Data from: Integrated analysis and visualization of group differences in structural and functional brain connectivity: applications in typical ageing and schizophrenia

Langen CD, White TJ, Ikram MA, Vernooij MW, Niessen WJ

Date Published: September 15, 2015

DOI: http://dx.doi.org/10.5061/dryad.88q04

 

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Title MGH_regression
Downloaded 11 times
Description Connectome file format file that holds networkX networks for each connectivity type. Each connection in the network represents an ordinary least squares regression with group membership as the variable of interest and age and gender as covariates. For each variable, covariable and a constant term, the beta, pvalue and t-statistic is stored.
Download MGH_regression.cff (2.126 Mb)
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Title MGHconnectomes
Downloaded 7 times
Description tar.gz holding the connectome information of each subject included in the MGH proof-of-concept study. Each subject has a connectome file format (cff) file, and each cff file holds networkX networks for each network type considered.
Download MGHconnectomes.tar.gz (33.16 Mb)
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Title MGH_includedSubjects
Downloaded 7 times
Description List of subjects included in the MGH analysis. Each subject's URSI identifier, type (patient/control), age, gender, and ses is provided. Additional information about subjects can be obtained from the MIND Clinical Imaging Consortium.
Download MGH_includedSubjects.csv (1.179 Kb)
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When using this data, please cite the original publication:

Langen CD, White TJ, Ikram MA, Vernooij MW, Niessen WJ (2015) Integrated analysis and visualization of group differences in structural and functional brain connectivity: applications in typical ageing and schizophrenia. PLOS ONE 10(9): e0137484. http://dx.doi.org/10.1371/journal.pone.0137484

Additionally, please cite the Dryad data package:

Langen CD, White TJ, Ikram MA, Vernooij MW, Niessen WJ (2015) Data from: Integrated analysis and visualization of group differences in structural and functional brain connectivity: applications in typical ageing and schizophrenia. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.88q04
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