Israeli research receives funding for new sleep-based dementia diagnostic method

Israeli research receives funding for new sleep-based dementia diagnostic method
Israeli research receives funding for new sleep-based dementia diagnostic method

A Tel Aviv University (TAU) study, led by Yuval Nir of TAU’s Faculty of Medical and Health Sciences, uses artificial intelligence (AI) to noninvasively detect a specific form of abnormal brain activity associated with dementia and other disorders such as epilepsy.

Recently, this team of scientists received a research grant from Corundum Neuroscience, an Israeli investment fund specializing in innovative neuroscience research. The goal of the research is to improve the diagnosis of early-stage dementia and other neurological disorders while the patient is asleep.

While we sleep, a form of brain activity known as paroxysmal discharges (PD) occurs in the brain. Because they occur deep within the brain, they are difficult to detect and measure without invasive procedures.

However, TAU researchers developed a way to use machine learning to identify subtle signals seen in the brain when paroxysmal discharges occur.

Nir explained that “currently there is no objective tool with the necessary sensitivity to non-invasively detect and quantify the brain activity signatures we are investigating.”

He added that his “goal is to combine research on brain activity during sleep with machine learning, laying the groundwork for measuring abnormal brain states in dementia during sleep and ultimately validating biomarkers for a wide range of neurological disorders.”

 
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