Department of Psychiatry, Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.
Department of Psychology, Bucknell University, Lewisburg, Pennsylvania, USA.
Brain Connect. 2021 May;11(4):253-263. doi: 10.1089/brain.2020.0865. Epub 2021 Feb 18.
Functional magnetic resonance imaging (fMRI) has been widely used to examine the relationships between brain function and phenotypic features in neurodevelopmental disorders. Techniques such as resting-state functional connectivity (FC) have enabled the identification of the primary networks of the brain. One fMRI network, in particular, the default mode network (DMN), has been implicated in social-cognitive deficits in autism spectrum disorders (ASD) and attentional deficits in attention deficit hyperactivity disorder (ADHD). Given the significant clinical and genetic overlap between ASD and ADHD, surprisingly, no reviews have compared the clinical, developmental, and genetic correlates of DMN in ASD and ADHD and here we address this knowledge gap. We find that, compared with matched controls, ASD studies show a mixed pattern of both stronger and weaker FC in the DMN and ADHD studies mostly show stronger FC. Factors such as age, intelligence quotient, medication status, and heredity affect DMN FC in both ASD and ADHD. We also note that most DMN studies make ASD versus ADHD group comparisons and fail to consider ASD+ADHD comorbidity. We conclude, by identifying areas for improvement and by discussing the importance of using transdiagnostic approaches such as the Research Domain Criteria (RDoC) to fully account for the phenotypic and genotypic heterogeneity and overlap of ASD and ADHD.
功能磁共振成像(fMRI)已被广泛用于研究神经发育障碍中大脑功能与表型特征之间的关系。静息态功能连接(FC)等技术能够识别大脑的主要网络。特别是,一个 fMRI 网络,即默认模式网络(DMN),与自闭症谱系障碍(ASD)的社会认知缺陷和注意力缺陷多动障碍(ADHD)的注意力缺陷有关。鉴于 ASD 和 ADHD 之间存在显著的临床和遗传重叠,令人惊讶的是,没有综述比较过 ASD 和 ADHD 中 DMN 的临床、发育和遗传相关性,而在这里我们解决了这一知识空白。我们发现,与匹配的对照组相比,ASD 研究显示 DMN 中的 FC 既有增强也有减弱的混合模式,而 ADHD 研究则主要显示 FC 增强。年龄、智商、药物状态和遗传等因素都会影响 ASD 和 ADHD 中的 DMN FC。我们还注意到,大多数 DMN 研究进行了 ASD 与 ADHD 的组间比较,而没有考虑到 ASD+ADHD 的共病情况。我们通过确定需要改进的领域,并讨论了使用跨诊断方法(如研究领域标准(RDoC))的重要性,来充分解释 ASD 和 ADHD 的表型和基因型异质性和重叠。