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Continuous measurement of cerebral blood flow velocity (CBFV) of the middle cerebral artery (MCA) using transcranial Doppler (TCD) and arterial blood pressure (ABP) monitoring enables assessment of cerebrovascular haemodynamics. Further indices describing cerebrovascular function can be calculated from ABP and CBFV, such as the mean index (Mxa) of cerebrovascular autoregulation, the 'time constant of the cerebral arterial bed' (tau), the 'critical closing pressure' (CrCP) and a 'non-invasive estimator of ICP' (nICP). However, TCD is operator-dependent and changes in angle and depth of MCA insonation result in different readings of CBFV. The effect of differing CBFV readings on the calculated secondary indices remains unknown. The aim of this study was to investigate variation in angle and depth of MCA insonation on these secondary indices. In eight patients continuous ABP and ipsilateral CBFV monitoring was performed using two different TCD probes, resulting in four simultaneous CBFV readings at different angles and depths per patient. From all individual recordings, the K-means clustering algorithm was applied to the four simultaneous longitudinal measurements. The average ratios of the between-clusters, sum-of-squares and total sum-of-squares were significantly higher for CBFV than for the indices Mxa, tau and CrCP (p < 0.001, p = 0.007 and p = 0.016) but not for nICP (p = 0.175). The results indicate that Mxa, tau and CrCP seemed to be not affected by depth and angle of TCD insonation, whereas nICP was.
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http://dx.doi.org/10.1016/j.jocn.2020.10.037 | DOI Listing |
Stat Med
September 2025
Univ. Bordeaux, INSERM, Bordeaux Population Health, U1219, France.
Given the high incidence of cardio and cerebrovascular diseases (CVD), and their association with morbidity and mortality, their prevention is a major public health issue. A high level of blood pressure is a well-known risk factor for these events, and an increasing number of studies suggest that blood pressure variability may also be an independent risk factor. However, these studies suffer from significant methodological weaknesses.
View Article and Find Full Text PDFCureus
August 2025
Service of Neurology, Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rio de Janeiro, BRA.
Transcranial sonography (TCS) is widely acknowledged as a frontline imaging tool in movement disorder practice, particularly for separating idiopathic Parkinson's disease from its many mimics. In recent years, however, investigators have extended its reach, showing that the same portable probe can also capture structural and hemodynamic signatures of neuropsychiatric disorders and the major dementia syndromes. Across neuropsychiatry, a dim ("hypoechoic") median raphe emerges as the sonographic hallmark of serotonergic imbalance: it recurs in major depressive disorder, bipolar depression, and panic disorder, predicts better response to selective serotonin reuptake inhibitors, and even foreshadows post-stroke depression.
View Article and Find Full Text PDFJ Neurotrauma
September 2025
The Max Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, Michigan, USA.
Cerebrovascular autoregulation (CA) is a protective mechanism against brain injury. We present an ultrasound-based volumetric blood flow indices to monitor CA. Swine were instrumented under general anesthesia to monitor mean arterial blood pressure (MAP), intracranial pressure (ICP), and blood flow in the internal carotid artery (ICA) and femoral artery (FA) and flow velocity and volumetric flow in the middle cerebral artery (MCA) using transcranial Doppler.
View Article and Find Full Text PDFJ Neuroimaging
September 2025
Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background And Purpose: This study aims to characterize hemodynamic alterations in gliomas by analyzing global signal metrics and amplitude of low-frequency fluctuations (ALFF).
Methods: We analyzed resting-state functional MRI data from an open dataset. A total of 29 glioma patients (17 men; mean age: 44.
Sci Rep
September 2025
Department of Mechanical Engineering, College of Engineering, University of Ha'il, Ha'il City, 81451, Saudi Arabia.
Accurate assessment of intracranial aneurysm rupture risk, particularly in Middle Cerebral Artery (MCA) aneurysms, relies on a detailed understanding of patient-specific hemodynamic behavior. In this study, we present an integrated framework that combines Computational Fluid Dynamics (CFD) with Proper Orthogonal Decomposition (POD) and machine learning (ML) to efficiently model pulsatile blood flow using a Casson non-Newtonian fluid model, without incorporating fluid-structure interaction (FSI). Patient-specific vascular geometries were reconstructed from DICOM imaging data and simulated using ANSYS Fluent to capture key hemodynamic factors, including velocity components, pressure, wall shear stress (WSS), and oscillatory shear index (OSI).
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