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人腦連接組計(jì)劃,該數(shù)據(jù)庫目前被試數(shù)約1200人,包括結(jié)構(gòu)MRI、靜息態(tài)MRI、任務(wù)態(tài)fMRI、MEG等數(shù)據(jù)模態(tài),其他數(shù)據(jù)還包括人口統(tǒng)計(jì)學(xué)數(shù)據(jù)、神經(jīng)心理學(xué)數(shù)據(jù)、基因數(shù)據(jù)。 1000功能連接組計(jì)劃(1000 Functional Connectomes Project, FCP),包括結(jié)構(gòu)MRI和靜息態(tài)fMRI數(shù)據(jù),此外還包括人口統(tǒng)計(jì)學(xué)數(shù)據(jù)。http://fcon_1000.projects.nitrc.org/fcpClassic/FcpTable.html神經(jīng)影像大數(shù)據(jù)國際“信度與可重復(fù)性聯(lián)盟”(Consortium for Reliability and Reproducibility, CORR)是由中科院心理所和美國兒童心理研究所于2014年共同發(fā)起,目前該數(shù)據(jù)庫包含1629名來自不同中心被試的MRI數(shù)據(jù),MRI數(shù)據(jù)模態(tài)包括結(jié)構(gòu)MRI、靜息態(tài)fMRI、dMRI、擴(kuò)散磁共振成像和動(dòng)脈自旋標(biāo)記成像ALS,此外還包括人口統(tǒng)計(jì)學(xué)數(shù)據(jù)。http://fcon_1000.projects.nitrc.org/indi/CoRR/html/index.htmlDEAP數(shù)據(jù)庫主要包括每個(gè)被試在面部表情視頻刺激下的EEG數(shù)據(jù)以及心理量表數(shù)據(jù)。http://www.eecs./mmv/datasets/deap/我的腦連接組計(jì)劃(My Connectome Project)只記錄了斯坦福大學(xué)R. Poldrack教授1個(gè)人的大腦在18個(gè)月內(nèi)的各種模態(tài)MRI數(shù)據(jù)(包括結(jié)構(gòu)、靜息態(tài)、任務(wù)態(tài)、擴(kuò)散MRI模態(tài))。中國AD臨床前期聯(lián)盟多中心認(rèn)知下降縱向研究數(shù)據(jù)庫(SILCODE)主要包括健康人和阿爾茲海默癥(AD)患者各個(gè)階段的多模態(tài)MRI和PET數(shù)據(jù),此外還包括臨床與行為學(xué)數(shù)據(jù)。OpenfMRI數(shù)據(jù)庫包括結(jié)構(gòu)MRI、靜息態(tài)fMRI、任務(wù)態(tài)fMRI、擴(kuò)散MRI、MEG模態(tài),其他數(shù)據(jù)還包括人口統(tǒng)計(jì)學(xué)數(shù)據(jù)、神經(jīng)心理學(xué)數(shù)據(jù)。英國生物銀行(UK Biobank)數(shù)據(jù)庫包括結(jié)構(gòu)MRI、靜息態(tài)fMRI、任務(wù)態(tài)fMRI、擴(kuò)散MRI,此外,還包括人口統(tǒng)計(jì)學(xué)數(shù)據(jù)、神經(jīng)心理學(xué)數(shù)據(jù)、基因數(shù)據(jù)、血液數(shù)據(jù)等。美國國家精神衛(wèi)生數(shù)據(jù)檔案研究所(NDA)數(shù)據(jù)庫包括美國國家自閉癥研究數(shù)據(jù)庫(NDAR),與精神疾病相關(guān)的國家臨床試驗(yàn)數(shù)據(jù)庫(NDCT),研究領(lǐng)域標(biāo)準(zhǔn)數(shù)據(jù)庫(RDoC db)和NIH小兒MRI數(shù)據(jù)存儲(chǔ)庫等。從內(nèi)容上來說,該數(shù)據(jù)庫數(shù)據(jù)內(nèi)容豐富,包含臨床、影像學(xué),基因組等方面的數(shù)據(jù)。神經(jīng)信息數(shù)據(jù)庫(Neuroinformatics database,NIDB)是一個(gè)神經(jīng)影像數(shù)據(jù)上傳和分享的平臺(tái),主要包括fMRI和EEG等數(shù)據(jù)。OpenNEURO數(shù)據(jù)庫數(shù)據(jù)類型主要包括MRI,MEG,EEG,iEEG和ECoG。腦成像圖書館(Brain Image Library, BIL)數(shù)據(jù)主要類型是哺乳動(dòng)物全腦體積數(shù)據(jù)(共聚焦顯微鏡腦成像數(shù)據(jù))。Alzheimer’s Disease Neuroimaging Initiative (ADNI)主要針對(duì)AD以及輕度認(rèn)知障礙患者,數(shù)據(jù)類型包括MRI和PET圖像、遺傳學(xué)、認(rèn)知測(cè)試、CSF和血液生物標(biāo)志物等。北美ADNI研究的研究資源和數(shù)據(jù)可通過該網(wǎng)站獲得,其中包括阿爾茨海默氏病患者,輕度認(rèn)知障礙受試者和老年人對(duì)照。NeuroMorpho主要用于搜集已經(jīng)出版的研究中的神經(jīng)元結(jié)構(gòu),是目前為止最大的3D神經(jīng)元重建和相關(guān)元數(shù)據(jù)的數(shù)據(jù)庫。 BrainMap是由德克薩斯大學(xué)健康科學(xué)中心的研究成像研究所負(fù)責(zé)運(yùn)營,主要提供功能和結(jié)構(gòu)MRI數(shù)據(jù)。BrainMap不僅提供用于薈萃分析和數(shù)據(jù)挖掘的數(shù)據(jù),還發(fā)布用于定量整合神經(jīng)影像數(shù)據(jù)的軟件和工具。 分子腦成像中心數(shù)據(jù)庫(The Center for Integrated Molecular Brain Imaging Database)主要提供PET和MRI數(shù)據(jù)的下載以及Cimbi團(tuán)隊(duì)利用這些數(shù)據(jù)已經(jīng)發(fā)表的文章。OASIS(Open Access Series of Imaging Studies)數(shù)據(jù)庫主要針對(duì)AD患者,提供正常衰老和AD的縱向MRI神經(jīng)影像,臨床、認(rèn)知和生物標(biāo)志物等數(shù)據(jù)。Delorme腦電數(shù)據(jù)庫提供包括認(rèn)知、癲癇、睡眠等多種EEG/ERP數(shù)據(jù)。http://sccn./~arno/fam2data/publicly_available_EEG_data.htmlDtmri數(shù)據(jù)庫主要包含人和大鼠的DTI數(shù)據(jù)。F.M.Kirby Research CenterF.M.Kirby Research Center主要提供多模態(tài)的MRI數(shù)據(jù),以及相應(yīng)的軟件工具。http://mri./databases.htmlOMEGA(Open MEG Archive)提供MEG數(shù)據(jù),以及包含MRI,人口統(tǒng)計(jì)信息和問卷信息以及多模式電生理數(shù)據(jù)(例如,EEG,http://www./bic/resources/omegaAustralian EEG database主要提供EEG/ERP數(shù)據(jù),CENTRAL腦影像數(shù)據(jù)庫主要包含MRI、PET和CT數(shù)據(jù),歐洲癲癇數(shù)據(jù)庫(European Epilepsy Database)主要提供癲癇患者連續(xù)EEG數(shù)據(jù).figshare數(shù)據(jù)平臺(tái)網(wǎng)址:BNCIHorizon 2020網(wǎng)址:PhysioNet數(shù)據(jù)庫網(wǎng)址:運(yùn)動(dòng)影像數(shù)據(jù) - Left/Right Hand MI: http:///dataset/100295
- Motor Movement/Imagery Dataset: https://www./physiobank/database/eegmmidb/
- Grasp and Lift EEG Challenge: https://www./c/grasp-and-lift-eeg-detection/data
- The largest SCP data of Motor-Imagery: https:///10.6084/m9.figshare.c.3917698
- BCI Competition IV-1: http://www./competition/iv/#dataset1
- BCI Competition IV-2a: http://www./competition/iv/#dataset2a
- BCI Competition IV-2b: http://www./competition/iv/#dataset2b
- High-Gamma Dataset: https://github.com/robintibor/high-gamma-dataset
- Left/Right Hand 1D/2D movements: https://sites.google.com/site/projectbci/
- Imagination of Right-hand Thumb Movement: https://archive.ics./ml/datasets/Planning+Relax
- DEAP: http://www.eecs./mmv/datasets/deap/
- Enterface'06: http://www./results/
- Imagined Emotion: http://headit./studies/3316f70e-35ff-11e3-a2a9-0050563f2612
- NeuroMarketing: https://drive.google.com/open?id=0B2T1rQUvyyWcSGVVaHZBZzRtTms
- SEED: http://bcmi./~seed/seed.html
- SEED-IV: http://bcmi./~seed/seed-iv.html
- SEED-VIG: http://bcmi./~seed/seed-vig.html
- HCI-Tagging: https:///hci-tagging/
- REGULATION OF AROUSAL: https:///open-access/regulation-arousal-online-neurofeedback-improves-human-performance-demanding-sensory
BCI-NER Challenge: https://www./c/inria-bci-challenge Monitoring ErrP in a target selection task: http:///database/data-sets ErrPs during continuous feedback: https://www-ti.informatik./~spueler/eeg_data/contErrP_description.pdf): 10 subjects with 28 EEG electrodes, playing a video game to study execution and outcome error. Dataset Part-1]: https://www-ti.informatik./~spueler/eeg_data/Continous_ErrP_dataset_Part1.rar) Dataset Part-2]: https://www-ti.informatik./~spueler/eeg_data/Continous_ErrP_dataset_Part2.rar) HCI-Tagging: https:///hci-tagging/
- c-VEP BCI: https://www-ti.informatik./~spueler/eeg_data/cVEP_dataset.rar
- c-VEP BCI with dry electrodes: https://www-ti.informatik./~spueler/eeg_data/dry_cVEP_dataset.rar
- SSVEP - Visual Search/Discrimination and Handshake: https://archive.ics./ml/datasets/EEG+Steady-State+Visual+Evoked+Potential+Signals More Dataset: Dataset 2: http://www2./eyetracking-eeg/testdata.html
- Pattern Visual Evoked Potentials: https://www2./departments/engineering/research/bioengineering/neuroengineering-lab/software
- Face vs. House Discrimination: https://purl./xd109qh3109
- Resting State EEG Data: https://dataverse./dataverse/txstatecogelectro
- EID-M, EID-S: https://drive.google.com/drive/folders/1t6tL434ZOESb06ZvA4Bw1p9chzxzbRbj
- Music Imagery Information Retrieval: https://github.com/sstober/openmiir
- Involuntary Eye Movements during Face Perception: http://www2./eyetracking-eeg/testdata.html
- Voluntary-Involuntary Eye-Blinks: https://drive.google.com/file/d/0By5iwWd39NblS2tRWmVTdmRzZUU/view?usp=sharing
- EEG-eye state: https://archive.ics./ml/datasets/EEG+Eye+State
- EEG-IO: http://gnan.ece./eeg-eyeblinks/
- EEG-VV, EEG-VR: http://gnan.ece./eeg-eyeblinks/
- MNIST Brain Digits: http:///opendb/index.html
- Imagenet Brain: http://www./opendb/imagenet.html
- Working Memory: https://github.com/pbashivan/EEGLearn/tree/master/Sample%20data
- Deep Sleep Slow Osciallation: https://challengedata./challenges/10
- Genetic Predisposition to Alcoholism: https://archive.ics./ml/datasets/EEG+Database
- TUH EEG Resources: https://www.isip./projects/tuh_eeg/html/downloads.shtml
其他- https://sccn./~arno/fam2data/publicly_available_EEG_data.html - http://headit./studies
- https://www2./departments/engineering/research/bioengineering/neuroengineering-lab/software
- https://github.com/pbashivan/EEGLearn/tree/master/Sample%20data
- Section 2: https:///pdf/1611.08024.pdf
- EEG Databases for Emotion Recognition, NTU
- https://engineuring./2009/07/08/downloadable-eeg-data/
- http://www.fil.ion./spm/data/
- http://www./search/showall/1
- http:///database/data-sets
- http://archive.ics./ml/datasets/EEG+Database
- https://www./physiobank/database/#neuro
- https://sites.google.com/site/iitrcsepradeep7/resume
- http://fcon_1000.projects.nitrc.org/indi/cmi_eeg/
- https://ieeexplore./stamp/stamp.jsp?tp=&arnumber=8616018
- https:///pdf/1805.06427.pdf
- http://www./Research/Biosignal-Data-Sets/content/Biosignal-Data-Sets
- https:///resource/doi:10.5061/dryad.070jc
- https:///data-competitions
- The Australian EEG Database https://aed./AED/login.jsp
Github地址:https://github.com/meagmohit/EEG-Datasets不用于商業(yè)行為,轉(zhuǎn)載請(qǐng)聯(lián)系后臺(tái)
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