精确的神经多样性:个性化大脑网络架构作为对认知可变性的窗口
Suleiman Ibrahim Mohammad1,2, Eman Raeed Azzam3, Asokan Vasudevan4,5
1Electronic Marketing and Social Media, Economic and Administrative Sciences Zarqa University, Zarqa, Jordan.
Frontiers in human neuroscience
|November 28, 2025
概括
精确的神经多样性将焦点转移到个性化大脑网络,揭示了适应性神经变异. 个体大脑网络概况预测认知和行为特征,使得针对神经发育状况进行量身定制的干预.
科学领域:
- 神经科学是一个神经科学.
- 个性化医疗是个性化的医疗.
- 人工智能的人工智能
背景情况:
- 神经多样性从病理转变为适应性变异.
- 个性化大脑网络 (PBN) 架构是理解认知变异性的关键.
- 当前的诊断标准可能错过了不同的神经生物学子组.
研究的目的:
- 综合PBN架构的知识及其与认知可变性的联系.
- 探索在表征个体特异神经网络方面的进展.
- 讨论个性化神经多样性研究中的临床应用和挑战.
主要方法:
- 基于Connectome的预测建模.
- 规范性建模 规范性建模
- 动态指纹采集 动态指纹采集
- 机器学习和深度生成模型
主要成果:
- PBN 档案可靠地预测认知,行为和感官现象.
- 在ADHD和自闭症谱系障碍中确定了不同的神经生物学子组.
- 发现了耐老化生物标志物和对大脑连接性的遗传影响.
- 网络变性预测了执行职能,社会感知和感官处理.
结论:
- 个性化神经多样性为自闭症和ADHD等疾病提供了量身定制的干预措施.
- 挑战包括统计能力,可重复性,道德和社区参与.
- 整合神经成像,人工智能和个性化医疗,庆祝神经多样性.
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