Tag Archives: AI

AI Examines how music makes us feel

Artificial intelligence helps shed light on how people’s brains, bodies, and emotions react to listening to music. Music influences parts of the auditory cortex, including the Heschl’s gyrus and superior temporal gyrus, specifically responding to pulse clarity. Changes in dynamics, rhythm, timbre, and the introduction of new instruments cause an uptick in the response. The study also identified the best song types for the perfect workout, sleep, and study.

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Your heart beats faster, palms sweat and part of your brain called the Heschl’s gyrus lights up like a Christmas tree. Chances are, you’ve never thought about what happens to your brain and body when you listen to music in such a detailed way.

But it’s a question that has puzzled scientists for decades: Why does something as abstract as music provoke such a consistent response? In a new study, a team of USC researchers, with the help of artificial intelligence, investigated how music affects listeners’ brains, bodies and emotions.

The research team looked at heart rate, galvanic skin response (or sweat gland activity), brain activity and subjective feelings of happiness and sadness in a group of volunteers as they listened to three pieces of unfamiliar music. Continue reading

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Filed under AI, brain, brain function, brain research, music, music listening, Uncategorized

AI Could Soon Predict Cognitive Decline Leading to Alzheimer’s Disease – Study

A team of scientists has successfully trained a new artificial intelligence (AI) algorithm to make accurate predictions regarding cognitive decline leading to Alzheimer’s disease.

Dr. Mallar Chakravarty, a computational neuroscientist at the Douglas Mental Health University Institute, and his colleagues from the University of Toronto and the Center for Addiction and Mental Health, designed an algorithm that learns signatures from magnetic resonance imaging (MRI), genetics, and clinical data. This specific algorithm can help predict whether an individual’s cognitive faculties are likely to deteriorate towards Alzheimer’s in the next five years.

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“At the moment, there are limited ways to treat Alzheimer’s and the best evidence we have is for prevention. Our AI methodology could have significant implications as a ‘doctor’s assistant’ that would help stream people onto the right pathway for treatment. For example, one could even initiate lifestyle changes that may delay the beginning stages of Alzheimer’s or even prevent it altogether,” says Chakravarty, an Assistant Professor in McGill University’s Department of Psychiatry. Continue reading

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Filed under aging brain, AI, Alzheimer's disease, brain, brain function, brain health, cognition, cognitive decline, Healthy brain, Uncategorized