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TVA–based assessment of attentional capacities–associations with age and indices of brain white matter microstructure

In this study the primary aims were to characterize the effects of age on basic components of visual attention derived from assessments based on a theory of visual attention (TVA) in 325 healthy volunteers covering the adult lifespan (19–81 years). Furthermore, we aimed to investigate how age-relate...

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Autores principales: Espeseth, Thomas, Vangkilde, Signe A., Petersen, Anders, Dyrholm, Mads, Westlye, Lars T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204453/
https://www.ncbi.nlm.nih.gov/pubmed/25374549
http://dx.doi.org/10.3389/fpsyg.2014.01177
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author Espeseth, Thomas
Vangkilde, Signe A.
Petersen, Anders
Dyrholm, Mads
Westlye, Lars T.
author_facet Espeseth, Thomas
Vangkilde, Signe A.
Petersen, Anders
Dyrholm, Mads
Westlye, Lars T.
author_sort Espeseth, Thomas
collection PubMed
description In this study the primary aims were to characterize the effects of age on basic components of visual attention derived from assessments based on a theory of visual attention (TVA) in 325 healthy volunteers covering the adult lifespan (19–81 years). Furthermore, we aimed to investigate how age-related differences on TVA parameters are associated with white matter (WM) microstructure as indexed by diffusion tensor imaging (DTI). Finally, we explored how TVA parameter estimates were associated with complex, or multicomponent indices of processing speed (Digit-symbol substitution, DSS) and fluid intelligence (gF). The results indicated that the TVA parameters for visual short-term memory capacity, K, and for attentional selectivity, α, were most strongly associated with age before the age of 50. However, in this age range, it was the parameter for processing speed, C, that was most clearly associated with DTI indices, in this case fractional anisotropy (FA), particularly in the genu and body of the corpus callosum. Furthermore, differences in the C parameter partially mediated differences in DSS within this age range. After the age of 50, the TVA parameter for the perceptual threshold, t(0), as well as K, were most strongly related to participant age. Both parameters, but t(0) more strongly so than K, were associated WM diffusivity, particularly in projection fibers such as the internal capsule, the sagittal stratum, and the corona radiata. Within this age range, t(0) partially mediated age-related differences in gF. The results are consistent with, and provide novel empirical support for the neuroanatomical localization of TVA computations as outlined in the neuronal interpretation of TVA (NTVA). Furthermore, the results indicate that to understand the biological sources of age-related changes in processing speed and fluid cognition, it may be useful to employ methods that allow for computational fractionation of these multicomponent measures.
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spelling pubmed-42044532014-11-05 TVA–based assessment of attentional capacities–associations with age and indices of brain white matter microstructure Espeseth, Thomas Vangkilde, Signe A. Petersen, Anders Dyrholm, Mads Westlye, Lars T. Front Psychol Psychology In this study the primary aims were to characterize the effects of age on basic components of visual attention derived from assessments based on a theory of visual attention (TVA) in 325 healthy volunteers covering the adult lifespan (19–81 years). Furthermore, we aimed to investigate how age-related differences on TVA parameters are associated with white matter (WM) microstructure as indexed by diffusion tensor imaging (DTI). Finally, we explored how TVA parameter estimates were associated with complex, or multicomponent indices of processing speed (Digit-symbol substitution, DSS) and fluid intelligence (gF). The results indicated that the TVA parameters for visual short-term memory capacity, K, and for attentional selectivity, α, were most strongly associated with age before the age of 50. However, in this age range, it was the parameter for processing speed, C, that was most clearly associated with DTI indices, in this case fractional anisotropy (FA), particularly in the genu and body of the corpus callosum. Furthermore, differences in the C parameter partially mediated differences in DSS within this age range. After the age of 50, the TVA parameter for the perceptual threshold, t(0), as well as K, were most strongly related to participant age. Both parameters, but t(0) more strongly so than K, were associated WM diffusivity, particularly in projection fibers such as the internal capsule, the sagittal stratum, and the corona radiata. Within this age range, t(0) partially mediated age-related differences in gF. The results are consistent with, and provide novel empirical support for the neuroanatomical localization of TVA computations as outlined in the neuronal interpretation of TVA (NTVA). Furthermore, the results indicate that to understand the biological sources of age-related changes in processing speed and fluid cognition, it may be useful to employ methods that allow for computational fractionation of these multicomponent measures. Frontiers Media S.A. 2014-10-21 /pmc/articles/PMC4204453/ /pubmed/25374549 http://dx.doi.org/10.3389/fpsyg.2014.01177 Text en Copyright © 2014 Espeseth, Vangkilde, Petersen, Dyrholm and Westlye. 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 Psychology
Espeseth, Thomas
Vangkilde, Signe A.
Petersen, Anders
Dyrholm, Mads
Westlye, Lars T.
TVA–based assessment of attentional capacities–associations with age and indices of brain white matter microstructure
title TVA–based assessment of attentional capacities–associations with age and indices of brain white matter microstructure
title_full TVA–based assessment of attentional capacities–associations with age and indices of brain white matter microstructure
title_fullStr TVA–based assessment of attentional capacities–associations with age and indices of brain white matter microstructure
title_full_unstemmed TVA–based assessment of attentional capacities–associations with age and indices of brain white matter microstructure
title_short TVA–based assessment of attentional capacities–associations with age and indices of brain white matter microstructure
title_sort tva–based assessment of attentional capacities–associations with age and indices of brain white matter microstructure
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204453/
https://www.ncbi.nlm.nih.gov/pubmed/25374549
http://dx.doi.org/10.3389/fpsyg.2014.01177
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