HCP multipipelines

Elodie Germani, Elisa Fromont, Pierre Maurel, Camille Maumet

Version: V1 Last updated: unknown DOI: 10.70883/GTKK1541 License: Data User Agreement

Description: While variability across participants or across acquisition instruments have been extensively studied in the neuroimaging literature the root causes of analytical variability remain an open question. Here, we share the derivatives from HCP-Young Adults dataset, including the statistical maps for 24 typical fMRI pipelines on 1080 participants. We share both individual and group results - for 1,000 groups of 50 participants - over 5 motor contrasts.

Keywords:

Properties:

Property	Value(s)
Bids_version	v1.9.0
Bids_datasettype	derivative
Bids_datatypes	anat func
NCBI Species Taxonomy	homo sapiens
SNOMED ID	102512003
SNOMED label	Healthy adult
Cognitive Atlas task	motor fMRI task paradigm

Property	Value(s)
Total_number	1080
Age_range	[22, 36]
Number_of_healthy	1080
Number_of_patients	0
Number_of_biological_males	495
Number_of_biological_females	585

Property	Value(s)
Restrictions	Institution of users from non EU or adequate countries must be able to sign standard contractual clauses
Terms	By accepting this agreement, including obligations stated in the WU-Minn HCP Data Use Terms in Annex, I become the data controller (as defined under the GDPR) of the Data that I have access to, and am responsible that I access these Data under the following terms: (1) I will comply with all relevant rules and regulations imposed by my institution and my government. Rules established in this agreement thus take place in addition to existing general data protection regulations that are applicable in my country. (2) I will not attempt to establish or retrieve the identity of the study participants. I will not link these Data to any other database in a way that could provide identifying information. I shall not request the pseudonymisation key that would link these Data to an individual’s personal information, nor will I accept any additional information about individual participants under this Data User Agreement. (3) I will not redistribute these Data or share access to these Data with others, unless they have independently applied and been granted access to these Data, i.e., signed this Data User Agreement. This includes individuals in my institution. (4). When sharing secondary or derivative data (e.g. group statistical maps or templates), I will only do so if they are on a group level, and cannot be deduced information from individual participants. (5) I will reference the specific source of the accessed Data when publicly presenting any results or algorithms that benefited from their use: (a) Papers, book chapters, books, posters, oral presentations, and all other presentations of results derived from the Data should acknowledge the origin of the Data as follows: 'Data were provided in part by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University”, and by Inria Centre at Rennes University, more specifically by the “Empenn” Research Team of Inria, France.' (b) Authors of publications or presentations using the Data should cite relevant publications describing the methods developed and used by the HCP and the “Empenn” Research Team of Inria to acquire and process the Data. The specific publications that are appropriate to cite in any given study will depend on what the Data were used and for what purposes. When applicable, a list of publications will be included in the collection. Concerning methods developed and used by the HCP, if needed, an annotated and appropriately up-to-date list of publications that may warrant consideration is available at http: //www.humanconnectome.org/about/acknowledgehcp.html. (c) Neither Inria or the Washington University - University of Minnesota Consortium of the Human Connectome Project, nor the researchers that provide this Data will be liable for any results and/or derived data. They shall not be included as an author of publications or presentations without consent. (6) By accepting this agreement, I also accept to abide to the WU-Minn HCP Data Use Terms stated in Annex, when applicable. (7) Failure to abide by these guidelines will result in termination of my privileges to access these Data.

HCP multipipelines

Elodie Germani, Elisa Fromont, Pierre Maurel, Camille Maumet

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The HCP multi-pipeline dataset: an opportunity to investigate analytical variability in fMRI data analysis

Agence Nationale de la Recherche

Region Bretagne