Data files for "Volumetric gray matter measures of amygdala and accumbens in childhood overweight/obesity"

gergo7633 c40754c794 Frissítés "datacite.yml" 6 months ago
GMD_vs_zBMI_adjusted_for_age_gender_5000perm_tfce_corrp_tstat2.nii.gz b1579a5f42 Fájlok feltöltése '' 6 months ago
GMD_vs_zBMI_adjusted_for_age_gender_5000perm_tstat2.nii.gz b1579a5f42 Fájlok feltöltése '' 6 months ago
GMM_vs_zBMI_adjusted_for_age_gender_ICV_5000perm_amygdalaROI_tfce_corrp_tstat2.nii.gz b1579a5f42 Fájlok feltöltése '' 6 months ago
GMM_vs_zBMI_adjusted_for_age_gender_ICV_5000perm_amygdalaROI_tstat2.nii.gz b1579a5f42 Fájlok feltöltése '' 6 months ago
LICENSE 614f0edf3d Initial commit 6 months ago
README.md dbd8a392dc Frissítés "README.md" 6 months ago
datacite.yml c40754c794 Frissítés "datacite.yml" 6 months ago
raw_data_with_description.xlsx e12f67066a MS Excel file 6 months ago

README.md

DATA_FILES_I_FAMILY_GM_I

Data files for "Volumetric gray matter measures of amygdala and accumbens in childhood overweight/obesity"

Description of nifti images:

GMM_vs_zBMI_adjusted_for_age_gender_ICV_5000perm_amygdalaROI_tfce_corrp_tstat2.nii.gz and GMM_vs_zBMI_adjusted_for_age_gender_ICV_5000perm_amygdalaROI_tstat2.nii.gz are 1 P map and t map resulting from region of interest voxel-based morphometry (VBM) analysis of gray matter mass (GMM) in the bilateral mask of amygdala. The maps demonstrate the inverse association between GMM and BMI z-score at T4 after controlling for age, gender and intracranial volume. The images were calculated by using permutation-based non-parametric testing (5000 permutations) and applying multiple comparison correction via threshold-free cluster enhancement (TFCE). The region of interest was defined as the intersection of the original gray matter mask of VBM and the bilateral amygdala label of the Harvard-Oxford maximum probability subcortical atlas thresholded at 0%.

GMD_vs_zBMI_adjusted_for_age_gender_5000perm_tfce_corrp_tstat2.nii.gz and GMD_vs_zBMI_adjusted_for_age_gender_5000perm_tstat2.nii.gz are 1 P map and t map resulting from whole-brain voxel-based morphometry analysis of gray matter density (GMD). The maps demonstrate the inverse association between GMD and BMI z-score at T4 after controlling for age and gender. The images were calculated by using permutation-based non-parametric testing (5000 permutations) and applying multiple comparison correction via threshold-free cluster enhancement (TFCE).

Datacite.yml
Title Raw data for article: Volumetric gray matter measures of amygdala and accumbens in childhood overweight/obesity
Authors Perlaki,Gabor
Molnar,Denes
Smeets,Paul A. M.
Ahrens,Wolfgang
Wolters,Maike
Eiben,Gabriele
Lissner,Lauren
Erhard,Peter
van Meer,Floor
Herrmann,Manfred
Janszky,Jozsef
Orsi,Gergely
,On behalf of the I.Family Consortium
Description Raw data for article: Volumetric gray matter measures of amygdala and accumbens in childhood overweight/obesity
License Creative Commons CC0 1.0 Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/)
References
Funding This work was done as part of the I.Family Study (http://www.ifamilystudy.eu/). We gratefully acknowledge the financial support of the European Commission within the Seventh RTD Framework Programme Contract No. 266044.
The study was supported by the Hungarian Brain Research Program (2017-1.2.1-NKP-2017-00002) government-based fund (http://www.agykutatas.com/)
The study was supported by EFOP-3.6.2-16-2017-00008 „The role of neuro-inflammation in neurodegeneration: from molecules to clinics” (https://pte.hu/sites/pte.hu/files/files/Sajtoszoba/Sajtokozlemenyek/2017/sajtokozlemeny_idegtudomany_2017november.doc)
G.P. was supported by the ÚNKP-17-4-I-PTE-76 New National Excellence Program of the Ministry of Human Capacities, the János Bolyai Research Scholarship of the Hungarian Academy of Sciences, and PTE ÁOK-KA-2017-05.
G.O. was supported by the ÚNKP-17-4-I-PTE-93 New National Excellence Program of the Ministry of Human Capacities, the János Bolyai Research Scholarship of the Hungarian Academy of Sciences, and PTE ÁOK-KA-2017-06.
Keywords Neuroscience
MR Imaging
Reward system
Obesity
Childhood
Resource Type Dataset