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A multi-subject, multi-modal human neuroimaging dataset
We describe data acquired with multiple functional and structural neuroimaging modalities on the same nineteen healthy volunteers. The functional data include Electroencephalography (EEG), Magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) data, recorded while the voluntee...
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Published in: | Scientific data 2015-01, Vol.2 (1), p.150001-150001, Article 150001 |
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description | We describe data acquired with multiple functional and structural neuroimaging modalities on the same nineteen healthy volunteers. The functional data include Electroencephalography (EEG), Magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) data, recorded while the volunteers performed multiple runs of hundreds of trials of a simple perceptual task on pictures of familiar, unfamiliar and scrambled faces during two visits to the laboratory. The structural data include T1-weighted MPRAGE, Multi-Echo FLASH and Diffusion-weighted MR sequences. Though only from a small sample of volunteers, these data can be used to develop methods for integrating multiple modalities from multiple runs on multiple participants, with the aim of increasing the spatial and temporal resolution above that of any one modality alone. They can also be used to integrate measures of functional and structural connectivity, and as a benchmark dataset to compare results across the many neuroimaging analysis packages. The data are freely available from
https://openfmri.org/
.
Design Type(s)
observational design
Measurement Type(s)
encephalography • nuclear magnetic resonance assay
Technology Type(s)
electro- and magneto-encephalography • MRI Scanner
Factor Type(s)
Sample Characteristic(s)
Homo sapiens • brain
Machine-accessible metadata file describing the reported data
(ISA-Tab format) |
doi_str_mv | 10.1038/sdata.2015.1 |
format | article |
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https://openfmri.org/
.
Design Type(s)
observational design
Measurement Type(s)
encephalography • nuclear magnetic resonance assay
Technology Type(s)
electro- and magneto-encephalography • MRI Scanner
Factor Type(s)
Sample Characteristic(s)
Homo sapiens • brain
Machine-accessible metadata file describing the reported data
(ISA-Tab format)</description><identifier>ISSN: 2052-4463</identifier><identifier>EISSN: 2052-4463</identifier><identifier>DOI: 10.1038/sdata.2015.1</identifier><identifier>PMID: 25977808</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/1647/1453/1450 ; 631/1647/245/1627 ; 631/378/2649 ; 692/700/1421/65 ; Adult ; Brain - physiology ; Brain Mapping ; Data Descriptor ; Electroencephalography ; Female ; Functional Neuroimaging ; Healthy Volunteers ; Humanities and Social Sciences ; Humans ; Magnetic Resonance Imaging ; Magnetoencephalography ; Male ; multidisciplinary ; Science ; Task Performance and Analysis</subject><ispartof>Scientific data, 2015-01, Vol.2 (1), p.150001-150001, Article 150001</ispartof><rights>The Author(s) 2015</rights><rights>Copyright Nature Publishing Group Jan 2015</rights><rights>Copyright © 2015, Macmillan Publishers Limited 2015 Macmillan Publishers Limited</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c549t-c4c89bf479c6fc9b74e82aa238d519c58f78d1d9b00db86849367b0e0c42531a3</citedby><cites>FETCH-LOGICAL-c549t-c4c89bf479c6fc9b74e82aa238d519c58f78d1d9b00db86849367b0e0c42531a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1790120244/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1790120244?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25977808$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wakeman, Daniel G</creatorcontrib><creatorcontrib>Henson, Richard N</creatorcontrib><title>A multi-subject, multi-modal human neuroimaging dataset</title><title>Scientific data</title><addtitle>Sci Data</addtitle><addtitle>Sci Data</addtitle><description>We describe data acquired with multiple functional and structural neuroimaging modalities on the same nineteen healthy volunteers. The functional data include Electroencephalography (EEG), Magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) data, recorded while the volunteers performed multiple runs of hundreds of trials of a simple perceptual task on pictures of familiar, unfamiliar and scrambled faces during two visits to the laboratory. The structural data include T1-weighted MPRAGE, Multi-Echo FLASH and Diffusion-weighted MR sequences. Though only from a small sample of volunteers, these data can be used to develop methods for integrating multiple modalities from multiple runs on multiple participants, with the aim of increasing the spatial and temporal resolution above that of any one modality alone. They can also be used to integrate measures of functional and structural connectivity, and as a benchmark dataset to compare results across the many neuroimaging analysis packages. The data are freely available from
https://openfmri.org/
.
Design Type(s)
observational design
Measurement Type(s)
encephalography • nuclear magnetic resonance assay
Technology Type(s)
electro- and magneto-encephalography • MRI Scanner
Factor Type(s)
Sample Characteristic(s)
Homo sapiens • brain
Machine-accessible metadata file describing the reported data
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Henson, Richard N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c549t-c4c89bf479c6fc9b74e82aa238d519c58f78d1d9b00db86849367b0e0c42531a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>631/1647/1453/1450</topic><topic>631/1647/245/1627</topic><topic>631/378/2649</topic><topic>692/700/1421/65</topic><topic>Adult</topic><topic>Brain - physiology</topic><topic>Brain Mapping</topic><topic>Data Descriptor</topic><topic>Electroencephalography</topic><topic>Female</topic><topic>Functional Neuroimaging</topic><topic>Healthy Volunteers</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging</topic><topic>Magnetoencephalography</topic><topic>Male</topic><topic>multidisciplinary</topic><topic>Science</topic><topic>Task Performance and Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wakeman, Daniel G</creatorcontrib><creatorcontrib>Henson, Richard N</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Nucleic Acids Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific data</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wakeman, Daniel G</au><au>Henson, Richard N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A multi-subject, multi-modal human neuroimaging dataset</atitle><jtitle>Scientific data</jtitle><stitle>Sci Data</stitle><addtitle>Sci Data</addtitle><date>2015-01-20</date><risdate>2015</risdate><volume>2</volume><issue>1</issue><spage>150001</spage><epage>150001</epage><pages>150001-150001</pages><artnum>150001</artnum><issn>2052-4463</issn><eissn>2052-4463</eissn><abstract>We describe data acquired with multiple functional and structural neuroimaging modalities on the same nineteen healthy volunteers. The functional data include Electroencephalography (EEG), Magnetoencephalography (MEG) and functional Magnetic Resonance Imaging (fMRI) data, recorded while the volunteers performed multiple runs of hundreds of trials of a simple perceptual task on pictures of familiar, unfamiliar and scrambled faces during two visits to the laboratory. The structural data include T1-weighted MPRAGE, Multi-Echo FLASH and Diffusion-weighted MR sequences. Though only from a small sample of volunteers, these data can be used to develop methods for integrating multiple modalities from multiple runs on multiple participants, with the aim of increasing the spatial and temporal resolution above that of any one modality alone. They can also be used to integrate measures of functional and structural connectivity, and as a benchmark dataset to compare results across the many neuroimaging analysis packages. The data are freely available from
https://openfmri.org/
.
Design Type(s)
observational design
Measurement Type(s)
encephalography • nuclear magnetic resonance assay
Technology Type(s)
electro- and magneto-encephalography • MRI Scanner
Factor Type(s)
Sample Characteristic(s)
Homo sapiens • brain
Machine-accessible metadata file describing the reported data
(ISA-Tab format)</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>25977808</pmid><doi>10.1038/sdata.2015.1</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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issn | 2052-4463 2052-4463 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4412149 |
source | Publicly Available Content Database; PubMed Central; Springer Nature - nature.com Journals - Fully Open Access |
subjects | 631/1647/1453/1450 631/1647/245/1627 631/378/2649 692/700/1421/65 Adult Brain - physiology Brain Mapping Data Descriptor Electroencephalography Female Functional Neuroimaging Healthy Volunteers Humanities and Social Sciences Humans Magnetic Resonance Imaging Magnetoencephalography Male multidisciplinary Science Task Performance and Analysis |
title | A multi-subject, multi-modal human neuroimaging dataset |
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