Evaluation and statistical inference for human connectomes.

Evaluation and statistical inference for human connectomes.
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DOI:
10.1038/nmeth.3098
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发表时间:
2014-10
期刊:
影响因子:
48
通讯作者:
Wandell, Brian A.
Wandell, Brian A.
中科院分区:
生物学1区
文献类型:
--
作者:
Pestilli, Franco;Yeatman, Jason D.;Rokem, Ariel;Kay, Kendrick N.;Wandell, Brian A.

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Diffusion-weighted imaging coupled with tractography is the only method for in vivo mapping of human white-matter fascicles. Tractography takes diffusion measurements as input and produces a large collection of white-matter fascicles as output; the connectome. We introduce a method to evaluate the evidence supporting connectomes. Linear Fascicle Evaluation (LiFE) takes any connectome as input and predicts diffusion measurements as output, using the difference between the measured and predicted diffusion signals to measure prediction error. Finally, we introduce two metrics that use the prediction error to evaluate the evidence supporting properties of the connectome. One metric compares the mean prediction error between alternative hypotheses, and the second metric compares full distributions of prediction error. We use these metrics to (1) compare tractography algorithms, and (2) test hypotheses about tracts and connections.
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