ADHD and Differences in Brain Function as Measured by EEG: Cause or Effect?

IF 2.2 3区 医学 Q2 PSYCHIATRY
Journal of Attention Disorders Pub Date : 2025-10-01 Epub Date: 2025-07-18 DOI:10.1177/10870547251349253
Kwangmi Ahn, Jenny Jean, Luke J Norman, Philip Shaw
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引用次数: 0

Abstract

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.

ADHD与脑电图测量的脑功能差异:原因还是影响?
目的:尽管广泛的研究已经证明了注意力缺陷/多动障碍(ADHD)与静息状态脑电图(EEG)振荡活动差异之间的联系,但这些关系的因果性质仍不确定。本研究旨在通过遗传方法确定静息状态脑电图活动与ADHD之间是否存在因果关系。方法:我们使用汇总水平的全基因组关联研究数据进行双向双样本孟德尔随机化分析。脑电数据来自ENIGMA-EEG联盟,包括7,983名受试者的静息状态脑电频谱功率测量。ADHD全基因组关联研究汇总统计数据来自225,534名个体,以及来自精神病学基因组学联盟的另外六种精神疾病的数据。采用孟德尔随机化分析检验脑电图活动与ADHD之间的双向因果关系。结果:我们确定了显著的单向因果关系,遗传变异影响静息α带脑电图活动,从而导致ADHD风险(优势比= 0.89,95%可信区间[0.82,0.96],p = 1.52 × 10毒血症)。未发现ADHD倾向与α脑电图功率带活动之间存在反向因果关系(优势比= 1.07,95%可信区间[0.88,1.30],p = 0.52)。结论:我们的研究结果提供了遗传证据,证明静息状态α功率的降低不仅与ADHD相关,而且可能导致个体易患该疾病。这支持了先前将低α活动与ADHD联系起来的观察性研究,并建立了脑电图活动改变与ADHD风险之间的因果关系,对理解ADHD病理生理学和潜在的生物标志物发展具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.60
自引率
6.70%
发文量
71
审稿时长
6-12 weeks
期刊介绍: Journal of Attention Disorders (JAD) focuses on basic and applied science concerning attention and related functions in children, adolescents, and adults. JAD publishes articles on diagnosis, comorbidity, neuropsychological functioning, psychopharmacology, and psychosocial issues. The journal also addresses practice, policy, and theory, as well as review articles, commentaries, in-depth analyses, empirical research articles, and case presentations or program evaluations.
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