在青少年个性化功能网络拓中,可重现的性别差异
Arielle S Keller1,2, Kevin Y Sun3,4,5, Ashley Francisco3,5
1Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut, USA.
概括
大脑功能网络组织中的性别差异在青春期出现. 这些在男性和女性个性化功能网络 (PFN) 中的独特模式可能有助于解释女性焦虑和抑郁的更高率.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 精神病学是一个精神病学.
背景情况:
- 了解性别特异性精神疾病需要检查从童年到青春期的大脑组织的变化.
- 功能性大脑网络空间组织的个体差异与精神病理学有关,并因性别而异.
研究的目的:
- 评估性对青少年个体特异性功能性脑网络空间组织的影响.
主要方法:
- 利用了来自6,437名青少年的个人特异性功能性大脑网络图谱 (青少年大脑认知发展研究).
- 采用了通用添加模型来分析基于性别的关联与个性化功能网络 (PFN) 地形.
- 训练有素的支向量机器根据PFN拓图案对性别进行分类.
主要成果:
- 在PFN地形上观察到显著的性别差异,特别是在协会网络中 (面对面的,腹部的注意力,默认模式).
- 机器学习模型使用PFN地形数据准确地分类了参与者的性别.
结论:
- 在PFN地形上的性别差异是强大的,并且可以在大量的年轻人样本中复制.
- 这些发现表明,青春期女性抑郁和焦虑风险增加的潜在神经生物学基础.
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