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Qualitative EEG Abnormalities Signal a Shift Towards Inhibition-Dominated Brain Networks. Results from the EU-AIMS LEAP Studies

crossref(2024)

Department of Integrative Neurophysiology | Aspect Neuroprofiles BV | Department of Cognitive Neuroscience

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Abstract
Qualitative EEG abnormalities are common in Autism Spectrum Disorder (ASD) and hypothesized to reflect disrupted excitation/inhibition balance. To test this, we recently introduced a functional measure of network-level E/I ratio (fE/I). Here, we applied fE/I and other quantitative EEG measures to alpha oscillations from source-reconstructed data in the EU-AIMS compilation of 267 EEG recordings from children-adolescents and adults with ASD and 209 controls. We analyzed these quantitative measures alongside evaluating for qualitative EEG abnormalities ranging from slowing of activity to epileptiform patterns aiming to replicate the findings from the SPACE-BAMBI study (Bruining et al., 2020). EEG abnormalities were only identified in a few adults and could not be statistically assessed. ASD children-adolescents with EEG abnormalities exhibited lower relative alpha power and lower fE/I compared to children-adolescents without abnormalities; however, the EEG-abnormality scoring did not stratify the behavioral heterogeneity of ASD using clinical measures. Surprisingly, several controls presented with qualitative EEG abnormalities and showed a strikingly similar anatomical distribution of lower fE/I to the one observed in the ASD group, suggesting a shift towards inhibition-dominated network dynamics, in regions associated with altered sensory processing. The robustness of this association between EEG abnormalities and reduced fE/I was further supported by re-analysis of the SPACE-BAMBI study in source space. Stratification by the presence of EEG abnormalities and their associated effects on network activity may help understand neurodevelopmental physiological heterogeneity and the difficulties in implementing E/I targeting treatments in unselected cohorts. ### Competing Interest Statement H.B., K.L.-H., and S.-S.P. are shareholders of Aspect Neuroprofiles BV, which develops physiology-informed prognostic measures for neurodevelopmental disorders. K.L.-H. has filed the patent claim (PCT/NL2019/050167) "Method of determining brain activity"; with priority date 16 March 2018. TC has served as a paid consultant to F. Hoffmann-La Roche Ltd. and Servier; and has received royalties from Sage Publications and Guilford Publications. A.E.-A. is a paid consultant for Aspect Neuroprofiles BV. J.B. has been in the past 3 years a consultant to / member of advisory board of / and/or speaker for Takeda, Roche, Medice, Angelini, Neuraxpharm, and Servier. He is not an employee of any of these companies, and not a stock shareholder of any of these companies. He has no other financial or material support, including expert testimony, patents, royalties. P.G. and J.F.H. are full-time employees of F. Hoffmann - La Roche Ltd. T.B. served in an advisory or consultancy role for eye level, Infectopharm, Medice, Neurim Pharmaceuticals, Oberberg GmbH and Takeda. He received conference support or speaker's fee by Janssen-Cilag, Medice and Takeda. He received royalities from Hogrefe, Kohlhammer, CIP Medien, Oxford University Press. The rest of the authors have no competing interests to declare. The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.
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要点】:研究发现在自闭症谱系障碍(ASD)患者中,定性的脑电图(EEG)异常反映了兴奋/抑制平衡的破坏,且与网络活动水平上的兴奋/抑制比率(fE/I)降低相关,这可能表明了向抑制主导的脑网络动态的转变。

方法】:研究应用fE/I及其他定量EEG指标于267名ASD儿童、青少年和成人以及209名对照组的源重建EEG数据中的α节律进行分析。

实验】:通过分析EU-AIMS汇编的EEG记录,并对比SPACE-BAMBI研究的源空间重分析结果,发现ASD患者中EEG异常与降低的相对α功率和fE/I相关,而对照组中也有个别出现类似EEG异常,且fE/I降低的解剖分布与ASD组相似。