Department of Electrical Engineering, Princeton University, Princeton, NJ 08544, USA.
Cereb Cortex. 2010 Jan;20(1):130-40. doi: 10.1093/cercor/bhp085.
Making conclusions about the functional neuroanatomical organization of the human brain requires methods for relating the functional anatomy of an individual's brain to population variability. We have developed a method for aligning the functional neuroanatomy of individual brains based on the patterns of neural activity that are elicited by viewing a movie. Instead of basing alignment on functionally defined areas, whose location is defined as the center of mass or the local maximum response, the alignment is based on patterns of response as they are distributed spatially both within and across cortical areas. The method is implemented in the two-dimensional manifold of an inflated, spherical cortical surface. The method, although developed using movie data, generalizes successfully to data obtained with another cognitive activation paradigm--viewing static images of objects and faces--and improves group statistics in that experiment as measured by a standard general linear model (GLM) analysis.
要对人类大脑的功能神经解剖组织得出结论,需要有一种将个体大脑的功能解剖与群体变异性相关联的方法。我们已经开发出一种基于观看电影时引发的神经活动模式来对个体大脑的功能神经解剖进行配准的方法。这种方法不是基于功能定义的区域进行配准,而是基于响应模式进行配准,这些模式在皮质区域内和跨皮质区域分布。该方法是在膨胀的球形皮质表面的二维流形上实现的。尽管该方法是使用电影数据开发的,但它成功地推广到了使用另一种认知激活范式(观看物体和面孔的静态图像)获得的数据,并通过标准的广义线性模型(GLM)分析改善了该实验中的组统计数据。