Graph analysis of functional brain networks for cognitive control of action in traumatic brain injury

Graph analysis of functional brain networks for cognitive control of action in traumatic brain injury
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DOI:
10.1093/brain/aws048
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发表时间:
2012-04-01
期刊:
影响因子:
14.5
通讯作者:
Swinnen, Stephan P.
Swinnen, Stephan P.
中科院分区:
医学1区
文献类型:
--
作者:
Caeyenberghs, Karen;Leemans, Alexander;Swinnen, Stephan P.

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创伤性脑损伤患者在行为灵活性和抑制方面表现出明显的障碍,这些障碍往往持续到受伤后,影响独立生活和心理社会功能。功能性磁共振成像研究表明,创伤性脑损伤患者在执行认知控制任务时,额叶和顶叶的活动通常会增加,并且分布更广。我们构建了二元和加权功能网络,并使用图论方法计算了它们的拓扑性质。23名患有创伤性脑损伤的成年人和26名年龄匹配的对照组被要求在事件相关功能磁共振成像期间在协调模式之间切换,同时用摇杆进行空间和时间耦合的圆周运动。结果表明,与对照组相比,创伤性脑损伤患者的开关性能显着降低。此外,虽然两组的大脑网络都表现出经济的小世界拓扑结构,但在创伤性脑损伤患者中表现出功能连接的改变。特别是,与对照组相比,创伤性脑损伤患者表现出更高的连接程度和强度,以及更高的局部效率值,这表明该组的适应机制。最后,连接性增加的程度与转换任务表现较差和脑损伤更严重显著相关。我们的结论是,分析功能性大脑网络连接提供了新的见解,了解脑损伤后的认知控制变化。
Patients with traumatic brain injury show clear impairments in behavioural flexibility and inhibition that often persist beyond the time of injury, affecting independent living and psychosocial functioning. Functional magnetic resonance imaging studies have shown that patients with traumatic brain injury typically show increased and more broadly dispersed frontal and parietal activity during performance of cognitive control tasks. We constructed binary and weighted functional networks and calculated their topological properties using a graph theoretical approach. Twenty-three adults with traumatic brain injury and 26 age-matched controls were instructed to switch between coordination modes while making spatially and temporally coupled circular motions with joysticks during event-related functional magnetic resonance imaging. Results demonstrated that switching performance was significantly lower in patients with traumatic brain injury compared with control subjects. Furthermore, although brain networks of both groups exhibited economical small-world topology, altered functional connectivity was demonstrated in patients with traumatic brain injury. In particular, compared with controls, patients with traumatic brain injury showed increased connectivity degree and strength, and higher values of local efficiency, suggesting adaptive mechanisms in this group. Finally, the degree of increased connectivity was significantly correlated with poorer switching task performance and more severe brain injury. We conclude that analysing the functional brain network connectivity provides new insights into understanding cognitive control changes following brain injury.