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dc.contributor.author
Ganzetti, Marco
dc.contributor.author
Wenderoth, Nicole
dc.contributor.author
Mantini, Dante
dc.date.accessioned
2022-08-02T08:22:28Z
dc.date.available
2017-06-11T19:42:08Z
dc.date.available
2022-08-02T08:22:28Z
dc.date.issued
2015-09
dc.identifier.other
10.1007/s00234-015-1550-4
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/104908
dc.identifier.doi
10.3929/ethz-b-000104908
dc.description.abstract
Introduction A workflow based on the ratio between standardized T1-weighted (T1-w) and T2-weighted (T2-w) MR images has been proposed as a new tool to study brain structure. This approach was previously used to map structural properties in the healthy brain. Here, we evaluate whether the T1-w/T2-w approach can support the assessment of structural impairments in the diseased brain. We use schizophrenia data to demonstrate the potential clinical utility of the technique. Methods We analyzed T1-w and T2-w images of 36 schizophrenic patients and 35 age-matched controls. These were collected for the Function Biomedical Informatics Research Network (fBIRN) collaborative project, which had an IRB approval and followed the HIPAA guidelines. We computed T1-w/T2-w images for each individual and compared intensities in schizophrenic and control groups on a voxel-wise basis, as well as in regions of interest (ROIs). Results Our results revealed that the T1-w/T2-w image permits to discriminate brain regions showing group-level differences between patients and controls with greater accuracy than conventional T1-w and T2-w images. Both the ROIs and the voxel-wise analysis showed globally reduced gray and white matter values in patients compared to controls. Significantly reduced values were found in regions such as insula, primary auditory cortex, hippocampus, inferior longitudinal fasciculus, and inferior fronto-occipital fasciculus. Conclusion Our findings were consistent with previous meta-analyses in schizophrenia corroborating the hypothesis of a potential “disconnection” syndrome in conjunction with structural alterations in local gray matter regions. Overall, our study suggested that the T1-w/T2-w technique permits to reliably map structural differences between the brains of patients and healthy individuals.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Brain mapping
en_US
dc.subject
Screening
en_US
dc.subject
Structural alterations
en_US
dc.subject
Schizophrenia
en_US
dc.subject
Magnetic resonance imaging
en_US
dc.title
Mapping pathological changes in brain structure by combining T1- and T2-weighted MR imaging data
en_US
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.journal.title
Neuroradiology
ethz.journal.volume
57
en_US
ethz.journal.issue
9
en_US
ethz.pages.start
917
en_US
ethz.pages.end
928
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.notes
It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
001991933
ethz.publication.place
Berlin
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::02535 - Institut für Bewegungswiss. und Sport / Institut of Human Movement Sc. and Sport::03963 - Wenderoth, Nicole / Wenderoth, Nicole
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02070 - Dep. Gesundheitswiss. und Technologie / Dep. of Health Sciences and Technology::02535 - Institut für Bewegungswiss. und Sport / Institut of Human Movement Sc. and Sport::03963 - Wenderoth, Nicole / Wenderoth, Nicole
ethz.date.deposited
2017-06-11T19:42:42Z
ethz.source
ECIT
ethz.identifier.importid
imp59365387b398899948
ethz.ecitpid
pub:164195
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-13T06:11:39Z
ethz.rosetta.lastUpdated
2020-02-14T15:44:15Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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