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1,012 results for “Neurology”
Dataset related to article "Lipoprotein receptor loss in forebrain radial glia results in neurological deficits and severe seizures"
<p>This dataset is related to the article entitled: Lipoprotein receptor loss in forebrain radial glia results in neurological deficits and severe seizures. This article is published in the Journal GLIA.</p> <p>Bres EE et al.<br> Lipoprotein receptor loss in forebrain radial glia results in<br> neurological deficits and severe seizures. Glia. 2020;1–33.</p>
Fig. 4 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 4. Parsimony analysis of the combined nuclear and mitochondrial genes yielded four equally parsimonious trees (CI 0.93). Strict consensus supported monophyly of B. transfuga and identity of the L3 recovered from moose.
Fig. 3 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 3. Molecular phylogenetic analyses establishing identity of Baylisascaris transfuga in moose calves. Branch support indicated by parsimony bootstrap above and Bayesian posterior probability below. Fig 3A. Parsimony analysis of the 12S rDNA sequences showing strict consensus of 2 equally parsimonious trees. Fig 3B. Parsimony analysis showing strict consensus of the cox2 sequences which yielded four equally parsimonious trees (CI 0.86). Fig 3C. Parsimony analysis of the 28S rDNA sequences yielded one most parsimonious tree of length (CI 0.97). Fig. 3D. Parsimony analysis of the ITS rDNA sequences yielded one most parsimonious tree of length (CI 0.97).
Fig. 1 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 1. Third stage larvae of Baylisascaris transfuga in histological sections of brain of female moose calf (USNPC 108284/Alaska Department of Fish and Game OMC ID Tag 56 Alaska V-11-201); scale = 50 μm. Fig. 1. Brain tissue with L3's in transverse sections. Note prominent lateral alae, coelomyarian polymyarian musculature and morphology consistent with Baylisascaris; maximum diameter of L3, 85 μm.
Fig. 2 in Transuterine infection by Baylisascaris transfuga: Neurological migration and fatal debilitation in sibling moose calves (Alces alces gigas) from Alaska
Fig. 2. Third stage larvae of Baylisascaris transfuga in histological sections of brain of female moose calf (USNPC 108284/Alaska Department of Fish and Game OMC ID Tag 56 Alaska V-11-201); scale = 50 μm. Fig. 2. Third stage larva in longitudinal section, view of cephalic region in brain tissue.
The impact of severity of acute respiratory distress syndrome following cardiac arrest on neurologic outcomes
<p>Overall survival rates at 28 days in patients with and without ARDS. ARDS = acute respiratory distress syndrome</p>
Orthostatic hypotension, dizziness, neurology outcomes, and death in older adults, supplement methods & tables, STROND checklist
<p>Objective To test the hypothesis that orthostatic hypotension (OH) might cause cerebral hypoperfusion and injury, we examined the longitudinal relationship between orthostatic hypotension (OH) or orthostatic symptoms and incident neurologic outcomes in a community population of older adults. Methods Cardiovascular Health Study (CHS) participants (≥65yrs) without dementia or stroke had blood pressure (BP) measured after lying 20-minutes and after standing 3-minutes. Participants reported dizziness immediately upon standing and any dizziness in the past 2wks. OH was defined as a drop in standing systolic/diastolic BP ≥20/≥10mmHg. We determined the association between OH or dizziness with (1) MRI brain findings (ventricular size, white matter hyperintensities, brain infarcts) using linear or logistic regression, (2) cognitive function (baseline and over time) using generalized estimating equations, and (3) prospective adjudicated events (dementia, stroke, death) using Cox models. Models were adjusted for demographic characteristics and OH risk factors. We used multiple imputation to account for missing OH or dizziness (N=534). Results Prior to imputation, there were 5,007 participants (mean age 72.7±5.5yrs, 57.6% women, 10.9% black, 16% with OH). OH was modestly associated with death (HR=1.11; 95%CI:1.02,1.20), but not MRI findings, cognition, dementia, or stroke. In contrast, dizziness upon standing was associated with lower baseline cognition (β=-1.20;-1.94,-0.47), incident dementia (HR=1.32;1.04,1.62), incident stroke (HR=1.22;1.06,1.41), and death (HR=1.13; 1.06,1.21). Similarly, dizziness over the past two weeks was associated with higher white matter grade (β=0.16;0.03,0.30), brain infarcts (OR=1.31;1.06,1.63), lower baseline cognition (β=-1.18;-2.01,-0.34), and death (HR=1.13;1.04,1.22). Conclusions Dizziness was more consistently associated with neurologic outcomes than OH 3-minutes after standing. Delayed OH assessments may miss pathologic information related to cerebral injury.</p>
Neurologic manifestations in an infant with COVID-19
<p>Currently, there are over 1.9 million confirmed cases of Coronavirus disease 2019 (COVID-19) globally with over 590,000 cases in the United States.<sup>1</sup> The number of COVID-19 positive children in the United States is unknown. A report summarizing 72,314 COVID-19 cases from the Chinese Center for Disease Control and Prevention noted 416 COVID-19 positive children under 10.<sup>2</sup> An observational study at Wuhan Children's Hospital noted 31 COVID-19 positive children under 1 year with the youngest confirmed case in a 1 day old.<sup>3</sup> Cases were largely characterized by upper respiratory tract infection or pneumonia, fever, cough and pharyngeal erythema.<sup>3</sup> Concomitant neurologic problems have been reported amongst COVID-19 positive adult patients.</p>
Data from: TRANSCENDS: a career development program for underrepresented in medicine scholars in academic neurology
<p class="MsoNoSpacing"><b>Background: </b>The Training in Research for Academic Neurologists to Sustain Careers and Enhance the Numbers of Diverse Scholars (TRANSCENDS) program is a career advancement opportunity for individuals underrepresented in biomedical research, funded by the National Institute and Neurological Disorders and Stroke; and American Academy of Neurology (AAN).</p> <p class="MsoNoSpacing"><b>Objective:</b> To report on qualitative and quantitative outcomes in TRANSCENDS.</p> <p class="MsoNoSpacing"><b>Design:</b> Early career individuals (neurology fellows and junior faculty) from groups underrepresented in medicine were competitively selected from a national pool of applicants (2016-2019). TRANSCENDS activities comprised an online Clinical Research degree program, monthly webinars, AAN meeting activities, and mentoring. Participants were surveyed during and after completion of TRANSCENDS to evaluate program components.</p> <p class="MsoNoSpacing"><b>Outcomes:</b> Of 23 accepted scholars (comprising four successive cohorts), 56% were women; 61% Hispanic/Latinx, 30% Black/African American, 30% assistant professors. To date, 48% have graduated the TRANSCENDS program and participants have published 180 peer-reviewed articles. Mentees' feedback noted that professional skills development (i.e., manuscript and grant writing), networking opportunities, and mentoring were the most beneficial elements of the program. Stated opportunities for improvement included: incorporating a mentor-the-mentor workshop, providing more transitional support for mentees in the next stage of their careers, and requiring mentees to provide quarterly reports.</p> <p class="MsoNoSpacing"><b>Conclusions:</b> TRANSCENDS is a feasible program for supporting underrepresented in medicine neurologists towards careers in research and faculty academic appointments attained thus far have been sustained. While longer term outcomes and process enhancements are warranted, programs like this may help increase the numbers of diverse academic neurologists, and further drive neurological innovation.</p>
Association of Serum Biomarkers with Early Neurological Improvement after Intravenous Thrombolysis in Ischemic Stroke
<p><strong>Background:</strong> Early neurological improvement (ENI) after intravenous thrombolysis is associated with favorable outcome, but associated serum biomarkers were not fully determined. We aimed to investigate the issue in a prospective cohort.</p> <p><strong>Methods:</strong> In INTRECIS study, five centers were designed to consecutively collect the blood sample from enrolled patients. Enrolled patients with ENI and without ENI were matched by propensity score matching with the ratio of 1:1. Preset 49 biomarkers were measured through protein microarray analysis. Enrichment of Gene Ontology and pathway, and protein-protein interaction network were analyzed in the identified biomarkers.</p> <p><strong>Results:</strong> Of 358 patients, 19 occurred ENI, who were assigned as ENI group, while 19 matched patients without ENI were assigned as Non ENI group. A total of nine biomarkers were found different, among which levels of chemokine (C-C motif) ligand (CCL)-23, chemokine (C-X-C motif) ligand (CXCL)-12, insulin-like growth factor binding protein (IGFBP)-6, interleukin (IL)-5, lymphatic vessel endothelial hyaluronan receptor (LYVE)-1, plasminogen activator inhibitor (PAI)-1, platelet-derived growth factor (PDGF)-AA, suppression of tumorigenicity (ST)-2, and tumor necrosis factor (TNF)-α were higher in ENI group, compared with those in Non ENI group.</p> <p><strong>Conclusions:</strong> Our finding found that serum levels of CCL-23, CXCL-12, IGFBP-6, IL-5, LYVE-1, PAI-1, PDGF-AA, ST-2, and TNF-α at admission were associated with post-thrombolytic ENI in ischemic stroke. The role of these biomarkers warrant further investigation.</p>
Clinical Dataset for Artificial Intelligence-Driven Predictive Modeling for Home Discharge in Neurological and Orthopedic Conditions
<p><span>In recent years, the fusion of the medical and computer science domains has gained significant traction in the scientific research landscape. Progress in both fields has enabled the generation of a vast amount of data used for making predictions and identifying interesting clusters and pathways. The Machine Learning model's application in the medical domain is one of the most compelling and challenging topics to explore, bridging the gap between Artificial Intelligence (AI) and healthcare. The combination of AI and medical information offers the possibility to create tools that can benefit both healthcare providers and physicians. This enables the enhancement of rehabilitation therapy and patient care. In the rehabilitation context, this work provides an alternative perspective: prediction of patients’ home discharge upon completing the rehabilitation protocol. Demographic and clinical data were collected from electronic Medical Record. </span></p> <p><span>The original analysis dataset includes clinical and demographic data of adults admitted to the neurology and orthopedic departments of a rehabilitation hospital in Italy from January 2015 to August 2022. The completion of patients’ ADR-r form</span><span> resulted in the collection of data for 10520 individuals, whose information is distributed across 120 initial features. We anonymized dataset rows. Clinical data, including the primary reason for rehabilitation, any associated medical conditions, impairments, and admission/discharge mBi scores were collected. </span></p> <p><span>A legend file is enclosed to explain variable labels.</span></p>
A multifaceted hybrid ES-robotic device for gait training in individuals with neurological disorders
<p>Data files acquired during tests and Matlab code necessary for analyzing data and generating the images of the paper </p>
Table Recognition Benchmark on Biomedical Literature on Neurological Disorders
<p>The dataset contains 1650 tables from 1164 PMC OA articles in the context of neurological disorders. The tables are structured in the International Conference on Document Analysis and Recognition (ICDAR) format.</p> <p>The additional csv file contains a labeling into 3 different complexity classes in the format:</p> <p>class document_id table_id</p> <p>with the classes being:</p> <p>0 = simple<br> 1 = complicated<br> 2 = complex</p> <p>You may use the scripts from <a href="https://github.com/TimAdams84/pmc-downloader">this repository</a> to bulk download PDF sources from PMC.</p> <p>A script for evaluating results against the groundtruth data can be found <a href="https://github.com/mnamysl/benchmarking_table_recogn">here</a>.</p>
Raw Data for the article: Neurological Screening in Elderly Liver Transplantation Candidates: A Single Center
<p><strong>Background: </strong>Cerebral small vessels disease (cSVD) is an age-related disorder and risk factor for stroke and cognitive/motor impairments. Neurological complications (NCs) are among the causes of adverse outcomes in older liver transplant recipients. This study sought to determine whether cSVD predicts acute NCs in over 65-year-old liver transplant patients.</p> <p><strong>Methods: </strong>Data were collected, from a retrospective medical chart review, of 22 deceased donor liver transplant recipients aged 65 years or older with a pre-operative brain magnetic resonance imaging (MRI). We used the Fazekas score (0-3) as a quantitative measurement of the vascular lesion load seen in the MRI. We analyzed all post-operative acute NCs occurring during the hospital stay and any other non-NC.</p> <p><strong>Results: </strong>cSVD was recognized in all patients. Neurological complications (NCs) occurred in 18.1% of patients with toxic-metabolic encephalopathy the most frequent diagnosis (13.64%). More severe cSVD was associated with seizures (<em>p</em> = 0.0362), longer hospital stay (<em>p</em> 0.0299), and disability (<em>p</em> 0.0134). In our elderly cohort, hepatic encephalopathy (HE) (<em>p</em> 0.0287) and ascites (<em>p</em> 0.0270) were predictors of NCs after liver transplantation. Ascites and/or variceal bleeding and severity of liver disease were associated with adverse post-operative outcomes. The small sample size limited the statistical analysis power.</p> <p><strong>Conclusions: </strong>We present the preliminary data of a single-center retrospective study aimed at understanding the cSVD role on NCs and non-NCs after a liver transplantation in elderly patients. This would encourage a more appropriate multicenter prospective study that will definitely confirm if a neurological screening in old age liver transplant candidates is appropriate.</p>
Psycho-physio-neurological correlates of qualitative attention, emotion and flow experiences in a close-to-real-life extreme sports situation: low- and high-altitude slackline walking
<p>It has been indicated that extreme sport activities, despite providing fear, stress and anxiety, also result in a highly rewarding experience. Studies have related this experience to the concept of flow, a positive feeling that individuals undergo when they are completely immersed in an activity. However, little is known about the exact nature of these experiences, and, there are still no empirical results to characterize the brain dynamics during extreme sport practice. This work aimed at investigating changes in psychological responses while recording physiological (heart rate – HR, and breathing rate – BR) and neural (electroencephalographic – EEG) data of eight volunteers, during outdoors slackline walking in a mountainous environment at two different altitude conditions (1 m – low-walk – and 45 m – high-walk – from the ground). Low-walk showed a higher score on flow scale, while high-walk displayed a higher score in the negative affect aspects, which together point to some level of flow restriction during high-walk. The order of task performance was shown to be relevant for the physiological and neural variables. The brain behavior during flow, mainly considering attention networks, displayed the stimulus-driven ventral attention network – VAN, regionally prevailing (mainly at the frontal lobe), over the goal-directed dorsal attention network – DAN. Therefore, we suggest an interpretation of flow experiences as an opened attention to more changing details in the surroundings, i.e., configured as a ‘task-constantly-opened-to-subtle-information experience’, rather than a ‘task-focused experience’.</p>
Psycho-physio-neurological correlates of qualitative attention, emotion and flow experiences in a close-to-real-life extreme sports situation: low- and high-altitude slackline walking
<p>It has been indicated that extreme sport activities, despite providing fear, stress and anxiety, also result in a highly rewarding experience. Studies have related this experience to the concept of flow, a positive feeling that individuals undergo when they are completely immersed in an activity. However, little is known about the exact nature of these experiences, and, there are still no empirical results to characterize the brain dynamics during extreme sport practice. This work aimed at investigating changes in psychological responses while recording physiological (heart rate – HR, and breathing rate – BR) and neural (electroencephalographic – EEG) data of eight volunteers, during outdoors slackline walking in a mountainous environment at two different altitude conditions (1 m – low-walk – and 45 m – high-walk – from the ground). Low-walk showed a higher score on flow scale, while high-walk displayed a higher score in the negative affect aspects, which together point to some level of flow restriction during high-walk. The order of task performance was shown to be relevant for the physiological and neural variables. The brain behavior during flow, mainly considering attention networks, displayed the stimulus-driven ventral attention network – VAN, regionally prevailing (mainly at the frontal lobe), over the goal-directed dorsal attention network – DAN. Therefore, we suggest an interpretation of flow experiences as an opened attention to more changing details in the surroundings, i.e., configured as a ‘task-constantly-opened-to-subtle-information experience’, rather than a ‘task-focused experience’.</p>
Maximizing trEatment of Neurological Dysfunction Using INtravenous Guanfacine Study
ClinicalTrials.gov study NCT04742673. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Improving Oral Care to Reduce Hospital-Acquired Pneumonia (HAP) in the Acute Neurologically Impaired Adult
ClinicalTrials.gov study NCT01498601. IPD Sharing: Not stated. Countries: 1. Publications: 21.
Neuroimaging Biomarkers of Prognosis in Motor Functional Neurological Disorders
ClinicalTrials.gov study NCT03398070. IPD Sharing: NO. Countries: 1. Publications: 2.
Virtual Reality Rehabilitation for Cognitive, Emotional, and Motor Recovery in Neurological Disorders
ClinicalTrials.gov study NCT06838975. IPD Sharing: YES. Countries: 1. Publications: 3.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.