遇见数据集

Multisubject, multimodal face processing

收藏
OpenNeuro2018-03-30 更新2026-03-14 收录
官方服务:

资源简介:

This dataset was obtained from the OpenNeuro project (https://www.openneuro.org). Accession #: ds000117 The same dataset is also available here: ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/, but in a non-BIDS format (which may be easier to download by subject rather than by modality) Note that it is a subset of the data available on OpenfMRI (http://www.openfmri.org; Accession #: ds000117). Description: Multi-subject, multi-modal (sMRI+fMRI+MEG+EEG) neuroimaging dataset on face processing Please cite the following reference if you use these data: Wakeman, D.G. & Henson, R.N. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci. Data 2:150001 doi: 10.1038/sdata.2015.1 The data have been used in several publications including, for example: Henson, R.N., Abdulrahman, H., Flandin, G. & Litvak, V. (2019). Multimodal integration of M/EEG and f/MRI data in SPM12. Frontiers in Neuroscience, Methods, 13, 300. Henson, R.N., Wakeman, D.G., Litvak, V. & Friston, K.J. (2011). A Parametric Empirical Bayesian framework for the EEG/MEG inverse problem: generative models for multisubject and multimodal integration. Frontiers in Human Neuroscience, 5, 76, 1-16. Chapter 42 of the SPM12 manual (http://www.fil.ion.ucl.ac.uk/spm/doc/manual.pdf) (see ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/Publications for full list), as well as the BioMag2010 data competition and the Kaggle competition: https://www.kaggle.com/c/decoding-the-human-brain) ================================================================================== func/ ----- Unlike in v1-v3 of this dataset, the first two (dummy) volumes have now been removed (as stated in *.json), so event onset times correctly refer to t=0 at start of third volume Note that, owing to scanner error, Subject 10 only has 170 volumes in last run (Run 9) meg/ ---- Three anatomical fiducials were digitized for aligning the MEG with the MRI: the nasion (lowest depression between the eyes) and the left and right ears (lowest depression between the tragus and the helix, above the tragus). This procedure is illustrated here: http://neuroimage.usc.edu/brainstorm/CoordinateSystems#Subject_Coordinate_System_.28SCS_.2F_CTF.29 and in task-facerecognition_fidinfo.pdf The following triggers are included in the .fif files and are also used in the “trigger” column of the meg and bold events files: Trigger Label Simplified Label 5 Initial Famous Face IniFF 6 Immediate Repeat Famous Face ImmFF 7 Delayed Repeat Famous Face DelFF 13 Initial Unfamiliar Face IniUF 14 Immediate Repeat Unfamiliar Face ImmUF 15 Delayed Repeat Unfamiliar Face DelUF 17 Initial Scrambled Face IniSF 18 Immediate Repeat Scrambled Face ImmSF 19 Delayed Repeat Scrambled Face DelSF stimuli/meg/ ------------ The .bmp files correspond to those described in the text. There are 6 additional images in this directory, which were used in the practice experiment to familiarize participants with the task (hence some more BIDS validator warnings) stimuli/mri/ ------------ The .bmp files correspond to those described in the text. Defacing -------- Defacing of MPRAGE T1 images was performed by the submitter. A subset of subjects have given consent for non-defaced versions to be shared - in which case, please contact rik.henson@mrc-cbu.cam.ac.uk. Quality Control --------------- Mriqc was run on the dataset. Results are located in derivatives/mriqc. Learn more about it here: https://mriqc.readthedocs.io/en/latest/ Known Issues ------------ N/A Relationship of Subject Numbering relative to other versions of Dataset ------------ There are multiple versions of the dataset available on the web (see notes above), and these entailed a renumbering of the subjects for various reasons. Here are all the versions and how to match subjects between them (plus some rationale and history for different versions): 1. Original Paper (N=19): Wakeman & Henson (2015): doi:10.1038/sdata.2015.1 Number refers to order that tested (and some, eg 4, 7, 13 etc were excluded for not completing both MRI and MEG sessions) 2. openfMRI, renumbered from paper: http://openfmri.org/s3-browser/?prefix=ds000117/ds000117_R0.1.1/uncompressed/ Numbers 1-19 just made contiguous 3. FTP subset of N=16: ftp: ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/ This set was used for SPM Courses Designed to illustrate multimodal integration, so wanted good MRI+MEG+EEG data for all subjects Removed original subject_01 and subject_06 because bad EEG data; subject_19 because poor EEG and fMRI data (And renumbered subject_14 for some reason). 4. Current OpenNeuro subset N=16 used for (BIDS): https://openneuro.org/datasets/ds000117 OpenNeuro was rebranding of openfMRI, and enforced BIDS format Since this version designed to illustrate multi-modal BIDS, kept same numbering as FTP W&H2015 openfMRI FTP openNeuro ======== ====== === ======= subject_01 sub001 subject_02 sub002 Sub01 sub-01 subject_03 sub003 Sub02 sub-02 subject_05 sub004 Sub03 sub-03 subject_06 sub005 subject_08 sub006 Sub05 sub-05 subject_09 sub007 Sub06 sub-06 subject_10 sub008 Sub07 sub-07 subject_11 sub009 Sub08 sub-08 subject_12 sub010 Sub09 sub-09 subject_14 sub011 Sub04 sub-04 subject_15 sub012 Sub10 sub-10 subject_16 sub013 Sub11 sub-11 subject_17 sub014 Sub12 sub-12 subject_18 sub015 Sub13 sub-13 subject_19 sub016 subject_23 sub017 Sub14 sub-14 subject_24 sub018 Sub15 sub-15 subject_25 sub019 Sub16 sub-16

本数据集获取自OpenNeuro项目(https://www.openneuro.org),收录编号:ds000117。 该数据集亦可通过以下链接获取:ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/,但格式非BIDS(脑成像数据结构,Brain Imaging Data Structure),按个体而非模态下载可能更为便捷。 请注意,本数据集为OpenfMRI(http://www.openfmri.org;收录编号:ds000117)上可用数据的子集。 ### 数据集描述 本数据集为多被试、多模态(结构磁共振成像sMRI+功能磁共振成像fMRI+脑磁图MEG+脑电图EEG)的人脸加工神经影像数据集。 若使用本数据集,请引用以下文献: Wakeman, D.G. & Henson, R.N. (2015). 多被试多模态人类神经影像数据集. Sci. Data 2:150001 doi: 10.1038/sdata.2015.1 本数据集已被多项研究采用,例如: 1. Henson, R.N., Abdulrahman, H., Flandin, G. & Litvak, V. (2019). SPM12中M/EEG与f/MRI数据的多模态整合. 神经科学前沿, 方法学专栏, 13, 300. 2. Henson, R.N., Wakeman, D.G., Litvak, V. & Friston, K.J. (2011). 用于EEG/MEG逆问题的参数经验贝叶斯框架:多被试与多模态整合的生成模型. 人类神经科学前沿, 5, 76, 1-16. 3. SPM12手册第42章(http://www.fil.ion.ucl.ac.uk/spm/doc/manual.pdf) 完整出版物列表可参见:ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/Publications,此外本数据集还曾用于BioMag2010数据竞赛以及Kaggle竞赛:https://www.kaggle.com/c/decoding-the-human-brain) --- #### func/ 目录 与本数据集v1至v3版本不同,本版本已移除前两帧伪影扫描卷(详见*.json文件说明),因此事件起始时间已正确对应至第三帧扫描开始时的t=0时刻。 请注意,因扫描仪故障,被试10的最后一次运行(第9次运行)仅包含170帧影像。 #### meg/ 目录 为将MEG与MRI对齐,我们采集了三个解剖学标志点:鼻根(双眼间最低凹陷处)以及左右耳屏(耳屏与耳轮间最低凹陷处,耳屏上方)。该操作流程可参见:http://neuroimage.usc.edu/brainstorm/CoordinateSystems#Subject_Coordinate_System_.28SCS_.2F_CTF.29 以及task-facerecognition_fidinfo.pdf。 以下触发信号(Trigger)包含于.fif文件中,同时也用于meg与bold事件文件的"trigger"列: |触发码|标准标签|简化标签| |---|---|---| |5|Initial Famous Face|IniFF| |6|Immediate Repeat Famous Face|ImmFF| |7|Delayed Repeat Famous Face|DelFF| |13|Initial Unfamiliar Face|IniUF| |14|Immediate Repeat Unfamiliar Face|ImmUF| |15|Delayed Repeat Unfamiliar Face|DelUF| |17|Initial Scrambled Face|IniSF| |18|Immediate Repeat Scrambled Face|ImmSF| |19|Delayed Repeat Scrambled Face|DelSF| #### stimuli/meg/ 目录 本目录下的.bmp文件与正文描述一致。此外该目录还包含6张额外图片,用于练习实验以帮助被试熟悉任务流程(因此会产生更多BIDS验证器警告)。 #### stimuli/mri/ 目录 本目录下的.bmp文件与正文描述一致。 --- ### 去标识化处理 提交者已对MPRAGE T1影像执行去标识化处理。部分被试已同意共享非去标识化版本的影像,若需获取此类数据,请联系rik.henson@mrc-cbu.cam.ac.uk。 ### 质量控制 本数据集已通过Mriqc进行质量评估,结果存放于derivatives/mriqc目录。更多关于Mriqc的信息可参见:https://mriqc.readthedocs.io/en/latest/ ### 已知问题 无(N/A) --- ### 不同数据集版本间的被试编号对应关系 网络上存在多个本数据集的版本(详见前文说明),因各类原因各版本的被试编号均有调整。以下列出所有版本及其被试编号对应关系,并附各版本的依据与历史: 1. 原始论文版本(N=19):Wakeman & Henson (2015): doi:10.1038/sdata.2015.1 编号按测试顺序排列(部分被试如4、7、13等因未完成MRI与MEG扫描被排除)。 2. openfMRI版本:基于原始论文版本重新编号:http://openfmri.org/s3-browser/?prefix=ds000117/ds000117_R0.1.1/uncompressed/ 编号1-19为连续编号。 3. N=16的FTP子集版本:ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/ 该子集用于SPM课程,旨在展示多模态整合方法,因此要求所有被试均具备完整的MRI、MEG与EEG数据。 移除了原始被试_01与_06(EEG数据异常)以及被试_19(EEG与fMRI数据质量较差),并因部分原因对被试_14进行了重新编号。 4. 当前OpenNeuro的BIDS格式子集版本(N=16):https://openneuro.org/datasets/ds000117 OpenNeuro是openfMRI的重品牌项目,强制要求采用BIDS格式。本版本为展示多模态BIDS数据集而保留了FTP子集的编号规则。 |W&H2015论文版|openfMRI版|FTP版|OpenNeuro版| |---|---|---|---| |subject_01|sub001| | | |subject_02|sub002|Sub01|sub-01| |subject_03|sub003|Sub02|sub-02| |subject_05|sub004|Sub03|sub-03| |subject_06|sub005| | | |subject_08|sub006|Sub05|sub-05| |subject_09|sub007|Sub06|sub-06| |subject_10|sub008|Sub07|sub-07| |subject_11|sub009|Sub08|sub-08| |subject_12|sub010|Sub09|sub-09| |subject_14|sub011|Sub04|sub-04| |subject_15|sub012|Sub10|sub-10| |subject_16|sub013|Sub11|sub-11| |subject_17|sub014|Sub12|sub-12| |subject_18|sub015|Sub13|sub-13| |subject_19|sub016| | | |subject_23|sub017|Sub14|sub-14| |subject_24|sub018|Sub15|sub-15| |subject_25|sub019|Sub16|sub-16|

创建时间:
2018-03-30
搜集汇总
背景与挑战
背景概述
该数据集是一个多参与者、多模态的神经影像数据集,专注于面部处理研究,包含sMRI、fMRI、MEG和EEG数据。它涉及16名参与者,用于面部识别任务,数据已按照BIDS格式组织,支持多模态集成分析,并广泛应用于相关科学研究。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务