Frontiers in Human Neuroscience (Jul 2021)
Invasive Electrophysiology for Circuit Discovery and Study of Comorbid Psychiatric Disorders in Patients With Epilepsy: Challenges, Opportunities, and Novel Technologies
- Irena Balzekas,
- Irena Balzekas,
- Irena Balzekas,
- Irena Balzekas,
- Vladimir Sladky,
- Vladimir Sladky,
- Petr Nejedly,
- Petr Nejedly,
- Benjamin H. Brinkmann,
- Daniel Crepeau,
- Filip Mivalt,
- Filip Mivalt,
- Nicholas M. Gregg,
- Tal Pal Attia,
- Victoria S. Marks,
- Victoria S. Marks,
- Lydia Wheeler,
- Lydia Wheeler,
- Lydia Wheeler,
- Tori E. Riccelli,
- Jeffrey P. Staab,
- Jeffrey P. Staab,
- Brian Nils Lundstrom,
- Kai J. Miller,
- Kai J. Miller,
- Jamie Van Gompel,
- Jamie Van Gompel,
- Vaclav Kremen,
- Vaclav Kremen,
- Paul E. Croarkin,
- Paul E. Croarkin,
- Gregory A. Worrell
Affiliations
- Irena Balzekas
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Irena Balzekas
- Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, United States
- Irena Balzekas
- Mayo Clinic Alix School of Medicine, Rochester, MN, United States
- Irena Balzekas
- Mayo Clinic Medical Scientist Training Program, Rochester, MN, United States
- Vladimir Sladky
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Vladimir Sladky
- Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czechia
- Petr Nejedly
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Petr Nejedly
- The Czech Academy of Sciences, Institute of Scientific Instruments, Brno, Czechia
- Benjamin H. Brinkmann
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Daniel Crepeau
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Filip Mivalt
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Filip Mivalt
- Faculty of Electrical Engineering and Communication, Department of Biomedical Engineering, Brno University of Technology, Brno, Czechia
- Nicholas M. Gregg
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Tal Pal Attia
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Victoria S. Marks
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Victoria S. Marks
- Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, United States
- Lydia Wheeler
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Lydia Wheeler
- Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, United States
- Lydia Wheeler
- Mayo Clinic Alix School of Medicine, Rochester, MN, United States
- Tori E. Riccelli
- Mayo Clinic Alix School of Medicine, Rochester, MN, United States
- Jeffrey P. Staab
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
- Jeffrey P. Staab
- Department of Otorhinolaryngology, Mayo Clinic, Rochester, MN, United States
- Brian Nils Lundstrom
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Kai J. Miller
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Kai J. Miller
- 0Department of Neurosurgery, Mayo Clinic, Rochester, MN, United States
- Jamie Van Gompel
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Jamie Van Gompel
- 0Department of Neurosurgery, Mayo Clinic, Rochester, MN, United States
- Vaclav Kremen
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Vaclav Kremen
- 1Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Prague, Czechia
- Paul E. Croarkin
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Paul E. Croarkin
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
- Gregory A. Worrell
- Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States
- DOI
- https://doi.org/10.3389/fnhum.2021.702605
- Journal volume & issue
-
Vol. 15
Abstract
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.
Keywords
- epilepsy
- psychiatric disorders
- major depression (MDD)
- SEEG (stereoelectroencephalography)
- electrocorticography (ECoG)
- deep brain stimulation
