Effects of de-facing software mri_reface on utility of imaging biomarkers used in Alzheimer's disease research.
Effects of de-facing software mri_reface on utility of imaging biomarkers used in Alzheimer's disease research.
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DOI:
10.1016/j.nicl.2023.103507
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Jack CR Jr
中科院分区:
文献类型:
--
作者:
Schwarz CG;Kremers WK;Weigand SD;Prakaashana CM;Senjem ML;Przybelski SA;Lowe VJ;Gunter JL;Kantarci K;Vemuri P;Graff-Radford J;Petersen RC;Knopman DS;Jack CR Jr
“de-facing” software is used to protect privacy of research imaging participants. We measured effects of mri_reface on analyses of AD research biomarkers. mri_reface did not significantly alter any imaging-biomarker correlations. Brain imaging research studies increasingly use “de-facing” software to remove or replace facial imagery before public data sharing. Several works have studied the effects of de-facing software on brain imaging biomarkers by directly comparing automated measurements from unmodified vs de-faced images, but most research brain images are used in analyses of correlations with cognitive measurements or clinical statuses, and the effects of de-facing on these types of imaging-to-cognition correlations has not been measured. In this work, we focused on brain imaging measures of amyloid (A), tau (T), neurodegeneration (N), and vascular (V) measures used in Alzheimer’s Disease (AD) research. We created a retrospective sample of participants from three age- and sex-matched clinical groups (cognitively unimpaired, mild cognitive impairment, and AD dementia, and we performed region- and voxel-wise analyses of: hippocampal volume (N), white matter hyperintensity volume (V), amyloid PET (A), and tau PET (T) measures, each from multiple software pipelines, on their ability to separate cognitively defined groups and their degrees of correlation with age and Clinical Dementia Rating (CDR)–Sum of Boxes (CDR-SB). We performed each of these analyses twice: once with unmodified images and once with images de-faced with leading de-facing software mri_reface, and we directly compared the findings and their statistical strengths between the original vs. the de-faced images. Analyses with original and with de-faced images had very high agreement. There were no significant differences between any voxel-wise comparisons. Among region-wise comparisons, only three out of 55 correlations were significantly different between original and de-faced images, and these were not significant after correction for multiple comparisons. Overall, the statistical power of the imaging data for AD biomarkers was almost identical between unmodified and de-faced images, and their analyses results were extremely consistent.
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影响因子:
4.8
作者:
Buimer EEL;Schnack HG;Caspi Y;van Haren NEM;Milchenko M;Pas P;Alzheimer's Disease Neuroimaging Initiative;Hulshoff Pol HE;Brouwer RM
通讯作者:
Brouwer RM
影响因子:
4.7
作者:
Rubbert C;Wolf L;Turowski B;Hedderich DM;Gaser C;Dahnke R;Caspers J;Alzheimer’s Disease Neuroimaging Initiative
通讯作者:
Alzheimer’s Disease Neuroimaging Initiative
影响因子:
5.7
作者:
Schwarz, Christopher G.;Kremers, Walter K.;Lowe, Val J.;Savvides, Marios;Gunter, Jeffrey L.;Senjem, Matthew L.;Vemuri, Prashanthi;Kantarci, Kejal;Knopman, David S.;Petersen, Ronald C.;Jack Jr, Clifford R.
通讯作者:
Jack Jr, Clifford R.
影响因子:
5.7
作者:
Fischl, Bruce
通讯作者:
Fischl, Bruce
影响因子:
5.7
作者:
Avants BB;Tustison NJ;Song G;Cook PA;Klein A;Gee JC
通讯作者:
Gee JC