BAYESIAN FUNCTIONAL REGISTRATION OF FMRI ACTIVATION MAPS.

IF 1.3 4区 数学 Q2 STATISTICS & PROBABILITY Annals of Applied Statistics Pub Date : 2022-09-01 Epub Date: 2022-07-19 DOI:10.1214/21-aoas1562
Guoqing Wang, Abhirup Datta, Martin A Lindquist
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Abstract

Functional magnetic resonance imaging (fMRI) has provided invaluable insight into our understanding of human behavior. However, large inter-individual differences in both brain anatomy and functional localization after anatomical alignment remain a major limitation in conducting group analyses and performing population level inference. This paper addresses this problem by developing and validating a new computational technique for reducing misalignment across individuals in functional brain systems by spatially transforming each subjects functional data to a common reference map. Our proposed Bayesian functional registration approach allows us to assess differences in brain function across subjects and individual differences in activation topology. It combines intensity-based and feature-based information into an integrated framework, and allows inference to be performed on the transformation via the posterior samples. We evaluate the method in a simulation study and apply it to data from a study of thermal pain. We find that the proposed approach provides increased sensitivity for group-level inference.

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FMRI 激活图的贝叶斯功能配准。
功能磁共振成像(fMRI)为我们了解人类行为提供了宝贵的洞察力。然而,解剖配准后大脑解剖和功能定位方面的巨大个体间差异仍然是进行群体分析和群体推断的主要限制因素。本文针对这一问题,开发并验证了一种新的计算技术,通过将每个受试者的功能数据空间转换到一个共同的参考图,减少大脑功能系统中的个体间错位。我们提出的贝叶斯功能配准方法允许我们评估不同受试者大脑功能的差异以及激活拓扑的个体差异。它将基于强度的信息和基于特征的信息整合到一个综合框架中,并允许通过后验样本对转换进行推断。我们在一项模拟研究中对该方法进行了评估,并将其应用于一项热痛研究的数据中。我们发现,所提出的方法提高了组级推断的灵敏度。
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来源期刊
Annals of Applied Statistics
Annals of Applied Statistics 社会科学-统计学与概率论
CiteScore
3.10
自引率
5.60%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics, the newest journal from the IMS, is aimed at papers in the applied half of this range. Published quarterly in both print and electronic form, our goal is to provide a timely and unified forum for all areas of applied statistics.
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