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Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

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在患有ADHD的儿童中,无周期组件和无周期调整的α波段振荡

Ran Chen¹, Wen-Juan Liu², Jiu-Ju Wang³

¹Mental Health Center, University-Town Hospital of Chongqing Medical University, Chongqing, China.

Journal of psychiatric research

|March 29, 2024

概括

患有注意力缺陷/多动障碍 (ADHD) 的儿童表现出较低的神经指数,这是ADHD的潜在生物标志物. 这一发现在EEG研究中的各种头皮区域和侧面化中是一致的.

科学领域:

神经科学是一个神经科学.
发展心理学发展心理学
生物标志物生物标志物

背景情况:

注意缺陷/多动障碍 (ADHD) 是一种影响儿童的神经发育障碍.
了解神经相关性,如非周期性质和α波段振荡,对于ADHD研究至关重要.
之前的研究还没有完全探索头皮区域和侧面化的影响在ADHD中的这些神经测量.

研究的目的:

研究ADHD儿童的无周期性特性和无周期性调整的α波段振荡.
检查头皮区域和横向化对ADHD中这些神经测量的影响.
在6-12岁儿童中识别潜在的ADHD神经生物标志物.

主要方法:

电脑电图 (EEG) 记录来自62名患有ADHD的儿童和52名典型发育的儿童 (6-12岁).
"FOOOF"算法计算了无周期参数 (指数,偏移) 和无周期调整的α频段特征 (中心频率,调整功率,带宽).
混合设计的ANOVA和ANCOVA被用于分析数据,考虑组,横向化,头皮区域,性别和年龄.

主要成果:

与对照组相比,患有ADHD的儿童的指数显着较低,无论侧面化,头皮区域或性别.
在其他措施 (补偿,调整功率,带宽) 中,没有发现群体之间的显著差异.
阿尔法频段的中心频率随年龄增加;正面调整的功率与年龄呈正相关;性别和横向化影响了偏移和中心频率.

结论:

较低的神经指数是ADHD儿童的重要发现,表明其作为生物标志物的潜力.
年龄,性别,横向化和头皮区域是未来研究这些神经特征的重要因素.
这项研究提供了对儿童多动症神经支的见解,突出了特定的可量化的差异.

关键词:

一个无周期信号.注意力缺陷/多动症障碍注意力缺陷/多动症这是一个EEGEEGEEGEEGEEGEEGEEG.神经振荡的神经振荡

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Attention-Deficit/Hyperactivity Disorder

Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....

Oppositional Defiant Disorder

Oppositional Defiant Disorder

A persistent pattern of angry or irritable mood, defiant behavior, or vindictiveness characterizes Oppositional Defiant Disorder (ODD). Symptoms must occur over at least six months, involve interactions with individuals beyond siblings, and meet specific diagnostic criteria to be clinically significant. The disorder affects emotional regulation, social interactions, and behavior, often manifesting early in life and influencing long-term development and functioning.
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Brain Waves

Brain Waves

Brain waves are electrical signals generated by the neurons in the brain, which are regularly monitored to measure mental activities. Brain waves and their frequency ranges can be measured using an electroencephalogram or EEG. There are four main types of brain waves, each with distinct characteristics: