利用静息状态 fNIRS 比较中国儿童中未用药多动症合并症与非合并症的脑功能。

IF 1.3 Q3 PSYCHIATRY
Wenjing Liao, Haimei Li, Qinwei Liu, Longfei Cao, Lingli Leng, Jie Yu, Ningning Liu, Qiujin Qian, Guannan Bai
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引用次数: 0

摘要

研究背景本研究使用功能性近红外光谱(fNIRS)来研究有或无其他合并症的注意缺陷多动障碍(ADHD)儿童的大脑激活模式,以通过神经影像学识别与疾病相关的生物标志物,从而有助于做出诊断决定:本研究招募了165名7至15岁未接受药物治疗的儿童,并将其分为四组:多动症、多动症伴学习障碍(ADHD&LD)、多动症伴对立违抗障碍(ADHD&ODD)和健康对照组。研究人员使用多通道 fNIRS 系统监测大脑前额叶和颞叶在静止状态下的血流动力学变化。低频波动(ALFF)矩阵的振幅是通过对信号功率谱的平方根进行求和与平均计算得出的。采用单因素方差分析确定不同通道之间的统计差异:结果:与健康对照组相比,所有多动症儿童不同脑区的 ALFF 值都明显较高。ADHD&LD患者在内侧前额叶皮层(P Ch38 = .01,P Ch48 = .01)、颞叶皮层(P Ch22 = .04,P Ch41 = .002,P Ch51 = .001)和左侧外侧前额叶皮层(P Ch39 = .0009,P Ch50 = .001)表现出更高的ALFF值,而ADHD&ODD儿童与被诊断为ADHD的儿童没有明显差异:结论:ADHD伴学习障碍(LD)的发病机制与ADHD不同,表现为内侧前额叶皮层、颞叶皮层和左侧腹外侧前额叶皮层的大脑功能活动较低,而ADHD&ODD与ADHD相比没有明显变化。与 ODD 相关的症状可能是 ADHD 症状的一部分,而不是一种独立的疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Brain Function Between Medication-Naïve ADHD with and without Comorbidity in Chinese Children Using Resting-State fNIRS.

Background: This study used functional near-infrared spectroscopy (fNIRS) to investigate brain activation patterns in children with attention deficit hyperactivity disorder (ADHD) with and without additional comorbidities to identify disease-related biomarkers by the neuroimaging that will facilitate to make a diagnosis decision.

Methods: In this study, 165 medication-naive children aged 7 to 15 years were recruited and categorized into four groups: ADHD, ADHD with learning disabilities (ADHD&LD), ADHD with oppositional defiant disorder (ADHD&ODD), and healthy controls. A multichannel fNIRS system was used to monitor hemodynamic changes at rest state in the prefrontal and temporal lobes of the brain. The amplitude of a low-frequency fluctuation (ALFF) matrix was calculated by summation and averaging of the square root of the signal power spectrum. One-way analysis of variance was used to identify statistical differences between channels.

Results: All ADHD children presented significantly higher ALFF values in different brain regions when compared with the healthy controls. Patients with ADHD&LD exhibited higher ALFF values in the medial prefrontal cortex (P Ch38 = .01, P Ch48 = .01), temporal cortex (P Ch22 = .04, P Ch41 = .002, P Ch51 = .001), and the left ventrolateral prefrontal cortex (P Ch39 = .0009, P Ch50 = .001), whereas ADHD&ODD children were not significantly different to those diagnosed with ADHD.

Conclusions: ADHD with learning disabilities (LD) possessed a different pathogenesis from ADHD, manifested as lower functional brain activity in the medial prefrontal cortex, temporal cortex, and the left ventrolateral prefrontal cortex, while ADHD&ODD did not present significant changes compared with ADHD. ODD-related symptoms may be part of ADHD symptoms rather than being an independent disorder.

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