Articles tagged with Neurological Data
A new study examining brain tissue from 631 former football players found that the cumulative force of hits, not just the number of concussions, was the strongest predictor of chronic traumatic encephalopathy (CTE). The study suggests that reducing the force and frequency of head impacts could help prevent CTE in athletes.
Researchers applied machine learning to brain responses and achieved near-perfect classification accuracy for songs that may become hits. The approach, called 'neuroforecasting,' uses data from a small group of people to predict population-level effects without needing to measure the brain activity of hundreds of people.
The UC Santa Cruz Genomics Institute will run the Data Coordination Center for the Scalable and Systematic Neurobiology of Psychiatric and Neurodevelopmental Disorder Risk Genes (SSPsyGene) Consortium. The team will coordinate an initial selection of 250 relevant genes from nearly 30,000 protein coding genes in the human genome.
A new clinical trial report reveals that brain-computer interface implants are associated with a low rate of adverse events, similar to those experienced by patients with other chronic medical conditions. The study, which followed 14 participants for an average of 872 days, found no serious adverse events or device removals.
A Cornell-led collaboration used machine learning to predict Alzheimer's progression in cognitively normal and mildly impaired individuals. The modeling showed that MRI scans are most informative for asymptomatic cases, while PET scans are more effective for those with mild cognitive impairment.
A new study by UCL researchers found that tailoring whole genome sequencing analysis to individual patients can double the diagnostic rates of rare diseases. The personalised approach increased the diagnostic rate from 16.7% to 31.4%, detecting potential disease-causing variants in a further 3.9% of patients.
Researchers found that structural racism and insurance barriers limit access to advanced epilepsy care for minority groups in New Jersey. Black patients with private insurance and Medicaid had the lowest EMU admission rates relative to emergency room visits.
A team of researchers at USC is launching a comprehensive study to investigate the connection between type 2 diabetes and dementia in adults with Hispanic ancestry. The five-year study will examine brain structure and activity, blood flow, blood glucose and insulin levels, and cognitive functioning in 200 participants.
The CMU Array, a new microelectrode array, offers customized treatments for neurological disorders by allowing for three-dimensional sampling and ultra-high-density configurations. This technology has the potential to transform how doctors treat conditions like epilepsy and limb function loss.
The National Institutes of Health has awarded a $10.7 million grant to Cleveland Clinic to expand a national research consortium focused on improving diagnosis and treatments for Dementia with Lewy Bodies. The consortium, which includes multiple clinical sites, aims to identify biomarkers for disease and develop new therapies.
Alzheimer's researchers highlight the need for more diverse participation in clinical trials, citing underrepresentation of African Americans and Latinos. They offer solutions to improve recruitment, including culturally sensitive cognitive tests and partnerships with community organizations.
Researchers at UTHealth Houston will create a coordinating unit for biostatistics, informatics, and engagement to advance knowledge about human brain neurons. The project aims to produce an open-access digital brain cell reference atlas to improve understanding of neurological functions and disorders.
New research shows that COVID-19 infections can lead to a range of neurological complications in the first year after infection, including strokes, cognitive decline, depression, anxiety, and migraine headaches. The study analyzed over 14 million medical records and found that COVID-19 survivors were at increased risk of developing the...
Researchers developed an in-home wireless device that monitors a patient's movement and gait speed to track Parkinson's disease progression. The device uses machine-learning algorithms to analyze over 200,000 data points collected from 50 participants, showing that it can effectively track the severity of the disease.
A groundbreaking crowdsourced study has provided the first epidemiologic data on coma in the United States and United Kingdom. The research, involving nearly 2,000 participants, identified 714 plausible cases of common coma, providing critical insights into its incidence and causes.
Researchers at Johns Hopkins Medicine developed an AI training strategy to capture images of mouse brain cells in action, allowing scientists to understand how the brain functions and is affected by disease. The technology combines ultra-small microscopes with AI to enhance image resolution up to 52 frames per second.
A team of researchers developed a prognostic model using automated brain scans and machine learning to predict survival and recovery in severe TBI patients. The model accurately predicted risk of death and unfavorable outcomes at six months after the injury, potentially improving clinical decision-making and patient care.
Researchers at Columbia University have developed a way to use the body's ions to transmit data at megahertz rates for implantable bioelectronics. This technique, dubbed ionic communication, leverages electrical potential energy stored in living tissues to exchange data with external devices.
A global study examining surgical management of traumatic brain injuries reveals regional disparities in causes, treatment, and patient outcomes. Hospitals in low-HDI settings often delay surgery and lack postoperative monitoring equipment.
A new software uses pose estimation to track human motion with high accuracy, providing an objective assessment of motor function. The technology has the potential to revolutionize neurological care by enabling patients to record video that can be analyzed by their physicians remotely.
Professor Alexander Ecker is awarded a Starting Grant to develop machine-learning methods to describe neurons' shape and function, leveraging a large dataset from the US Brain Initiative. The research aims to uncover how a neuron's shape relates to its role in sensory information processing.
The USC Institute is launching a $3 million global consortium study to analyze brain imaging, genetics, and clinical data from 20 countries. The study aims to understand how Parkinson's disease progresses in the brain and explore genetic factors contributing to risk.
Patients treated by mobile stroke units had faster anti-clot medication delivery and less disability at 90 days compared to standard ambulance care, according to a study published in NEJM. The trial, which enrolled over 1,500 patients, showed that MSU-treated patients were more likely to receive tPA and have better mortality rates.
A new study uses AI to predict the risk of stroke recurrence in individuals, identifying high blood pressure, raised cholesterol, and atrial fibrillation as key risk factors. This personalized approach aims to improve patient treatment adherence and reduce the likelihood of another stroke.
A recent study found COVID-19 survivors exhibit abnormal patterns of brain connectivity associated with increased post-traumatic stress symptoms. The research team discovered three distinct states of functional connectivity in the brains of COVID-19 survivors, which are linked to symptom severity.
A machine learning analysis has identified 50 genes strongly associated with neurological aging in both Drosophila fruit flies and humans. The study suggests that fruit flies could be used as a model organism to further investigate aging-related processes.
The Lancet journals present research on improving stroke outcomes, including effects of antiplatelet therapy and robotic training for upper limb rehabilitation. Papers also explore extending thrombolysis and stenting for symptomatic vertebral artery stenosis.
Researchers at the University of Washington have developed AFQ-Browser, a web-based tool for displaying, analyzing, and sharing neurological data collected through diffusion-weighted MRI studies. The browser aims to improve transparency and data-sharing methods in neuroscience research.
Researchers developed a new device measuring blink reflex parameters to help diagnose concussions. The Blink Reflexometer TM assesses blink reflex data, providing an objective measure of primitive reflex changes, allowing for accurate diagnoses and decision-making in sports settings.
A large German health insurer study found that long-term use of proton pump inhibitors (PPIs) may be associated with an increased risk of dementia in older adults. The study included over 218,000 individuals and found that regular PPI users had a 44% higher risk of developing dementia compared to non-users.
Researchers found therapeutic hypothermia to be beneficial for some patients following cardiac arrest, but ineffective or even worsening outcomes in others. The study suggests a need for more rigid guidelines to ensure appropriate application of cooling strategies.
A review of nearly 500 articles found nearly one in 1,000 people have multiple sclerosis (MS) and 67 out of 1,000 elderly Americans have Alzheimer’s disease. The study also reported a 50% drop in traumatic brain injuries and updated rates for stroke, Parkinson's disease, and childhood disorders like autism and cerebral palsy.
A large collaborative effort has made publicly available genetic data for Parkinson's research, providing new opportunities for future studies. The data includes genotypes from hundred of patients and healthy controls, which may help identify common genetic variability that results in minor and moderate risk for disease.
A new analysis of the Moderate to Severe Alzheimer's Disease Study (MSAD) found that ARICEPT significantly improved global function, cognition, and activities of daily living in patients with severe Alzheimer's disease. The study showed that ARICEPT also reduced behavioral symptoms associated with the disease.
According to a new study, stroke incidence in the US may be rising, affecting over 1.2 million people annually. Researchers found that stroke numbers have remained stable for 15 years, suggesting previously reported figures may be too low.
Researchers found that brain areas active during eye movements also control visual attention, shifting focus to peripheral areas. This discovery suggests a shared neural basis for these functions, with potential implications for understanding early mammalian cognition and primate social behavior.