Cargando…
Filtering and storage working memory networks in younger and older age
INTRODUCTION: Working memory (WM) is a multi‐component model that among others involves the two processes of filtering and storage. The first reflects the necessity to inhibit irrelevant information from entering memory, whereas the latter refers to the active maintenance of object representations i...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102642/ https://www.ncbi.nlm.nih.gov/pubmed/27843697 http://dx.doi.org/10.1002/brb3.544 |
_version_ | 1782466459853651968 |
---|---|
author | Vellage, Anne‐Katrin Becke, Andreas Strumpf, Hendrik Baier, Bernhard Schönfeld, Mircea Ariel Hopf, Jens‐Max Müller, Notger G. |
author_facet | Vellage, Anne‐Katrin Becke, Andreas Strumpf, Hendrik Baier, Bernhard Schönfeld, Mircea Ariel Hopf, Jens‐Max Müller, Notger G. |
author_sort | Vellage, Anne‐Katrin |
collection | PubMed |
description | INTRODUCTION: Working memory (WM) is a multi‐component model that among others involves the two processes of filtering and storage. The first reflects the necessity to inhibit irrelevant information from entering memory, whereas the latter refers to the active maintenance of object representations in memory. In this study, we aimed at a) redefining the neuronal networks sustaining filtering and storage within visual working memory by avoiding shortcomings of prior studies, and b) assessing age‐related changes in these networks. METHODS: We designed a new paradigm that strictly controlled for perceptual load by presenting the same number of stimuli in each of three conditions. We calculated fMRI contrasts between a baseline condition (low filter and low storage load) and conditions that posed high demands on filtering and storage, respectively, in large samples of younger (n = 40) and elder (n = 38) participants. RESULTS: Our approach of comparing contrasts between groups revealed more extensive filter and storage WM networks than previous studies. In the younger group, filtering involved the bilateral insulae, the right occipital cortex, the right brainstem, and the right cerebellum. In the elder group, filtering was associated with the bilateral insulae, right precuneus, and bilateral ventromedial prefrontal cortex. An extensive neuronal network was also found during storage of information in the bilateral posterior parietal cortex, the left ventromedial prefrontal cortex, and the right precuneus in the younger participants. In addition to these brain regions, elder participants recruited the bilateral ventral prefrontal cortex, the superior, middle and inferior and temporal cortex, the left cingulum and the bilateral parahippocampal cortex. CONCLUSIONS: In general, elder participants recruited more brain regions in comparison to younger participants to reach similar accuracy levels. Furthermore, in elder participants one brain region emerged in both contrasts, namely the left ventromedial prefrontal cortex. Hence, elder participants seem to routinely recruit this brain region in demanding tasks, irrespective of whether filtering or storing is challenged. |
format | Online Article Text |
id | pubmed-5102642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-51026422016-11-14 Filtering and storage working memory networks in younger and older age Vellage, Anne‐Katrin Becke, Andreas Strumpf, Hendrik Baier, Bernhard Schönfeld, Mircea Ariel Hopf, Jens‐Max Müller, Notger G. Brain Behav Original Research INTRODUCTION: Working memory (WM) is a multi‐component model that among others involves the two processes of filtering and storage. The first reflects the necessity to inhibit irrelevant information from entering memory, whereas the latter refers to the active maintenance of object representations in memory. In this study, we aimed at a) redefining the neuronal networks sustaining filtering and storage within visual working memory by avoiding shortcomings of prior studies, and b) assessing age‐related changes in these networks. METHODS: We designed a new paradigm that strictly controlled for perceptual load by presenting the same number of stimuli in each of three conditions. We calculated fMRI contrasts between a baseline condition (low filter and low storage load) and conditions that posed high demands on filtering and storage, respectively, in large samples of younger (n = 40) and elder (n = 38) participants. RESULTS: Our approach of comparing contrasts between groups revealed more extensive filter and storage WM networks than previous studies. In the younger group, filtering involved the bilateral insulae, the right occipital cortex, the right brainstem, and the right cerebellum. In the elder group, filtering was associated with the bilateral insulae, right precuneus, and bilateral ventromedial prefrontal cortex. An extensive neuronal network was also found during storage of information in the bilateral posterior parietal cortex, the left ventromedial prefrontal cortex, and the right precuneus in the younger participants. In addition to these brain regions, elder participants recruited the bilateral ventral prefrontal cortex, the superior, middle and inferior and temporal cortex, the left cingulum and the bilateral parahippocampal cortex. CONCLUSIONS: In general, elder participants recruited more brain regions in comparison to younger participants to reach similar accuracy levels. Furthermore, in elder participants one brain region emerged in both contrasts, namely the left ventromedial prefrontal cortex. Hence, elder participants seem to routinely recruit this brain region in demanding tasks, irrespective of whether filtering or storing is challenged. John Wiley and Sons Inc. 2016-09-14 /pmc/articles/PMC5102642/ /pubmed/27843697 http://dx.doi.org/10.1002/brb3.544 Text en © 2016 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Vellage, Anne‐Katrin Becke, Andreas Strumpf, Hendrik Baier, Bernhard Schönfeld, Mircea Ariel Hopf, Jens‐Max Müller, Notger G. Filtering and storage working memory networks in younger and older age |
title | Filtering and storage working memory networks in younger and older age |
title_full | Filtering and storage working memory networks in younger and older age |
title_fullStr | Filtering and storage working memory networks in younger and older age |
title_full_unstemmed | Filtering and storage working memory networks in younger and older age |
title_short | Filtering and storage working memory networks in younger and older age |
title_sort | filtering and storage working memory networks in younger and older age |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102642/ https://www.ncbi.nlm.nih.gov/pubmed/27843697 http://dx.doi.org/10.1002/brb3.544 |
work_keys_str_mv | AT vellageannekatrin filteringandstorageworkingmemorynetworksinyoungerandolderage AT beckeandreas filteringandstorageworkingmemorynetworksinyoungerandolderage AT strumpfhendrik filteringandstorageworkingmemorynetworksinyoungerandolderage AT baierbernhard filteringandstorageworkingmemorynetworksinyoungerandolderage AT schonfeldmirceaariel filteringandstorageworkingmemorynetworksinyoungerandolderage AT hopfjensmax filteringandstorageworkingmemorynetworksinyoungerandolderage AT mullernotgerg filteringandstorageworkingmemorynetworksinyoungerandolderage |