Evidence map›Paper›PMID 41502489›Full record

ArticleNeurophotonics2026

Diurnal differences in cerebral microvascular blood flow and oxygen delivery across brain regions in awake mice.

Baoqiang Li, Hewei Cao, Qi Pian, Yimeng Wu, Jason E Porter, Buyin Fu, Srinivasa Rao Allu, Sergei A Vinogradov, Cenk Ayata, Ken Arai and 4 more

Abstract read
In one paragraph

Article in Neurophotonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Baoqiang LiChinese Academy of Sciences, Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Shenzhen, China.
Hewei CaoChinese Academy of Sciences, Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Shenzhen, China.
Qi PianMassachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, United States.ORCID https://orcid.org/0000-0003-4760-8446
Yimeng WuChinese Academy of Sciences, Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Shenzhen, China.
Jason E PorterMassachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, United States.
Buyin FuMassachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, United States.
Srinivasa Rao AlluUniversity of Pennsylvania, Perelman School of Medicine, Department of Biochemistry and Biophysics, Philadelphia, Pennsylvania, United States.ORCID https://orcid.org/0000-0002-6530-2582
Sergei A VinogradovUniversity of Pennsylvania, Perelman School of Medicine, Department of Biochemistry and Biophysics, Philadelphia, Pennsylvania, United States.ORCID https://orcid.org/0000-0002-4649-5534
Cenk AyataMassachusetts General Hospital, Harvard Medical School, Departments of Radiology and Neurology, Charlestown, Massachusetts, United States.
Ken AraiMassachusetts General Hospital, Harvard Medical School, Departments of Radiology and Neurology, Charlestown, Massachusetts, United States.
Emiri T MandevilleMassachusetts General Hospital, Harvard Medical School, Departments of Radiology and Neurology, Charlestown, Massachusetts, United States.
Elga EspositoMassachusetts General Hospital, Harvard Medical School, Departments of Radiology and Neurology, Charlestown, Massachusetts, United States.ORCID https://orcid.org/0000-0002-8287-2747
Eng H LoMassachusetts General Hospital, Harvard Medical School, Departments of Radiology and Neurology, Charlestown, Massachusetts, United States.
Sava SakadžićMassachusetts General Hospital, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, United States.

Funding

Project 4U19NS123717 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LINNINGER, ANDREAS A · 2021 to 2025
$13.4M
Investigating the Microvascular Mechanisms of O2 Supply-Demand Mismatch in Small Vessel Disease using Novel High-Resolution Optical ImagingR01NS115401 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI AYATA, CENK, SAKADZIC, SAVA · 2020 to 2024
$3.5M
The effect of circadian rhythm disruptions on the angiogenic response to hypoperfusion in the AD brainR01AG081841 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Ken Arai, Eng H. Lo · 2023 to 2026
$3.0M
Two-photon Imaging of Oxygen and Blood Flow in Retinal and Cerebral VasculatureRF1NS121095 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SAKADZIC, SAVA, SHAHIDI, MAHNAZ · 2021 to 2021
$1.9M
Oxygen imaging by phosphorescence quenchingU24EB028941 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI VINOGRADOV, SERGEI · 2019 to 2023
$1.6M
Two-photon Imaging of Oxygen and Blood Flow in Retinal and Cerebral VasculatureR01NS121095 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Sava Sakadzic, Mahnaz Shahidi · 2024 to 2026
$1.3M
NIA NIH HHS R01 AG081841NIBIB NIH HHS U24 EB028941NINDS NIH HHS R01 NS115401NINDS NIH HHS R01 NS121095NINDS NIH HHS RF1 NS121095NINDS NIH HHS U19 NS123717
6 · The paper itself

Abstract

Significance: Elucidating the diurnal differences in cerebral hemodynamics is essential for both advancing our understanding of brain function and improving therapeutic strategies for neurological disorders. However, it remains unclear how the inactive and active diurnal phases influence the microvascular-scale distributions of cerebral blood flow and oxygenation and whether these distributions exhibit brain-region-specific variations. Aim: We aim to characterize the time-of-day variations in cerebral microvascular blood flow and oxygenation across brain regions in awake mice. Approach: We used two-photon microscopy and Doppler optical coherence tomography to quantify the resting-state microvascular blood flow and oxygenation parameters in the cerebral middle-cerebral-artery (MCA) territory and adjacent watershed area in the head-restrained, awake mice, during the inactive and active phases. Results: Microvascular blood flow was consistently higher during the inactive phase compared with the active phase. Specifically, this elevated flow reached statistical significance in the watershed area. Furthermore, oxygen extraction fraction increased in the MCA territory during the active phase but decreased in the watershed area. Conclusions: We reveal diurnal differences in cerebral microvascular blood flow and oxygenation, with the watershed area exhibiting a greater response to this effect. These findings underscore the potential of chronotherapeutic strategies to enhance treatment efficacy for cerebrovascular disorders.

Indexed as

cerebral microvascular blood flowdiurnal variationoptical coherent tomographypartial pressure of oxygentwo-photon microscopywatershed

Identifiers

PMID41502489
PMCPMC12772521

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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.