Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia

Comparing surface-based and volume-based analyses of functional neuroimaging data in patients with schizophrenia
复制标题

DOI:
10.1016/j.neuroimage.2008.02.052
复制
发表时间:
2008-07-01
期刊:
影响因子:
5.7
通讯作者:
Barch, Deanna M.
Barch, Deanna M.
中科院分区:
医学1区
文献类型:
--
作者:
Anticevic, Alan;Dierker, Donna L.;Barch, Deanna M.

文献摘要

被引文献

相似文献

功能神经成像的一大挑战是如何应对皮质结构和功能的个体差异。大多数皮质功能分析使用仿射或低维非线性容积配准(VBR)将单个受试者配准到图谱上,但这种方法并没有明确考虑皮质褶皱的几何形状,因此无法弥补变异性。一种有前途的替代方法是使用基于表面的配准(SBR),它利用了单个受试者皮质折叠模式的明确表面表征。在本研究中,我们直接比较了 SBR 和仿射 VBR 在健康对照组和精神分裂症(SCZ)患者工作记忆研究中的结果。我们将 fMRI 数据直接映射到单个皮层表面模型上,并使用地标约束 SBR 将每个半球注册到人群平均 PALS-B12 图集中。与 VBR 相比,SBR 的皮质沟配准精度要高得多。SBR 对整个皮层的配准精度更高,这种优势在精神分裂症患者中更为明显。我们证明,表面的空间平滑比体积域中同等程度的平滑能提供更好的分辨率和信号保存。最后,在工作记忆任务中,SBR 的功能激活统计能力比 VBR 更大。这些结果表明,在分析皮层 fMRI 激活时,SBR 比仿射 VBR 具有显著优势。此外,对于伴有结构异常的疾病,SBR 的优势会更大。(C) 2008 Elsevier Inc.保留所有权利。
A major challenge in functional neuroimaging is to cope with individual variability in cortical structure and function. Most analyses of cortical function compensate for variability using affine or low-dimensional nonlinear volume-based registration (VBR) of individual subjects to an atlas, which does not explicitly take into account the geometry of cortical convolutions. A promising alternative is to use surface-based registration (SBR), which capitalizes on explicit surface representations of cortical folding patterns in individual subjects. In this study, we directly compare results from SBR and affine VBR in a study of working memory in healthy controls and patients with schizophrenia (SCZ). Each subject's structural scan was used for cortical surface reconstruction using the SureFit method. fMRI data were mapped directly onto individual cortical surface models, and each hemisphere was registered to the population-average PALS-B12 atlas using landmark-constrained SBR. The precision with which cortical sulci were aligned was much greater for SBR than VBR. SBR produced superior alignment precision across the entire cortex, and this benefit was greater in patients with schizophrenia. We demonstrate that spatial smoothing on the surface provides better resolution and signal preservation than a comparable degree of smoothing in the volume domain. Lastly, the statistical power of functional activation in the working memory task was greater for SBR than for VBR. These results indicate that SBR provides significant advantages over affine VBR when analyzing cortical fMRI activations. Furthermore, these improvements can be even greater in disorders that have associated structural abnormalities. (C) 2008 Elsevier Inc. All rights reserved.