Nishant Sinha
University of Pennsylvania, PA·Biomedical Engineering·Early-career
More than a third of the world's 70 million people with epilepsy keep having seizures despite medication. Surgery or implanted devices can stop seizures in many of these patients, but only if doctors correctly locate the brain networks that generate them.
- Fields
Biomedical Engineering
Neuroscience
Medicine & Clinical Research
- Topics
epilepsy
epileptic networks
seizure localization
- Grants
- 1 known grant, through Mar 2029
What they work on
- Build scalable pipelines that automatically aggregate and jointly analyze structural MRI, intracranial EEG (IEEG) and clinical data from multiple epilepsy centers, so analyses generalize across sites.
- Develop normative methods that merge structural imaging and IEEG and compare each patient's data with typical data, to identify the abnormal epileptic networks that generate seizures.
- Test whether the percentage of abnormal regions removed in surgery, quantified from MRI and IEEG, predicts seizure outcome in patients with temporal and extratemporal lobe epilepsy across 15 US centers.
More about the research
Today that targeting is largely done by hand. There is no rigorous way to measure these epileptic networks or to choose the best surgical approach, so care varies widely between hospitals and patients.
Why it matters
Patients with drug-resistant epilepsy could benefit from more accurate, standardized surgical planning. Quantitative maps of seizure networks may raise the chance that surgery stops seizures while reducing side effects and costs. Because the methods are developed and validated across 15 major US epilepsy centers, they could help make epilepsy treatment more consistent from one hospital to the next.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Martha Streng
University of Minnesota, MN·Neuroscience·Early-career
Use mesoscale calcium imaging of the cerebellar cortex in mice to determine how chronic, spontaneous seizures from the hippocampus alter cerebellar activity.
Matthew Banks
University of Wisconsin-Madison, WI·Neuroscience
Identify intracranial EEG biomarkers that distinguish conscious and unconscious states while epilepsy patients go under and emerge from general anesthesia.
Richard M Leahy
University of Southern California, CA·Neuroscience
Develop Brainstorm tools for experiments that use naturalistic, non-repeating stimuli, including machine- and human-readable labels for uncontrolled events and behavior, so these can be linked to recorded brain activity.
The school
University of Pennsylvania: 90 labs on PI Pages, $2.2B a year on research, 750 research doctorates a year.
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