Shared data related to the in review PLoS manuscript: Personalized microstructural evaluation using a Mahalanobis-distance based outlier detection strategy on epilepsy patients’ DTI data – theory, simulations and example cases, by G Gyebnár , Z Klimaj, L Entz, D Fabó, G Rudas, P Barsi & LR Kozák

Lajos R Kozak, MD, PhD 7a88637bf0 Frissítés "datacite.yml" 4 years ago
01_Control_Eigenvalues.tar.gz 133361faa3 Upload files to '' 4 years ago
02_Patient_Eigenvalues.tar.gz 133361faa3 Upload files to '' 4 years ago
03_Patient_T1s_Defaced.tar.gz 133361faa3 Upload files to '' 4 years ago
04_Patient_Lesion_Masks.tar.gz 133361faa3 Upload files to '' 4 years ago
LICENSE 1ae830ba2d Frissítés "LICENSE" 4 years ago
README.md 4283725cba Frissítés "README.md" 4 years ago
datacite.yml 7a88637bf0 Frissítés "datacite.yml" 4 years ago

README.md

EpiMCDMahalData

Shared data related to the in review PLoS One manuscript: Personalized microstructural evaluation using a Mahalanobis-distance based outlier detection strategy on epilepsy patients’ DTI data – theory, simulations and example cases, by G Gyebnár , Z Klimaj, L Entz, D Fabó, G Rudas, P Barsi & LR Kozák

Files included

01_Control_Eigenvalues.tar.gz 3D diffusion tensor eigenvalue maps of controls (in a study specific template space generated using SPM's DARTEL from the controls' anatomies)

02_Patient_Eigenvalues.tar.gz 3D diffusion tensor eigenvalue maps of patients (in a study specific template space generated using SPM's DARTEL from the controls' anatomies)

03_Patient_T1s_Defaced.tar.gz the patients' defaced 3D T1 anatomical series in their original space; defacing was done using fsl_deface

04_Patient_Lesion_Masks.tar.gz the patients' lesion masks in their original space matching those of the 3D T1 anatomies

datacite.yml
Title Epilepsy DTI Microstructural Evaluation Mahalanobis Dataset
Authors Gyebnár,Gyula;MR Research Center, Semmelweis University, Budapest, Hungary;ORCID:0000-0003-4411-2330
Klimaj,Zoltán;MR Research Center, Semmelweis University, Budapest, Hungary;ORCID:0000-0001-9700-5382
Entz,László;National Institute of Clinical Neurosciences, Budapest, Hungary
Fabó,Dániel;National Institute of Clinical Neurosciences, Budapest, Hungary
Rudas,Gábor;MR Research Center, Semmelweis University, Budapest, Hungary;ORCID:0000-0001-2345-6789
Barsi,Péter;MR Research Center, Semmelweis University, Budapest, Hungary;ORCID:0000-0001-2345-6789
Kozák,Lajos Rudolf;MR Research Center, Semmelweis University, Budapest, Hungary;ORCID:0000-0003-0368-3663
Description Shared data related to the in review PLoS One manuscript: Personalized microstructural evaluation using a Mahalanobis-distance based outlier detection strategy on epilepsy patients’ DTI data – theory, simulations and example cases, by G Gyebnár , Z Klimaj, L Entz, D Fabó, G Rudas, P Barsi & LR Kozák
License Creative Commons Attribution 4.0 International Public License (https://creativecommons.org/licenses/by/4.0/)
References Personalized microstructural evaluation using a Mahalanobis-distance based outlier detection strategy on epilepsy patients’ DTI data – theory, simulations and example cases, by G Gyebnár , Z Klimaj, L Entz, D Fabó, G Rudas, P Barsi & LR Kozák [doi:yy.xxx/zzzz] (IsSupplementTo)
Funding Ministry of Human Capacities Hungary, EFOP-3.6.3-VEKOP-16-2017-00009
Hungarian National Brain Research Program, KTIA/NAP_13-1-2013-0001:5
Hungarian National Brain Research Program, 2017-1.2.1-NKP-2017-00002
National Research, Development and Innovation Office Hungary, K128040
Hungarian Academy of Sciences, Bolyai Research Fellowship Program
Keywords MRI
Magnetic Resonance Imaging
DTI
Diffusion Tensor Imaging
Neuroradiology
Neurorimaging
Epilepsy
Malformations of Cortical Development
Brain Microstructure
Microstructural analysis
White Matter
Gray Matter
Grey Matter
MCD
Postprocessing
MAP07
Image Processing
Image Statistics
Mahalanobis Distance
Multidimensional Statistics
Epileptic lesion Detection
Lesion Detection
Single Patient Statistics
Resource Type Dataset