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Effect of Aging on Change of Intention

Decision making often requires making arbitrary choices (“picking”) between alternatives that make no difference to the agent, that are equally desirable, or when the potential reward is unknown. Using event-related potentials we tested the effect of age on this common type of decision making. We co...

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Autores principales: Furstenberg, Ariel, Dewar, Callum D., Sompolinsky, Haim, Knight, Robert T., Deouell, Leon Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685419/
https://www.ncbi.nlm.nih.gov/pubmed/31417383
http://dx.doi.org/10.3389/fnhum.2019.00264
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author Furstenberg, Ariel
Dewar, Callum D.
Sompolinsky, Haim
Knight, Robert T.
Deouell, Leon Y.
author_facet Furstenberg, Ariel
Dewar, Callum D.
Sompolinsky, Haim
Knight, Robert T.
Deouell, Leon Y.
author_sort Furstenberg, Ariel
collection PubMed
description Decision making often requires making arbitrary choices (“picking”) between alternatives that make no difference to the agent, that are equally desirable, or when the potential reward is unknown. Using event-related potentials we tested the effect of age on this common type of decision making. We compared two age groups: ages 18–25, and ages 41–67 on a masked-priming paradigm while recording EEG and EMG. Participants pressed a right or left button following either an instructive arrow cue or a neutral free-choice picking cue, both preceded by a masked arrow or neutral prime. The prime affected the behavior on the Instructed and the Free-choice picking conditions both in the younger and older groups. Moreover, electrophysiological “Change of Intention” (ChoI) was observed via lateralized readiness potential (LRP) in both age groups – the polarity of the LRP indicated first preparation to move the primed hand and then preparation to move the other hand. However, the older participants were more conservative in responding to the instructive cue, exhibiting a speed-accuracy trade-off, with slower response times, less errors in incongruent trials, and reduced probability of EMG activity in the non-responding hand. Additionally, “Change of Intention” was observed in both age groups in slow RT trials with a neutral prime as a result of an endogenous early intention to respond in a direction opposite the eventual instructing arrow cue. We conclude that the basic behavioral and electrophysiological signatures of implicit ChoI are common to a wide range of ages. However, older subjects, despite showing a similar dynamic decision trajectory as younger adults, are slower, more prudent and finalize the decision making process before letting the information affect the peripheral motor system. In contrast, the flow of information in younger subjects occurs in parallel to the decision process.
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spelling pubmed-66854192019-08-15 Effect of Aging on Change of Intention Furstenberg, Ariel Dewar, Callum D. Sompolinsky, Haim Knight, Robert T. Deouell, Leon Y. Front Hum Neurosci Neuroscience Decision making often requires making arbitrary choices (“picking”) between alternatives that make no difference to the agent, that are equally desirable, or when the potential reward is unknown. Using event-related potentials we tested the effect of age on this common type of decision making. We compared two age groups: ages 18–25, and ages 41–67 on a masked-priming paradigm while recording EEG and EMG. Participants pressed a right or left button following either an instructive arrow cue or a neutral free-choice picking cue, both preceded by a masked arrow or neutral prime. The prime affected the behavior on the Instructed and the Free-choice picking conditions both in the younger and older groups. Moreover, electrophysiological “Change of Intention” (ChoI) was observed via lateralized readiness potential (LRP) in both age groups – the polarity of the LRP indicated first preparation to move the primed hand and then preparation to move the other hand. However, the older participants were more conservative in responding to the instructive cue, exhibiting a speed-accuracy trade-off, with slower response times, less errors in incongruent trials, and reduced probability of EMG activity in the non-responding hand. Additionally, “Change of Intention” was observed in both age groups in slow RT trials with a neutral prime as a result of an endogenous early intention to respond in a direction opposite the eventual instructing arrow cue. We conclude that the basic behavioral and electrophysiological signatures of implicit ChoI are common to a wide range of ages. However, older subjects, despite showing a similar dynamic decision trajectory as younger adults, are slower, more prudent and finalize the decision making process before letting the information affect the peripheral motor system. In contrast, the flow of information in younger subjects occurs in parallel to the decision process. Frontiers Media S.A. 2019-07-31 /pmc/articles/PMC6685419/ /pubmed/31417383 http://dx.doi.org/10.3389/fnhum.2019.00264 Text en Copyright © 2019 Furstenberg, Dewar, Sompolinsky, Knight and Deouell. 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) and the copyright owner(s) 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
Furstenberg, Ariel
Dewar, Callum D.
Sompolinsky, Haim
Knight, Robert T.
Deouell, Leon Y.
Effect of Aging on Change of Intention
title Effect of Aging on Change of Intention
title_full Effect of Aging on Change of Intention
title_fullStr Effect of Aging on Change of Intention
title_full_unstemmed Effect of Aging on Change of Intention
title_short Effect of Aging on Change of Intention
title_sort effect of aging on change of intention
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685419/
https://www.ncbi.nlm.nih.gov/pubmed/31417383
http://dx.doi.org/10.3389/fnhum.2019.00264
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