McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal QC, H3A 2B4, Canada.
Center for Biomedical Technology, Universidad Politécnica de Madrid, 28223 Madrid, Spain.
Sci Data. 2018 Jun 19;5:180110. doi: 10.1038/sdata.2018.110.
We present a significant extension of the Brain Imaging Data Structure (BIDS) to support the specific aspects of magnetoencephalography (MEG) data. MEG measures brain activity with millisecond temporal resolution and unique source imaging capabilities. So far, BIDS was a solution to organise magnetic resonance imaging (MRI) data. The nature and acquisition parameters of MRI and MEG data are strongly dissimilar. Although there is no standard data format for MEG, we propose MEG-BIDS as a principled solution to store, organise, process and share the multidimensional data volumes produced by the modality. The standard also includes well-defined metadata, to facilitate future data harmonisation and sharing efforts. This responds to unmet needs from the multimodal neuroimaging community and paves the way to further integration of other techniques in electrophysiology. MEG-BIDS builds on MRI-BIDS, extending BIDS to a multimodal data structure. We feature several data-analytics software that have adopted MEG-BIDS, and a diverse sample of open MEG-BIDS data resources available to everyone.
我们对 Brain Imaging Data Structure(BIDS)进行了重要扩展,以支持脑磁图(MEG)数据的特定方面。MEG 以毫秒级的时间分辨率测量大脑活动,并具有独特的源成像功能。到目前为止,BIDS 是一种用于组织磁共振成像(MRI)数据的解决方案。MRI 和 MEG 数据的性质和采集参数有很大的不同。尽管 MEG 没有标准的数据格式,但我们提出 MEG-BIDS 作为一种存储、组织、处理和共享该模态产生的多维数据量的原则性解决方案。该标准还包括明确定义的元数据,以促进未来的数据协调和共享工作。这满足了多模态神经影像学社区的未满足需求,并为进一步整合电生理学中的其他技术铺平了道路。MEG-BIDS 建立在 MRI-BIDS 之上,将 BIDS 扩展到多模态数据结构。我们介绍了几个采用 MEG-BIDS 的数据分析软件,以及向所有人开放的各种开放的 MEG-BIDS 数据资源。