EEG Vigilance and Phenotypes in Neuropsychiatry: Implications for Intervention
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Study at a glance
- Area
- ADHD & Attention
- Study type
- Review & meta-analysis
- Authors
- Arns M, Gunkelman J, Olbrich S, Sander C, Hegerl U
- Journal
- Neurofeedback and Neuromodulation Techniques and Applications (Academic Press)
- Year
- 2011
- Population
- Children, Adults
Key findings
- Reviews EEG research history in ADHD and depression
- Describes the EEG vigilance algorithm (VIGALL) and the EEG phenotype model, with their reliability and prevalence
- Argues for prognostic, individualized use of EEG to choose interventions
A book chapter bringing together two ways of reading the EEG to guide treatment choice in ADHD and depression: the EEG vigilance model, which describes how the brain's arousal regulation shifts during rest, and the EEG phenotype model, which classifies recurring EEG patterns. The authors argue that individual EEG profiles, rather than group averages, should guide personalized treatment, including neurofeedback and medication.