Evidence map›Paper›PMID 32070180›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2021

Impact of physiological noise in characterizing the functional MRI default-mode network in Alzheimer's disease.

Yi-Tien Li, Chun-Yuan Chang, Yi-Cheng Hsu, Jong-Ling Fuh, Wen-Jui Kuo, Jhy-Neng Tasso Yeh, Fa-Hsuan Lin

Abstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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  6. Rude mechanicals in brain haemodynamics: non-neural actors that influence blood flow.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
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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

7 authors.

Yi-Tien LiInstitute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.ORCID 0000-0003-3834-2615
Chun-Yuan ChangDepartment of Neurology, Min-Sheng General Hospital, Taoyuan, Taiwan.
Yi-Cheng HsuInstitute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Jong-Ling FuhDivision of General Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Wen-Jui KuoInstitute of Neuroscience, National Yang-Ming University, Taipei, Taiwan.
Jhy-Neng Tasso YehInstitute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan.
Fa-Hsuan LinPhysical Sciences Platform, Sunnybrook Research Institute, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functional connectivity of the default-mode network (DMN) monitored by functional magnetic resonance imaging (fMRI) in Alzheimer's disease (AD) patients has been found weaker than that in healthy participants. Since breathing and heart beating can cause fluctuations in the fMRI signal, these physiological activities may affect the fMRI data differently between AD patients and healthy participants. We collected resting-state fMRI data from AD patients and age-matched healthy participants. With concurrent cardiac and respiratory recordings, we estimated both physiological responses phase-locked and non-phase-locked to heart beating and breathing. We found that the cardiac and respiratory physiological responses in AD patients were 3.00 ± 0.51 s and 3.96 ± 0.52 s later (both

Indexed as

AgedAlzheimer DiseaseFemaleHumansMagnetic Resonance ImagingMalecardiac response functionclassificationfMRInetworkphysiological noiseRespiratory response functionresting-state

Identifiers

PMID32070180
PMCPMC7747160

What OpenQuestion holds

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Registered trials

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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.