Parietal hyper-connectivity, aberrant brain organization, and circuit-based biomarkers in children with mathematical disabilities.
Parietal hyper-connectivity, aberrant brain organization, and circuit-based biomarkers in children with mathematical disabilities.
复制标题
顶端超连接性，异常大脑组织和基于电路的生物标志物在数学残疾儿童中。
DOI：
10.1111/desc.12399
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发表时间：
2016-07
影响因子：
3.7
通讯作者：
Menon V
中科院分区：
文献类型：
--
作者：
Jolles D;Ashkenazi S;Kochalka J;Evans T;Richardson J;Rosenberg-Lee M;Zhao H;Supekar K;Chen T;Menon V
数学障碍（MD）对职业成功、就业和健康结果有着终身的负面影响。然而，人们对导致受影响儿童数学技能低下的内在功能性大脑组织知之甚少。现在越来越多的人认识到，数学认知需要在顶内沟（IPS）中锚定的大规模额顶叶网络内协调互动。在这里，我们的特点内在的功能连接在这个IPS网络中的儿童MD，相对于一组典型的发展（TD）的儿童谁是年龄，性别，智商，工作记忆和阅读能力相匹配。与TD儿童相比，MD儿童IPS与双侧额顶叶网络的连接性更强。重要的是，异常的IPS连接模式准确地区分了MD和TD儿童，突出了使用IPS连接作为MD的基于大脑的生物标志物的可能性。为了进一步研究导致MD儿童网络水平缺陷的区域异常，我们对固有低频波动进行了全脑分析。值得注意的是，患有MD的儿童在多个额顶叶区域表现出更高的低频波动，这些区域与IPS表现出超连接的大脑区域重叠。总之，我们的研究结果表明，MD在儿童的特点是强大的网络水平的畸变，并不是一个孤立的功能障碍的IPS。我们假设，内在的超连接和增强的低频波动可能会限制灵活的资源分配，并有助于异常招聘的任务相关的大脑区域在解决数字问题的儿童MD。
Mathematical disabilities (MD) have a negative life-long impact on professional success, employment, and health outcomes. Yet, little is known about the intrinsic functional brain organization that contributes to poor math skills in affected children. It is now increasingly recognized that math cognition requires coordinated interaction within a large-scale fronto-parietal network anchored in the intraparietal sulcus (IPS). Here we characterize intrinsic functional connectivity within this IPS-network in children with MD, relative to a group of typically developing (TD) children who were matched on age, gender, IQ, working memory, and reading abilities. Compared to TD children, children with MD showed hyper-connectivity of the IPS with a bilateral fronto-parietal network. Importantly, aberrant IPS connectivity patterns accurately discriminated children with MD and TD children, highlighting the possibility for using IPS connectivity as a brain-based biomarker of MD. To further investigate regional abnormalities contributing to network-level deficits in children with MD, we performed whole-brain analyses of intrinsic low-frequency fluctuations. Notably, children with MD showed higher low-frequency fluctuations in multiple fronto-parietal areas that overlapped with brain regions that exhibited hyper-connectivity with the IPS. Taken together, our findings suggest that MD in children is characterized by robust network-level aberrations, and is not an isolated dysfunction of the IPS. We hypothesize that intrinsic hyper-connectivity and enhanced low-frequency fluctuations may limit flexible resource allocation, and contribute to aberrant recruitment of task-related brain regions during numerical problem solving in children with MD.