Cited by 121Dementia and Cognitive Impairment ResearchAdvanced Neuroimaging Techniques and ApplicationsAlzheimer's disease research and treatments

Longitudinal, region-specific course of diffusion tensor imaging measures in mild cognitive impairment and Alzheimer’s disease

Open access
Nowrangi, Milap A., Lyketsos, Constantine G., Leoutsakos, Jeannie‐Marie S., Oishi, Kenichi, Albert, Marilyn, Mori, Susumu, Mielke, Michelle M.·2013·Alzheimer's & Dementia

Abstract

BACKGROUND: Diffusion tensor imaging (DTI) is a promising method for identifying significant cross-sectional differences of white-matter tracts in normal controls (NC) and those with mild cognitive impairment (MCI) or Alzheimer's disease (AD). There have not been many studies establishing its longitudinal utility. METHODS: Seventy-five participants (25 NC, 25 amnestic MCI, and 25 AD) had 3-Tesla MRI scans and clinical evaluations at baseline and 3, 6, and 12 months. Fractional anisotropy (FA) and mean diffusivity (MD) were analyzed at each time-point and longitudinally in eight a priori-selected areas taken from four regions of interest (ROIs). RESULTS: Cross-sectionally, MD values were higher, and FA values lower in the fornix and splenium of the AD group compared with either MCI or NC (P < .01). Within-group change was more evident in MD than in FA over 12 months: MD increased in the inferior, anterior cingulum, and fornix in both the MCI and AD groups (P < .01). CONCLUSIONS: There were stable, cross-sectional, region-specific differences between the NC and AD groups in both FA and MD at each time-point over 12 months. Longitudinally, MD was a better indicator of change than FA. Significant increases of fornix MD in the MCI group suggest this is an early indicator of progression.

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.jalz.2012.05.2186

Cites

62 of 62 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?

  • For all analyses, mean diffusivity was used as the primary DTI measure in autosomal-dominant Alzheimer's disease because previous studies found mean diffusivity to be the most sensitive DTI marker to detect fibre tract alterations.

    “For all analyses, we used mean diffusivity as our primary DTI measure in autosomal-dominant Alzheimer’s disease, since previous studies found mean diffusivity to be the most sensitive DTI marker to detect fibre tract alterations (Clerx et al., 2012; Nowrangi et al., 2013).”

    From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as Nowrangi et al., 2013

    The Discussion (page not provided) says MD may be more sensitive to change over 12 months than FA, supporting the rationale for choosing MD. But the study examined normal controls, MCI, and AD—not autosomal-dominant AD—and its tentative longitudinal finding does not establish MD as the most sensitive DTI marker for detecting fibre-tract alterations generally. The citing authors’ choice to use MD for all analyses is their own method, not a finding attributed to this source. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

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

2 of the 64 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. [7]Alzheimer’s Association Press Release - New Guidelines for the Diagnosis of Alzheimer’s 2011 1 11
  2. [28]Zhang Y Schuff N Jahng GH Bayne W Mori S Schad L Diffusion tensor imaging of cingulum fibers in mild cognitive impairment and Alzheimer disease Neurology 2007 68 1 13 19 17200485 PMC1941719

Cited by

Sorted by citations

Authors
Nowrangi, M. A., Lyketsos, C. G., Leoutsakos, J. S., Oishi, K., Albert, M., Mori, S., & Mielke, M. M.
Affiliations
  • Johns Hopkins University (US)
  • Mayo Clinic (US)
Corresponding author
Nowrangi, Milap A.
Venue
Alzheimer's & Dementia
Publisher
Wiley
Published
2012-12-14
Volume
9
Issue
5
Pages
519-528
ISSN
  • 1552-5260 (ISSN-L)
  • 1552-5279
OpenAlex
W2030309279
Cited by
120
References
64
Citations by year
2026: 6 · 2025: 11 · 2024: 5 · 2023: 11 · 2022: 3 · 2021: 7 · 2020: 13 · 2019: 11 · 2018: 12 · 2017: 6 · 2016: 7 · 2015: 16 · 2014: 7 · 2013: 5
FWCI
6.36
Type
journal article
Language
en
Open access
Locations
  • Alzheimer s & Dementia (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • GlaxoSmithKline
  • National Institute on Aging (P50-AG005146, P50-AG021334, R21 AG033774)
  • National Institutes of Health (R21AG033774, P50AG005146)
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
mild cognitive impairment, Alzheimer's disease
MeSH terms
Aged, Alzheimer Disease, Brain, Female, Humans, Image Interpretation, Computer-Assisted, Longitudinal Studies, Male, Nerve Fibers, Myelinated, Anisotropy, Diffusion Magnetic Resonance Imaging, Cognitive Dysfunction

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