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Age-related reduction of adaptive brain response during semantic integration is associated with gray matter reduction.
Zhu, Zude; Yang, Fengjun; Li, Dongning; Zhou, Lianjun; Liu, Ying; Zhang, Ying; Chen, Xuezhi.
Affiliation
  • Zhu Z; School of Linguistics Sciences and Arts, and Collaborative Innovation Center for Language Competence, Jiangsu Normal University, Xuzhou, China.
  • Yang F; Ningcheng Central Hospital, Chifeng, China.
  • Li D; Ningcheng Central Hospital, Chifeng, China.
  • Zhou L; Ningcheng Central Hospital, Chifeng, China.
  • Liu Y; Ningcheng Central Hospital, Chifeng, China.
  • Zhang Y; Sucheng People's Hospital, Suqian, China.
  • Chen X; Ningcheng Central Hospital, Chifeng, China.
PLoS One ; 12(12): e0189462, 2017.
Article in En | MEDLINE | ID: mdl-29236772
ABSTRACT
While aging is associated with increased knowledge, it is also associated with decreased semantic integration. To investigate brain activation changes during semantic integration, a sample of forty-eight 25-75 year-old adults read sentences with high cloze (HC) and low cloze (LC) probability while functional magnetic resonance imaging was conducted. Significant age-related reduction of cloze effect (LC vs. HC) was found in several regions, especially the left middle frontal gyrus (MFG) and right inferior frontal gyrus (IFG), which play an important role in semantic integration. Moreover, when accounting for global gray matter volume reduction, the age-cloze correlation in the left MFG and right IFG was absent. The results suggest that brain structural atrophy may disrupt brain response in aging brains, which then show less brain engagement in semantic integration.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Semantics / Aging / Gray Matter Type of study: Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Semantics / Aging / Gray Matter Type of study: Risk_factors_studies Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2017 Type: Article Affiliation country: China