@inproceedings{9986bda7066e429c914b7fbe8d6ff399,
title = "Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3",
abstract = "The Alzheimer's Disease Neuroimaging Initiative (phase 3; ADNI3) is collecting multisite diffusion MRI (dMRI) data using protocols optimized for different scanner vendors, including one multi-shell protocol, to better understand disease effects. Here, we analyzed multi-shell scans from 56 ADNI3 participants (age: 74.3 \pm 7.5 yrs; 17F/49M). We evaluated whether multi-shell dMRI measures computed from neurite orientation dispersion and density imaging (NODDI) and diffusion kurtosis imaging (DKI) differentiated people with mild cognitive impairment from healthy controls with higher sensitivity than standard diffusion tensor imaging (DTI) measures. We also assessed the effects of various multi-shell derived dMRI samples on the sensitivity of DTI measures. While we did not identify large differences in effect sizes among tensor-based, NODDI, or DKI measures, we did detect greater effect sizes from DTI measures estimated using multi-shell data converted to single-shell HARDI compared to those fit using the subset of 48 b=1000s /mm -{2} volumes, typical of DTI.",
keywords = "ADNI3, DKI, DTI, Multi-shell, NODDI",
author = "Nir, {Talia M.} and Thomopoulos, {Sophia I.} and Villalon-Reina, {Julio E.} and Artemis Zavaliangos-Petropulu and Dennis, {Emily L.} and Reid, {Robert I.} and Bernstein, {Matt A.} and Bret Borowski and Jack, {Clifford R.} and Weiner, {Michael W.} and Neda Jahanshad and Thompson, {Paul M.}",
year = "2019",
month = apr,
doi = "10.1109/ISBI.2019.8759486",
language = "English (US)",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "173--177",
booktitle = "ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging",
note = "16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 ; Conference date: 08-04-2019 Through 11-04-2019",
}