BAYESIAN FUNCTIONAL REGISTRATION OF FMRI ACTIVATION MAPS.
BAYESIAN FUNCTIONAL REGISTRATION OF FMRI ACTIVATION MAPS.
复制标题
DOI:
10.1214/21-aoas1562
复制
发表时间:
2022-09
期刊:
影响因子:
--
通讯作者:
中科院分区:
文献类型:
--
作者:
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.
登录
查看更多内容
影响因子:
5.7
作者:
Conroy, Bryan R.;Singer, Benjamin D.;Guntupalli, J. Swaroop;Ramadge, Peter J.;Haxby, James V.
通讯作者:
Haxby, James V.
DOI:
10.1109/34.121791
发表时间:
1992-02-01
影响因子:
23.6
作者:
BESL, PJ;MCKAY, ND
通讯作者:
MCKAY, ND
DOI:
10.1073/pnas.96.14.7705
发表时间:
1999-07-06
影响因子:
11.1
作者:
Bushnell, MC;Duncan, GH;Carrier, B
通讯作者:
Carrier, B
影响因子:
5.7
作者:
Duncan KJ;Pattamadilok C;Knierim I;Devlin JT
通讯作者:
Devlin JT
影响因子:
3.7
作者:
Datta A;Banerjee S;Finley AO;Gelfand AE
通讯作者:
Gelfand AE