Welcome! The BRAIN Dynamics Lab is a collaborative group of physician scientists, computational neuroscientists, engineers, mathematicians, and computer scientists focused on understanding and treating human brain dynamics with a particular emphasis on epilepsy, development and memory.
We study how large-scale neural networks generate complex patterns of activity across states—wake, sleep and seizures—and how these patterns relate to cognition, behavior, and clinical outcomes. By combining advanced modeling with invasive and non-invasive human neural recordings, our goal is to move seamlessly from mechanism to meaningful, real-world therapies.
Our work spans the full translational arc: from theory and algorithms to bedside implementation. On the computational side, we develop methods to characterize oscillations and cross-regional interactions, detect subtle neural patterns in noisy data in real time, and build machine learning and dynamical systems models that capture how pathological activity emerges and impacts healthy brain processes. On the clinical side, we analyze intracranial EEG, scalp EEG, and multimodal data from neonates, children and adults with epilepsy and related conditions, including peri-surgical and long-term monitoring cohorts. We are especially interested in biomarkers that localize the epileptogenic zone, predict cognitive outcomes and guide individualized treatment.
Core interests of the BRAIN Dynamics Lab include:
- Mapping pathological and physiological network dynamics in human EEG/iEEG
- Identifying reliable electrophysiologic biomarkers of the epileptogenic zone
- Understanding the role of sleep rhythms (ripples, spindles, slow waves) in memory and epilepsy
- Developing real-time detection and closed-loop stimulation algorithms
- Building interpretable computational and machine learning models of human brain networks
- Improving surgical and neuromodulatory outcomes for children and adults with drug-resistant epilepsy
BRAIN Dynamics Lab at Johns Hopkins University
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