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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 45 out of 100. Biomarkers

Topic: Amyloid, tau and blood-test diagnosis

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. 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; P = .04). There was no significant relationship between cortical global amyloid burden and EYO among mutation carriers ( P > .05). Conclusion White matter structural connectivity was lower in autosomal dominant Alzheimer disease mutation carriers compared with noncarriers and correlated with estimated years to symptom onset.

Key findings

Why it matters

In this cross-sectional study of people with autosomal dominant Alzheimer disease mutations, carriers had lower structural connectivity in one brain network than noncarriers, and this correlated with estimated years to symptom onset. No significant relationship was found between global cortical amyloid burden and estimated years to symptom onset.

Study details

How this study scored 45/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 4 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 3 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 3 of 7; Citations per year 2 of 5; Impact for its field and year 2 of 6; Cited by studies here 1 of 6; Still being cited 1 of 4; Senior author's track record left out, no data; Institution's track record 2 of 3; Multi-centre collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. 43 of the 96 points it could be judged on, which is 45 of 100. Total 45 of 100.43 of the 96 points we could judge = 45 of 100

Published in a peer-reviewed journal, and it is a snapshot of people at one point in time. Scored zero for sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 43 of the 96 points we could judge it on, which is 45 out of 100.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Radiology)
Journal's citation record 3 / 4 Radiology: journal h-index 431 (OpenAlex, 2026-10-29)
Study design 4 / 12 A snapshot of people at one point in time
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 3 / 5 2022 — within 6 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 3 / 7 Cited 21 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 3.5 citations a year over 6 year(s) since 2022
Impact for its field and year 2 / 6 Cited 1.9× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 1 / 6 Cited by 1 other studies in this library
Still being cited 1 / 4 Cited 11 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record — / 4 Senior author's record not available — left out of this score
Institution's track record 2 / 3 Washington University in St. Louis: institution h-index 1,962 (OpenAlex)
Multi-centre collaboration 2 / 3 OpenAlex lists 5 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 34636637)
Free to read 0 / 2 Behind a paywall — scores zero
Points 43 / 96 Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 43 of the 96 points we could judge it on is 45 out of 100.
Total 45 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — PubMed Central lists this copy as free to read: the link above (checked 10 Oct 2026).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Prescott, J. W., Doraiswamy, P. M., Gamberger, D., Benzinger, T., Petrella, JR., & Dominantly Inherited Alzheimer Network. (2022). Diffusion Tensor MRI Structural Connectivity and PET Amyloid Burden in Preclinical Autosomal Dominant Alzheimer Disease: The DIAN Cohort. Radiology. https://doi.org/10.1148/radiol.2021210383

Vancouver

Prescott JW, Doraiswamy PM, Gamberger D, Benzinger T, Petrella JR, Dominantly Inherited Alzheimer Network. Diffusion Tensor MRI Structural Connectivity and PET Amyloid Burden in Preclinical Autosomal Dominant Alzheimer Disease: The DIAN Cohort. Radiology. 2022. doi:10.1148/radiol.2021210383. PMID: 34636637.

BibTeX

@article{prescott2022-34636637,
  author  = {Prescott, J. W. and Doraiswamy, P. M. and Gamberger, D. and Benzinger, T. and Petrella, JR. and {Dominantly Inherited Alzheimer Network}},
  title   = {{Diffusion Tensor MRI Structural Connectivity and PET Amyloid Burden in Preclinical Autosomal Dominant Alzheimer Disease: The DIAN Cohort}},
  journal = {Radiology},
  year    = {2022},
  doi     = {10.1148/radiol.2021210383},
  pmid    = {34636637},
  url     = {https://doi.org/10.1148/radiol.2021210383}
}

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