Shikun Zhan

This study validates MEG's ability to measure neural activity across frequency and depth using intracranial EEG data from epileptic patients, showing strong agreement for lower frequencies and superficial sources, and sensitivity to deep structures like the hippocampus.

This paper shows that hippocampal theta oscillations can be detected and tracked non-invasively using MEG, validated across rodent and human datasets.

The paper identifies a frequency-following response in the subthalamic nucleus using auditory stimuli, suggesting potential for non-invasive deep brain stimulation.

The paper shows increased theta/alpha synchrony in the habenula-prefrontal network during negative emotional stimulus processing in psychiatric patients.

This study examines changes in subthalamic nucleus neural activity during anaesthesia and intubation using LFPs and EEG, finding frequency band shifts and coherence changes linked to excitation/inhibition balance.