Unlabelled: Traumatic (crush) asphyxia is a rare condition caused by severe compression of the chest and trunk leading to often extreme so-called asphyxial signs, including cyanosis in head and neck regions, multiple petechiae, and subconjunctival haemorrhage as well as neurological manifestations.
Aims: To investigate the neuropathology and brain weight in traumatic asphyxia caused by different accidents such as industrial accidents and road traffic collision.
Material And Methods: Post mortem records of 20 cases of traumatic asphyxia (TA) resulting from different causes of which four brains are available for comprehensive neuropathological examination. The expected brain weights for given body height and associated 95% confidence range were calculated according to the following formula: baseline brain weight (BBW) + body height x rate (g/cm). The 95% confidence range was calculated by adding and subtracting the standard error (SE) x 1.96 (7-8).
Results: There was a trend for higher brain weight in the TA cohort but it was not significant (1494 g vs 1404 g, p = 0.1). The upper limits of the brain weight of 95% confidence was 1680 g vs 1660 g, p = 0.9. The neuropathological examination of four available brains from the TA cohort showed severe congestion of blood vessels, perivascular haemorrhages and occasional βAPP deposits consistent with early axonal disruption.
Conclusion: Brain examination is informative as part of investigation of TA. Developing ischaemic changes and an increase in brain weight are the most likely indicators of a prolonged period of patient's survival.
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http://dx.doi.org/10.1016/j.jflm.2017.08.009 | DOI Listing |
Sci Rep
December 2024
Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-ro 875, Haeundae-gu, Busan, 48108, Republic of Korea.
This study aimed to investigate alterations in a multilayer network combining structural and functional layers in patients with end-stage kidney disease (ESKD) compared with healthy controls. In all, 38 ESKD patients and 43 healthy participants were prospectively enrolled. They exhibited normal brain magnetic resonance imaging (MRI) without any structural lesions.
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December 2024
Institute of Informatics, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland.
Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitudinal MRIs.
View Article and Find Full Text PDFNat Commun
December 2024
Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Growth differentiation factor 15, GDF15, and glucagon-like peptide-1 (GLP-1) analogues act through brainstem neurons that co-localise their receptors, GDNF-family receptor α-like (GFRAL) and GLP1R, to reduce food intake and body weight. However, their use as clinical treatments is partially hampered since both can also induce sickness-like behaviours, including aversion, that are mediated through a well-characterised pathway via the exterolateral parabrachial nucleus. Here, in mice, we describe a separate pathway downstream of GFRAL/GLP1R neurons that involves a distinct population of brain-derived neurotrophic factor (BDNF) cells in the medial nucleus of the tractus solitarius.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA.
Introduction: Diffusion-weighted magnetic resonance imaging (dMRI) is sensitive to the microstructural properties of brain tissues and shows great promise in detecting the effects of degenerative diseases. However, many approaches analyze single measures averaged over regions of interest without considering the underlying fiber geometry.
Methods: We propose a novel macrostructure-informed normative tractometry (MINT) framework to investigate how white matter (WM) microstructure and macrostructure are jointly altered in mild cognitive impairment (MCI) and dementia.
Autism Res
December 2024
Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China.
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder and its underlying neuroanatomical mechanisms still remain unclear. The scaled subprofile model of principal component analysis (SSM-PCA) is a data-driven multivariate technique for capturing stable disease-related spatial covariance pattern. Here, SSM-PCA is innovatively applied to obtain robust ASD-related gray matter volume pattern associated with clinical symptoms.
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