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Neurovascular Coupling

Cardiovascular Medicine · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 4 min read

Mechanism by which changes in neural activity are tightly associated with regional cortical hemodynamics and metabolism changes.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (720 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Mechanism by which changes in neural activity are tightly associated with regional cortical hemodynamics and metabolism changes. The association is often inferred from neuroimaging signals (e.g., fMRI; or nir spectroscopy).

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Coupling, Neurovascular; Couplings, Neurovascular; Neurovascular Couplings; Cortical Hemodynamic Responses; Hemodynamic Response, Cortical; Hemodynamic Responses, Cortical; Response, Cortical Hemodynamic; Responses, Cortical Hemodynamic.

Where it fits in the MeSH classification

Broader topics
Cerebrovascular Circulation
See also
Hemodynamics

Related concepts

  • Hemodynamics
  • Neuroimaging
  • Nir Spectroscopy

Research landscape

PubMed indexes 1,046 records tagged with the MeSH heading “Neurovascular Coupling” (counts retrieved 2026-10-29). 657 of them (62.8%) were published from 2020 onward, and the busiest period so far is 2020 onward with 657 records.

Reviews account for 226 records (21.6%) and meta-analyses for 3. Randomized controlled trials number 9 (0.9%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 0 records; 2000-2009: 0 records; 2010-2019: 413 records; 2020 onward: 657 records0through 199902000-20094132010-20196572020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19990
2000-20090
2010-2019413
2020 onward657
Share of records by publication typeReviews: 21.6 percent; Meta-analyses: 0.3 percent; Randomized controlled trials: 0.9 percentReviews21.6% (226)Meta-analyses0.3% (3)Randomized controlled trials0.9% (9)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 1,046 PubMed records
TypeRecordsShare
Reviews22621.6%
Meta-analyses30.3%
Randomized controlled trials90.9%

Method: PubMed query "Neurovascular Coupling"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in cardiovascular medicine

Cardiovascular medicine has an unusually large body of randomized trials, so the type of outcome matters: hard clinical events such as death, heart attack and stroke carry more weight than changes in blood pressure, cholesterol or imaging markers that only predict risk. Observational studies can show associations but are confounded by age, lifestyle and other illness. Check whether a result is about prevention or treatment, the baseline risk of participants, and the absolute rather than only the relative size of any benefit.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Interaction of Microglia and Astrocytes in the Neurovascular Unit
Liu LR, Liu JC, Bao JS, Bai QQ, Wang GQ
2020Review article
Design not recorded in structured metadata
460cc by
PMID 32733433 · DOI · PMC7362712
Microglia modulate blood flow, neurovascular coupling, and hypoperfusion via purinergic actions
Császár E, Lénárt N, Cserép C, Környei Z, Fekete R, Pósfai B, et al.
2022Research article
Design not recorded in structured metadata
228cc by
PMID 35201268 · DOI · PMC8932534
Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder
Husain SF, Yu R, Tang TB, Tam WW, Tran B, Quek TT, et al.
2020Research article
Design not recorded in structured metadata
169cc by
PMID 32546704 · DOI · PMC7298029
BOLD signal changes can oppose oxygen metabolism across the human cortex
Epp SM, Castrillón G, Yuan B, Andrews-Hanna J, Preibisch C, Riedl V
2026Research article
Design not recorded in structured metadata
28cc by
PMID 41402521 · DOI · PMC13156032

Interaction of Microglia and Astrocytes in the Neurovascular Unit [1]

Review article Liu LR, Liu JC, Bao JS, Bai QQ, Wang GQ · · 2020 · cited 460 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The interaction between microglia and astrocytes significantly influences neuroinflammation.
Closing excerpt
Although both microglia and astrocytes have different functional characteristics, they can achieve immune "optimization" through their mutual communication and cooperation in the NVU and build a cascaded immune network of amplification.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (211 words)

The interaction between microglia and astrocytes significantly influences neuroinflammation. Microglia/astrocytes, part of the neurovascular unit (NVU), are activated by various brain insults. The local extracellular and intracellular signals determine their characteristics and switch of phenotypes. Microglia and astrocytes are activated into two polarization states: the pro-inflammatory phenotype (M1 and A1) and the anti-inflammatory phenotype (M2 and A2). During neuroinflammation, induced by stroke or lipopolysaccharides, microglia are more sensitive to pathogens, or damage; they are thus initially activated into the M1 phenotype and produce common inflammatory signals such as IL-1 and TNF-α to trigger reactive astrocytes into the A1 phenotype. These inflammatory signals can be amplified not only by the self-feedback loop of microglial activation but also by the unique anatomy structure of astrocytes. As the pathology further progresses, resulting in local environmental changes, M1-like microglia switch to the M2 phenotype, and M2 crosstalk with A2. While astrocytes communicate simultaneously with neurons and blood vessels to maintain the function of neurons and the blood-brain barrier (BBB), their subtle changes may be identified and responded by astrocytes, and possibly transferred to microglia. Although both microglia and astrocytes have different functional characteristics, they can achieve immune "optimization" through their mutual communication and cooperation in the NVU and build a cascaded immune network of amplification.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32733433 · DOI · PMC7362712

Microglia modulate blood flow, neurovascular coupling, and hypoperfusion via purinergic actions [2]

Research article Császár E, Lénárt N, Cserép C, Környei Z, Fekete R, Pósfai B, et al. · · 2022 · cited 228 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Microglia, the main immunocompetent cells of the brain, regulate neuronal function, but their contribution to cerebral blood flow (CBF) regulation has remained elusive.
Closing excerpt
Thus, our data reveal a previously unrecognized role for microglia in CBF regulation, with broad implications for common neurological diseases.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (166 words)

Microglia, the main immunocompetent cells of the brain, regulate neuronal function, but their contribution to cerebral blood flow (CBF) regulation has remained elusive. Here, we identify microglia as important modulators of CBF both under physiological conditions and during hypoperfusion. Microglia establish direct, dynamic purinergic contacts with cells in the neurovascular unit that shape CBF in both mice and humans. Surprisingly, the absence of microglia or blockade of microglial P2Y12 receptor (P2Y12R) substantially impairs neurovascular coupling in mice, which is reiterated by chemogenetically induced microglial dysfunction associated with impaired ATP sensitivity. Hypercapnia induces rapid microglial calcium changes, P2Y12R-mediated formation of perivascular phylopodia, and microglial adenosine production, while depletion of microglia reduces brain pH and impairs hypercapnia-induced vasodilation. Microglial actions modulate vascular cyclic GMP levels but are partially independent of nitric oxide. Finally, microglial dysfunction markedly impairs P2Y12R-mediated cerebrovascular adaptation to common carotid artery occlusion resulting in hypoperfusion. Thus, our data reveal a previously unrecognized role for microglia in CBF regulation, with broad implications for common neurological diseases.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 35201268 · DOI · PMC8932534

Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder [3]

Research article Husain SF, Yu R, Tang TB, Tam WW, Tran B, Quek TT, et al. · · 2020 · cited 169 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Reduced haemodynamic response in the frontotemporal cortices of patients with major depressive disorder (MDD) has been demonstrated using functional near-infrared spectroscopy (fNIRS).
Closing excerpt
Haemodynamic response measured by fNIRS during an English letter fluency task is a promising biomarker for MDD.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (192 words)

Reduced haemodynamic response in the frontotemporal cortices of patients with major depressive disorder (MDD) has been demonstrated using functional near-infrared spectroscopy (fNIRS). Most notably, changes in cortical oxy-haemoglobin during a Japanese phonetic fluency task can differentiate psychiatric patients from healthy controls (HC). However, this paradigm has not been validated in the English language. Therefore, the present work aimed to distinguish patients with MDD from HCs, using haemodynamic response measured during an English letter fluency task. One hundred and five HCs and 105 patients with MDD took part in this study. NIRS signals during the verbal fluency task (VFT) was acquired using a 52-channel system, and changes in oxy-haemoglobin in the frontal and temporal regions were quantified. Depression severity, psychosocial functioning, pharmacotherapy and psychiatric history were noted. Patients with MDD had smaller changes in oxy-haemoglobin in the frontal and temporal cortices than HCs. In both regions of interest, oxy-haemoglobin was not associated with any of the clinical variables studied. 75.2% and 76.5% of patients with MDD were correctly classified using frontal and temporal region oxy-haemoglobin, respectively. Haemodynamic response measured by fNIRS during an English letter fluency task is a promising biomarker for MDD.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32546704 · DOI · PMC7298029

BOLD signal changes can oppose oxygen metabolism across the human cortex [4]

Research article Epp SM, Castrillón G, Yuan B, Andrews-Hanna J, Preibisch C, Riedl V · · 2026 · cited 28 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Functional magnetic resonance imaging measures brain activity indirectly by monitoring changes in blood oxygenation levels, known as the blood-oxygenation-level-dependent (BOLD) signal, rather than directly measuring neuronal activity.
Closing excerpt
Our findings challenge the canonical interpretation of the BOLD signal, indicating that quantitative functional magnetic resonance imaging provides a more reliable assessment of both absolute and relative changes in neuronal activity.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (151 words)

Functional magnetic resonance imaging measures brain activity indirectly by monitoring changes in blood oxygenation levels, known as the blood-oxygenation-level-dependent (BOLD) signal, rather than directly measuring neuronal activity. This approach crucially relies on neurovascular coupling, the mechanism that links neuronal activity to changes in cerebral blood flow. However, it remains unclear whether this relationship is consistent for both positive and negative BOLD responses across the human cortex. Here we found that about 40% of voxels with significant BOLD signal changes during various tasks showed reversed oxygen metabolism, particularly in the default mode network. These 'discordant' voxels differed in baseline oxygen extraction fraction and regulated oxygen demand via oxygen extraction fraction changes, whereas 'concordant' voxels depended mainly on cerebral blood flow changes. Our findings challenge the canonical interpretation of the BOLD signal, indicating that quantitative functional magnetic resonance imaging provides a more reliable assessment of both absolute and relative changes in neuronal activity.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41402521 · DOI · PMC13156032

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article The Neurovascular Unit Coming of Age: A Journey through Neurovascular Coupling in Health and Disease [5]
    Iadecola C · Neuron · 2017 · cited 2,131 times (Europe PMC)
  • Research article Cerebral blood flow regulation and neurovascular dysfunction in Alzheimer disease [6]
    Kisler K, Nelson AR, Montagne A, Zlokovic BV · Nat Rev Neurosci · 2017 · cited 1,077 times (Europe PMC)
  • Research article Revisiting the neurovascular unit [7]
    Schaeffer S, Iadecola C · Nat Neurosci · 2021 · cited 548 times (Europe PMC)
  • Research article Neurovascular dysfunction and neurodegeneration in dementia and Alzheimer's disease [8]
    Nelson AR, Sweeney MD, Sagare AP, Zlokovic BV · Biochim Biophys Acta · 2016 · cited 450 times (Europe PMC)
  • Research article Functional vascular contributions to cognitive impairment and dementia: mechanisms and consequences of cerebral autoregulatory dysfunction, endothelial impairment, and neurovascular uncoupling in aging [9]
    Toth P, Tarantini S, Csiszar A, Ungvari Z · Am J Physiol Heart Circ Physiol · 2017 · cited 412 times (Europe PMC)
  • Research article Neurovascular and Cognitive Dysfunction in Hypertension [10]
    Iadecola C, Gottesman RF · Circ Res · 2019 · cited 405 times (Europe PMC)

References

  1. Liu LR, Liu JC, Bao JS, Bai QQ, Wang GQ. Interaction of Microglia and Astrocytes in the Neurovascular Unit. . 2020. PMID 32733433 · DOI · PMC7362712
  2. Császár E, Lénárt N, Cserép C, Környei Z, Fekete R, Pósfai B, et al.. Microglia modulate blood flow, neurovascular coupling, and hypoperfusion via purinergic actions. . 2022. PMID 35201268 · DOI · PMC8932534
  3. Husain SF, Yu R, Tang TB, Tam WW, Tran B, Quek TT, et al.. Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder. . 2020. PMID 32546704 · DOI · PMC7298029
  4. Epp SM, Castrillón G, Yuan B, Andrews-Hanna J, Preibisch C, Riedl V. BOLD signal changes can oppose oxygen metabolism across the human cortex. . 2026. PMID 41402521 · DOI · PMC13156032
  5. Iadecola C. The Neurovascular Unit Coming of Age: A Journey through Neurovascular Coupling in Health and Disease. Neuron. 2017. PMID 28957666 · DOI · PMC5657612
  6. Kisler K, Nelson AR, Montagne A, Zlokovic BV. Cerebral blood flow regulation and neurovascular dysfunction in Alzheimer disease. Nat Rev Neurosci. 2017. PMID 28515434 · DOI · PMC5759779
  7. Schaeffer S, Iadecola C. Revisiting the neurovascular unit. Nat Neurosci. 2021. PMID 34354283 · DOI · PMC9462551
  8. Nelson AR, Sweeney MD, Sagare AP, Zlokovic BV. Neurovascular dysfunction and neurodegeneration in dementia and Alzheimer's disease. Biochim Biophys Acta. 2016. PMID 26705676 · DOI · PMC4821735
  9. Toth P, Tarantini S, Csiszar A, Ungvari Z. Functional vascular contributions to cognitive impairment and dementia: mechanisms and consequences of cerebral autoregulatory dysfunction, endothelial impairment, and neurovascular uncoupling in aging. Am J Physiol Heart Circ Physiol. 2017. PMID 27793855 · DOI · PMC5283909
  10. Iadecola C, Gottesman RF. Neurovascular and Cognitive Dysfunction in Hypertension. Circ Res. 2019. PMID 30920929 · DOI · PMC6527115

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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At a glance

1,046
PubMed records on this heading
63%
published since 2020
226
review articles
9
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Collateral CirculationCardiovascular Medicine
  • Renal Plasma FlowCardiovascular Medicine
  • Return of Spontaneous CirculationCardiovascular Medicine
  • HemodynamicsCardiovascular Medicine
  • Excitation Contraction CouplingMolecular Biology

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