通过白物质高强度连接性评估提高认知表现预测:多中心损伤网络映射分析3485名记忆诊所患者
Marvin Petersen1, Mirthe Coenen2, Charles DeCarli3
1Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
medRxiv : the preprint server for health sciences
|April 8, 2024
概括
白质超强度 (WMH) 影响认知功能,但损伤网络映射 (LNM) 比单独的WMH体积更好地预测缺陷. LNM揭示了WMH如何破坏大脑网络,特别是注意力网络,为血管认知障碍提供了新的见解.
科学领域:
- 神经成像是一种神经成像.
- 认知神经科学 认知神经科学
- 脑血管疾病研究研究
背景情况:
- 白质超强度 (WMH) 与认知障碍有关,但仅仅是它们的数量并不能完全解释认知缺陷.
- 连接WMH与认知衰退的确切机制尚不清楚.
- 损伤网络映射 (LNM) 被提出作为一种技术,以了解损伤如何影响大脑网络连接.
结论:
- 与WMH相关的大脑网络连接的测量提高了与传统WMH体积分析相比,在记忆诊所患者的认知表现的预测.
- 网络效应,特别是在注意区域,对于理解血管对认知障碍的贡献至关重要.
- 将连接数据与WMH信息相结合,可以实现量身定制的干预措施,并识别有风险的患者子组.
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