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Identification of a T2-hyperintense Perivascular Space in Brain Arteriovenous Malformations.

In Vivo

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.

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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.

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Introduction: Cerebral cavernous malformation (CCM) is a type of cerebrovascular abnormality in the central nervous system linked to both germline and somatic genetic mutations. Recent preclinical and clinical studies have shown that various drugs can effectively reduce the burden of CCM lesions. Despite significant progress, the mechanisms driving CCM remain incompletely understood, and to date, no drugs have been developed that can cure or prevent CCM.

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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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We describe a set of monozygotic twins with GRIN2B-related neurodevelopmental disorder (GRIN2B-ND) who exhibited distinct clinical and imaging characteristics due to a de novo heterozygous pathogenic variant in the GRIN2B gene (c.2453T>C, p.Met818Thr).

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