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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 48 out of 100. Mild cognitive impairment

Topic: Amyloid, tau and blood-test diagnosis

Population-based brain mapping provides great insight into the trajectory of aging and dementia, as well as brain changes that normally occur over the human life span. We describe three novel brain mapping techniques, cortical thickness mapping, tensor-based morphometry (TBM), and hippocampal surface modeling, which offer enormous power for measuring disease progression in drug trials, and shed light on the neuroscience of brain degeneration in Alzheimer's disease (AD) and mild cognitive impairment (MCI). We report the first time-lapse maps of cortical atrophy spreading dynamically in the living brain, based on averaging data from populations of subjects with Alzheimer's disease and normal subjects imaged longitudinally with MRI. These dynamic sequences show a rapidly advancing wave of cortical atrophy sweeping from limbic and temporal cortices into higher-order association and ultimately primary sensorimotor areas, in a pattern that correlates with cognitive decline. A complementary technique, TBM, reveals the 3D profile of atrophic rates, at each point in the brain. A third technique, hippocampal surface modeling, plots the profile of shape alterations across the hippocampal surface. The three techniques provide moderate to highly automated analyses of images, have been validated on hundreds of scans, and are sensitive to clinically relevant changes in individual patients and groups undergoing different drug treatments. We compare time-lapse maps of AD, MCI, and other dementias, correlate these changes with cognition, and relate them to similar time-lapse maps of childhood development, schizophrenia, and HIV-associated brain degeneration. Strengths and weaknesses of these different imaging measures for basic neuroscience and drug trials are discussed.

Key findings

Why it matters

This paper describes three brain mapping techniques that can measure the spread of brain shrinkage over time and track disease progression in drug trials. It is about tools for monitoring, not about a treatment, cure, or prevention.

Study details

How this study scored 48/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 1 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 5 of 7; Citations per year 3 of 5; Impact for its field and year 4 of 6; Cited by studies here 3 of 6; Still being cited 2 of 4; Senior author's track record 4 of 4; Institution's track record 2 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. Total 48 of 100.48 of 100 points earned52 not earned

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Annals of the New York Academy of Sciences)
Journal's citation record 3 / 4 Annals of the New York Academy of Sciences: journal h-index 399 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
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 1 / 5 2007 — within 20 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 5 / 7 Cited 258 times (OpenAlex, 2026-10-10)
Citations per year 3 / 5 12.3 citations a year over 21 year(s) since 2007
Impact for its field and year 4 / 6 Cited 12.4× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 3 / 6 Cited by 10 other studies in this library
Still being cited 2 / 4 Cited 25 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 4 / 4 Last-listed author Arthur W. Toga: h-index 179 (OpenAlex, whole career)
Institution's track record 2 / 3 University of California, Los Angeles: institution h-index 1,923 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 3 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 17413023)
Free to read 0 / 2 Behind a paywall — scores zero
Total 48 / 100 —

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

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

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. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.

APA 7th

Thompson, P. M., Hayashi, K. M., Dutton, R. A., Chiang, M. C., Leow, A. D., Sowell, E. R., et al. (2007). Tracking Alzheimer's disease. Annals of the New York Academy of Sciences. https://doi.org/10.1196/annals.1379.017

Vancouver

Thompson PM, Hayashi KM, Dutton RA, Chiang MC, Leow AD, Sowell ER, et al. Tracking Alzheimer's disease. Annals of the New York Academy of Sciences. 2007. doi:10.1196/annals.1379.017. PMID: 17413023.

BibTeX

@article{thompson2007-17413023,
  author  = {Thompson, P. M. and Hayashi, K. M. and Dutton, R. A. and Chiang, M. C. and Leow, A. D. and Sowell, E. R. and De Zubicaray, G. and Becker, J. T. and others},
  title   = {{Tracking Alzheimer's disease}},
  journal = {Annals of the New York Academy of Sciences},
  year    = {2007},
  doi     = {10.1196/annals.1379.017},
  pmid    = {17413023},
  url     = {https://doi.org/10.1196/annals.1379.017}
}

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