Evidence map›Paper›PMID 41984895›Full record

ArticlePLOS digital health2026

Detection of regional disparity in cerebrovascular reactivity using a custom whole brain functional near-infrared spectroscopy based mapping system: A prospective observational study.

Amanjyot Singh Sainbhi, Nuray Vakitbilir, Tobias Bergmann, Kevin Y Stein, Rakibul Hasan, Noah Silvaggio, Isuru Herath, Mansoor Hayat, Jaewoong Moon, Frederick A Zeiler

Abstract read
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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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

10 authors.

Amanjyot Singh SainbhiDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.ORCID https://orcid.org/0000-0003-3231-5683
Nuray VakitbilirDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.
Tobias BergmannDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.ORCID https://orcid.org/0009-0001-1082-6485
Kevin Y SteinDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.
Rakibul HasanDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.ORCID https://orcid.org/0000-0003-2236-0245
Noah SilvaggioDepartment of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
Isuru HerathDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.
Mansoor HayatSection of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
Jaewoong MoonSection of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
Frederick A ZeilerDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, Manitoba, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is limited literature on the ability of high-frequency cerebral functional near-infrared spectroscopy (fNIRS) systems to characterize cerebral autoregulation/cerebrovascular reactivity (CA/CVR) regional disparity than other low-frequency commercial systems. To overcome temporal and spatial limitations of existing commercial NIRS systems, we created a custom-built whole brain CVR mapping system using fNIRS. We preliminarily evaluated regional hemispheric disparity in CA/CVR using various fNIRS derived metrics based on relative hemoglobin concentrations. Healthy volunteer data was recorded for approximately 90 minutes in a block-trial fashion with baseline and perturbation testing. Five types of hemoglobin-based indices were derived using 1 Hz and 250 Hz sampled data. Regional hemispheric disparity between brain lobar regions was evaluated based on median and median absolute deviation metrics. Multi-variate cerebral physiologic relationships between hemispheres were assessed via optimal autoregressive integrative moving average (ARIMA), vector ARIMA impulse response functions, and Granger causality analyses. Data from 50 healthy control volunteers were prospectively analyzed. Our system was able to detect subtle differences between corresponding right and left brain regions through all statistical methods employed, demonstrating the ability of our novel system to detect changes in regional variation of fNIRS and derived CVR measures. These were present and magnified during perturbation testing compared to baseline recordings. However, given the healthy nature of the study population, large differences in CVR measures between brain regions and extreme CVR derangements were not seen. Our custom built fNIRS whole brain CVR mapping system was able to detect subtle regional differences in CVR measures across various time-domain analytic techniques. These findings are in alignment with prior literature, supporting the notion that research-grade fNIRS systems may be adequate for regional disparity analysis of CVR in humans. Future work in diseased/injured human cohorts is required to further quantify the sensitivity of our custom-built system to detect regional variations and disturbances in CVR.

Identifiers

PMID41984895
PMCPMC13082728

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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.