额叶皮质低激活调节多动症儿童静息脑电图微状态。

Chaithanya Leon, Simran Kaur, Rajesh Sagar, Prashant Tayade, Ratna Sharma
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摘要

背景:本研究检测了多动症儿童静息状态下的脑电图微状态改变及其神经发生器,以探索一种潜在的状态生物标志物。方法:合并型ADHD和神经型儿童(NC)共76例,各38例。对两组5分钟静息(睁眼)128通道脑电数据和2分钟干净脑电数据进行微观状态、来源和连通性分析。在Cartool软件中使用改进的k均值聚类对组间微观状态参数进行比较。此外,利用LORETA软件对显著微状态图的皮层来源和功能连通性进行了研究。随后,微观状态参数与Conner父母评定量表的行为得分相关。结果:在检查的微状态参数中,ADHD儿童表现出显著差异(p)结论:脑电图微状态特征以及源性和连通性测量可以区分ADHD儿童和神经正常对照组。主要额叶区域的失活及其连通性被发现决定了微观状态图。
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Cortical hypoactivation of frontal areas modulate resting EEG microstates in children with ADHD.

Background: The present study examined EEG microstate alterations and their neural generators during resting state in children with ADHD to explore a potential state biomarker.

Methods: A total of seventy-six participants, thirty-eight each, combined type ADHD, and neurotypical children (NC) participated in the study. Five-minute resting (eyes open) 128 channel eeg data were acquired and two-minute clean EEG data were analyzed for microstates, its sources and connectivity in both the groups. Between groups comparisons were done for microstate parameters using modified k means clustering in Cartool software. Further, the cortical sources and functional connectivity of significant microstate maps were explored using LORETA software. Subsequently microstate parameters were correlated with the behavioral scores from Conner's parent rating scale.

Results: Among the microstate parameters examined, children with ADHD displayed significant difference (p<0.05) in time frames and time coverage of map B (decreased) and transition probability of map D (increased) respectively. Interestingly, source analysis of both microstate maps showed hypoactivation of frontal areas predominantly while functional connectivity showed hyperconnectivity between medial frontal gyrus and anterior cingulate gyrus (executive function area) for map B and hypoconnectivity between medial frontal gyrus and middle temporal gyrus (both are suggested to be part of DMN areas) for map D. Further CSD values of map B was found to be correlated with executive function scores of conners questionnaire.

Conclusion: EEG microstate features, alongside source and connectivity measures, could discern children with ADHD from neurotypical controls. The hypoactivation of predominantly frontal areas and its connectivity was found to determine microstate maps.

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