The network-based underpinnings of persisting symptoms after concussion: a multimodal neuroimaging meta-analysis
8.0
来源：
Nature
关键字：
neuromodulation
发布时间：
2025-09-23 23:30
摘要：
This study explores the neural underpinnings of persisting symptoms after concussion (PSaC) through a multimodal neuroimaging meta-analysis. It identifies the salience network as a critical area for potential neuromodulation therapies, suggesting that personalized treatment approaches targeting this network could enhance recovery outcomes. The findings underscore the importance of understanding network-level dysfunction in PSaC, offering insights for future therapeutic interventions.
原文：
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domain_focus
1.0分+1.0分
business_impact
0.5分+0.5分
scientific_rigor
1.5分+1.5分
timeliness_innovation
1.5分+1.5分
investment_perspective
2.5分+2.5分
market_value_relevance
1.0分+1.0分
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0.5分+0.5分
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1.0分+1.0分
关键证据
Identified the salience network as a core network disproportionately affected in PSaC.
Utilized a multimodal neuroimaging meta-analysis to explore network dysfunction.
Mapped potential cortical targets for neuromodulation based on connectivity profiles.
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AI评分总结
This study explores the neural underpinnings of persisting symptoms after concussion (PSaC) through a multimodal neuroimaging meta-analysis. It identifies the salience network as a critical area for potential neuromodulation therapies, suggesting that personalized treatment approaches targeting this network could enhance recovery outcomes. The findings underscore the importance of understanding network-level dysfunction in PSaC, offering insights for future therapeutic interventions.