Your browser doesn't support javascript.
loading
Invasive Electrophysiology for Circuit Discovery and Study of Comorbid Psychiatric Disorders in Patients With Epilepsy: Challenges, Opportunities, and Novel Technologies.
Balzekas, Irena; Sladky, Vladimir; Nejedly, Petr; Brinkmann, Benjamin H; Crepeau, Daniel; Mivalt, Filip; Gregg, Nicholas M; Pal Attia, Tal; Marks, Victoria S; Wheeler, Lydia; Riccelli, Tori E; Staab, Jeffrey P; Lundstrom, Brian Nils; Miller, Kai J; Van Gompel, Jamie; Kremen, Vaclav; Croarkin, Paul E; Worrell, Gregory A.
Afiliação
  • Balzekas I; Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
  • Sladky V; Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, United States.
  • Nejedly P; Mayo Clinic Alix School of Medicine, Rochester, MN, United States.
  • Brinkmann BH; Mayo Clinic Medical Scientist Training Program, Rochester, MN, United States.
  • Crepeau D; Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
  • Mivalt F; Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czechia.
  • Gregg NM; Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
  • Pal Attia T; The Czech Academy of Sciences, Institute of Scientific Instruments, Brno, Czechia.
  • Marks VS; Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
  • Wheeler L; Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
  • Riccelli TE; Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
  • Staab JP; Faculty of Electrical Engineering and Communication, Department of Biomedical Engineering, Brno University of Technology, Brno, Czechia.
  • Lundstrom BN; Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
  • Miller KJ; Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
  • Van Gompel J; Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
  • Kremen V; Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, United States.
  • Croarkin PE; Bioelectronics, Neurophysiology, and Engineering Laboratory, Department of Neurology, Mayo Clinic, Rochester, MN, United States.
  • Worrell GA; Biomedical Engineering and Physiology Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, United States.
Front Hum Neurosci ; 15: 702605, 2021.
Article em En | MEDLINE | ID: mdl-34381344
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.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article