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Published on: April 1, 2018
ADHD and Differences in Brain Function as Measured by EEG: Cause or Effect?
Kwangmi Ahn1, Jenny Jean2, Luke J Norman2
1National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Objectives:
Although extensive research has documented associations between Attention-Deficit/Hyperactivity Disorder (ADHD) and differences in resting-state electroencephalography (EEG) oscillatory activity, the causal nature of these relationships remains uncertain. This study aimed to determine whether there is a causal relationship between resting-state EEG activity and ADHD using genetic methods.
Methods:
We performed a bidirectional two-sample Mendelian Randomization analysis using summary-level genome-wide association study data. EEG data were obtained from the ENIGMA-EEG consortium, including resting-state EEG spectral power measurements from 7,983 subjects. ADHD genome-wide association study summary statistics were derived from 225,534 individuals, alongside data for six additional psychiatric disorders from the Psychiatric Genomics Consortium. Mendelian Randomization analysis was used to test for causal relationships in both directions between EEG activity and ADHD.
Results:
We identified a significant unidirectional causal relationship, with genetic variants influencing resting alpha-band EEG activity conferring risk for ADHD (odds ratio = 0.89, 95% confidence interval [0.82, 0.96], p = 1.52 × 10⁻³). No evidence was found for reverse causation from ADHD liability to alpha EEG power band activity (odds ratio = 1.07, 95% confidence interval [0.88, 1.30], p = .52).
Conclusions:
Our findings provide genetic evidence that reduced resting-state alpha power is not merely correlated with ADHD but may causally predispose individuals to developing the disorder. This supports previous observational studies linking lower alpha activity to ADHD and establishes a causal pathway from altered EEG activity to ADHD risk, with important implications for understanding ADHD pathophysiology and potential biomarker development.
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