Sri Sarma delivered a lightning talk about A Breakthrough in Epilepsy Diagnosis: Getting Patients the Right Answers, Faster at the BrainMind Science Collective in March 2025!
You can take a look at it here.
Sri Sarma delivered a lightning talk about A Breakthrough in Epilepsy Diagnosis: Getting Patients the Right Answers, Faster at the BrainMind Science Collective in March 2025!
You can take a look at it here.
Sri Sarma joins Mark Mattson on his Brain Ponderings podcast to discuss:
Neurological disorders involve aberrant neural network activity. New technologies are needed for establishing at a fine spatial and temporal resolution the nature of the altered network activity – and for restoring activity to or towards a healthy state. Professor Sri Sarma is an electrical engineer and neuroscientist who is at the forefront of this research field. Her research combines learning theory and control systems with neuroscience to develop novel approaches for understanding normal brain function and then developing brain – computer – electrophysiology feedback control systems to improve performance in health and disease. Her research and technology development is advancing personalized treatments for epilepsy, Parkinson’s disease, chronic pain, and depression.
Watch here on Spotify: https://open.spotify.com/show/39HsoeK8o7DtXIhepNCvfL
or here on YouTube: https://www.youtube.com/@brainponderingswithmarkmat648/videos
Sri Sarma has been named a fellow of the American Institute for Medical and Biological Engineering (AIMBE). She is among 171 engineers and researchers in this year’s class who were at an induction ceremony on Monday in Arlington, Virginia.
Johns Hopkins biomedical engineer Sri Sarma is developing new technologies to pinpoint the exact origin of seizures in the brain—life-changing work for the roughly 21 million epilepsy patients worldwide whose seizures aren’t relieved by medications.
Removing the specific brain region where seizures originate is the last resort when medication fails. But current clinical tools make precisely locating the epileptogenic zone (EZ) extremely difficult, rendering surgery effective in only about half the cases. With funding from the National Institutes of Health, Sarma and her team help surgeons determine if and where they should operate, improving the success rate of epilepsy surgeries.
Doctors could soon reduce epilepsy misdiagnoses by up to 70% using a new tool that turns routine electroencephalogram, or EEG, tests that appear normal into highly accurate epilepsy predictors, a Johns Hopkins University study has found.
By uncovering hidden epilepsy signatures in seemingly normal EEGs, the tool could significantly reduce false positives—seen in around 30% of cases globally—and spare patients from medication side effects, driving restrictions, and other quality-of-life challenges linked to misdiagnoses.
“Even when EEGs appear completely normal, our tool provides insights that make them actionable,” said Sridevi V. Sarma, a Johns Hopkins biomedical engineering professor who led the work. “We can get to the right diagnosis three times faster because patients often need multiple EEGs before abnormalities are detected, even if they have epilepsy. Accurate early diagnosis means a quicker path to effective treatment.”
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