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

doi:10.1016/j.neuroimage.2015.03.069

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 journal › Article › Scientific › peer-review

116 Citations (Scopus)

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 language	English
Pages (from-to)	255-258
Number of pages	4
Journal	Neuroimage
Volume	144
DOIs	https://doi.org/10.1016/j.neuroimage.2015.03.069
Publication status	Published - 1 Jan 2017

Keywords

DEMENTIA
DISEASE

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10.1016/j.neuroimage.2015.03.069

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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.",

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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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JO - Neuroimage

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Harvard Aging Brain Study: Dataset and accessibility

Abstract

Keywords

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