The feasibility of brain MRI with laser-polarized 129Xe in a small animal model is demonstrated. Naturally abundant 129Xe is polarized and introduced into the lungs of Sprague-Dawley rats. Polarized xenon gas dissolves in the blood and is transported to the brain where it accumulates in brain tissue. Spectroscopic studies reveal a single, dominant, tissue-phase NMR resonance in the head at 194.5 ppm relative to the gas phase resonance. Images of 129Xe in the rat head were obtained with 98-microliter voxels by 2D chemical shift imaging and show that xenon is localized to the brain. This work establishes that nuclear polarization produced in the gas phases survives transport to the brain where it may be imaged. Increases in polarization and delivered volume of 129Xe will allow clinical measurements of regional cerebral blood flow.
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http://dx.doi.org/10.1002/mrm.1910380503 | DOI Listing |
BMJ Open
December 2024
Unité de recherche Clinique, Hôpital Bichat-Claude-Bernard, Paris, Île-de-France, France.
Introduction: Traumatic brain injury (TBI) is one of the leading causes of death and disability worldwide. Treatments for TBI patients are limited and none has been shown to provide prolonged and long-term neuroprotective or neurorestorative effects. A growing body of evidence suggests a link between TBI-induced neuro-inflammation and neurodegenerative post-traumatic disorders.
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December 2024
Group Brain Vasculature and Perivascular Niche, Division of Experimental and Translational Neuroscience, Krembil Brain Institute, Krembil Research Institute, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada;
Background/aim: Brain arteriovenous malformations (AVMs) are vascular malformations characterized by dysmorphic, aberrant vasculature. During previous surgeries of compact nidus brain AVMs (representing the majority of cases), we have observed a "shiny" plane between nidal and perinidal AVM vessels and the surrounding grey and white matter and hypothesized that preoperative neuroimaging of brain AVMs may show a neuroradiological correlate of these intraoperative observations.
Patients And Methods: We retrospectively reviewed and analyzed multiplanar and multisequence 3-Tesla magnetic resonance (3T MR) imaging in five consecutive brain AVMs with special attention on imaging characteristics of the brain-AVM interface, i.
In Vivo
December 2024
Department of Neuroradiology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Background/aim: Congenital diaphragmatic hernia (CDH) is a critical condition affecting newborns, which often results in long-term morbidities, including neurodevelopmental delays, which affect cognitive, motor, and behavioral functions. These delays are believed to stem from prenatal and postnatal factors, such as impaired lung development and chronic hypoxia, which disrupt normal brain growth. Understanding the underlying mechanisms of these neurodevelopmental impairments is crucial for improving prognosis and patient outcomes, particularly as advances in treatments like ECMO have increased survival rates but also pose additional risks for neurodevelopment.
View Article and Find Full Text PDFAnticancer Res
January 2025
Department of Medical Sciences, Clinical Chemistry, University of Uppsala, Uppsala, Sweden
Background/aim: Glioblastoma multiforme (GBM) is the most common and aggressive form of primary malignant tumors in the central nervous system of adults. In practice, all patients with GBM experience relapse, and treatment options become limited following first-line therapy. We previously reported a new, successful treatment approach for a GBM patient, implemented in direct conjunction with surgical intervention.
View Article and Find Full Text PDFBrain Behav
January 2025
Computational and Artificial Intelligence Department, Institute of Cognitive Science Studies, Tehran, Iran.
Purpose: The neurobiological heterogeneity present in schizophrenia remains poorly understood. This likely contributes to the limited success of existing treatments and the observed variability in treatment responses. Our objective was to employ magnetic resonance imaging (MRI) and machine learning (ML) algorithms to improve the classification of schizophrenia and its subtypes.
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