Intracranial electroencephalographic (iEEG) recordings from patients with epilepsy provide distinct opportunities and novel data for the study of co-occurring psychiatric disorders. Comorbid psychiatric disorders are very common in drug-resistant epilepsy and their added complexity warrants careful consideration. In this review, we first discuss psychiatric comorbidities and symptoms in patients with epilepsy. We describe how epilepsy can potentially impact patient presentation and how these factors can be addressed in the experimental designs of studies focused on the electrophysiologic correlates of mood. Second, we review emerging technologies to integrate long-term iEEG recording with dense behavioral tracking in naturalistic environments. Third, we explore questions on how best to address the intersection between epilepsy and psychiatric comorbidities. Advances in ambulatory iEEG and long-term behavioral monitoring technologies will be instrumental in studying the intersection of seizures, epilepsy, psychiatric comorbidities, and their underlying circuitry.

Bioelectronics Neurophysiology and Engineering Laboratory Department of Neurology Mayo Clinic Rochester MN United States

Biomedical Engineering and Physiology Graduate Program Mayo Clinic Graduate School of Biomedical Sciences Rochester MN United States

Czech Institute of Informatics Robotics and Cybernetics Czech Technical University Prague Prague Czechia

Department of Neurosurgery Mayo Clinic Rochester MN United States

Department of Otorhinolaryngology Mayo Clinic Rochester MN United States

Department of Psychiatry and Psychology Mayo Clinic Rochester MN United States

Faculty of Biomedical Engineering Czech Technical University Prague Kladno Czechia

Faculty of Electrical Engineering and Communication Department of Biomedical Engineering Brno University of Technology Brno Czechia

Mayo Clinic Alix School of Medicine Rochester MN United States

Mayo Clinic Medical Scientist Training Program Rochester MN United States

The Czech Academy of Sciences Institute of Scientific Instruments Brno Czechia

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High and low frequency anterior nucleus of thalamus deep brain stimulation: Impact on memory and mood in five patients with treatment resistant temporal lobe epilepsy

Utilization of temporal autoencoder for semi-supervised intracranial EEG clustering and classification

Distributed brain co-processor for tracking spikes, seizures and behaviour during electrical brain stimulation

Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans