Prosopagnosia, or "face-blindness", involves an entire network, not just one area of the brain. The findings may shed light on poor facial processing abilities associated with autism.
A new study finds almost 300,000 stroke survivors yearly will develop PTSD as a result of their health scare.
A national survey finds 3 out of 4 people under 45 underestimate the urgency of stroke symptoms and are more likely to delay seeking medical attention.
Researchers have discovered an elevated risk of intracerebral hemorrhage in people found to have a specific bacterium in their saliva.
Researchers report poor attentiveness and becoming more distracted during simple tasks could signify early symptoms of cerebral small vessel disease.
Adding icosapent ethyl, a triglyceride-lowering medication that is high in the omega 3 fatty acid, eicosapentaenoic acid, in combination with statins helped to reduce stroke risk by 36% in those with cardiovascular disease.
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··5 min readUsing AI technology to analyze CMR scans, researchers were able to precisely quantify the blood flow to the heart muscles of patients. Comparing the AI-generated blood flow results with health outcomes, the team found those with reduced blood flow were at increased risk of stroke, heart attacks, and heart failure. The machine-learning algorithm was able to predict which patients may die or suffer major adverse health events better than doctors could.
According to researchers, air pollution has become one of the leading global risk factors for stroke.
A newly developed artificial neural connection device allows new cortical sites, previously not associated with limb movements, to swiftly regain the control of a paralyzed hand.
A new study reports an anti-epilepsy drug could reduce the debilitating impact of strokes.
A new study reports an antidepressant temporarily inhibits the blood-brain barrier, allowing drugs to enter the brain. The findings could have implications for treating neurological diseases from ALS to epilepsy.
Researchers say machine learning is up to 85% accurate at predicting the severity of small vessel disease, a condition associated with stroke and dementia.
