Narayan Puthanmadam Subramaniyam

The paper identifies consistent acute scalp EEG signatures of anterior thalamic DBS in epilepsy, showing gamma power enhancement and aperiodic parameter changes across multiple sessions.

The paper demonstrates the feasibility of collecting high-quality EEG data in field settings in India and Tanzania using trained teams and automated quality control, achieving cost-effective large-scale data collection.

This paper develops a Bayesian parameter estimation method for neural mass models using sensitivity analysis, showing that key parameters change significantly during epileptic seizures.

This paper introduces a joint estimation method for neural sources and their functional connections from MEG data, showing improved accuracy compared to traditional sequential approaches.