Cited by 136Dementia and Cognitive Impairment ResearchAdvanced Neuroimaging Techniques and ApplicationsAlzheimer's disease research and treatments

Associations between white matter microstructure and amyloid burden in preclinical Alzheimer’s disease: a multimodal imaging investigation.

Open access
Racine, Annie M., Adluru, Nagesh, Alexander, Andrew L., Christian, Bradley T., Okonkwo, Ozioma C., Oh, Jennifer, Cleary, Caitlin A., Birdsill, Alex +11 more·2014·NeuroImage: Clinical

Abstract

Some cognitively healthy individuals develop brain amyloid accumulation, suggestive of incipient Alzheimer's disease (AD), but the effect of amyloid on other potentially informative imaging modalities, such as Diffusion Tensor Imaging (DTI), in characterizing brain changes in preclinical AD requires further exploration. In this study, a sample (N = 139, mean age 60.6, range 46 to 71) from the Wisconsin Registry for Alzheimer's Prevention (WRAP), a cohort enriched for AD risk factors, was recruited for a multimodal imaging investigation that included DTI and [C-11]Pittsburgh Compound B (PiB) positron emission tomography (PET). Participants were grouped as amyloid positive (Aβ+), amyloid indeterminate (Aβi), or amyloid negative (Aβ-) based on the amount and pattern of amyloid deposition. Regional voxel-wise analyses of four DTI metrics, fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (Da), and radial diffusivity (Dr), were performed based on amyloid grouping. Three regions of interest (ROIs), the cingulum adjacent to the corpus callosum, hippocampal cingulum, and lateral fornix, were selected based on their involvement in the early stages of AD. Voxel-wise analysis revealed higher FA among Aβ+ compared to Aβ- in all three ROIs and in Aβi compared to Aβ- in the cingulum adjacent to the corpus callosum. Follow-up exploratory whole-brain analyses were consistent with the ROI findings, revealing multiple regions where higher FA was associated with greater amyloid. Lower fronto-lateral gray matter MD was associated with higher amyloid burden. Further investigation showed a negative correlation between MD and PiB signal, suggesting that Aβ accumulation impairs diffusion. Interestingly, these findings in a largely presymptomatic sample are in contradistinction to relationships reported in the literature in symptomatic disease stages of Mild Cognitive Impairment and AD, which usually show higher MD and lower FA. Together with analyses showing that cognitive function in these participants is not associated with any of the four DTI metrics, the present results suggest an early relationship between PiB and DTI, which may be a meaningful indicator of the initiating or compensatory mechanisms of AD prior to cognitive decline.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.nicl.2014.02.001

Cites

100 of 100 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Recent evidence in patients indicates that this increase in FA could be related to soluble Aβ rising in the early stage of AD.

    “Recent evidence in patients indicates that this increase in FA could be related to soluble Aβ rising in the early stage of AD (Racine et al., 2014).”

    From Early stage alterations in white matter and decreased functional interhemispheric hippocampal connectivity in the 3xTg mouse model of Alzheimer’s disease. (2019) · cites this paper as Racine et al., 2014

    The Results (Region of interest; Whole brain) report higher FA in participants with greater amyloid burden, consistent with an association in preclinical AD. But the paper measured amyloid deposition using PiB PET, not rising soluble Aβ, and the Discussion states that all participants were cognitively normal rather than patients with symptomatic AD. Page numbers are unavailable in our copy. (LLM, conf=0.89)

    Experimental — accuracy not yet measured
  • DTI metrics or structural connectome alterations showed correlations with amyloid burden or levels of cerebrospinal fluid amyloid and tau.

    “Diffusion tensor imaging (DTI) metrics or structural connectome alterations showed correlations with amyloid burden (Racine et al., 2014) or levels of cerebrospinal fluid amyloid and tau (Tucholka et al., 2018).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. Lezak M.D. Neuropsychological Assessment Fourth ed. 2004 Oxford University Press New York, New York
  2. Pfefferbaum A. Sullivan E.V. Hedehus M. Lim K.O. Adalsteinsson E. Moseley M. Age-related decline in brain white matter anisotropy measured with spatially corrected echo-planar diffusion tensor imaging Magn. Reson. Med. 44 2000 259 268 10918325

Cited by

Sorted by citations

Authors
Racine, A. M., Adluru, N., Alexander, A. L., Christian, B. T., Okonkwo, O. C., Oh, J., Cleary, C. A., Birdsill, A., Hillmer, A. T., Murali, D., Barnhart, T. E., Gallagher, C. L., Carlsson, C. M., Rowley, H. A., Dowling, N. M., Asthana, S., Sager, M. A., Bendlin, B. B., & Johnson, S. C.
Affiliations
  • University of Wisconsin–Madison (US)
  • University of Wisconsin System (US)
Corresponding author
Johnson, Sterling C.
Venue
NeuroImage: Clinical
Publisher
Elsevier BV
Published
2014
Volume
4
Pages
604-614
ISSN
2213-1582 (ISSN-L)
OpenAlex
W2060171712
Cited by
136
References
100
Citations by year
2026: 7 · 2025: 8 · 2024: 11 · 2023: 7 · 2022: 7 · 2021: 11 · 2020: 15 · 2019: 12 · 2018: 16 · 2017: 12 · 2016: 11 · 2015: 15 · 2014: 2
FWCI
10.18
Type
journal article
Language
en
Open access
Locations
  • NeuroImage Clinical (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • NIH (AG021155, AG000213, AG027161, AG037639, AG033514)
  • Veterans Administration Merit Review Grant (I01CX000165)
  • Alzheimer's Association
  • Clinical and Translational Science Award (UL1RR025011)
  • University of Wisconsin, Madison
  • NSF (0849122)
  • Helen Bader Foundation
  • Northwestern Mutual Foundation
  • Extendicare Foundation
  • Veterans Administration
  • Waisman Center, University of Wisconsin-Madison
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
Keywords
preclinical Alzheimer's disease, brain amyloid burden, white matter microstructure, diffusion tensor imaging, fractional anisotropy, mean diffusivity, PiB PET, Pittsburgh compound B, cingulum, Wisconsin Registry for Alzheimer's Prevention, multimodal neuroimaging, compensatory mechanisms
MeSH terms
Aged, Alzheimer Disease, Brain, Female, Humans, Male, Middle Aged, Sensitivity and Specificity, Reproducibility of Results, Amyloid beta-Peptides, Positron-Emission Tomography, Diffusion Tensor Imaging, Molecular Imaging, Multimodal Imaging, White Matter

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review