更高的采样率(多频带+SENSE)是否能改善组统计-来自 3T 下社会神经科学块设计的一个例子。

Does higher sampling rate (multiband + SENSE) improve group statistics - An example from social neuroscience block design at 3T.

机构信息

Netherlands Institute for Neuroscience, KNAW, Amsterdam, the Netherlands.

Center for Cognitive Neuroscience, Free University, Berlin, Germany; Max Plank Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

出版信息

Neuroimage. 2020 Jun;213:116731. doi: 10.1016/j.neuroimage.2020.116731. Epub 2020 Mar 12.

Abstract

Multiband (MB) or Simultaneous multi-slice (SMS) acquisition schemes allow the acquisition of MRI signals from more than one spatial coordinate at a time. Commercial availability has brought this technique within the reach of many neuroscientists and psychologists. Most early evaluation of the performance of MB acquisition employed resting state fMRI or the most basic tasks. In this study, we tested whether the advantages of using MB acquisition schemes generalize to group analyses using a cognitive task more representative of typical cognitive neuroscience applications. Twenty-three subjects were scanned on a Philips 3 ​T scanner using five sequences, up to eight-fold acceleration with MB-factors 1 to 4, SENSE factors up to 2 and corresponding TRs of 2.45s down to 0.63s, while they viewed (i) movie blocks showing complex actions with hand object interactions and (ii) control movie blocks without hand object interaction. Data were processed using a widely used analysis pipeline implemented in SPM12 including the unified segmentation and canonical HRF modelling. Using random effects group-level, voxel-wise analysis we found that all sequences were able to detect the basic action observation network known to be recruited by our task. The highest t-values were found for sequences with MB4 acceleration. For the MB1 sequence, a 50% bigger voxel volume was needed to reach comparable t-statistics. The group-level t-values for resting state networks (RSNs) were also highest for MB4 sequences. Here the MB1 sequence with larger voxel size did not perform comparable to the MB4 sequence. Altogether, we can thus recommend the use of MB4 (and SENSE 1.5 or 2) on a Philips scanner when aiming to perform group-level analyses using cognitive block design fMRI tasks and voxel sizes in the range of cortical thickness (e.g. 2.7 ​mm isotropic). While results will not be dramatically changed by the use of multiband, our results suggest that MB will bring a moderate but significant benefit.

摘要

多带宽(MB)或同时多层(SMS)采集方案允许一次从多个空间坐标采集 MRI 信号。商业可用性使许多神经科学家和心理学家都能使用这种技术。早期对 MB 采集性能的评估大多采用静息态 fMRI 或最基本的任务。在这项研究中,我们使用更能代表典型认知神经科学应用的认知任务来测试使用 MB 采集方案的优势是否可以推广到组分析。23 名受试者在飞利浦 3T 扫描仪上使用五种序列进行扫描,使用 MB 因子 1 到 4、SENSE 因子高达 2 和相应的 TR 从 2.45s 降低到 0.63s,同时他们观看(i)显示手部与物体相互作用的复杂动作的电影块和(ii)没有手部与物体相互作用的对照电影块。数据使用广泛使用的 SPM12 分析管道进行处理,包括统一分割和规范 HRF 建模。使用随机效应组水平、体素水平分析,我们发现所有序列都能够检测到已知被我们任务招募的基本动作观察网络。具有 MB4 加速的序列的 t 值最高。对于 MB1 序列,需要增加 50%的体素体积才能达到可比的 t 统计值。MB4 序列的静息态网络(RSN)的组水平 t 值也最高。这里,具有较大体素大小的 MB1 序列的性能与 MB4 序列不相当。总之,当我们旨在使用认知块设计 fMRI 任务和皮质厚度范围内的体素大小(例如 2.7mm 各向同性)进行组水平分析时,我们可以推荐在飞利浦扫描仪上使用 MB4(和 SENSE 1.5 或 2)。虽然使用多带会带来一些变化,但我们的结果表明 MB 将带来适度但显著的收益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a3a/7181191/062edcdc3407/gr1.jpg

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