Harvard Aging Brain Study: Dataset and accessibility

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

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    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. (C) 2015 Elsevier Inc. All rights reserved.

    Original languageEnglish
    Pages (from-to)255-258
    Number of pages4
    JournalNeuroimage
    Volume144
    DOIs
    Publication statusPublished - 1 Jan 2017

    Keywords

    • DEMENTIA
    • DISEASE

    Cite this

    Dagley, A., LaPoint, M., Huijbers, W., Hedden, T., McLaren, D. G., Chatwal, J. P., ... Schultz, A. P. (2017). Harvard Aging Brain Study: Dataset and accessibility. Neuroimage, 144, 255-258. https://doi.org/10.1016/j.neuroimage.2015.03.069
    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. / Harvard Aging Brain Study : Dataset and accessibility. In: Neuroimage. 2017 ; Vol. 144. pp. 255-258.
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    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. (C) 2015 Elsevier Inc. All rights reserved.",
    keywords = "DEMENTIA, DISEASE",
    author = "Alexander Dagley and Molly LaPoint and Willem Huijbers and Trey Hedden and McLaren, {Donald G.} and Chatwal, {Jasmeer P.} and Papp, {Kathryn V.} and Amariglio, {Rebecca E.} and Deborah Blacker and Rentz, {Dorene M.} and Johnson, {Keith A.} and Sperling, {Reisa A.} and Schultz, {Aaron P.}",
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    language = "English",
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    Dagley, A, LaPoint, M, Huijbers, W, Hedden, T, McLaren, DG, Chatwal, JP, Papp, KV, Amariglio, RE, Blacker, D, Rentz, DM, Johnson, KA, Sperling, RA & Schultz, AP 2017, 'Harvard Aging Brain Study: Dataset and accessibility', Neuroimage, vol. 144, pp. 255-258. https://doi.org/10.1016/j.neuroimage.2015.03.069

    Harvard Aging Brain Study : Dataset and accessibility. / 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.

    In: Neuroimage, Vol. 144, 01.01.2017, p. 255-258.

    Research output: Contribution to journalArticleScientificpeer-review

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    AU - Dagley, Alexander

    AU - LaPoint, Molly

    AU - Huijbers, Willem

    AU - Hedden, Trey

    AU - McLaren, Donald G.

    AU - Chatwal, Jasmeer P.

    AU - Papp, Kathryn V.

    AU - Amariglio, Rebecca E.

    AU - Blacker, Deborah

    AU - Rentz, Dorene M.

    AU - Johnson, Keith A.

    AU - Sperling, Reisa A.

    AU - Schultz, Aaron P.

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    KW - DISEASE

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    DO - 10.1016/j.neuroimage.2015.03.069

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    Dagley A, LaPoint M, Huijbers W, Hedden T, McLaren DG, Chatwal JP et al. Harvard Aging Brain Study: Dataset and accessibility. Neuroimage. 2017 Jan 1;144:255-258. https://doi.org/10.1016/j.neuroimage.2015.03.069