Evaluating white matter microstructure in aging and age‐related cognitive impairment: A comparison of free‐water and NODDI ISOVF diffusion models

Abstract Background White matter (WM) abnormalities are prevalent in aging and neurodegenerative cognitive decline. This study compares single‐shell free‐water (FW) imaging and multi‐shell NODDI Isotropic Volume Fraction (ISOVF) in assessing WM microstructure and their associations with cognitive decline. Methods FW and ISOVF were quantified across 48 white matter tracts in cognitively unimpaired (CU) and impaired (MCI and AD dementia) individuals from ADNI and VMAP. Multi‐shell dMRI data (b=1000, 2000 s/mm2) were collated from 139 ADNI‐3 participants (age=75.9 ± 6.7; 56.8% female; 92.1% NHW) and 437 VMAP participants (age=65.8 ± 9.3; 57.0% female; 78.0% NHW). Memory and executive function composites were harmonized using ComBat. Covariates included age, sex, years of education, race, clinical status, and ApoE‐ε4 positivity. Analyses included linear correlations between FW and ISOVF, group comparisons, and age modeling via general linear models. Linear regression examined associations between tract‐specific metrics and cognitive composites, with bootstrapped comparisons testing differences in R2adj values between FW and ISOVF models. Results FW and ISOVF showed strong correlations across key white matter tracts (Figure 1), particularly in transcallosal (TC) pathways, with the highest correlations in the calcarine sulcus TC (r=0.784), lingual gyrus TC (r=0.780), and ILF (r=0.775). Group‐wise analyses revealed significant CU vs. MCI differences in all 48 tracts, most notably in the ILF (FW: p = 1.05×10‐15) and temporoparietal SLF (ISOVF: p = 4.36×10‐14). Age effects were significant across all 96 measures, with FW explaining marginally greater variance than ISOVF. The highest R2adj values were in the ILF for FW (54.82%) and ISOVF (47.73%). FW in the lateral (42.93%) and anterior (47.84%) orbital gyri TC best explained memory variance, while FW in the ILF (51.98%) and ISOVF in the inferior parietal lobule TC (51.59%) best explained executive function. Bootstrapped comparisons identified significant R2adj differences between FW and ISOVF in 10 tracts for memory and 14 tracts for executive function, including the ILF, SLF, UF, and superior temporal gyrus TC. Conclusion Both bi‐tensor FW and NODDI ISOVF showed robust associations with age and cognitive performance, varying in magnitude and tract specificity. FW and ISOVF provided largely comparable insights, highlighting their complementary value for understanding white matter health in neurodegenerative research.

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Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_105013
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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article

Evaluating white matter microstructure in aging and age‐related cognitive impairment: A comparison of free‐water and NODDI ISOVF diffusion models

Panpan Zhang, Niranjana Shashikumar, Corey J. Bolton, DEREK ARCHER et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Evaluating white matter microstructure in aging and age‐related cognitive impairment: A comparison of free‐water and NODDI ISOVF diffusion models

Panpan Zhang, Niranjana Shashikumar, Corey J. Bolton, DEREK ARCHER, Aditi Sathe, Angela L. Jefferson, Brandon Klinedinst, Kurt Schilling, Paul K Crane, Alzheimer's Disease Neuroimaging Initiative (ADNI), Shubhabrata Mukherjee, Andrew J. Saykin, Bennett A. Landman, Shannon L Risacher, Phoebe Scollard, Kimberly R. Pechman, Seo‐Eun Choi, Michael L. Lee
article en

Abstract

Abstract Background White matter (WM) abnormalities are prevalent in aging and neurodegenerative cognitive decline. This study compares single‐shell free‐water (FW) imaging and multi‐shell NODDI Isotropic Volume Fraction (ISOVF) in assessing WM microstructure and their associations with cognitive decline. Methods FW and ISOVF were quantified across 48 white matter tracts in cognitively unimpaired (CU) and impaired (MCI and AD dementia) individuals from ADNI and VMAP. Multi‐shell dMRI data (b=1000, 2000 s/mm2) were collated from 139 ADNI‐3 participants (age=75.9 ± 6.7; 56.8% female; 92.1% NHW) and 437 VMAP participants (age=65.8 ± 9.3; 57.0% female; 78.0% NHW). Memory and executive function composites were harmonized using ComBat. Covariates included age, sex, years of education, race, clinical status, and ApoE‐ε4 positivity. Analyses included linear correlations between FW and ISOVF, group comparisons, and age modeling via general linear models. Linear regression examined associations between tract‐specific metrics and cognitive composites, with bootstrapped comparisons testing differences in R2adj values between FW and ISOVF models. Results FW and ISOVF showed strong correlations across key white matter tracts (Figure 1), particularly in transcallosal (TC) pathways, with the highest correlations in the calcarine sulcus TC (r=0.784), lingual gyrus TC (r=0.780), and ILF (r=0.775). Group‐wise analyses revealed significant CU vs. MCI differences in all 48 tracts, most notably in the ILF (FW: p = 1.05×10‐15) and temporoparietal SLF (ISOVF: p = 4.36×10‐14). Age effects were significant across all 96 measures, with FW explaining marginally greater variance than ISOVF. The highest R2adj values were in the ILF for FW (54.82%) and ISOVF (47.73%). FW in the lateral (42.93%) and anterior (47.84%) orbital gyri TC best explained memory variance, while FW in the ILF (51.98%) and ISOVF in the inferior parietal lobule TC (51.59%) best explained executive function. Bootstrapped comparisons identified significant R2adj differences between FW and ISOVF in 10 tracts for memory and 14 tracts for executive function, including the ILF, SLF, UF, and superior temporal gyrus TC. Conclusion Both bi‐tensor FW and NODDI ISOVF showed robust associations with age and cognitive performance, varying in magnitude and tract specificity. FW and ISOVF provided largely comparable insights, highlighting their complementary value for understanding white matter health in neurodegenerative research.

Alzheimer s & DementiaVol. 21(S2)
Vanderbilt University (US), University of Washington (US), VA Puget Sound Health Care System (US), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US), Vanderbilt University Medical Center (US)
Clean water and sanitation
Openalex Percentile: Top 28%
Dementia and Cognitive Impairment Research
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