人类大脑皮层的多模式分片
Matthew F Glasser1, Timothy S Coalson1, Emma C Robinson2,3
1Department of Neuroscience, Washington University Medical School, Saint Louis, Missouri 63110, USA.
Nature
|July 21, 2016
概括
研究人员通过使用先进的神经成像识别了每半球180个不同的皮质区域来绘制人类大脑皮质的地图. 一个新的机器学习工具准确地定位这些区域,
科学领域:
- 神经科学
- 神经解剖学
- 大脑映射
背景情况:
- 精确地将人类大脑皮层划分为不同的区域对于理解大脑功能至关重要.
- 定义皮层区域一直是神经科学的一个长期挑战.
研究的目的:
- 创建一个详细的,客观地图的皮质区域在人类的大脑.
- 开发一个机器学习分类器来自动识别这些领域.
主要方法:
- 利用了来自人类结合体项目 (HCP) 的多模态磁共振成像数据.
- 使用一个客观的,半自动的神经解剖学方法来划分每半球180个皮质区域.
- 在多模式数据上训练了一台机器学习分类器,以识别特定区域的"指纹".
主要成果:
- 在210名健康成年人中成功地划出了每半球180个皮质区域.
- 确定了97个新区域,并确认了之前报告的83个区域.
- 机器学习分类器在新受试者中检测皮质区域时达到96.6%的准确率,并复制了组分.
结论:
- 开发的分片和分类器为研究人类大脑皮层提供了更高的神经解剖学精度.
- 这些工具将促进对大脑组织,个体变异,发育,衰老和疾病的研究.
- 免费获取的资源使神经科学得到更广泛的科学应用和发展.
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