Function-based Intersubject Alignment of Human Cortical Anatomy

被引:124
作者
Sabuncu, Mert R. [1 ,7 ]
Singer, Benjamin D. [2 ]
Conroy, Bryan [7 ]
Bryan, Ronald E. [3 ,4 ]
Ramadge, Peter J. [7 ]
Haxby, James V. [3 ,5 ,6 ]
机构
[1] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02138 USA
[2] Princeton Univ, Princeton Neurosci Inst, Princeton, NJ 08544 USA
[3] Princeton Univ, Dept Psychol, Princeton, NJ 08544 USA
[4] CALTECH, Div Biol, Pasadena, CA 91125 USA
[5] Dartmouth Coll, Ctr Cognit Neurosci, Hanover, NH 03755 USA
[6] Dartmouth Coll, Dept Psychol & Brain Sci, Hanover, NH 03755 USA
[7] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
关键词
between-subject alignment; fMRI; human cortex; neuroimaging; HUMAN BRAIN; PROBABILISTIC ATLAS; VISUAL AREAS; FACE; REPRESENTATION; ORIENTATION; OBJECTS; ORGANIZATION; RECOGNITION; SYSTEMS;
D O I
10.1093/cercor/bhp085
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:130 / 140
页数:11
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