Cited by 41Advanced Neuroimaging Techniques and ApplicationsAlzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Neurite orientation dispersion and density imaging reveals white matter and hippocampal microstructure changes produced by Interleukin-6 in the TgCRND8 mouse model of amyloidosis

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Colon-Perez, Luis M., Ibanez, Kristen R., Suarez, Mallory, Torroella, Kristin, Acuna, Kelly, Ofori, Edward, Levites, Yona, Vaillancourt, David E. +3 more·2019·NeuroImage

Abstract

Extracellular β-amyloid (Aβ) plaque deposits and inflammatory immune activation are thought to alter various aspects of tissue microstructure, such as extracellular free water, fractional anisotropy and diffusivity, as well as the density and geometric arrangement of axonal processes. Quantifying these microstructural changes in Alzheimer's disease and related neurodegenerative dementias could serve to monitor or predict disease course. In the present study we used high-field diffusion magnetic resonance imaging (dMRI) to investigate the effects of Aβ and inflammatory interleukin-6 (IL6), alone or in combination, on in vivo tissue microstructure in the TgCRND8 mouse model of Alzheimer's-type Aβ deposition. TgCRND8 and non-transgenic (nTg) mice expressing brain-targeted IL6 or enhanced glial fibrillary protein (EGFP controls) were scanned at 8 months of age using a 2-shell, 54-gradient direction dMRI sequence at 11.1 T. Images were processed using the diffusion tensor imaging (DTI) model or the neurite orientation dispersion and density imaging (NODDI) model. DTI and NODDI processing in TgCRND8 mice revealed a microstructure pattern in white matter (WM) and hippocampus consistent with radial and longitudinal diffusivity deficits along with an increase in density and geometric complexity of axonal and dendritic processes. This included reduced FA, mean, axial and radial diffusivity, and increased orientation dispersion (ODI) and intracellular volume fraction (ICVF) measured in WM and hippocampus. IL6 produced a 'protective-like' effect on WM FA in TgCRND8 mice, observed as an increased FA that counteracted a reduction in FA observed with endogenous Aβ production and accumulation. In addition, we found that ICVF and ODI had an inverse relationship with the functional connectome clustering coefficient. The relationship between NODDI and graph theory metrics suggests that currently unknown microstructure alterations in WM and hippocampus are associated with diminished functional network organization in the brain.

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  • NODDI provides enhanced sensitivity and specific metrics for detecting Alzheimer's disease-associated microstructural changes.

    “In contrast, NODDI provides enhanced sensitivity and specific metrics for detecting AD‐associated microstructural changes. 31 , 32 , 33”

    From Apolipoprotein ε4 exacerbates white matter impairment in a mouse model of Aβ amyloidosis by decreasing actively myelinating oligodendrocytes (2025) · cites this paper as [33]

    The Introduction (page not available in our copy) says NODDI provides metrics of axonal and dendritic dispersion and density and reports changes in young-onset Alzheimer’s disease. The Discussion reports changes in those metrics in an amyloidosis mouse model. These passages support the specific-metrics and detection portions of the claim, but do not establish enhanced sensitivity relative to another method. (LLM, conf=0.84)

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  • In another mouse model of Alzheimer's disease, greater NDI and ODI than controls were observed in WM and hippocampus.

    “Similarly, in another mouse model of Alzheimer's disease, greater NDI and ODI than controls were observed in WM and hippocampus (Colon-Perez et al., 2019).”

    From NODDI in clinical research (2020) · cites this paper as Colon-Perez et al., 2019

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Research works printed but not linked: 2

  1. Chakrabarty P, Ceballos-Diaz C, Beccard A, Janus C, Dickson D, Golde TE, Das P, 2010b IFN-gamma promotes complement expression and attenuates amyloid plaque deposition in amyloid beta precursor protein transgenic mice. Journal of immunology (Baltimore, Md: 1950) 184, 5333– 5343. PMC3798002 20368278
  2. Mirzaei N, Tang SP, Ashworth S, Coello C, Plisson C, Passchier J, Selvaraj V, Tyacke RJ, Nutt DJ, Sastre M, 2016 In vivo imaging of microglial activation by positron emission tomography with [(11)C]PBR28 in the 5XFAD model of Alzheimer’s disease. Glia 64, 993– 1006. 26959396

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Authors
Colon-Perez, L. M., Ibanez, K. R., Suarez, M., Torroella, K., Acuna, K., Ofori, E., Levites, Y., Vaillancourt, D. E., Golde, T. E., Chakrabarty, P., & Febo, M.
Affiliations
  • University of Florida (US)
  • University of Florida Health (US)
Corresponding author
  • Chakrabarty, Paramita
  • Febo, Marcelo
Venue
NeuroImage
Publisher
Elsevier BV
Published
2019-11
Volume
202
Pages
116138
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2971088730
Cited by
41
References
90
Citations by year
2026: 4 · 2025: 2 · 2024: 7 · 2023: 3 · 2022: 10 · 2021: 9 · 2020: 5 · 2019: 1
FWCI
4.13
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institutes of Health
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
Keywords
NODDI, interleukin-6, Alzheimer's disease, amyloidosis, white matter microstructure, hippocampus, intracellular volume fraction, orientation dispersion index, fractional anisotropy, diffusion tensor imaging, graph theory, neuroinflammation, brain microstructure
MeSH terms
Alzheimer Disease, Animals, Disease Models, Animal, Hippocampus, Mice, Transgenic, Nerve Net, Interleukin-6, Amyloid beta-Peptides, Neurites, Mice, Diffusion Tensor Imaging, White Matter, ErbB Receptors

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