Yu Lili, Sun Lubing, Yue Xipeng, Wang Yuesu, Chen Chuanliang
Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China.
Department of Radiology, Zhengzhou University People's Hospital and Henan Provincial People's Hospital, Zhengzhou, China; Tianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Res Dev Disabil. 2025 Sep;164:105081. doi: 10.1016/j.ridd.2025.105081. Epub 2025 Jul 26.
The clinical distinction between ASD and ADHD poses significant diagnostic challenges due to their symptomatic similarities. To address this issue, we systematically examined functional brain differences between these disorders.
By combining amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo) resting-state fMRI metrics, this study provides a more robust neurofunctional characterization of ASD and ADHD. Using resting-state fMRI, we compared ALFF and ReHo among four groups: 28 ASD-only participants, 29 typically developing controls matched to ASD participants (TD(ASD)), 28 ADHD-only participants, 30 typically developing controls matched to ADHD participants (TD(ADHD)). These analyses quantified region-specific neural activity intensity and local synchronization to identify disorder-specific functional patterns.
Compared to TD(ASD) controls, the ASD group exhibited significantly elevated ALFF and ReHo in the anterior cingulate gyrus (ACG) and right precentral gyrus (PreCG) (p < 0.05, GRF-corrected). In contrast, no significant differences were observed between ADHD and TD(ADHD) groups. Direct ASD-ADHD comparisons revealed: Increased ALFF in the right PreCG and decreased ALFF in the left fusiform gyrus (FG); Elevated ReHo in the right middle occipital gyrus (MOG) in ASD (p < 0.05, GRF-corrected).
The distinct ALFF and ReHo patterns observed between ASD and ADHD provide compelling neurobiological evidence for their divergent neural mechanisms. These disorder-specific functional signatures, particularly in the anterior cingulate and occipito-frontal circuits, may guide future neuromodulation research and eventually contribute to refining differential diagnostic frameworks in clinical practice.
由于自闭症谱系障碍(ASD)和注意力缺陷多动障碍(ADHD)在症状上有相似之处,它们之间的临床区分带来了重大的诊断挑战。为解决这一问题,我们系统地研究了这两种疾病之间的大脑功能差异。
本研究通过结合低频振幅(ALFF)和局部一致性(ReHo)静息态功能磁共振成像指标,对ASD和ADHD进行了更可靠的神经功能特征描述。利用静息态功能磁共振成像,我们比较了四组的ALFF和ReHo:28名仅患ASD的参与者、29名与ASD参与者匹配的正常发育对照(TD(ASD))、28名仅患ADHD的参与者、30名与ADHD参与者匹配的正常发育对照(TD(ADHD))。这些分析量化了特定区域的神经活动强度和局部同步性,以识别疾病特异性的功能模式。
与TD(ASD)对照组相比,ASD组在前扣带回(ACG)和右侧中央前回(PreCG)的ALFF和ReHo显著升高(p < 0.05,高斯随机场校正)。相比之下,ADHD组和TD(ADHD)组之间未观察到显著差异。ASD与ADHD的直接比较显示:右侧PreCG的ALFF增加,左侧梭状回(FG)的ALFF减少;ASD组右侧枕中回(MOG)的ReHo升高(p < 0.05,高斯随机场校正)。
在ASD和ADHD之间观察到的不同ALFF和ReHo模式为它们不同的神经机制提供了令人信服的神经生物学证据。这些疾病特异性的功能特征,特别是在前扣带回和枕额回路中,可能会指导未来的神经调节研究,并最终有助于完善临床实践中的鉴别诊断框架。