Group-wise FMRI activation detection on corresponding cortical landmarks

Jinglei Lv, Dajiang Zhu, Xintao Hu, Xin Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Group-wise activation detection in task-based fMRI has been widely used because of its robustness to noises and statistical power to deal with variability of individual brains. However, current group-wise fMRI activation detection methods typically rely on the spatial alignment established by co-registration of individual brains' fMRI images into the same template space, which has difficulty in dealing with the remarkable anatomic variation of different brains. As a consequence, the resulted misalignment among multiple brains could substantially degrade the accuracy and specificity of group-wise fMRI activation detection. To address these challenges, this paper presents a novel methodology to detect group-wise fMRI activation based on a publicly released dense map of DTI-derived structural cortical landmarks, which possess intrinsic correspondences across individuals and populations. The basic idea here is that a first-level general linear model (GLM) analysis is performed on fMRI signals of each corresponding cortical landmark in each individual brain's own space, and then the single-subject effect size of the same landmark from a group of subjects are statistically integrated and assessed at the group level using the mixed-effects model. As a result, the consistently activated cortical landmarks are determined and declared group-wisely in response to external block-based stimuli. Our experimental results demonstrated that the proposed approach can map meaningful group-wise activation patterns on the atlas of cortical landmarks without image registration between subjects and spatial smoothing.

源语言英语
主期刊名Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
665-673
页数9
版本PART 2
DOI
出版状态已出版 - 2013
活动16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 - Nagoya, 日本
期限: 22 9月 201326 9月 2013

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号PART 2
8150 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
国家/地区日本
Nagoya
时期22/09/1326/09/13

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