Evidence map›Paper›PMID 31478145›Full record

ArticleBrain imaging and behavior2020

Frequency-dependent changes in fractional amplitude of low-frequency oscillations in Alzheimer's disease: a resting-state fMRI study.

Liu Yang, Yan Yan, Yuxia Li, Xiaochen Hu, Jie Lu, Piu Chan, Tianyi Yan, Ying Han

Abstract read
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In one paragraph

Article in Brain imaging and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

48 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  13. Comparing and scaling fMRI features for brain-behavior prediction.Imaging neuroscience (Cambridge, Mass.) · 2025
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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.

Liu Yang *Department of Neurology, Xuanwu Hospital of Capital Medical University, No.45 Street Changchun, District Xichen, Beijing, 100053, China.
Yan Yan *School of Life Science, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China.
Yuxia LiDepartment of Neurology, Xuanwu Hospital of Capital Medical University, No.45 Street Changchun, District Xichen, Beijing, 100053, China.
Xiaochen HuDepartment of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, Cologne, Germany.
Jie LuDepartment of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Piu ChanDepartment of Neurology, Xuanwu Hospital of Capital Medical University, No.45 Street Changchun, District Xichen, Beijing, 100053, China.
Tianyi YanSchool of Life Science, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China. yantianyi@bit.edu.cn.
Ying HanDepartment of Neurology, Xuanwu Hospital of Capital Medical University, No.45 Street Changchun, District Xichen, Beijing, 100053, China. hanying@xwh.ccmu.edu.cn.

Funding

Beijing Nova Program Z171100001117057National Natural Science Foundation of China 31371007National Natural Science Foundation of China 61633018National Natural Science Foundation of China 81522021National Natural Science Foundation of China 81671776Natural Science Foundation of Beijing Municipality 7132147Postdoctoral Research Foundation of China 2018M641414
6 · The paper itself

Abstract

Alzheimer's disease (AD) is the most common neurodegenerative disease in elderly individuals. We conducted this study to examine whether alterations in the fractional amplitudes of low-frequency fluctuations (fALFF) in the AD spectrum were frequency-dependent and symptom-relevant. A total of 43 patients with subjective cognitive decline (SCD), 52 with amnestic mild cognitive impairment (aMCI), 44 with Alzheimer's dementia (d-AD) and 55 well-matched controls participated in resting-state functional magnetic resonance imaging (rs-fMRI) scans. The amplitudes were measured using fALFF within the slow-4 (0.027-0.073 Hz) and slow-5 (0.01-0.027 Hz) bands. Repeated-measures analysis of variance was performed on fALFF within two bands and correlated with neuropsychological test scores. The significant main effects of frequency and group on fALFF differed widely across brain regions. There were more varied areas in the slow-5 band than the slow-4 band. The fALFF associated with primary disease effects was mainly distributed in the parietal lobe. Obvious frequency band and group interaction effects were observed in the left angular gyrus, left calcarine fissure and surrounding cortex, left superior cerebellum, left cuneus and right lingual gyrus. Neuropsychological tests scores were significantly correlated with the fALFF magnitude of the left cuneus and right lingual in the slow-5 band. Our results suggested that the AD continuum had abnormal amplitudes in intrinsic brain activity, and these abnormalities were frequency-dependent and mainly associated with the slow-5 band rather than the slow-4 band. This may guide the frequency choice of future rs-fMRI studies and provide new insights into the neuropathophysiology of AD.

Indexed as

Alzheimer DiseaseAgedBrainBrain MappingHumansMagnetic Resonance ImagingAlzheimer’s diseasefALFFFrequency dependenceResting-state functional MRISubjective cognitive decline

Identifiers

PMID31478145

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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.