Agreement in cerebrovascular reactivity assessed with diffuse correlation spectroscopy across experimental paradigms improves with short separation regression.

cerebral blood flow cerebrovascular reactivity diffuse correlation spectroscopy

Journal

Neurophotonics
ISSN: 2329-423X
Titre abrégé: Neurophotonics
Pays: United States
ID NLM: 101632875

Informations de publication

Date de publication:
Apr 2023
Historique:
received: 27 09 2022
accepted: 07 03 2023
medline: 11 4 2023
entrez: 10 4 2023
pubmed: 11 4 2023
Statut: ppublish

Résumé

Cerebrovascular reactivity (CVR), i.e., the ability of cerebral vasculature to dilate or constrict in response to vasoactive stimuli, is a biomarker of vascular health. Exogenous administration of inhaled carbon dioxide, i.e., hypercapnia (HC), remains the "gold-standard" intervention to assess CVR. More tolerable paradigms that enable CVR quantification when HC is difficult/contraindicated have been proposed. However, because these paradigms feature mechanistic differences in action, an assessment of agreement of these more tolerable paradigms to HC is needed. We aim to determine the agreement of CVR assessed during HC, breath-hold (BH), and resting state (RS) paradigms. Healthy adults were subject to HC, BH, and RS paradigms. End tidal carbon dioxide (EtCO Strong agreement ( More tolerable experimental paradigms coupled with regression of systemic/extracerebral signal contributions may offer a viable alternative to HC for assessing CVR.

Identifiants

pubmed: 37034012
doi: 10.1117/1.NPh.10.2.025002
pii: 22092GRR
pmc: PMC10079775
doi:

Types de publication

Journal Article

Langues

eng

Pagination

025002

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL152322
Pays : United States

Informations de copyright

© 2023 The Authors.

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Auteurs

Kyle R Cowdrick (KR)

Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States.

Tara Urner (T)

Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States.

Eashani Sathialingam (E)

Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States.

Zhou Fang (Z)

Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States.

Ayesha Quadri (A)

Children's Healthcare of Atlanta and Emory University School of Medicine, Department of Pediatrics, Atlanta, Georgia, United States.
Morehouse School of Medicine, Atlanta, Georgia, United States.

Katherine Turrentine (K)

Children's Healthcare of Atlanta and Emory University School of Medicine, Department of Pediatrics, Atlanta, Georgia, United States.

Seung Yup Lee (S)

Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States.
Kennesaw State University, Department of Electrical and Computer Engineering, Marietta, Georgia, United States.

Erin M Buckley (EM)

Georgia Institute of Technology and Emory University, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States.
Children's Healthcare of Atlanta and Emory University School of Medicine, Department of Pediatrics, Atlanta, Georgia, United States.
Children's Healthcare of Atlanta, Children's Research Scholar, Atlanta, Georgia, United States.

Classifications MeSH