足月新生儿静息态功能脑网络的基于图的脆弱性评估
Graph-based vulnerability assessment of resting-state functional brain networks in full-term neonates
AI总结：
该研究通过多尺度连接和图脆弱性分析揭示足月新生儿静息态功能脑网络具有富人俱乐部与小世界特性，并发现感觉运动等关键RC节点损伤会显著削弱网络整合。
摘要：
早期大脑发育过程中的网络中断可导致长期认知障碍。本研究采用多尺度连接分析，考察了足月新生儿静息态功能脑网络中的富人俱乐部组织。我们进一步识别了最具影响力的节点，即所谓的传播者，它们对整个网络中的信息流动具有更高的影响。还使用基于图的脆弱性分析评估了网络对静息态网络内部及之间富人俱乐部（RC）连接损伤的脆弱性。我们的结果揭示了足月新生儿静息态功能脑网络存在富人俱乐部组织和小世界拓扑，且与网络规模无关。功能性富人俱乐部枢纽主要通过短程连接相互联系，局限于感觉运动、认知-注意-突显（CAS）、默认模式和语言-听觉网络，其平均跨尺度重叠率分别为36%、20%、15%和12%。除CAS和颞叶网络中的若干非RC传播者外，大多数功能枢纽还表现出较高的传播潜力。功能网络对感觉运动皮层内RC节点丧失表现出高脆弱性，分别导致网络分离度显著增加和整合度显著降低。网络对语言-听觉、认知-注意-突显和默认模式网络内RC节点损伤的脆弱性也显著，但相对不那么突出。我们的发现表明，由于大脑不成熟，新生儿网络整合可能因RC连接损伤而受到严重损害。
英文摘要：
Network disruption during early brain development can result in long-term cognitive impairments. In this study, we investigated rich-club organization in resting-state functional brain networks in full-term neonates using a multiscale connectivity analysis. We further identified the most influential nodes, also called spreaders, having higher impacts on the flow of information throughout the network. The network vulnerability to damage to rich-club (RC) connectivity within and between resting-state networks was also assessed using a graph-based vulnerability analysis. Our results revealed a rich club organization and small-world topology for resting-state functional brain networks in full term neonates, regardless of the network size. Interconnected mostly through short-range connections, functional rich-club hubs were confined to sensory-motor, cognitive-attention-salience (CAS), default mode, and language-auditory networks with an average cross-scale overlap of 36%, 20%, 15% and 12%, respectively. The majority of the functional hubs also showed high spreading potential, except for several non-RC spreaders within CAS and temporal networks. The functional networks exhibited high vulnerability to loss of RC nodes within sensorimotor cortices, resulting in a significant increase and decrease in network segregation and integration, respectively. The network vulnerability to damage to RC nodes within the language-auditory, cognitive-attention-salience, and default mode networks was also significant but relatively less prominent. Our findings suggest that the network integration in neonates can be highly compromised by damage to RC connectivity due to brain immaturity.
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