Functional brain network modularity predicts response to cognitive training after brain injury
Functional brain network modularity predicts response to cognitive training after brain injury
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DOI：
10.1212/wnl.0000000000001476
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发表时间：
2015-04-14
期刊：
影响因子：
9.9
通讯作者：
D'Esposito, Mark
中科院分区：
文献类型：
--
作者：
Arnemann, Katelyn L.;Chen, Anthony J. -W.;D'Esposito, Mark
目的：我们测试了测量模块化的价值，模块化是一种图论度量指标，用于衡量分布式脑功能网络的整合和分离的相对程度，以预测脑损伤患者对认知训练反应的个体差异。方法：11例获得性脑损伤患者，采用交叉干预研究设计，接受为期5周的认知训练和比较条件（短暂教育）。在干预条件之前，通过fMRI扫描测量的强直注意调节状态下的功能连接网络，我们量化了功能性脑网络组织和模块化的测量。我们检查了基线模块性与训练前后注意和执行控制的神经心理测量变化的关系。结果：基线时大脑网络组织的模块化预测认知训练后注意力和执行功能的改善，而对比干预后则没有。基线模块化程度较高的个体在认知训练中表现出更大的改善，这表明更模块化的基线网络状态可能有助于对认知训练的更大适应。结论：脑网络特性，如模块性，为理解影响脑损伤后认知功能康复的机制提供了有价值的信息，并可能有助于发现临床相关的生物标志物，指导康复工作。
Objective: We tested the value of measuring modularity, a graph theory metric indexing the relative extent of integration and segregation of distributed functional brain networks, for predicting individual differences in response to cognitive training in patients with brain injury.Methods: Patients with acquired brain injury (n = 11) participated in 5 weeks of cognitive training and a comparison condition (brief education) in a crossover intervention study design. We quantified the measure of functional brain network organization, modularity, from functional connectivity networks during a state of tonic attention regulation measured during fMRI scanning before the intervention conditions. We examined the relationship of baseline modularity with pre- to posttraining changes in neuropsychological measures of attention and executive control.Results: The modularity of brain network organization at baseline predicted improvement in attention and executive function after cognitive training, but not after the comparison intervention. Individuals with higher baseline modularity exhibited greater improvements with cognitive training, suggesting that a more modular baseline network state may contribute to greater adaptation in response to cognitive training.Conclusions: Brain network properties such as modularity provide valuable information for understanding mechanisms that influence rehabilitation of cognitive function after brain injury, and may contribute to the discovery of clinically relevant biomarkers that could guide rehabilitation efforts.