Dynamic Causal Modeling of the Relationship between Cognition and Theta-alpha Oscillations in Adults with Down Syndrome
Dynamic Causal Modeling of the Relationship between Cognition and Theta-alpha Oscillations in Adults with Down Syndrome
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DOI：
10.1093/cercor/bhz043
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发表时间：
2019-05-01
期刊：
影响因子：
3.7
通讯作者：
Strydom, Andre
中科院分区：
文献类型：
--
作者：
Hamburg, Sarah;Rosch, Richard;Strydom, Andre
唐氏综合征（DS）患者在认知能力方面表现出高度的受试者间差异，并且具有极高的发展痴呆症的风险（90%的终生患病率）。阐明认知功能变异的潜在因素可以告知我们智力残疾（ID），并可能提高我们对与后期认知衰退相关因素的理解。神经元抑制增加被认为是DS中ID的原因。结合脑电图（EEG）与动态因果模型（DCM）提供了一种非侵入性的方法来研究兴奋/抑制机制。从36名没有认知能力下降证据的DS成人中获得静息状态EEG记录。θ-α活动（4-13 Hz）与一般认知能力（原始Kaufmann’s Brief Intelligence Test第二版（KBIT-2）评分）相关地表征。较高的KBIT-2与较高的额叶α峰振幅和分布区域的较高θ-α带功率相关。对这种与DCM的关联进行建模，揭示了内在的自我抑制是观察到的4-13 Hz功率与KBIT-2和年龄相关的差异的关键网络参数。特别是，在右V1的内在自我抑制与KBIT-2呈负相关。结果表明，阿尔法网络内的内在自我抑制与DS成人认知能力的个体差异相关，并可能为认知增强提供潜在的治疗靶点。
Individuals with Down syndrome (DS) show high inter-subject variability in cognitive ability and have an ultra-high risk of developing dementia (90% lifetime prevalence). Elucidating factors underlying variability in cognitive function can inform us about intellectual disability (ID) and may improve our understanding of factors associated with later cognitive decline. Increased neuronal inhibition has been posited to contribute to ID in DS. Combining electroencephalography (EEG) with dynamic causal modeling (DCM) provides a non-invasive method for investigating excitatory/inhibitory mechanisms. Resting-state EEG recordings were obtained from 36 adults with DS with no evidence of cognitive decline. Theta-alpha activity (4-13 Hz) was characterized in relation to general cognitive ability (raw Kaufmann's Brief Intelligence Test second Edition (KBIT-2) score). Higher KBIT-2 was associated with higher frontal alpha peak amplitude and higher theta-alpha band power across distributed regions. Modeling this association with DCM revealed intrinsic self-inhibition was the key network parameter underlying observed differences in 4-13 Hz power in relation to KBIT-2 and age. In particular, intrinsic self-inhibition in right V1 was negatively correlated with KBIT-2. Results suggest intrinsic self-inhibition within the alpha network is associated with individual differences in cognitive ability in adults with DS, and may provide a potential therapeutic target for cognitive enhancement.