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首页> 外文期刊>Lancet Neurology >Assessment of system dysfunction in the brain through MRI-based connectomics
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Assessment of system dysfunction in the brain through MRI-based connectomics

机译:通过基于MRI的连接组学评估大脑中的系统功能障碍

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摘要

Network-based analysis of structural and functional connections has provided a new technique to study the brains of healthy people and patients with neurological and psychiatric disorders. Graph theory provides a powerful method to quantitatively describe the topological organisation of brain connectivity. With such a framework, the brain can be depicted as a set of nodes connected by edges. Distinct modifications of network topological organisation in the brain have been identified during development and normal ageing, whereas disrupted functional and structural connectivities have been associated with several neurological and psychiatric disorders, including dementia, amyotrophic lateral sclerosis, multiple sclerosis, and schizophrenia. These assessments have improved understanding of the clinical manifestations noted in these patients, including disability and cognitive impairment. Future network-based research might enable indentification of different stages of disorders, subtypes for cognitive impairment, and connectivity profiles associated with different clinical outcomes.
机译:基于网络的结构和功能连接分析提供了一种新技术,可以研究健康人以及患有神经和精神疾病的患者的大脑。图论提供了一种强大的方法来定量描述大脑连接的拓扑结构。有了这样的框架,大脑可以描述为一组由边缘连接的节点。在发育和正常老龄化过程中,已经确定了大脑中网络拓扑结构的明显改变,而功能和结构的连接性受损已与多种神经和精神疾病相关,包括痴呆,肌萎缩性侧索硬化,多发性硬化和精神分裂症。这些评估使人们更好地了解了这些患者中提到的临床表现,包括残疾和认知障碍。未来基于网络的研究可能会识别出疾病的不同阶段,认知障碍的亚型以及与不同临床结果相关的连通性。

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