Evidence map›Paper›PMID 33190597›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2021

Separating vascular and neuronal effects of age on fMRI BOLD signals.

Kamen A Tsvetanov, Richard N A Henson, James B Rowe

Open access · hybridAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 18% 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

91 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  15. Distributed fMRI Patterns Coupled to Low-Frequency Cardiorespiratory Dynamics Provide Markers of Aging.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  16. Temporal and Spatial Scales of Human Resting-State Cortical Activity across the Lifespan.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
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31 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Kamen A TsvetanovDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0SZ, UK.
Richard N A HensonDepartment of Psychiatry, University of Cambridge, Cambridge CB2 0SP, UK.
James B RoweDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0SZ, UK.
MRC Cognition and Brain Sciences Unit · GBUniversity of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/H008217/1Department of HealthMedical Research Council MC_U105597119Medical Research Council MC_UU_00005/12Medical Research Council MC_UU_00005/8Medical Research Council SUAG/046 G101400Medical Research Council SUAG/051 G101400Wellcome Trust 103838Wellcome Trust G101149
6 · The paper itself

Abstract

Accurate identification of brain function is necessary to understand the neurobiology of cognitive ageing, and thereby promote well-being across the lifespan. A common tool used to investigate neurocognitive ageing is functional magnetic resonance imaging (fMRI). However, although fMRI data are often interpreted in terms of neuronal activity, the blood oxygenation level-dependent (BOLD) signal measured by fMRI includes contributions of both vascular and neuronal factors, which change differentially with age. While some studies investigate vascular ageing factors, the results of these studies are not well known within the field of neurocognitive ageing and therefore vascular confounds in neurocognitive fMRI studies are common. Despite over 10 000 BOLD-fMRI papers on ageing, fewer than 20 have applied techniques to correct for vascular effects. However, neurovascular ageing is not only a confound in fMRI, but an important feature in its own right, to be assessed alongside measures of neuronal ageing. We review current approaches to dissociate neuronal and vascular components of BOLD-fMRI of regional activity and functional connectivity. We highlight emerging evidence that vascular mechanisms in the brain do not simply control blood flow to support the metabolic needs of neurons, but form complex neurovascular interactions that influence neuronal function in health and disease. This article is part of the theme issue 'Key relationships between non-invasive functional neuroimaging and the underlying neuronal activity'.

Indexed as

Magnetic Resonance ImagingAgingAnimalsBrainCerebrovascular CirculationHemodynamicsHumansNeuronsNeurovascular CouplingOxygenOxygenageingcardiovascularcerebrovascularcognitive functionfMRIneurovascular

Identifiers

PMID33190597
PMCPMC7741031
OpenAlexW2993297469

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.