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Age-related changes in the association of resting-state fMRI signal variability and global functional connectivity in non-demented healthy people.
Xie, Wanqing; Peng, Chung-Kang; Shen, Jihong; Lin, Ching-Po; Tsai, Shih-Jen; Wang, Shujuan; Chu, Qianqian; Yang, Albert C.
Afiliación
  • Xie W; Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center / Harvard Medical School, Boston, MA, United States; College of Mathematical Sciences, Harbin Engineering University, Harbin, China.
  • Peng CK; Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center / Harvard Medical School, Boston, MA, United States.
  • Shen J; College of Mathematical Sciences, Harbin Engineering University, Harbin, China.
  • Lin CP; Institute of Brain Sciences, National Yang-Ming University, Taipei, Taiwan.
  • Tsai SJ; Institute of Brain Sciences, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Wang S; College of Mathematical Sciences, Harbin Engineering University, Harbin, China.
  • Chu Q; College of Mathematical Sciences, Harbin Engineering University, Harbin, China.
  • Yang AC; Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center / Harvard Medical School, Boston, MA, United States; Institute of Brain Sciences, National Yang-Ming University, Taipei, Taiwan; Digital Medicine Center, National Yang-Ming University, Taipei, Taiwan. Elec
Psychiatry Res ; 291: 113257, 2020 09.
Article en En | MEDLINE | ID: mdl-32619826
Research suggests that the aging relates to variability of resting-state fMRI (rs-fMRI) signal and the functional connectivity. However, the association between the spatial and temporal activity of resting-state fMRI signal was less documented. We recruited 477 healthy Han Chinese participants, who were separated into young, middle and old groups to investigate the relationship between the variability and global functional connectivity (gFC) in different age ranges using standard deviation (SD) of time series and gFC, respectively. Our analysis revealed the changing patterns during healthy aging: 1) 17 brain regions(Olfactory_L, Orbital_L etc.) were identified to have significant association of age with both SD and gFC respectively by linear regression analysis; 2) Two typical associations could be observed between SD and gFC: positive and negative correlations; 3) The variation ratio of SD to gFC was changing with age at the voxel level by using unsupervised clustering method. It is the first time to combine voxel-wise variability and gFC together for the study of age-related changes with rs-fMRI signal. This study may provide a new clue for understanding the synchronization of human brain based on SD and gFC due to the effect of aging.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Envejecimiento / Imagen por Resonancia Magnética / Red Nerviosa Tipo de estudio: Diagnostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Psychiatry Res Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Irlanda
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encéfalo / Envejecimiento / Imagen por Resonancia Magnética / Red Nerviosa Tipo de estudio: Diagnostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Psychiatry Res Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Irlanda