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Characterization of pulsations in the brain and cerebrospinal fluid using ultra-high field magnetic resonance imaging.
Martins, Tiago; de Almeida, Bruno; Wu, Minjie; Wilckens, Kristine A; Minhas, Davneet; Ibinson, James W; Aizenstein, Howard J; Santini, Tales; Ibrahim, Tamer S.
Afiliación
  • Martins T; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
  • de Almeida B; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
  • Wu M; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States.
  • Wilckens KA; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States.
  • Minhas D; Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States.
  • Ibinson JW; Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
  • Aizenstein HJ; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States.
  • Santini T; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
  • Ibrahim TS; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
Front Neurosci ; 18: 1305939, 2024.
Article en En | MEDLINE | ID: mdl-38784099
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurosci Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neurosci Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza