Evidence map›Paper›PMID 35864341›Full record

ArticleBrain imaging and behavior2022

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

Dongqiong Fan, Tao Liu, Jiyang Jiang, Nicole A Kochan, Yilong Wang, Henry Brodaty, Perminder S Sachdev, Wei Wen

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Dongqiong FanBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Tao LiuBeijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China. tao.liu@buaa.edu.cn.ORCID http://orcid.org/0000-0002-7783-3073
Jiyang JiangCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW, Sydney, New South Wales, Australia.
Nicole A KochanCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW, Sydney, New South Wales, Australia.
Yilong WangDepartment of Neurology, Beijing TianTan Hospital, Capital Medical University, Beijing, China. yilong528@aliyun.com.
Henry BrodatyCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW, Sydney, New South Wales, Australia.
Perminder S SachdevCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW, Sydney, New South Wales, Australia.
Wei WenCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW, Sydney, New South Wales, Australia.
UNSW Sydney · AUBeihang University · CNCapital Medical University · CN

Funding

Beijing Natural Science Foundation Z200016National Health and Medical Research Council (NHMRC) Australia Project Program 1093083National Health and Medical Research Council (NHMRC) Australia Project Program 350833National Health and Medical Research Council (NHMRC) Australia Project Program 568969National Natural Science Foundation of China 61971017National Natural Science Foundation of China 81871434
6 · The paper itself

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.

Indexed as

Cognitive DysfunctionMagnetic Resonance ImagingAgingBrainBrain MappingHumansAgingAmplitude of low-frequency fluctuations (ALFF)Global cognitionResting state

Identifiers

PMID35864341
OpenAlexW4286496627

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.