Articles tagged with Neurological Data
The Barrow Neuro Analytics Center has nearly doubled its dedicated research space to 18,000 square feet, supporting growing neurological research programs. Researchers at the center are globally renowned for their work on Parkinson's disease, Alzheimer's, and other neurological disorders using data-focused methods.
Researchers at TU Graz developed a neuroadaptive VR system that adjusts the intensity of exposure to anxiety levels, optimizing effectiveness in treating arachnophobia. The system uses EEG data and heart rate analysis, providing reliable indicators of stress and anxiety.
Gene coexpression analysis reveals optimal markers of cell types and states, providing opportunities for developing novel biomarkers and targeted treatment strategies for glioma patients. Dr. Oldham's work tackles the reproducibility crisis in science, emphasizing data metadata standardization.
Researchers from the University of Texas at San Antonio discovered a significant link between REM sleep disturbances and increased PTSD severity. The study suggests that targeting REM sleep could be a promising approach for improving PTSD treatment outcomes.
A cross-sectional survey found that hospitalized patients with neurological diseases were at risk of malnutrition, with a significant portion requiring nutrition therapy. The study highlights the need for improved nutritional assessment and treatment to reduce complications and improve outcomes.
A new AI model developed by Uppsala University accurately diagnoses multiple sclerosis (MS) with an overall accuracy of 90%, identifying the transition from relapsing-remitting to secondary progressive MS in almost 87% of cases. This enables earlier diagnosis, reducing the risk of patients receiving ineffective medicines.
This study examines the effectiveness of combining microvascular decompression with nerve combing for patients with atypical trigeminal neuralgia, a chronic pain condition that does not respond well to conventional treatments. The procedure has shown promising results in reducing pain levels and improving patient outcomes.
Patients who develop epilepsy after a traumatic brain injury are at an increased risk of premature death, with a mortality rate 1.8 times higher than those without epilepsy. The study also found that the risk of developing epilepsy is highest in the first year after the injury.
Researchers at The University of Texas at San Antonio are working on a new AI tool to improve lives after brain injury. They plan to analyze data from 3,000 veterans and develop an interactive dashboard for clinicians to use, providing insights that could revolutionize treatment.
A new AI tool called MindGlide can extract key information from brain images to measure damaged areas and highlight subtle changes in MS patients. The tool performed better than other AI tools and expert clinical analysis, enabling researchers to unlock valuable insights into multiple sclerosis.
Researchers at Mayo Clinic developed a personalized deep brain stimulation platform to treat drug-resistant epilepsy. The study found that this approach reduced seizures while also improving memory and sleep in patients with temporal lobe epilepsy.
A global study led by UCalgary researchers found that one in five people who experience a minor stroke or TIA will have another stroke within 10 years. The study analyzed data from over 171,000 patients across four continents and shows a persistently high risk of future strokes for at least a decade.
A new study published by the American Academy of Neurology has found a nearly five-fold increase in U.S. hospitalizations for cervical artery dissection between 2005 and 2019. The study, which analyzed 125,102 hospitalizations, found that rates rose steadily year-over-year, with significant increases among certain racial groups.
The ALL ALS Consortium has recruited over 300 participants across two studies, ASSESS and PREVENT, aiming to disrupt traditional ALS research by making data and samples available worldwide. The consortium seeks to discover new drug targets and approaches for effective treatments.
A new digital 'translator' for brain studies enables researchers to map the brain in a standardized way, facilitating discoveries and treatments for various disorders. The open-source software allows for the comparison of brain imaging data with widely used brain atlases, promoting commonalities across findings.
UC San Diego Health has earned The Joint Commission's Gold Seal of Approval for Advanced Certification in Spine Surgery, reflecting its dedication to patient safety and surgical innovation. The health system continues to provide consultation to other organizations exploring the certification.
A new gamified mobile health app, More Stamina, has been shown to effectively manage MS-related fatigue by helping users track their daily activities and energy expenditure. The study found that the app facilitated conversations between MS patients and their families, improving understanding and support.
Virginia Tech researchers Pamela VandeVord and Gunnar Brolinson received a $2.17 million grant to investigate cranial osteopathic manual manipulation as a potential treatment for traumatic brain injury symptoms, particularly headaches. The noninvasive technique aims to enhance brain fluid motion and balance the autonomic nervous system.
A new Brazilian technology developed by brain4care has been shown to measure absolute values of intracranial pressure (ICP) more accurately than existing non-invasive methods. The technology analyzes ICP's morphology and trend, allowing for early detection of neurological changes and enabling doctors to intervene quickly and accurately.
The American Heart Association emphasizes the importance of brain health, citing a growing burden of dementia and neurological conditions worldwide. By adopting healthy behaviors and addressing modifiable risk factors, individuals can improve their cognitive function and reduce the risk of age-related decline.
A nationwide study found that COVID-19 hospital patients experienced a higher rate of deaths from any cause and were more likely to be hospitalized for specific conditions, particularly neurological and respiratory problems. The study also identified increased risks of chronic health complications up to 30 months after discharge.
Researchers from Cleveland Clinic’s Genome Center linked human herpesviruses to Alzheimer's disease via transposable elements. They identified TEs activated in HSV-1 infected brains and found that commercially available drugs can reverse this pathway.
A new study reveals that asymptomatic neonatal HSV infections in mice can lead to persistent CNS infection and long-term cognitive decline. Maternal vaccination may prevent this cognitive impairment, suggesting a potential strategy for reducing neurological damage in infected offspring.
A nationwide Danish study found that newborns with seizures are at a higher risk of developing epilepsy. The study analyzed data from over 1.3 million children and found that 20.4% of those with neonatal seizures developed epilepsy, compared to 1.15% of those without.
Researchers created a computational method to track brain cell development over time, capturing unlabeled cells and fine structures in live cultures. The algorithm achieved high precision rates for detecting individual neurons, paving the way for studying neurological diseases and developing therapies.
A new clinical trial will evaluate whether adding ketamine to standard treatment can improve outcomes for patients suffering from status epilepticus. The trial, called KESETT, hopes to determine whether ketamine can terminate the seizures in more patients than current treatments.
A new study led by researchers at Mass General Brigham suggests that different brain regions activated by creative tasks are part of one common brain circuit. People with brain injuries or neurodegenerative diseases may have increased creativity due to changes in this circuit.
A global study analyzed brain images of over 2,500 people with Parkinson's disease to identify patterns of neurodegeneration and create metrics for each clinical stage. The research could lead to better diagnostic tools and enable new treatments to be tested and monitored.
Researchers at the University of Cincinnati presented studies on intracerebral hemorrhage treatment eligibility, finding only 3% of patients are eligible for a minimally invasive procedure. Additionally, a study found racial disparities in stroke recovery, with Black individuals experiencing worse functional outcomes after ischemic str...
Researchers used single-cell sequencing to characterize different cell types in brain lesions and identify subpopulations involved in disease progression. The study provides a cellular view of focal cortical dysplasia, a malformation leading to drug-resistant epilepsy.
A global study will explore structural changes in the brains of people with bipolar disorder and compare them to major depression. The project aims to develop new tools for diagnosis and treatment, leveraging unprecedented sample sizes from over 3,500 individuals with BD and 9,000 healthy controls.
Researchers developed a novel cortical biomarker signature to predict individual pain sensitivity, showcasing high accuracy and reproducibility. The study suggests this biomarker has substantial potential for clinical translation in predicting chronic pain transitions.
Researchers found that patients undergoing mechanical thrombectomies at smaller hospitals did not have less favorable outcomes than those at large healthcare systems. In fact, larger hospitals with higher volumes of procedures saw more adverse outcomes in stroke patients.
The Advanced Research + Invention Agency has awarded $84.2 million to Rice researchers to explore and unlock new methods for interfacing with the human brain at the circuit level. The project involves developing a distributed network of minimally invasive implants to stimulate neural circuits with cell-type precision.
A European consortium has successfully diagnosed over 500 patients with unknown conditions, including rare neurological disorders and hereditary cancers. The diagnoses were made possible by extensive collaboration and reanalysis of existing genome data.
A new UC San Francisco study found that most 11- and 12-year-olds use TikTok and other social media platforms against the rules, showing signs of addiction. The study also revealed a quarter of children reported elements of addiction while using social media, linked to depression, eating disorders, ADHD, and disruptive behaviors.
A Mount Sinai-led team has developed an automated machine learning method that analyzes video recordings of clinical sleep tests to detect REM sleep behavior disorder (RBD) with nearly 92% accuracy. RBD is a sleep condition that causes abnormal movements during REM sleep and is often an early sign of Parkinson's disease or dementia.
A new grant will support a five-year investigation into the role of the brain's reward network in two neurodevelopmental conditions. Researchers will use high-resolution fMRI scans to analyze how the reward network interacts with other parts of the brain in autism, ADHD, and co-occurring autism and ADHD.
A new framework developed by UCLA researchers suggests that genetic data from large libraries of sequenced human genomes can improve the predictive power of genetics in determining how well a patient will respond to commonly prescribed medications and the severity of any side effects. The study, which analyzed data from over 342,000 pe...
A new Northwestern Medicine study found the 'lizard brain' is connected to newly evolved social cognitive network regions, which are involved in thinking about other people. This link helps shape the function of the social cognitive network by giving it access to the amygdala's role in processing emotionally important content.
The C-Path initiative aims to generate drug development solutions that reflect each person's unique experience, leveraging diverse data and innovative technologies like AI and digital health. GEM-PD seeks to address unmet need in Parkinson's disease therapies by focusing on sex and gender differences.
Researchers have developed a practical calculator to predict the risk of developing epilepsy after cerebral venous thrombosis, a rare cause of stroke. The tool is based on factors already available in clinical routine and can help inform treatment decisions or support preventive medication for those at high risk.
Researchers analyzed nearly 200,000 cases of witnessed out-of-hospital cardiac arrests to determine the effectiveness of bystander CPR within different time windows. The study found that people who received CPR within the first few minutes had a higher survival rate and better brain function than those who didn't.
A new study found that significant year-to-year fluctuations in cholesterol levels without medication changes could indicate an increased risk of developing dementia or cognitive decline. Researchers suggest that reducing cholesterol variability could potentially be a promising therapeutic target for dementia prevention.
Researchers at Mount Sinai trained an AI algorithm on over 16 million seconds of video footage from newborns in the NICU to predict sedation and cerebral dysfunction. The study shows promise for a minimally invasive, scalable method for continuous neurologic monitoring.
A Michigan Medicine study of over 18,500 adults found that obstructive sleep apnea was associated with a higher risk of dementia symptoms or diagnosis at every age level. Women were more likely to be diagnosed with dementia than men, especially as they aged.
Researchers identified hundreds of brain proteins associated with inter-individual differences in functional connectivity and structural covariation. The proteins were enriched for those involved in synapses, energy metabolism, and RNA processing, providing insights into the mechanistic basis of human cognition and behavior.
Researchers from Amsterdam UMC have developed a way to predict which patients are at risk of epilepsy after a cerebral venous sinus thrombosis (CVT), a rare type of stroke. The prediction model, known as the DIAS3 score, is based on six indicators and can be accessed online for healthcare providers worldwide.
New research confirms that young adults are at risk for large vessel occlusion acute ischemic strokes, which were previously thought to occur mainly in older adults. The study found that nearly 20% of a cohort of 1,200 young adult patients had these strokes, highlighting the need for regular check-ups and prompt treatment.
A longitudinal study tracked one person's brain activity for five months, revealing how daily life affects brain function. The research found that physical activity positively influences brain regions, while subtle shifts in mood and heart rate leave lasting imprints for up to fifteen days.
A new study presented at ECTRIMS 2024 reveals that initiating monoclonal antibody therapy during childhood can lead to improved long-term outcomes for children with MS. The research showed a substantially lower risk of progressing to higher disability levels in the early treatment group, particularly in moderate disability range.
A study published in Brain Communications found that heatwaves can trigger more seizures in individuals with severe epilepsy. Researchers used intracranial electroencephalography to track brain activity during heatwaves and non-heatwave periods, revealing a significant increase in seizure frequency during hot weather.
The FDA Letter of Support recognizes the potential of αSyn-SAA to accelerate clinical trial design in Parkinson's and related disorders. This biomarker can objectively detect early biology related to these diseases, enabling research toward tailored therapies and potentially delaying or preventing disease onset.
Researchers identified genes associated with a thinner cortex and smaller cerebellum, which can lead to uncontrollable shaking of hands. The study also found that faulty protein disposal affects cell function and disrupts neural pathways, making it difficult to treat the condition.
A new algorithm has been developed to improve the accuracy of intracranial EEG data, which is critical for diagnosing and treating epilepsy. The Automated Bad Channel Detection (ABCD) algorithm demonstrated higher accuracy than human raters, particularly in identifying channels with high-frequency noise.
Researchers at Boston University created an AI tool that can determine the cause of dementia using commonly collected patient data, boosting doctor accuracy by 26%. The algorithm identifies 10 types of dementia, including vascular and frontotemporal dementia, to help doctors manage patients more effectively.
Researchers developed a new brain-computer interface that translates brain signals into speech with up to 97% accuracy, enabling a man with amyotrophic lateral sclerosis (ALS) to communicate with friends and family. The system was tested in real-time conversations with continuous updates, achieving high word accuracy rates.
The Access for All in ALS Consortium has successfully enrolled its first participant, marking a significant step forward for ALS research. The consortium aims to disrupt the clinical research landscape using open science methods to advance ALS research.
A study published in Cardiovascular Diabetology found that higher blood glucose levels at admission significantly increase the risk of a poor functional prognosis or death within three months of an ischemic stroke. The study revealed that even a 10% increase in glucose levels raises the risk by 7%, and mortality risk by 88%.
Researchers at Mayo Clinic used AI to analyze electroencephalogram (EEG) tests, identifying subtle brain wave patterns characteristic of cognitive problems like Alzheimer's disease. This technology has the potential to provide healthcare professionals with a more accessible tool for early diagnosis in communities without easy access to...