Literature DB >> 35864341

Cognitive decline is associated with frequency-specific resting state functional changes in normal aging.

Dongqiong Fan1, Tao Liu2, Jiyang Jiang3, Nicole A Kochan3, Yilong Wang4, Henry Brodaty3,5, Perminder S Sachdev3,6, Wei Wen3,6.   

Abstract

Resting state low-frequency brain activity may aid in our understanding of the mechanisms of aging-related cognitive decline. Our purpose was to explore the characteristics of the amplitude of low-frequency fluctuations (ALFF) in different frequency bands of fMRI to better understand cognitive aging. Thirty-seven cognitively normal older individuals underwent a battery of neuropsychological tests and MRI scans at baseline and four years later. ALFF from five different frequency bands (typical band, slow-5, slow-4, slow-3, and slow-2) were calculated and analyzed. A two-way ANOVA was used to explore the interaction effects in voxel-wise whole brain ALFF of the time and frequency bands. Paired-sample t-test was used to explore within-group changes over four years. Partial correlation analysis was performed to assess associations between the altered ALFF and cognitive function. Significant interaction effects of time × frequency were distributed over inferior frontal gyrus, superior frontal gyrus, right rolandic operculum, left thalamus, and right putamen. Significant ALFF reductions in all five frequency bands were mainly found in the right hemisphere and the posterior cerebellum; whereas localization of the significantly increased ALFF were mainly found in the cerebellum at typical band, slow-5 and slow-4 bands, and left hemisphere and the cerebellum at slow-3, slow-2 bands. In addition, ALFF changes showed frequency-specific correlations with changes in cognition. These results suggest that changes of local brain activity in cognitively normal aging should be investigated in multiple frequency bands. The association between ALFF changes and cognitive function can potentially aid better understanding of the mechanisms underlying normal cognitive aging.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Aging; Amplitude of low-frequency fluctuations (ALFF); Global cognition; Resting state

Mesh:

Year:  2022        PMID: 35864341     DOI: 10.1007/s11682-022-00682-1

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.224


  18 in total

1.  I. Longitudinal changes in aging brain function.

Authors:  L L Beason-Held; M A Kraut; S M Resnick
Journal:  Neurobiol Aging       Date:  2006-12-20       Impact factor: 4.673

2.  Effects of sociodemographic and health variables on Mini-Mental State Exam scores in older Australians.

Authors:  Tracy M Anderson; Perminder S Sachdev; Henry Brodaty; Julian N Trollor; Gavin Andrews
Journal:  Am J Geriatr Psychiatry       Date:  2007-06       Impact factor: 4.105

3.  Movement-related effects in fMRI time-series.

Authors:  K J Friston; S Williams; R Howard; R S Frackowiak; R Turner
Journal:  Magn Reson Med       Date:  1996-03       Impact factor: 4.668

4.  Ultrafast fMRI of the rodent brain using simultaneous multi-slice EPI.

Authors:  Hsu-Lei Lee; Zengmin Li; Elizabeth J Coulson; Kai-Hsiang Chuang
Journal:  Neuroimage       Date:  2019-03-22       Impact factor: 6.556

Review 5.  Executive functions.

Authors:  Adele Diamond
Journal:  Annu Rev Psychol       Date:  2012-09-27       Impact factor: 24.137

Review 6.  Thalamic structures and associated cognitive functions: Relations with age and aging.

Authors:  Rosemary Fama; Edith V Sullivan
Journal:  Neurosci Biobehav Rev       Date:  2015-04-09       Impact factor: 8.989

Review 7.  The adaptive brain: aging and neurocognitive scaffolding.

Authors:  Denise C Park; Patricia Reuter-Lorenz
Journal:  Annu Rev Psychol       Date:  2009       Impact factor: 24.137

8.  Frequency specific resting state functional abnormalities in psychosis.

Authors:  Suril Gohel; Juan A Gallego; Delbert G Robinson; Pamela DeRosse; Bharat Biswal; Philip R Szeszko
Journal:  Hum Brain Mapp       Date:  2018-08-30       Impact factor: 5.038

Review 9.  Striving toward translation: strategies for reliable fMRI measurement.

Authors:  Maxwell L Elliott; Annchen R Knodt; Ahmad R Hariri
Journal:  Trends Cogn Sci       Date:  2021-06-14       Impact factor: 24.482

10.  Frequency-dependent changes in the amplitude of low-frequency fluctuations in internet gaming disorder.

Authors:  Xiao Lin; Xize Jia; Yu-Feng Zang; Guangheng Dong
Journal:  Front Psychol       Date:  2015-09-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.