PIPages
Labs

Ivan Soltesz

Stanford University, CA·Neuroscience

Epilepsy affects about 65 million people worldwide. Many patients have seizures that existing drugs cannot control, and they face a higher risk of death.

Fields

Neuroscience

Medicine & Clinical Research

Biomedical Engineering

Topics

epilepsy

Dravet syndrome

seizures

Grants
2 known grants, through Nov 2029

What they work on

  1. Identify non-invasive behavioral biomarkers that predict chronic seizures and death, using MoSeq AI analysis of 3D video in mouse models of temporal lobe epilepsy and Dravet syndrome.
  2. Examine the neuronal activity underlying altered patterns of MoSeq behavioral modules in chronically epileptic mice recorded in vivo.
  3. Adapt MoSeq for 24/7 monitoring of mice in realistic social settings, and test focused ultrasound as a closed-loop seizure treatment triggered by predictive behaviors.
  4. Test whether activity-dependent endocannabinoid signaling in the hippocampus is persistently altered in chronic temporal lobe epilepsy, using new lipid sensors, calcium imaging and electrophysiology in behaving mice.
  5. Target CB1-expressing GABA-releasing inhibitory neurons with non-invasive closed-loop interventions to control chronic seizures and improve spatial information processing in epileptic mice.

More about the research

Researchers lack reliable ways to predict which brains will become epileptic after injury, or when a seizure is coming. They also need gentler, non-invasive ways to stop seizures. This work tackles these problems in mouse models from two directions: AI-based reading of behavior, and the brain's own cannabinoid signaling.

Why it matters

Many children and adults with epilepsy, including those with temporal lobe epilepsy and Dravet syndrome, still have seizures despite treatment. Automated, video-based markers could help preclinical researchers predict who develops epilepsy and who is at risk of death, which could speed testing of new therapies. Understanding the brain's own cannabinoid signaling may guide cannabinoid-based and non-invasive closed-loop treatments for drug-resistant seizures.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Behavioral biomarkers for prediction of mortality and seizures in epilepsy

NIH · Dec 2024 – Nov 2029

Activity-dependent endocannabinoid control in epilepsy

NIH · Apr 2023 – Mar 2028

Closest labs

Barna Dudok

Baylor College of Medicine, TX·Neuroscience·Early-career

Test whether CCK and PV basket cells, two types of inhibitory neurons, are active in different brain states in a kainate mouse model of temporal lobe epilepsy, using two-photon calcium imaging with hippocampal field recordings.

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.

Ana Beatriz De Paula E Silva

University of Utah, UT·Neuroscience·Early-career

Track when TREM1, a receptor that amplifies inflammation, appears on brain-infiltrating macrophages in TMEV-infected mice, and test whether genetic or drug blocking of TREM1 reduces acute seizures measured by video-EEG.

The school

Stanford University: 87 labs on PI Pages, $1.6B a year on research, 739 research doctorates a year.

More about Stanford University

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