictive Capacity Versus Internal Model Adaptability: Electrophysiological Evidence that Individual Differences Outweigh Effects of Age
title Age-Related Changes in Predictive Capacity Versus Internal Model Adaptability: Electrophysiological Evidence that Individual Differences Outweigh Effects of Age
title_full Age-Related Changes in Predictive Capacity Versus Internal Model Adaptability: Electrophysiological Evidence that Individual Differences Outweigh Effects of Age
title_fullStr Age-Related Changes in Predictive Capacity Versus Internal Model Adaptability: Electrophysiological Evidence that Individual Differences Outweigh Effects of Age
title_full_unstemmed Age-Related Changes in Predictive Capacity Versus Internal Model Adaptability: Electrophysiological Evidence that Individual Differences Outweigh Effects of Age
title_short Age-Related Changes in Predictive Capacity Versus Internal Model Adaptability: Electrophysiological Evidence that Individual Differences Outweigh Effects of Age
title_sort age-related changes in predictive capacity versus internal model adaptability: electrophysiological evidence that individual differences outweigh effects of age
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4663277/
https://www.ncbi.nlm.nih.gov/pubmed/26648865
http://dx.doi.org/10.3389/fnagi.2015.00217
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