Aging patterns of Japanese auditory semantic processing: an fMRI study.


Journal

Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition
ISSN: 1744-4128
Titre abrégé: Neuropsychol Dev Cogn B Aging Neuropsychol Cogn
Pays: United States
ID NLM: 9614434

Informations de publication

Date de publication:
03 2022
Historique:
pubmed: 23 12 2020
medline: 4 3 2022
entrez: 22 12 2020
Statut: ppublish

Résumé

The efficacy of listening comprehension is presumably sustained over the life span, contradicting the stereotype of universal cognitive decline. It is thus worth investigating whether and how the preserved auditory semantic function is supported by affected or unaffected neural mechanism with age. To investigate this issue, 22 younger and 21 older Japanese adults were imaged in a 3 Tesla MRI scanner while performing an auditory semantic-tone task. Results showed that (a) relative to younger adults, older participants had preserved accuracy and slowed responses, underpinned by weakened interconnectivity and largely unchanged activation and laterality; (b) older adults with superior performance developed increased regional left-lateralization and stronger interregional connectivity within the domain-general networks; (c) these age-related or performance-related cortical reorganizations were largely consistent with neurocognitive aging models that were supported by age-sensitive cognitive domains, suggesting that these models might also be accountable for relatively age-intact cognitive functions such as auditory semantic processing.

Identifiants

pubmed: 33349128
doi: 10.1080/13825585.2020.1861202
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

213-236

Auteurs

Hengshuang Liu (H)

National Key Research Centre for Linguistics and Applied Linguistics, Adjunct Researcher in the Bilingual Cognition and Development Lab, Guangdong University of Foreign Studies, Guangzhou, China.

Makoto Miyakoshi (M)

Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, San Diego, CA, USA.

Toshiharu Nakai (T)

Department of Radiology, Graduate School of Dentistry, Osaka University, Suita, Osaka, Japan.

Shen-Hsing Annabel Chen (SH)

Psychology, School of Social Sciences, Nanyang Technological University, Singapore, Singapore.
Centre for Research and Development in Learning, Nanyang Technological University, Singapore, Singapore.
Lee Kong Chian School of Medicine (Lkcmedicine), Nanyang Technological University, Singapore, Singapore.
National Institute of Education, Nanyang Technological University, Singapore, Singapore.

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Classifications MeSH