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ADHD 儿童和青少年在工作记忆任务中的时频神经动力学。

Time-frequency neural dynamics of ADHD children and adolescents during a Working Memory task.

机构信息

Human Psychobiology Laboratory, Experimental Psychology Department, University of Seville, Spain.

Departamento de Psicología Evolutiva y de La Educación, University of Seville, Spain.

出版信息

Neurosci Lett. 2023 Feb 28;798:137100. doi: 10.1016/j.neulet.2023.137100. Epub 2023 Jan 30.

DOI:10.1016/j.neulet.2023.137100
PMID:36720344
Abstract

The present report analyzed the time-frequency changes in Event-Related Spectral perturbations (ERSP) in a sample of ADHD children and adolescents compared to a normodevelopment (ND) sample. A delayed match-to-sample (DMTS) test of working memory (WM) was presented to a group of ADHD subjects (N = 29) and compared with ND group (N = 34) with ages between 6 and 17 years old. Time-frequency decomposition was computed through wavelets. ADHD subjects presented higher Reaction Time (RT), Standard Deviation of RT (Std of RT), and a reduced percentage of correct responses. The results showed a complex pattern of oscillatory bursts during the encoding, maintenance, and recognition phases with similar dynamics in both groups. ADHD children presented a reduced Event-Related Synchronization (ERS) in the Theta range during the encoding phase, and also a reduced Alpha ERS during the late period of the maintenance phase. S1 Early theta ERS was positively correlated with Std of RT. Behavioral data, early Theta, and late Alpha ERS classified correctly above 70 % of ADHD and ND subjects when a linear discriminant analysis was applied. The reduced encoding and maintenance impaired brain dynamics of ADHD subjects would justify the poorer performance of this group of subjects.

摘要

本报告分析了 ADHD 儿童和青少年样本与正常发育(ND)样本相比,事件相关光谱波动(ERSP)的时频变化。对一组 ADHD 受试者(N=29)和 ND 组(N=34)进行了工作记忆(WM)的延迟匹配样本测试,年龄在 6 至 17 岁之间。通过小波对时频分解进行了计算。ADHD 患者的反应时间(RT)、RT 标准差(Std of RT)较高,正确反应的百分比降低。结果表明,在编码、维持和识别阶段存在复杂的振荡爆发模式,两组的动力学相似。ADHD 儿童在编码阶段的Theta 频段的事件相关同步(ERS)减少,在维持阶段的后期,Alpha ERS 也减少。S1 早期 theta ERS 与 Std of RT 呈正相关。当应用线性判别分析时,行为数据、早期 theta 和晚期 alpha ERS 可正确分类 70%以上的 ADHD 和 ND 受试者。编码和维持受损会导致 ADHD 患者大脑活动的受损,从而解释了该组患者表现较差的原因。

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