Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3

Talia M. Nir; Sophia I. Thomopoulos; Julio E. Villalon-Reina; Artemis Zavaliangos-Petropulu; Emily L. Dennis; Robert I. Reid; Matt A. Bernstein; Bret Borowski; Clifford R. Jack; Michael W. Weiner; Neda Jahanshad; Paul M. Thompson

doi:10.1109/ISBI.2019.8759486

Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3

Talia M. Nir, Sophia I. Thomopoulos, Julio E. Villalon-Reina, Artemis Zavaliangos-Petropulu, Emily L. Dennis, Robert I. Reid, Matt A. Bernstein, Bret Borowski, Clifford R. Jack, Michael W. Weiner, Neda Jahanshad, Paul M. Thompson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
Publisher	IEEE Computer Society
Pages	173-177
Number of pages	5
ISBN (Electronic)	9781538636411
DOIs	https://doi.org/10.1109/ISBI.2019.8759486
State	Published - Apr 2019
Event	16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, Italy Duration: Apr 8 2019 → Apr 11 2019

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2019-April
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
Country/Territory	Italy
City	Venice
Period	4/8/19 → 4/11/19

Keywords

ADNI3
DKI
DTI
Multi-shell
NODDI

ASJC Scopus subject areas

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/ISBI.2019.8759486

Cite this

Nir, T. M., Thomopoulos, S. I., Villalon-Reina, J. E., Zavaliangos-Petropulu, A., Dennis, E. L., Reid, R. I., Bernstein, M. A., Borowski, B., Jack, C. R., Weiner, M. W., Jahanshad, N., & Thompson, P. M. (2019). Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3. In ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging (pp. 173-177). [8759486] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/ISBI.2019.8759486

Multi-shell diffusion MRI measures of brain aging : A preliminary comparison from ADNI3. / Nir, Talia M.; Thomopoulos, Sophia I.; Villalon-Reina, Julio E. et al.

ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 2019. p. 173-177 8759486 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nir, TM, Thomopoulos, SI, Villalon-Reina, JE, Zavaliangos-Petropulu, A, Dennis, EL, Reid, RI, Bernstein, MA, Borowski, B, Jack, CR, Weiner, MW, Jahanshad, N & Thompson, PM 2019, Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3. in ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging., 8759486, Proceedings - International Symposium on Biomedical Imaging, vol. 2019-April, IEEE Computer Society, pp. 173-177, 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, 4/8/19. https://doi.org/10.1109/ISBI.2019.8759486

Nir TM, Thomopoulos SI, Villalon-Reina JE, Zavaliangos-Petropulu A, Dennis EL, Reid RI et al. Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3. In ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society. 2019. p. 173-177. 8759486. (Proceedings - International Symposium on Biomedical Imaging). doi: 10.1109/ISBI.2019.8759486

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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.}",

note = "Funding Information: Data collection and sharing for ADNI was funded by NIH grant U01 AG024904 and DOD award W81XWH-12-2-0012. Additional support was provided by NIA grant RF1 AG04191 and P41 EB015922. Publisher Copyright: {\textcopyright} 2019 IEEE.; 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 ; Conference date: 08-04-2019 Through 11-04-2019",

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AU - Borowski, Bret

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AU - Jahanshad, Neda

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N1 - Funding Information: Data collection and sharing for ADNI was funded by NIH grant U01 AG024904 and DOD award W81XWH-12-2-0012. Additional support was provided by NIA grant RF1 AG04191 and P41 EB015922. Publisher Copyright: © 2019 IEEE.

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N2 - 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.

AB - 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.

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Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

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