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Characterization of pulsations in the brain and cerebrospinal fluid using ultra-high field magnetic resonance imaging.

Authors :
Martins T
de Almeida B
Wu M
Wilckens KA
Minhas D
Ibinson JW
Aizenstein HJ
Santini T
Ibrahim TS
Source :
Frontiers in neuroscience [Front Neurosci] 2024 May 09; Vol. 18, pp. 1305939. Date of Electronic Publication: 2024 May 09 (Print Publication: 2024).
Publication Year :
2024

Abstract

The development of innovative non-invasive neuroimaging methods and biomarkers is critical for studying brain disease. Imaging of cerebrospinal fluid (CSF) pulsatility may inform the brain fluid dynamics involved in clearance of cerebral metabolic waste. In this work, we developed a methodology to characterize the frequency and spatial localization of whole brain CSF pulsations in humans. Using 7 Tesla (T) human magnetic resonance imaging (MRI) and ultrafast echo-planar imaging (EPI), in-vivo images were obtained to capture pulsations of the CSF signal. Physiological data were simultaneously collected and compared with the 7 T MR data. The primary components of signal pulsations were identified using spectral analysis, with the most evident frequency bands identified around 0.3, 1.2, and 2.4 Hz. These pulsations were mapped spatially and temporally onto the MR image domain and temporally onto the physiological measures of electrocardiogram and respiration. We identified peaks in CSF pulsations that were distinct from peaks in grey matter and white matter regions. This methodology may provide novel in vivo biomarkers of disrupted brain fluid dynamics.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2024 Martins, de Almeida, Wu, Wilckens, Minhas, Ibinson, Aizenstein, Santini and Ibrahim.)

Details

Language :
English
ISSN :
1662-4548
Volume :
18
Database :
MEDLINE
Journal :
Frontiers in neuroscience
Publication Type :
Academic Journal
Accession number :
38784099
Full Text :
https://doi.org/10.3389/fnins.2024.1305939