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

122 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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title = "Harvard Aging Brain Study: Dataset and accessibility",

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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doi = "10.1016/j.neuroimage.2015.03.069",

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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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AB - 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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KW - DISEASE

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DO - 10.1016/j.neuroimage.2015.03.069

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SN - 1053-8119

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SP - 255

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JO - Neuroimage

JF - Neuroimage

ER -

Harvard Aging Brain Study: Dataset and accessibility

Abstract

Keywords

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