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Cited by 23Advanced Neuroimaging Techniques and ApplicationsDementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

NODDI in gray matter is a sensitive marker of aging and early AD changes

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Yu, Xi, Przybelski, Scott A., Reid, Robert I., Lesnick, Timothy G., Raghavan, Sheelakumari, Graff‐Radford, Jonathan, Lowe, Val J., Kantarci, Kejal +4 more·2024·Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
DOI 10.1002/dad2.12627PMC PMC11284641
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Abstract

INTRODUCTION: Age‐related and Alzheimer's disease (AD) dementia–related neurodegeneration impact brain health. While morphometric measures from T1‐weighted scans are established biomarkers, they may be less sensitive to earlier changes. Neurite orientation dispersion and density imaging (NODDI), offering biologically meaningful interpretation of tissue microstructure, may be an advanced brain health biomarker. METHODS: We contrasted regional gray matter NODDI and morphometric evaluations concerning their correlation with (1) age, (2) clinical diagnosis stage, and (3) tau pathology as assessed by AV1451 positron emission tomography. RESULTS: Our study hypothesizes that NODDI measures are more sensitive to aging and early AD changes than morphometric measures. One NODDI output, free water fraction (FWF), showed higher sensitivity to age‐related changes, generally better effect sizes in separating mild cognitively impaired from cognitively unimpaired participants, and stronger associations with regional tau deposition than morphometric measures. DISCUSSION: These findings underscore NODDI's utility in capturing early neurodegenerative changes and enhancing our understanding of aging and AD. Highlights: Neurite orientation dispersion and density imaging can serve as an effective brain health biomarker for aging and early Alzheimer's disease (AD). Free water fraction has higher sensitivity to normal brain aging. Free water fraction has stronger associations with early AD and regional tau deposition.

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Cited by

Sorted by citations

Authors
Yu, X., Przybelski, S. A., Reid, R. I., Lesnick, T. G., Raghavan, S., Graff‐Radford, J., Lowe, V. J., Kantarci, K., Knopman, D. S., Petersen, R. C., Jack, C. R., & Vemuri, P.
Affiliations
Mayo Clinic (US)
Corresponding author
Vemuri, Prashanthi
ORCID
Venue
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
Publisher
Wiley
Published
2024-07
Volume
16
Issue
3
Pages
e12627-e12627
ISSN
2352-8729 (ISSN-L)
DOI
10.1002/dad2.12627
PMC
PMC11284641
OpenAlex
W4401090831
Cited by
23
References
7
Citations by year
2026: 10 · 2025: 13
FWCI
5.86
Type
journal article
Language
en
Open access
Licence
Locations
  • Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Institutes of Health (U01 AG006786, R01 AG056366, R01 AG034676, R37 AG011378, R01 AG041851, R01 NS097495, P30 AG062677, RF1 AG069052)
  • GHR Foundation
  • Mayo Foundation for Medical Education and Research
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Keywords
NODDI, gray matter microstructure, brain aging, early Alzheimer's disease, free water fraction, tau pathology, mild cognitive impairment, neurodegeneration biomarkers, T1-weighted imaging

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