Real-Time Phase-Contrast MRI to Monitor Cervical Blood and Cerebrospinal Fluid Flow Beat-by-Beat Variability

Bibliographic Details
Title: Real-Time Phase-Contrast MRI to Monitor Cervical Blood and Cerebrospinal Fluid Flow Beat-by-Beat Variability
Authors: Giuseppe Baselli, Federica Fasani, Laura Pelizzari, Marta Cazzoli, Francesca Baglio, Maria Marcella Laganà
Source: Biosensors, Vol 12, Iss 6, p 417 (2022)
Publisher Information: MDPI AG, 2022.
Publication Year: 2022
Collection: LCC:Biotechnology
Subject Terms: arterovenous flow, cerebrospinal fluid flow, MRI, beat-by-beat variability, rehabilitation, neurodegeneration, Biotechnology, TP248.13-248.65
More Details: Beat-by-beat variability (BBV) rhythms are observed in both cardiovascular (CV) and intracranial (IC) compartments, yet interactions between the two are not fully understood. Real-Time Phase-Contrast (RT-PC) MRI sequence was acquired for 30 healthy volunteers at 1st cervical level on a 3T scanner. The arterial (AF), venous (VF), and cerebrospinal fluid (CSF) flow (CSFF) were computed as velocity integrals over the internal carotid artery, internal jugular vein, and CSF. AF, VF, and CSFF signals were segmented in inspiration and expiration beats, to assess the respiration influence. Systolic and diastolic BBV, and heart period series underwent autoregressive power spectral density analysis, to evaluate the low-frequency (LF, Mayer waves) and high frequency (HF, respiratory waves) components. The diastolic VF had the largest BBV. LF power was high in the diastolic AF series, poor in all CSFF series. The pulse wave analyses revealed higher mean amplitude during inspiration. Findings suggests a possible role of LF modulation of IC resistances and propagation of HF waves from VF to AF and CCSF. PC-RT-MRI could provide new insight into the interaction between CV and IC regulation and pave the way for a detailed analysis of the cerebrovascular effects of varied respiration patterns due to exercise and rehabilitation.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2079-6374
Relation: https://www.mdpi.com/2079-6374/12/6/417; https://doaj.org/toc/2079-6374
DOI: 10.3390/bios12060417
Access URL: https://doaj.org/article/b477bac0772a4b0eb6ae713ae6d319c3
Accession Number: edsdoj.b477bac0772a4b0eb6ae713ae6d319c3
Database: Directory of Open Access Journals
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More Details
ISSN:20796374
DOI:10.3390/bios12060417
Published in:Biosensors
Language:English