16,504 results match your criteria: "Medical Informatics in Neurology"

Hypothalamic volume is associated with age, sex and cognitive function across lifespan: a comparative analysis of two large population-based cohort studies.

EBioMedicine

December 2024

Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Neurology, Faculty of Medicine, University of Bonn, Germany. Electronic address:

Background: Emerging findings indicate that the hypothalamus, the body's principal homeostatic centre, plays a crucial role in modulating cognition, but comprehensive population-based studies are lacking.

Methods: We used cross-sectional data from the Rhineland Study (N = 5812, 55.2 ± 13.

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Objective: SCN2A encodes the voltage-gated sodium (Na+) channel α subunit Na1.2, which is important for the generation and forward and back propagation of action potentials in neurons. Genetic variants in SCN2A are associated with a spectrum of neurodevelopmental disorders.

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Objective: Randomized controlled trials (RCTs) are necessary to evaluate the efficacy of novel treatments for epilepsy. However, there have been concerning increases in the placebo responder rate over time. To understand these trends, we evaluated features associated with increased placebo responder rate.

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Encouraging arm use in stroke survivors: the impact of smart reminders during a home-based intervention.

J Neuroeng Rehabil

December 2024

Rehabilitation Engineering Laboratory, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.

Background: Upper limb impairment post-stroke often leads to a predominant use of the less affected arm and consequent learned disuse of the affected side, hindering upper limb outcome. Wearable sensors such as accelerometers, combined with smart reminders (i.e.

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Genetic variants in DDX53 contribute to autism spectrum disorder associated with the Xp22.11 locus.

Am J Hum Genet

November 2024

The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON M5G 0A4, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada; McLaughlin Centre, Toronto, ON M5G 0A4, Canada. Electronic address:

Autism spectrum disorder (ASD) exhibits an ∼4:1 male-to-female sex bias and is characterized by early-onset impairment of social/communication skills, restricted interests, and stereotyped behaviors. Disruption of the Xp22.11 locus has been associated with ASD in males.

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To improve reliability of metabolite quantification at both, 3 T and 7 T, we propose a novel parametrized macromolecules quantification model (PRaMM) for brain H MRS, in which the ratios of macromolecule peak intensities are used as soft constraints. Full- and metabolite-nulled spectra were acquired in three different brain regions with different ratios of grey and white matter from six healthy volunteers, at both 3 T and 7 T. Metabolite-nulled spectra were used to identify highly correlated macromolecular signal contributions and estimate the ratios of their intensities.

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Background: Dementia rates are rising globally, impacting healthcare systems and society. The care of people with dementia is largely provided by informal caregivers (e.g.

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The real-world treatment patterns at medical facilities and their physicians' specialties treating migraine have not been fully investigated in Japan. Therefore, a retrospective cohort study aimed to describe real-world clinical practice and treatment patterns in Japanese patients with migraine according to medical facilities and physicians' specialties. Anonymized claims data of patients with migraine was obtained from JMDC Inc (January 2018-June 2023).

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Background: This study aimed to evaluate real-world data on the differences in outcomes between antiplatelet (AP) and anticoagulation (AC) therapies for intracranial arterial dissection (IAD).

Methods: This study included patients with symptomatic unruptured IAD between 2010 and 2021 that were treated with anti-thrombotics. Patients were dichotomized to AC and AP based on a treatment policy analysis.

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Subject-Level Segmentation Precision Weights for Volumetric Studies Involving Label Fusion.

Hum Brain Mapp

December 2024

Penn Statistics in Imaging and Visualization Endeavor (PennSIVE), Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

In neuroimaging research, volumetric data contribute valuable information for understanding brain changes during both healthy aging and pathological processes. Extracting these measures from images requires segmenting the regions of interest (ROIs), and many popular methods accomplish this by fusing labels from multiple expert-segmented images called atlases. However, post-segmentation, current practices typically treat each subject's measurement equally without incorporating any information about variation in their segmentation precision.

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Objective: To construct a non-invasive pre-hospital screening model and early based on artificial intelligence algorithms to provide the severity of stroke in patients, provide screening, guidance and early warning for stroke patients and their families, and provide data support for clinical decision-making.

Methods: A retrospective study was conducted. The clinical information of stroke patients (n = 53 793) were extracted from the Yidu cloud big data server system of the Second Affiliated Hospital of Dalian Medical University from January 1, 2001 to July 31, 2023.

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Background: While breast cancer incidence rates in Sub-Saharan Africa (SSA) are among the lowest worldwide, mortality rates remain among the highest, reflecting particularly poor survival. Only a few studies in SSA have investigated the capabilities of treatment services to adequately provide a continuum of care for breast cancer. Our aim was to assess the availability of diagnostic facilities and adjuvant therapies in hospitals performing breast cancer surgery in SSA.

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Optical coherence tomography in secondary progressive multiple sclerosis: cross-sectional and longitudinal exploratory analysis from the MS-SMART randomised controlled trial.

J Neurol Neurosurg Psychiatry

December 2024

Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.

Background: Optical coherence tomography (OCT) inner retinal metrics reflect neurodegeneration in multiple sclerosis (MS). We explored OCT measures as biomarkers of disease severity in secondary progressive MS (SPMS).

Methods: We investigated people with SPMS from the Multiple Sclerosis-Secondary Progressive Multi-Arm Randomisation Trial OCT substudy, analysing brain MRIs, clinical assessments and OCT at baseline and 96 weeks.

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Objective: We assessed if age was an effect modifier in a pooled analysis of two randomized trials comparing CAS and CEA in asymptomatic patients, CREST and ACT I.

Methods: We analyzed data from 2544 patients aged <80 with ≥70% asymptomatic carotid stenosis randomized to CAS or CEA (n=1091; n=1453) who were recruited between 2000 and 2013. Age was considered in four strata (<65, 65-69, 70-74 and 75-79).

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Background:  While cardiovascular and neurological diseases induced by obstructive sleep apnea syndrome (OSAS) hypoxia are well established, the association between neuro-otological diseases and OSAS is not entirely understood. Vestibular and audiological tests have been used to evaluate the degeneration of neurons in the brainstem caused by recurrent hypoxia.

Purpose:  Evaluation of the vestibular-evoked myogenic potential (VEMP) test findings applied to detect the possible influence on the vestibular reflex arc due to hypoxia in patients diagnosed with OSAS using Activity-Specific Balance Confidence (ABC) and Berg Balance Scale (BBS) scales determination of scores.

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Statins' effect on quality of life and functioning in older stroke patients: Systematic review and meta-analysis.

J Clin Neurosci

December 2024

Department of Neurology, Amsterdam UMC, Amsterdam, the Netherlands; Department of Neurology, OLVG hospital, Amsterdam, The Netherlands. Electronic address:

Background: Limited evidence exists on the efficacy and safety of statins in older ischemic stroke or transient ischemic attack patients, particularly in frail individuals. Studies often exclude frail patients, limiting insights on optimal treatments for the entire older population. This review aims to evaluate the effect of statins for secondary prevention on quality of life and functioning in older patients following an ischemic stroke or transient ischemic attack, as these outcomes are aligned with the treatment goals of this patient population.

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Aims/hypothesis: This is the first study to examine the association between variants of the glucagon-like-peptide-1 receptor gene (GLP-1R) and metabolic characteristics among youth. We explored separate associations of three GLP-1R polymorphisms (rs10305420, rs6923761, and rs1042044) with BMI trajectories and markers of glucose-insulin homeostasis.

Methods: Mixed models examined associations between GLP-1R polymorphisms and trajectories of BMI.

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The immune system is a key player in the onset and progression of neurodegenerative disorders. While brain resident immune cell-mediated neuroinflammation and peripheral immune cell (eg, T cell) infiltration into the brain have been shown to significantly contribute to Alzheimer's disease (AD) pathology, the nature and extent of immune responses in the brain in the context of AD and related dementias (ADRD) remain unclear. Furthermore, the roles of the peripheral immune system in driving ADRD pathology remain incompletely elucidated.

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A Machine Learning Model to Harmonize Volumetric Brain MRI Data for Quantitative Neuroradiological Assessment of Alzheimer Disease.

Radiol Artif Intell

December 2024

From the Laboratory of Neuroinformatics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Via Pilastroni 4, Brescia 25125, Italy (D.A., A.R.); Department of Neurology, Alzheimer Center Amsterdam, Vrije Universiteit, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands (V.V., W.M.v.d.F., B.M.T.); Department of Neurodegeneration, Amsterdam Neuroscience, Amsterdam, the Netherlands (V.V., W.M.v.d.F., B.M.T.); Brain Imaging Centre, Research Centre for Natural Sciences, Budapest, Hungary (B.W., T.A., Z.V.); Biomatics and Applied Artificial Intelligence Institute, John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary (B.W.); Department of CSIRO Health and Biosecurity, The Australian e-Health Research Centre, Brisbane, Australia (P.B.); School of Psychology, University of Surrey, Guildford, United Kingdom (T.A.); Sorbonne Université, Institut du Cerveau- Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France (S.D.); Department of Epidemiology and Data Science, Vrije Universiteit, Amsterdam UMC, location VUmc, Amsterdam, the Netherlands (W.M.v.d.F.); Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam the Netherlands (F.B.); Queen Square Institute of Neurology, University College London, United Kingdom (F.B.); and UCL Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering and Department of Computer Science, University College London, London, United Kingdom (F.B., D.C.A., A.A., N.P.O.).

Purpose To extend a previously developed machine learning algorithm for harmonizing brain volumetric data of individuals undergoing neuroradiological assessment of Alzheimer disease not encountered during model training. Materials and Methods Neuroharmony is a recently developed method that uses image quality metrics (IQM) as predictors to remove scanner-related effects in brain-volumetric data using random forest regression. To account for the interactions between Alzheimer disease pathology and IQM during harmonization, the authors developed a multiclass extension of Neuroharmony for individuals with and without cognitive impairment.

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Cerebrovascular events (CVEs) are serious late adverse events among childhood cancer survivors. We estimated the incidence and risk factors of symptomatic CVEs and described the clinical characteristics among childhood cancer survivors after upper body radiotherapy. The Dutch Childhood Cancer Survivor Study LATER cohort study includes 5-year childhood cancer survivors diagnosed View Article and Find Full Text PDF

Background: Chronic pain following traumatic stress exposure (TSE) is common. Increasing evidence suggests inflammatory/immune mechanisms are induced by TSE, play a key role in the recovery process versus development of post-TSE chronic pain, and are sex specific. In this study, we tested the hypothesis that the inflammatory marker C-reactive protein (CRP) is associated with chronic pain after TSE in a sex-specific manner.

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Association of blood cadmium and physical activity with mortality: A prospective cohort study.

Ecotoxicol Environ Saf

December 2024

Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou 510370, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou 510260, China. Electronic address:

Physical activity (PA) may be considered an alternative method to ameliorate the elevated mortality risks associated with cadmium exposure. In this prospective cohort study, a total of 20,253 participants (weighted mean age, 47.79 years), including 10,247 men (weighted prevalence: 50.

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Atherosclerotic cerebrovascular disease could result in a great number of deaths and disabilities. However, it did not acquire enough attention. Less information, statistics, or data on the disease has been revealed.

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Background: Disorders of consciousness (DoC) refers to a group of clinical conditions of altered consciousness. To improve their diagnosis and prognosis, multimodal assessment can be of great importance. Informal caregivers of people with DoC who are confronted with new technologies as such can benefit from interventions to expand their health literacy, i.

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Longitudinal patient registries generate important evidence for advancing clinical care and the regulatory evaluation of health-care products. Most national registries rely on data collected as part of routine clinical encounters, an approach that does not capture real-world, patient-centred outcomes, such as physical activity, fatigue, ability to do daily tasks, and other indicators of quality of life. Digital health technologies that obtain such real-world data could greatly enhance patient registries but unresolved challenges have so far prevented their broad adoption.

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