Abstract
Personalized medicine in psychiatry is in need of biomarkers that resemble central nervous system function at the level of neuronal activity. Electroencephalography (EEG) during sleep or resting-state conditions and event-related potentials (ERPs) have not only been used to discriminate patients from healthy subjects, but also for the prediction of treatment outcome in various psychiatric diseases, yielding information about tailored therapy approaches for an individual. This review focuses on baseline EEG markers for two psychiatric conditions, namely major depressive disorder and attention deficit hyperactivity disorder. It covers potential biomarkers from EEG sleep research and vigilance regulation, paroxysmal EEG patterns and epileptiform discharges, quantitative EEG features within the EEG main frequency bands, connectivity markers and ERP components that might help to identify favourable treatment outcome. Further, the various markers are discussed in the context of their potential clinical value and as research domain criteria, before giving an outline for future studies that are needed to pave the way to an electrophysiological biomarker-based personalized medicine. (C) 2016 S. Karger AG, Basel
Original language | English |
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Pages (from-to) | 229-240 |
Number of pages | 12 |
Journal | Neuropsychobiology |
Volume | 72 |
Issue number | 3-4 |
DOIs | |
Publication status | Published - 2015 |
Externally published | Yes |
Keywords
- Quantitative electroencephalography
- Depression
- Attention deficit hyperactivity disorder
- Event-related potentials
- Personalized medicine
- Biomarker
- Research domain criteria
- EVENT-RELATED POTENTIALS
- ELECTROENCEPHALOGRAPHIC SLEEP PROFILES
- CENTRAL SEROTONERGIC NEUROTRANSMISSION
- TRANSCRANIAL MAGNETIC STIMULATION
- BRAIN ELECTRICAL TOMOGRAPHY
- PREDICTS TREATMENT RESPONSE
- AUDITORY-EVOKED-POTENTIALS
- PROLONGED P300 LATENCY
- SURROGATE END-POINTS
- SLOW-WAVE ACTIVITY