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.
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Artificial intelligence technology that uses CT brain scan images is successfully able to detect, segments, quantify, and differentiate between different types of brain lesions.
A new study reports air evacuations may pose a significant added risk for people with TBI as they could potentially cause more damage.
Computational model provides caregivers and doctors a better understanding of the potential outcomes for a young child who suffers from a head injury as a result of abuse.
Animal-assisted therapy improves social behaviors and reduces negative emotions in those with TBI. The findings report those with brain injuries exposed to AAT experienced higher social engagement, satisfaction and motivation following therapy sessions.
People with Alzheimer's disease who use antipsychotic medications have a 29% higher risk of head injury, and a 22% increased risk of TBI compared to those with the neurodegenerative disease who do not use the medications.
Alzheimer's patients who used antipsychotics had a 29% increased risk of head injury and a 22% higher risk of TBI compared to others with the neurodegenerative disease who did not use the medications.
Response to speech can be measured with EEG in unresponsive patients with TBI. The strength of the response can be used to accurately make a prognosis.
A new biosensor has been developed which could alter doctors when serious brain injury occurs during heart surgery. Researchers hope the device could help doctors to devise new ways to minimize brain damage and start treatment rapidly.
An advanced imaging technique has revealed that some U.S. military personnel with mild blast-related traumatic brain injuries have abnormalities in the brain that have not been seen with other types of imaging.