Cited by 59Dementia and Cognitive Impairment ResearchAdvanced Neuroimaging Techniques and ApplicationsAlzheimer's disease research and treatments

Longitudinal White matter change in frontotemporal dementia subtypes and sporadic late onset Alzheimer’s disease

Open access
Elahi, Fanny M., Marx, Gabe, Cobigo, Yann, Staffaroni, Adam M., Kornak, John, Tosun, Duygu, Boxer, Adam L., Kramer, Joel H. +2 more·2017·NeuroImage: Clinical

Abstract

BACKGROUND: Degradation of white matter microstructure has been demonstrated in frontotemporal lobar degeneration (FTLD) and Alzheimer's disease (AD). In preparation for clinical trials, ongoing studies are investigating the utility of longitudinal brain imaging for quantification of disease progression. To date only one study has examined sample size calculations based on longitudinal changes in white matter integrity in FTLD. OBJECTIVE: To quantify longitudinal changes in white matter microstructural integrity in the three canonical subtypes of frontotemporal dementia (FTD) and AD using diffusion tensor imaging (DTI). METHODS: 60 patients with clinical diagnoses of FTD, including 27 with behavioral variant frontotemporal dementia (bvFTD), 14 with non-fluent variant primary progressive aphasia (nfvPPA), and 19 with semantic variant PPA (svPPA), as well as 19 patients with AD and 69 healthy controls were studied. We used a voxel-wise approach to calculate annual rate of change in fractional anisotropy (FA) and mean diffusivity (MD) in each group using two time points approximately one year apart. Mean rates of change in FA and MD in 48 atlas-based regions-of-interest, as well as global measures of cognitive function were used to calculate sample sizes for clinical trials (80% power, alpha of 5%). RESULTS: All FTD groups showed statistically significant baseline and longitudinal white matter degeneration, with predominant involvement of frontal tracts in the bvFTD group, frontal and temporal tracts in the PPA groups and posterior tracts in the AD group. Longitudinal change in MD yielded a larger number of regions with sample sizes below 100 participants per therapeutic arm in comparison with FA. SvPPA had the smallest sample size based on change in MD in the fornix (n = 41 participants per study arm to detect a 40% effect of drug), and nfvPPA and AD had their smallest sample sizes based on rate of change in MD within the left superior longitudinal fasciculus (n = 49 for nfvPPA, and n = 23 for AD). BvFTD generally showed the largest sample size estimates (minimum n = 140 based on MD in the corpus callosum). The corpus callosum appeared to be the best region for a potential study that would include all FTD subtypes. Change in global measure of functional status (CDR box score) yielded the smallest sample size for bvFTD (n = 71), but clinical measures were inferior to white matter change for the other groups. CONCLUSIONS: All three of the canonical subtypes of FTD are associated with significant change in white matter integrity over one year. These changes are consistent enough that drug effects in future clinical trials could be detected with relatively small numbers of participants. While there are some differences in regions of change across groups, the genu of the corpus callosum is a region that could be used to track progression in studies that include all subtypes.

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.2017.09.007

Cites

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?

Self-check

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

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

The citation lists haven’t been fetched yet

References 48 · Cited by 59

Authors
Elahi, F. M., Marx, G., Cobigo, Y., Staffaroni, A. M., Kornak, J., Tosun, D., Boxer, A. L., Kramer, J. H., Miller, B. L., & Rosen, H. J.
Affiliations
  • University of California, San Francisco (US)
  • San Francisco VA Medical Center (US)
Corresponding author
  • Elahi, Fanny M.
  • Rosen, Howard J.
Venue
NeuroImage: Clinical
Publisher
Elsevier BV
Published
2017
Volume
16
Pages
595-603
ISSN
2213-1582 (ISSN-L)
OpenAlex
W2755256217
Cited by
59
References
48
Citations by year
2026: 7 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 4 · 2021: 5 · 2020: 12 · 2019: 14 · 2018: 4 · 2017: 1
FWCI
6.95
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)
  • eScholarship (California Digital Library) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Institutes of Health (AG045333, AG045390, AG032306, AG019724, AG023501)
  • Hilblom Network (2014-A-004-NET)
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
frontotemporal dementia, Alzheimer's disease, white matter microstructure, longitudinal brain changes, sample size determination, clinical trial design, fractional anisotropy, mean diffusivity, behavioral variant frontotemporal dementia, primary progressive aphasia, semantic variant PPA, non-fluent variant PPA, fornix, corpus callosum, superior longitudinal fasciculus, disease progression
MeSH terms
Aged, Alzheimer Disease, Brain, Cross-Sectional Studies, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Retrospective Studies, Sample Size, Diffusion Tensor Imaging, Frontotemporal Dementia, 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