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The knowledge domain of cognitive neuroscience of aging: A Scientometric and bibliometric analysis
Cognitive neuroscience of aging (CNA) is a relatively young field compared with other branches of cognitive aging (CA). From the beginning of this century, scholars in CNA have contributed many valuable research to explain the cognitive ability decline in aging brains in terms of functional changes,...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947251/ https://www.ncbi.nlm.nih.gov/pubmed/36845653 http://dx.doi.org/10.3389/fnagi.2023.999594 |
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author | Jiang, Jiaxing Fan, Lin Liu, Jia |
author_facet | Jiang, Jiaxing Fan, Lin Liu, Jia |
author_sort | Jiang, Jiaxing |
collection | PubMed |
description | Cognitive neuroscience of aging (CNA) is a relatively young field compared with other branches of cognitive aging (CA). From the beginning of this century, scholars in CNA have contributed many valuable research to explain the cognitive ability decline in aging brains in terms of functional changes, neuromechanism, and neurodegenerative diseases. However, very few studies have systematically reviewed the research in the domain of CAN, with regard to its primary research topics, theories, findings, and future development. Therefore, this study used CiteSpace to conduct a bibliometric analysis of 1,462 published articles in CNA from Web of Science (WOS) and investigated the highly influential and potential research topics and theories of CNA, as well as important brain areas involved in CAN during 2000–2021. The results revealed that: (1) the research topics of “memory” and “attention” have been the focus of most studies, progressing into a fMRI-oriented stage; (2) the scaffolding theory and hemispheric asymmetry reduction in older adults model hold a key status in CNA, characterizing aging as a dynamic process and presenting compensatory relationships between different brain areas; and (3) age-related changes always occur in temporal (especially the hippocampus), parietal, and frontal lobes and the cognitive declines establish the compensation relationship between the anterior and posterior regions. |
format | Online Article Text |
id | pubmed-9947251 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99472512023-02-24 The knowledge domain of cognitive neuroscience of aging: A Scientometric and bibliometric analysis Jiang, Jiaxing Fan, Lin Liu, Jia Front Aging Neurosci Aging Neuroscience Cognitive neuroscience of aging (CNA) is a relatively young field compared with other branches of cognitive aging (CA). From the beginning of this century, scholars in CNA have contributed many valuable research to explain the cognitive ability decline in aging brains in terms of functional changes, neuromechanism, and neurodegenerative diseases. However, very few studies have systematically reviewed the research in the domain of CAN, with regard to its primary research topics, theories, findings, and future development. Therefore, this study used CiteSpace to conduct a bibliometric analysis of 1,462 published articles in CNA from Web of Science (WOS) and investigated the highly influential and potential research topics and theories of CNA, as well as important brain areas involved in CAN during 2000–2021. The results revealed that: (1) the research topics of “memory” and “attention” have been the focus of most studies, progressing into a fMRI-oriented stage; (2) the scaffolding theory and hemispheric asymmetry reduction in older adults model hold a key status in CNA, characterizing aging as a dynamic process and presenting compensatory relationships between different brain areas; and (3) age-related changes always occur in temporal (especially the hippocampus), parietal, and frontal lobes and the cognitive declines establish the compensation relationship between the anterior and posterior regions. Frontiers Media S.A. 2023-02-09 /pmc/articles/PMC9947251/ /pubmed/36845653 http://dx.doi.org/10.3389/fnagi.2023.999594 Text en Copyright © 2023 Jiang, Fan and Liu. https://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 | Aging Neuroscience Jiang, Jiaxing Fan, Lin Liu, Jia The knowledge domain of cognitive neuroscience of aging: A Scientometric and bibliometric analysis |
title | The knowledge domain of cognitive neuroscience of aging: A Scientometric and bibliometric analysis |
title_full | The knowledge domain of cognitive neuroscience of aging: A Scientometric and bibliometric analysis |
title_fullStr | The knowledge domain of cognitive neuroscience of aging: A Scientometric and bibliometric analysis |
title_full_unstemmed | The knowledge domain of cognitive neuroscience of aging: A Scientometric and bibliometric analysis |
title_short | The knowledge domain of cognitive neuroscience of aging: A Scientometric and bibliometric analysis |
title_sort | knowledge domain of cognitive neuroscience of aging: a scientometric and bibliometric analysis |
topic | Aging Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947251/ https://www.ncbi.nlm.nih.gov/pubmed/36845653 http://dx.doi.org/10.3389/fnagi.2023.999594 |
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