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Hemorrhagic vs Ischemic Stroke Outcomes Diverge
February 2026
Matched lesion stroke analysis found hemorrhagic stroke caused worse disability and higher DALYs than ischemic stroke by year five.
Read more
19 Jun 2025
New Migraine Treatment Blends Telehealth Approaches
An emerging treatment model for migraine integrates behavioral and pharmacologic approaches via telehealth, potentially improving access and outcomes for patients with this highly disabling neurological condition.
17 Jun 2025
Mood Symptoms Linked to Poorer Progressive Supranuclear Palsy Outcomes
Depression and anxiety, not motor decline, are the strongest predictors of quality of life in patients with progressive supranuclear palsy (PSP), according to a new study that underscores the pressing need for comprehensive symptom management beyond traditional motor assessments.
15 Jun 2025
Diagnostic Gaps Revealed in Small Fiber Neuropathy
Clinical evaluation of small fiber neuropathy (SFN) remains inconsistent across neurology subspecialties, with survey data revealing wide variation in diagnostic practices, even when faced with common patient scenarios.
12 Jun 2025
GPT-4o Extracts Neural Circuit Data for Epilepsy Research
In a breakthrough that could accelerate research into Sudden Unexpected Death in Epilepsy (SUDEP), researchers have demonstrated that a state-of-the-art AI model, GPT-4o, can accurately extract neural projections from scientific literature.
10 Jun 2025
Frailty Predicts Mortality After Endovascular Treatment
Frailty is a critical predictor of mortality and neurological outcome in older patients undergoing endovascular therapy for ischemic stroke, according to a national German registry analysis involving over 2,400 patients.
8 Jun 2025
Bridging the Catatonia Knowledge Gap in Clinics
Catatonia remains a misunderstood neuropsychiatric condition, and a new evidence-based review challenges ten prevailing myths that may delay diagnosis and compromise patient outcomes.
5 Jun 2025
AI Framework Forecasts Brain Age and Cognitive Decline
A new deep-learning framework using MRI scans offers promising accuracy in predicting brain age, cognitive decline, and amyloid plaque buildup, key factors in the early detection of Alzheimer’s disease and related neurodegenerative disorders.
3 Jun 2025
Why Delirium Prediction Models Often Fail Doctors
Delirium remains a critical yet often underrecognized condition in acute care settings with direct links to increased mortality and extended hospital stays.
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