Eeg Phenotypes Predict Treatment Outcome To Stimulants In Children With Adhd
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Study at a glance
- Area
- ADHD & Attention
- Study type
- Observational study
- Authors
- Arns M, Gunkelman J, Breteler M, Spronk D
- Journal
- Journal of Integrative Neuroscience
- Year
- 2008
- Population
- Children
- Protocol
- resting EEG phenotype classification and stimulant medication response
Key findings
- EEG phenotypes were identifiable with good inter-rater reliability
- Frontal Slow, Slowed Alpha Peak Frequency and Low Voltage phenotypes best separated ADHD from controls, though not significantly
- The Frontal Slow group showed a clinically relevant drop in false negative errors on the continuous performance test (CPT) with a stimulant
- Slowed alpha peak frequency has likely been misread as a frontal theta subgroup in earlier research
This study tested whether EEG 'phenotypes' (recognizable EEG patterns described by Johnstone, Gunkelman and Lunt) can be rated reliably and whether they predict how children with ADHD respond to stimulant medication. The phenotypes were found in both children with ADHD and healthy controls. The authors conclude that research should separate a slowed alpha peak frequency from frontal theta, and that phenotypes may help predict treatment outcome.