Evidence map›Paper›PMID 37396759›Full record

ArticleFrontiers in neurology2023

Examining temporal features of BOLD-based cerebrovascular reactivity in clinical populations.

Kayley-Jasmin Marchena-Romero, Xiang Ji, Rosa Sommer, Andrew Centen, Joel Ramirez, Joshua M Poulin, David Mikulis, Michael Thrippleton, Joanna Wardlaw, Andrew Lim and 2 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

12 authors.

Kayley-Jasmin Marchena-RomeroDepartment of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
Xiang JiHurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada.
Rosa SommerHurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada.
Andrew CentenHurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada.
Joel RamirezHurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada.
Joshua M PoulinHurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada.
David MikulisInstitute of Medical Sciences, University of Toronto, Toronto, ON, Canada.
Michael ThrippletonBrain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre, The University of Edinburgh, Edinburgh, United Kingdom.
Joanna WardlawBrain Research Imaging Centre, Centre for Clinical Brain Sciences, UK Dementia Research Institute Centre, The University of Edinburgh, Edinburgh, United Kingdom.
Andrew LimHurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada.
Sandra E BlackHurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada.
Bradley J MacIntoshDepartment of Medical Biophysics, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Conventional cerebrovascular reactivity (CVR) estimation has demonstrated that many brain diseases and/or conditions are associated with altered CVR. Despite the clinical potential of CVR, characterization of temporal features of a CVR challenge remains uncommon. This work is motivated by the need to develop CVR parameters that characterize individual temporal features of a CVR challenge. Methods: Data were collected from 54 adults and recruited based on these criteria: (1) Alzheimer's disease diagnosis or subcortical Vascular Cognitive Impairment, (2) sleep apnea, and (3) subjective cognitive impairment concerns. We investigated signal changes in blood oxygenation level dependent (BOLD) contrast images with respect to hypercapnic and normocapnic CVR transition periods during a gas manipulation paradigm. We developed a model-free, non-parametric CVR metric after considering a range of responses through simulations to characterize BOLD signal changes that occur when transitioning from normocapnia to hypercapnia. The non-parametric CVR measure was used to examine regional differences across the insula, hippocampus, thalamus, and centrum semiovale. We also examined the BOLD signal transition from hypercapnia back to normocapnia. Results: We found a linear association between isolated temporal features of successive CO Conclusion: This study demonstrates that it is feasible to examine individual responses associated with normocapnic and hypercapnic transition periods of a BOLD-based CVR experiment. Studying these features can provide insight on between-subject differences in CVR.

Indexed as

blood oxygenation level dependent functional magnetic resonance imagingcerebrovascular reactivityinter-regional heterogeneitynon-parametricsleep apneasmall vessel disease

Identifiers

PMID37396759
PMCPMC10310960

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.