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| http://dx.doi.org/10.3389/fped.2023.1328870 | DOI Listing |
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Management of Wernicke's encephalopathy in a pregnant woman at 27 weeks gestation complicated by pre-eclampsia: A case report.
Radiol Case Rep
March 2025
Department of Obstetrics and Gynecology, Mohammed VI University Hospital Center, Faculty of Medecine and Pharmacy, Oujda, Morocco.
Wernicke's Encephalopathy (WE) is a rare but severe condition primarily caused by thiamine deficiency, often seen in pregnant women who experience severe vomiting, such as in hyperemesis gravidarum. This case report details a 38-year-old woman at 27 weeks of gestation who developed altered consciousness, cerebellar ataxia, and hyperlactatemia following persistent vomiting. Brain MRI demonstrated characteristic bilateral abnormalities consistent with WE.
View Article and Find Full Text PDFAbnormal neurovascular coupling exists in patients with peritoneal dialysis and hemodialysis: evidence from a multi-mode MRI study.
Clin Kidney J
January 2025
Department of Nephrology, Beijing Friendship Hospital, Capital Medical University, Xicheng District, Beijing, China.
Background: Neurovascular coupling (NVC), as indicated by a comprehensive analysis of the amplitude of low-frequency fluctuation (ALFF) and cerebral blood flow (CBF), provides mechanistic insights into neurological disorders. Patients undergoing peritoneal dialysis (PD) and hemodialysis (HD) often face cognitive impairment, the causes of which are not fully understood.
Methods: ALFF was derived from functional magnetic resonance imaging, and CBF was quantified using arterial spin labeling in a cohort comprising 58 patients with PD, 60 patients with HD and 62 healthy controls.
Synthetic data in generalizable, learning-based neuroimaging.
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Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Synthetic data have emerged as an attractive option for developing machine-learning methods in human neuroimaging, particularly in magnetic resonance imaging (MRI)-a modality where image contrast depends enormously on acquisition hardware and parameters. This retrospective paper reviews a family of recently proposed methods, based on synthetic data, for generalizable machine learning in brain MRI analysis. Central to this framework is the concept of domain randomization, which involves training neural networks on a vastly diverse array of synthetically generated images with random contrast properties.
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BMC Med
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Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, 264 Guangzhou Street, Nanjing, China.
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Evaluation of contralateral arterial flow compensation using transcranial Doppler in acute internal carotid artery occlusion and implications for neurological outcome.
Sci Rep
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Department of Neurology, Inner Mongolia Autonomous Region People's Hospital, Hohhot, China.
Acute internal carotid artery occlusion (AICAO) can result in malignant cerebral edema and unfavorable patient outcomes. This study evaluated the utility of transcranial Doppler (TCD) in assessing contralateral flow compensation and predicting outcomes in patients with AICAO. We enrolled 51 patients within 6 h of symptom onset and conducted TCD examinations to evaluate collateral circulation.
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