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The characteristics of glucose metabolism and functional connectivity in posterior default network during nondemented aging: relationship with executive function performance.
Xu, Kai; Niu, Na; Li, Xin; Chen, Yuan; Wang, Dandan; Zhang, Junying; Chen, Yaojing; Li, He; Wei, Dongfeng; Chen, Kewei; Cui, Ruixue; Zhang, Zhanjun; Yao, Li.
Afiliación
  • Xu K; School of Artificial Intelligence, Beijing Normal University, Beijing 100875, P.R. China.
  • Niu N; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, P.R. China.
  • Li X; Department of Nuclear Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No1 Shuaifuyuan,Wangfujing St., Dongcheng District, Beijing 100730, P.R. China.
  • Chen Y; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, P.R. China.
  • Wang D; BABRI Centre, Beijing Normal University, Beijing 100875, P.R. China.
  • Zhang J; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, P.R. China.
  • Chen Y; BABRI Centre, Beijing Normal University, Beijing 100875, P.R. China.
  • Li H; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, P.R. China.
  • Wei D; BABRI Centre, Beijing Normal University, Beijing 100875, P.R. China.
  • Chen K; BABRI Centre, Beijing Normal University, Beijing 100875, P.R. China.
  • Cui R; Institute of Basic Research in Clinical Medicine, China Academy of Traditional Chinese Medicine, Beijing 10070, P.R. China.
  • Zhang Z; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, P.R. China.
  • Yao L; BABRI Centre, Beijing Normal University, Beijing 100875, P.R. China.
Cereb Cortex ; 33(6): 2901-2911, 2023 03 10.
Article en En | MEDLINE | ID: mdl-35909217
ABSTRACT

BACKGROUND:

Understanding the characteristics of intrinsic connectivity networks (ICNs) in terms of both glucose metabolism and functional connectivity (FC) is important for revealing cognitive aging and neurodegeneration, but the relationships between these two aspects during aging has not been well established in older adults.

OBJECTIVE:

This study is to assess the relationship between age-related glucose metabolism and FC in key ICNs, and their direct or indirect effects on cognitive deficits in older adults.

METHODS:

We estimated the individual-level standard uptake value ratio (SUVr) and FC of eleven ICNs in 59 cognitively unimpaired older adults, then analyzed the associations of SUVr and FC of each ICN and their relationships with cognitive performance.

RESULTS:

The results showed both the SUVr and FC in the posterior default mode network (pDMN) had a significant decline with age, and the association between them was also significant. Moreover, both decline of metabolism and FC in the pDMN were significantly correlated with executive function decline. Finally, mediation analysis revealed the glucose metabolism mediated the FC decline with age and FC mediated the executive function deficits.

CONCLUSIONS:

Our findings indicated that covariance between glucose metabolism and FC in the pDMN is one of the main routes that contributes to age-related executive function decline.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Trastornos del Conocimiento / Función Ejecutiva Límite: Aged / Humans Idioma: En Revista: Cereb Cortex Asunto de la revista: CEREBRO Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Trastornos del Conocimiento / Función Ejecutiva Límite: Aged / Humans Idioma: En Revista: Cereb Cortex Asunto de la revista: CEREBRO Año: 2023 Tipo del documento: Article