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dc.contributor.author
Daducci, Alessandro
dc.contributor.author
Gerhard, Stephan
dc.contributor.author
Griffa, Alessandra
dc.contributor.author
Lemkaddem, Alia
dc.contributor.author
Cammoun, Leila
dc.contributor.author
Gigandet, Xavier
dc.contributor.author
Meuli, Reto
dc.contributor.author
Hagmann, Patric
dc.contributor.author
Thiran, Jean-Philippe
dc.date.accessioned
2018-07-26T12:54:39Z
dc.date.available
2017-06-10T13:51:53Z
dc.date.available
2018-07-26T12:54:39Z
dc.date.issued
2012-12-18
dc.identifier.issn
1932-6203
dc.identifier.other
10.1371/journal.pone.0048121
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/63497
dc.identifier.doi
10.3929/ethz-b-000063497
dc.description.abstract
Researchers working in the field of global connectivity analysis using diffusion magnetic resonance imaging (MRI) can count on a wide selection of software packages for processing their data, with methods ranging from the reconstruction of the local intra-voxel axonal structure to the estimation of the trajectories of the underlying fibre tracts. However, each package is generally task-specific and uses its own conventions and file formats. In this article we present the Connectome Mapper, a software pipeline aimed at helping researchers through the tedious process of organising, processing and analysing diffusion MRI data to perform global brain connectivity analyses. Our pipeline is written in Python and is freely available as open-source at www.cmtk.org.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Public Library of Science
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
The Connectome Mapper: An open-source processing pipeline to map connectomes with MRI
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.journal.title
PLoS ONE
ethz.journal.volume
7
en_US
ethz.journal.issue
12
en_US
ethz.journal.abbreviated
PLoS ONE
ethz.pages.start
e48121
en_US
ethz.size
9 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.nebis
006206116
ethz.publication.place
S.l.
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02533 - Institut für Neuroinformatik / Institute of Neuroinformatics::03774 - Hahnloser, Richard H.R. / Hahnloser, Richard H.R.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02533 - Institut für Neuroinformatik (INI) / Institute of Neuroinformatics (INI)::03454 - Martin, Kevan A.C.
en_US
ethz.leitzahl
03453 - Douglas, Rodney J.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02533 - Institut für Neuroinformatik / Institute of Neuroinformatics::03774 - Hahnloser, Richard H.R. / Hahnloser, Richard H.R.
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02533 - Institut für Neuroinformatik (INI) / Institute of Neuroinformatics (INI)::03454 - Martin, Kevan A.C.
ethz.leitzahl.certified
03453 - Douglas, Rodney J.
ethz.date.deposited
2017-06-10T13:52:02Z
ethz.source
ECIT
ethz.identifier.importid
imp593650561aeac64037
ethz.ecitpid
pub:100534
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-19T11:07:17Z
ethz.rosetta.lastUpdated
2019-01-02T13:30:18Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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