Cited by 55Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsFunctional Brain Connectivity Studies

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

Open access
Huang, Meiyan, Yang, Wei, Feng, Qianjin, Chen, Wufan, The Alzheimer’s Disease Neuroimaging Initiative, Weiner, Michael W., Aisen, Paul, Petersen, Ronald +237 more·2017·Scientific Reports

Abstract

Accurate prediction of Alzheimer's disease (AD) is important for the early diagnosis and treatment of this condition. Mild cognitive impairment (MCI) is an early stage of AD. Therefore, patients with MCI who are at high risk of fully developing AD should be identified to accurately predict AD. However, the relationship between brain images and AD is difficult to construct because of the complex characteristics of neuroimaging data. To address this problem, we present a longitudinal measurement of MCI brain images and a hierarchical classification method for AD prediction. Longitudinal images obtained from individuals with MCI were investigated to acquire important information on the longitudinal changes, which can be used to classify MCI subjects as either MCI conversion (MCIc) or MCI non-conversion (MCInc) individuals. Moreover, a hierarchical framework was introduced to the classifier to manage high feature dimensionality issues and incorporate spatial information for improving the prediction accuracy. The proposed method was evaluated using 131 patients with MCI (70 MCIc and 61 MCInc) based on MRI scans taken at different time points. Results showed that the proposed method achieved 79.4% accuracy for the classification of MCIc versus MCInc, thereby demonstrating very promising performance for AD prediction.

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 · 10.1038/srep39880

Cites

4 of 4 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?

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

Cited by

Sorted by citations

Authors
Huang, M., Yang, W., Feng, Q., Chen, W., Initiative, T. A. D. N., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Saykin, A. J., Morris, J., Shaw, L. M., Kaye, J., Quinn, J., Silbert, L., Lind, B., Carter, R., Dolen, S., Schneider, L. S., Pawluczyk, S., Beccera, M., Teodoro, L., Spann, B. M., Brewer, J., Vanderswag, H., Fleisher, A., Heidebrink, J. L., Lord, J. L., Mason, S. S., Albers, C. S., Knopman, D., Johnson, K., Doody, R. S., Villanueva-Meyer, J., Chowdhury, M., Rountree, S., Dang, M., Stern, Y., Honig, L. S., Bell, K. L., Ances, B., Morris, J. C., Carroll, M., Creech, M. L., Franklin, E., Mintun, M. A., Schneider, S., Oliver, A., Marson, D., Griffith, R., Clark, D., Geldmacher, D., Brockington, J., Roberson, E., Love, M. N., Grossman, H., Mitsis, E., Shah, R. C., deToledo-Morrell, L., Duara, R., Varon, D., Greig, M. T., Roberts, P., Albert, M., Onyike, C., D’Agostino, D., Kielb, S., Galvin, J. E., Cerbone, B., Michel, C. A., Pogorelec, D. M., Rusinek, H., de Leon, M. J., Glodzik, L., De Santi, S., Doraiswamy, P. M., Petrella, J. R., Borges-Neto, S., Wong, T. Z., Coleman, E., Smith, C. D., Jicha, G., Hardy, P., Sinha, P., Oates, E., Conrad, G., Porsteinsson, A. P., Goldstein, B. S., Martin, K., Makino, K. M., Ismail, M. S., Brand, C., Mulnard, R. A., Thai, G., Mc-Adams-Ortiz, C., Womack, K., Mathews, D., Quiceno, M., Levey, A. I., Lah, J. J., Cellar, J. S., Burns, J. M., Swerdlow, R. H., Brooks, W. M., Apostolova, L., Tingus, K., Woo, E., Silverman, D. H. S., Lu, P. H., Bartzokis, G., Graff-Radford, N. R., Parfitt, F., Kendall, T., Johnson, H., Farlow, M. R., Hake, A. M., Matthews, B. R., Brosch, J. R., Herring, S., Hunt, C., van Dyck, C. H., Carson, R. E., MacAvoy, M. G., Varma, P., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Hsiung, G.-Y. R., Feldman, H., Mudge, B., Assaly, M., Finger, E., Pasternack, S., Rachisky, I., Trost, D., Kertesz, A., Bernick, C., Munic, D., Mesulam, M. M., Lipowski, K., Weintraub, S., Bonakdarpour, B., Kerwin, D., Wu, C.-K., Johnson, N., Sadowsky, C., Villena, T., Turner, R. S., Johnson, K., Reynolds, B., Sperling, R. A., Johnson, K. A., Marshall, G., Yesavage, J., Taylor, J. L., Lane, B., Rosen, A., Tinklenberg, J., Sabbagh, M. N., Belden, C. M., Jacobson, S. A., Sirrel, S. A., Kowall, N., Killiany, R., Budson, A. E., Norbash, A., Johnson, P. L., Obisesan, T. O., Wolday, S., Allard, J., Lerner, A., Ogrocki, P., Tatsuoka, C., Fatica, P., Fletcher, E., Maillard, P., Olichney, J., DeCarli, C., Carmichael, O., Kittur, S., Borrie, M., Lee, T.-Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C. M., Potkin, S. G., Preda, A., Nguyen, D., Tariot, P., Burke, A., Trncic, N., Fleisher, A., Reeder, S., Bates, V., Capote, H., Rainka, M., Scharre, D. W., Kataki, M., Adeli, A., Zimmerman, E. A., Celmins, D., Brown, A. D., Pearlson, G. D., Blank, K., Anderson, K., Flashman, L. A., Seltzer, M., Hynes, M. L., Santulli, R. B., Sink, K. M., Gordineer, L., Williamson, J. D., Garg, P., Watkins, F., Ott, B. R., Querfurth, H., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H. J., Miller, B. L., Perry, D., Mintzer, J., Spicer, K., Bachman, D., Pomara, N., Hernando, R., Sarrael, A., Relkin, N., Chaing, G., Lin, M., Ravdin, L., Smith, A., Raj, B. A., & Fargher, K.
Affiliations
  • Southern Medical University (CN)
  • University of California, San Francisco (US)
  • Mayo Clinic (US)
  • University of Pennsylvania (US)
  • University of Southern California (US)
  • Brigham and Women's Hospital (US)
  • Washington University in St. Louis (US)
  • Oregon Health & Science University (US)
  • University of California San Diego (US)
  • University of Michigan (US)
  • Baylor College of Medicine (US)
  • Columbia University Irving Medical Center (US)
  • University of Alabama at Birmingham (US)
  • Icahn School of Medicine at Mount Sinai (US)
  • Rush University Medical Center (US)
  • Johns Hopkins University (US)
  • New York University (US)
  • Duke Medical Center (US)
  • University of Kentucky (US)
  • University of Rochester Medicine (US)
  • University of California, Irvine (US)
  • The University of Texas Southwestern Medical Center (US)
  • Emory University (US)
  • University of Kansas (US)
  • University of California, Los Angeles (US)
  • Mayo Clinic in Florida (US)
  • Indiana University (US)
  • Yale University (US)
  • Jewish General Hospital (CA)
  • Sunnybrook Health Science Centre (CA)
  • Cleveland Clinic (US)
  • Northwestern University (US)
  • Palm Beach Neurology (US)
  • Georgetown University Medical Center (US)
  • Stanford University (US)
  • Banner Sun Health Research Institute (US)
  • Boston University (US)
  • Howard University (US)
  • Case Western Reserve University (US)
  • University of California, Davis (US)
  • Banner Alzheimer’s Institute (US)
  • Dent Neurologic Institute (US)
  • The Ohio State University (US)
  • Albany Medical College (US)
  • Hartford Hospital (US)
  • Dartmouth–Hitchcock Medical Center (US)
  • Wake Forest University Health Sciences (US)
  • Rhode Island Hospital (US)
  • Butler Hospital (US)
  • Medical University of South Carolina (US)
  • Nathan Kline Institute for Psychiatric Research (US)
  • Cornell University (US)
  • University of South Florida (US)
Corresponding author
Feng, Qianjin
ORCID
Venue
Scientific Reports
Published
2017-01-12
Volume
7
Issue
1
Pages
39880-39880
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2575828404
Cited by
55
References
4
Citations by year
2026: 1 · 2025: 3 · 2024: 1 · 2023: 7 · 2022: 5 · 2021: 6 · 2020: 6 · 2019: 13 · 2018: 9 · 2017: 4
FWCI
7.19
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • UKnowledge (University of Kentucky) (submittedVersion, cc-by)
  • Scholarship@Western (Western University) (submittedVersion)
Funders
  • Foundation for the National Institutes of Health (U01AG024904, Grant U01 AG024904, AG024904)
  • Alzheimer's Association (U01 AG024904)
  • Bristol-Myers Squibb (U01 AG024904, AG024904)
  • Eli Lilly and Company (U01 AG024904, AG024904)
  • AstraZeneca
  • GlaxoSmithKline
  • Novartis
  • University of Southern California (U01 AG024904)
  • F. Hoffmann-La Roche (AG024904, U01 AG024904)
  • Medpace (U01 AG024904)
  • Synarc (U01 AG024904)
  • Alzheimer's Disease Neuroimaging Initiative (U01AG024904, AG024904)
  • Northern California Institute for Research and Education (U01 AG024904)
  • National Natural Science Foundation of China (U15012561016942, 31371009, U01 AG024904, 81601562, 2015B010131011)
  • Elan (U01 AG024904)
  • Eisai (U01 AG024904, AG024904)
  • National Institutes of Health (3u01ag024904-10s2, U01-AG024904, Grant U01 AG024904, AG024904)
  • Genentech (AG024904, U01 AG024904)
  • University of California, San Diego
  • Science and Technology Planning Project of Guangdong Province (2015B010131011)
  • National Institute on Aging (U01-AG-024904, P30AG010129, AG 024904, P50AG005142)
  • National Institute of Biomedical Imaging and Bioengineering (U01 AG024904, AG024904)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
Alzheimer's disease prediction, mild cognitive impairment, MCI conversion, longitudinal brain MRI, hierarchical classification, dimensionality reduction, geospatial data, early diagnosis, neuroimaging
MeSH terms
Aged, Aged, 80 and over, Alzheimer Disease, Brain, Female, Follow-Up Studies, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Predictive Value of Tests, Sensitivity and Specificity, Disease Progression, Early Diagnosis, Neuroimaging, 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