Evidence map›Paper›PMID 34636637›Full record

ArticleRadiology2022

Diffusion Tensor MRI Structural Connectivity and PET Amyloid Burden in Preclinical Autosomal Dominant Alzheimer Disease: The DIAN Cohort.

Jeffrey W Prescott, P Murali Doraiswamy, Dragan Gamberger, Tammie Benzinger, Jeffrey R Petrella, Dominantly Inherited Alzheimer Network

Open access · greenAbstract read
In one paragraph

Article in Radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Longitudinal diffusion tensor imaging correlates with amyloid burden in Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  6. Article
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  9. Article
  10. Article
  11. Article
  12. Alzheimer's disease: an axonal injury disease?Frontiers in aging neuroscience · 2023
    Review
  13. White matter dementia then… and now.Frontiers in neurology · 2022
    Review
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jeffrey W PrescottFrom the Department of Radiology, The MetroHealth System, 2500 MetroHealth Dr, Cleveland, OH 44109 (J.W.P.); Departments of Radiology (J.W.P., J.R.P.) and Psychiatry (P.M.D.), Duke University Medical Center, Durham, NC; Ruđer Bošković Institute, Zagreb, Croatia (D.G.); and Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.B.).ORCID 0000-0002-7810-2627
P Murali DoraiswamyFrom the Department of Radiology, The MetroHealth System, 2500 MetroHealth Dr, Cleveland, OH 44109 (J.W.P.); Departments of Radiology (J.W.P., J.R.P.) and Psychiatry (P.M.D.), Duke University Medical Center, Durham, NC; Ruđer Bošković Institute, Zagreb, Croatia (D.G.); and Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.B.).
Dragan GambergerFrom the Department of Radiology, The MetroHealth System, 2500 MetroHealth Dr, Cleveland, OH 44109 (J.W.P.); Departments of Radiology (J.W.P., J.R.P.) and Psychiatry (P.M.D.), Duke University Medical Center, Durham, NC; Ruđer Bošković Institute, Zagreb, Croatia (D.G.); and Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.B.).ORCID 0000-0002-9008-6156
Tammie BenzingerFrom the Department of Radiology, The MetroHealth System, 2500 MetroHealth Dr, Cleveland, OH 44109 (J.W.P.); Departments of Radiology (J.W.P., J.R.P.) and Psychiatry (P.M.D.), Duke University Medical Center, Durham, NC; Ruđer Bošković Institute, Zagreb, Croatia (D.G.); and Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.B.).
Jeffrey R PetrellaFrom the Department of Radiology, The MetroHealth System, 2500 MetroHealth Dr, Cleveland, OH 44109 (J.W.P.); Departments of Radiology (J.W.P., J.R.P.) and Psychiatry (P.M.D.), Duke University Medical Center, Durham, NC; Ruđer Bošković Institute, Zagreb, Croatia (D.G.); and Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.B.).ORCID 0000-0003-2596-217X
Dominantly Inherited Alzheimer NetworkFrom the Department of Radiology, The MetroHealth System, 2500 MetroHealth Dr, Cleveland, OH 44109 (J.W.P.); Departments of Radiology (J.W.P., J.R.P.) and Psychiatry (P.M.D.), Duke University Medical Center, Durham, NC; Ruđer Bošković Institute, Zagreb, Croatia (D.G.); and Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (T.B.).
MetroHealth · US

Funding

Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
Dominantly Inherited Alzheimer NetworkUF1AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2014 to 2017
$21.6M
PURCHASE OF A SIEMENS NEXT GENERATION PET/CTS10OD025214 · OD · WASHINGTON UNIVERSITY · PI WOODARD, PAMELA K · 2018 to 2018
$2.0M
NIA NIH HHS U19 AG032438NIA NIH HHS UF1 AG032438NIH HHS S10 OD025214
6 · The paper itself

Abstract

Background Pathologic evidence of Alzheimer disease (AD) is detectable years before onset of clinical symptoms. Imaging-based identification of structural changes of the brain in people at genetic risk for early-onset AD may provide insights into how genes influence the pathologic cascade that leads to dementia. Purpose To assess structural connectivity differences in cortical networks between cognitively normal autosomal dominant Alzheimer disease (ADAD) mutation carriers versus noncarriers and to determine the cross-sectional relationship of structural connectivity and cortical amyloid burden with estimated years to symptom onset (EYO) of dementia in carriers. Materials and Methods In this exploratory analysis of a prospective trial, all participants enrolled in the Dominantly Inherited Alzheimer Network between January 2009 and July 2014 who had normal cognition at baseline, T1-weighted MRI scans, and diffusion tensor imaging (DTI) were analyzed. Amyloid PET imaging using Pittsburgh compound B was also analyzed for mutation carriers. Areas of the cerebral cortex were parcellated into three cortical networks: the default mode network, frontoparietal control network, and ventral attention network. The structural connectivity of the three networks was calculated from DTI. General linear models were used to examine differences in structural connectivity between mutation carriers and noncarriers and the relationship between structural connectivity, amyloid burden, and EYO in mutation carriers. Correlation network analysis was performed to identify clusters of related clinical and imaging markers. Results There were 30 mutation carriers (mean age ± standard deviation, 34 years ± 10; 17 women) and 38 noncarriers (mean age, 37 years ± 10; 20 women). There was lower structural connectivity in the frontoparietal control network in mutation carriers compared with noncarriers (estimated effect of mutation-positive status, -0.0266;

Indexed as

Genetic Predisposition to DiseaseAdultAlzheimer DiseaseAmyloidBrainCohort StudiesDiffusion Tensor ImagingFemaleHumansMalePositron-Emission TomographyProspective StudiesAmyloid

Identifiers

PMID34636637
PMCPMC9127824
OpenAlexW3206110865

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.