Cargando…
Structural Neural Correlates of Double Decision Performance in Older Adults
Speed of processing is a cognitive domain that encompasses the speed at which an individual can perceive a given stimulus, interpret the information, and produce a correct response. Speed of processing has been shown to decline more rapidly than other cognitive domains in an aging population, sugges...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493680/ https://www.ncbi.nlm.nih.gov/pubmed/33117145 http://dx.doi.org/10.3389/fnagi.2020.00278 |
_version_ | 1783582609488478208 |
---|---|
author | Kraft, Jessica N. O’Shea, Andrew Albizu, Alejandro Evangelista, Nicole D. Hausman, Hanna K. Boutzoukas, Emanuel Nissim, Nicole R. Van Etten, Emily J. Bharadwaj, Pradyumna K. Song, Hyun Smith, Samantha G. Porges, Eric DeKosky, Steven Hishaw, Georg A. Wu, Samuel Marsiske, Michael Cohen, Ronald Alexander, Gene E. Woods, Adam J. |
author_facet | Kraft, Jessica N. O’Shea, Andrew Albizu, Alejandro Evangelista, Nicole D. Hausman, Hanna K. Boutzoukas, Emanuel Nissim, Nicole R. Van Etten, Emily J. Bharadwaj, Pradyumna K. Song, Hyun Smith, Samantha G. Porges, Eric DeKosky, Steven Hishaw, Georg A. Wu, Samuel Marsiske, Michael Cohen, Ronald Alexander, Gene E. Woods, Adam J. |
author_sort | Kraft, Jessica N. |
collection | PubMed |
description | Speed of processing is a cognitive domain that encompasses the speed at which an individual can perceive a given stimulus, interpret the information, and produce a correct response. Speed of processing has been shown to decline more rapidly than other cognitive domains in an aging population, suggesting that this domain is particularly vulnerable to cognitive aging (Chee et al., 2009). However, given the heterogeneity of neuropsychological measures used to assess the domains underpinning speed of processing, a diffuse pattern of brain regions has been implicated. The current study aims to investigate the structural neural correlates of speed of processing by assessing cortical volume and speed of processing scores on the POSIT Double Decision task within a healthy older adult population (N = 186; mean age = 71.70 ± 5.32 years). T1-weighted structural images were collected via a 3T Siemens scanner. The current study shows that less cortical thickness in right temporal, posterior frontal, parietal and occipital lobe structures were significantly associated with poorer Double Decision scores. Notably, these include the lateral orbitofrontal gyrus, precentral gyrus, superior, transverse, and inferior temporal gyrus, temporal pole, insula, parahippocampal gyrus, fusiform gyrus, lingual gyrus, superior and inferior parietal gyrus and lateral occipital gyrus. Such findings suggest that speed of processing performance is associated with a wide array of cortical regions that provide unique contributions to performance on the Double Decision task. |
format | Online Article Text |
id | pubmed-7493680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74936802020-10-27 Structural Neural Correlates of Double Decision Performance in Older Adults Kraft, Jessica N. O’Shea, Andrew Albizu, Alejandro Evangelista, Nicole D. Hausman, Hanna K. Boutzoukas, Emanuel Nissim, Nicole R. Van Etten, Emily J. Bharadwaj, Pradyumna K. Song, Hyun Smith, Samantha G. Porges, Eric DeKosky, Steven Hishaw, Georg A. Wu, Samuel Marsiske, Michael Cohen, Ronald Alexander, Gene E. Woods, Adam J. Front Aging Neurosci Neuroscience Speed of processing is a cognitive domain that encompasses the speed at which an individual can perceive a given stimulus, interpret the information, and produce a correct response. Speed of processing has been shown to decline more rapidly than other cognitive domains in an aging population, suggesting that this domain is particularly vulnerable to cognitive aging (Chee et al., 2009). However, given the heterogeneity of neuropsychological measures used to assess the domains underpinning speed of processing, a diffuse pattern of brain regions has been implicated. The current study aims to investigate the structural neural correlates of speed of processing by assessing cortical volume and speed of processing scores on the POSIT Double Decision task within a healthy older adult population (N = 186; mean age = 71.70 ± 5.32 years). T1-weighted structural images were collected via a 3T Siemens scanner. The current study shows that less cortical thickness in right temporal, posterior frontal, parietal and occipital lobe structures were significantly associated with poorer Double Decision scores. Notably, these include the lateral orbitofrontal gyrus, precentral gyrus, superior, transverse, and inferior temporal gyrus, temporal pole, insula, parahippocampal gyrus, fusiform gyrus, lingual gyrus, superior and inferior parietal gyrus and lateral occipital gyrus. Such findings suggest that speed of processing performance is associated with a wide array of cortical regions that provide unique contributions to performance on the Double Decision task. Frontiers Media S.A. 2020-09-02 /pmc/articles/PMC7493680/ /pubmed/33117145 http://dx.doi.org/10.3389/fnagi.2020.00278 Text en Copyright © 2020 Kraft, O’Shea, Albizu, Evangelista, Hausman, Boutzoukas, Nissim, Van Etten, Bharadwaj, Song, Smith, Porges, DeKosky, Hishaw, Wu, Marsiske, Cohen, Alexander and Woods. 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 Kraft, Jessica N. O’Shea, Andrew Albizu, Alejandro Evangelista, Nicole D. Hausman, Hanna K. Boutzoukas, Emanuel Nissim, Nicole R. Van Etten, Emily J. Bharadwaj, Pradyumna K. Song, Hyun Smith, Samantha G. Porges, Eric DeKosky, Steven Hishaw, Georg A. Wu, Samuel Marsiske, Michael Cohen, Ronald Alexander, Gene E. Woods, Adam J. Structural Neural Correlates of Double Decision Performance in Older Adults |
title | Structural Neural Correlates of Double Decision Performance in Older Adults |
title_full | Structural Neural Correlates of Double Decision Performance in Older Adults |
title_fullStr | Structural Neural Correlates of Double Decision Performance in Older Adults |
title_full_unstemmed | Structural Neural Correlates of Double Decision Performance in Older Adults |
title_short | Structural Neural Correlates of Double Decision Performance in Older Adults |
title_sort | structural neural correlates of double decision performance in older adults |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493680/ https://www.ncbi.nlm.nih.gov/pubmed/33117145 http://dx.doi.org/10.3389/fnagi.2020.00278 |
work_keys_str_mv | AT kraftjessican structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT osheaandrew structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT albizualejandro structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT evangelistanicoled structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT hausmanhannak structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT boutzoukasemanuel structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT nissimnicoler structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT vanettenemilyj structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT bharadwajpradyumnak structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT songhyun structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT smithsamanthag structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT porgeseric structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT dekoskysteven structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT hishawgeorga structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT wusamuel structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT marsiskemichael structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT cohenronald structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT alexandergenee structuralneuralcorrelatesofdoubledecisionperformanceinolderadults AT woodsadamj structuralneuralcorrelatesofdoubledecisionperformanceinolderadults |