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The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Harvard Aging Brain Study: Dataset and accessibility

Open access
Dagley, Alexander, LaPoint, Molly, Huijbers, Willem, Hedden, Trey, McLaren, Donald G., Chatwal, Jasmeer P., Papp, Kathryn V., Amariglio, Rebecca E., Blacker, Deborah, Rentz, Dorene M., Johnson, Keith A., Sperling, Reisa A., Schultz, Aaron P.·2017·NeuroImage

Abstract

ABSTRACT The Harvard Aging Brain Study is sharing its data with the global research community. The longitudinal dataset consists of a 284‐subject cohort with the following modalities acquired: demographics, clinical assessment, comprehensive neuropsychological testing, clinical biomarkers, and neuroimaging. To promote more extensive analyses, imaging data was designed to be compatible with other publicly available datasets. A cloud‐based system enables access to interested researchers with blinded data available contingent upon completion of a data usage agreement and administrative approval. Data collection is ongoing and currently in its fifth year. HIGHLIGHTSThe Harvard Aging Brain Study (HABS) is releasing its dataset for public access.HABS is a longitudinal study of aging and preclinical Alzheimer's dementia.Imaging data is compatible with related datasets.Data collection is ongoing and in its fifth year.

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Research works printed but not linked: 8

  1. Folstein, 1975, “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician, J. Psychiatr. Res., 12, 189, 10.1016/0022-3956(75)90026-6 · DOI · Paper page
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  3. Huijbers, 2013, The encoding/retrieval flip: interactions between memory performance and memory stage and relationship to intrinsic cortical networks, J. Cogn. Neurosci., 25, 1163, 10.1162/jocn_a_00366 · DOI
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Metadata

Authors
Dagley, A., LaPoint, M., Huijbers, W., Hedden, T., McLaren, D. G., Chatwal, J. P., Papp, K. V., Amariglio, R. E., Blacker, D., Rentz, D. M., Johnson, K. A., Sperling, R. A., & Schultz, A. P.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2017-01
Volume
144
Issue
Pt B
Pages
255-258
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2000501114
Cited by
224
References
6
FWCI
6.75
Type
journal article
Language
en
Open access
green
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Funders
  • National Institute on Aging of the National Institutes of Health (NCRR P41 RR14075, K01 AG040197)
  • National Institute on Aging (P01AG036694, R01 AG046396, R01 AG027435, K24 AG035007, P50 AG005134)
  • Harvard NeuroDiscovery Center
  • Alzheimer's Association
  • National Institute of Biomedical Imaging and Bioengineering (NIBIB), National Institutes of Health (P41EB015896)
  • NIH Shared Instrumentation Grant Program
  • High-End Instrumentation Grant Program (S10RR021110, S10RR023043, S10RR023401)

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CoChat. (2026). Citation check: Harvard Aging Brain Study: Dataset and accessibility. https://app.cochat.ai/papers/10.1016/j.neuroimage.2015.03.069
The paper
Dagley, A., LaPoint, M., Huijbers, W., Hedden, T., McLaren, D. G., Chatwal, J. P., Papp, K. V., Amariglio, R. E., Blacker, D., Rentz, D. M., Johnson, K. A., Sperling, R. A., & Schultz, A. P. (2017). Harvard Aging Brain Study: Dataset and accessibility. NeuroImage. https://doi.org/10.1016/j.neuroimage.2015.03.069

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.