Podcast with Viktor Jirsa on epilepsy and virtual brain

What if epilepsy is not a broken circuit but a network pushed into the wrong dynamical state , and what if computational models could guide surgeons to intervene without destroying healthy tissue? Physicist Viktor Jirsa explains how whole-brain mean field models are transforming epilepsy from a localized lesion problem into a network science challenge with direct clinical implications. Subscribe for more from the Convergent Science Network podcast series. Viktor Jirsa joins Paul Verschure and Tony Prescott to describe why epilepsy offers a uniquely tractable entry point for computational neuroscience. Unlike schizophrenia or depression, epileptic seizures produce unmistakable spatiotemporal signatures , high-frequency oscillations visible to the naked eye in electrode recordings, linked to characteristic behavioral patterns as the seizure propagates through brain networks. Jirsa's approach treats the epileptogenic zone not as a single broken region but as a distributed network whose dynamics can be captured by mean field models that collapse millions of neurons into a handful of state variables per brain region. The conversation confronts the hard methodological questions head-on. Verschure challenges whether mean field models anchored to slow fMRI signals can capture the rapid, transient, multi-scale dynamics that matter clinically. Jirsa acknowledges that validation against microscopic spiking network simulations is still underway and that the metrics for comparing model output to real brain dynamics remain underdeveloped , functional connectivity measures require stationarity assumptions that biological systems violate. Yet he argues that the network perspective has already changed clinical thinking: non-local interventions, where stimulation or minimal surgery at one brain region rebalances a distant epileptogenic network, are a logical consequence that only in silico modeling can safely explore. Key topics include why thirty percent of epilepsy patients are drug-resistant, how surgery success rates have remained flat at fifty percent for decades, the promise of minimally invasive techniques like thermocoagulation guided by computational models, why the Virtual Brain project represents a shift toward personalized network medicine, and what it would take to validate whole-brain models against the high-dimensional dynamics they claim to capture. Part of the Convergent Science Network podcast series from the BCBT Summer School.