Functional brain network modularity predicts response to cognitive training after brain injury

被引:113
作者
Arnemann, Katelyn L. [1 ,2 ,3 ]
Chen, Anthony J. -W. [1 ,2 ,3 ,4 ,5 ]
Novakovic-Agopian, Tatjana [1 ,4 ,5 ,6 ]
Gratton, Caterina [2 ,3 ]
Nomura, Emi M. [2 ,3 ]
D'Esposito, Mark [1 ,2 ,3 ,4 ]
机构
[1] Vet Adm Northern Calif Hlth Care Syst, Martinez, CA 94553 USA
[2] Univ Calif Berkeley, Helen Wills Neurosci Inst, Berkeley, CA 94720 USA
[3] Univ Calif Berkeley, Dept Psychol, Berkeley, CA 94720 USA
[4] Univ Calif San Francisco, Dept Neurol, San Francisco, CA USA
[5] Vet Adm Med Ctr, San Francisco, CA 94121 USA
[6] Calif Pacific Med Ctr, San Francisco, CA USA
关键词
CONNECTIVITY; ORGANIZATION; REHABILITATION; RECOVERY;
D O I
10.1212/WNL.0000000000001476
中图分类号
R74 [神经病学与精神病学];
学科分类号
100204 [神经病学];
摘要
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.
引用
收藏
页码:1568 / 1574
页数:7
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