The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry.

dc.contributor.author

Nooner, Kate Brody

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Colcombe, Stanley J

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Tobe, Russell H

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Mennes, Maarten

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Benedict, Melissa M

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Moreno, Alexis L

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Panek, Laura J

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Brown, Shaquanna

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Zavitz, Stephen T

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Li, Qingyang

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Sikka, Sharad

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Gutman, David

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Bangaru, Saroja

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Schlachter, Rochelle Tziona

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Kamiel, Stephanie M

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Anwar, Ayesha R

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Hinz, Caitlin M

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Kaplan, Michelle S

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Rachlin, Anna B

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Adelsberg, Samantha

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Cheung, Brian

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Khanuja, Ranjit

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Yan, Chaogan

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Craddock, Cameron C

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Calhoun, Vincent

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Courtney, William

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King, Margaret

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Wood, Dylan

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Cox, Christine L

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Kelly, AM Clare

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Di Martino, Adriana

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Petkova, Eva

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Reiss, Philip T

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Duan, Nancy

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Thomsen, Dawn

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Biswal, Bharat

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Coffey, Barbara

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Hoptman, Matthew J

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Javitt, Daniel C

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Pomara, Nunzio

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Sidtis, John J

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Koplewicz, Harold S

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Castellanos, Francisco Xavier

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Leventhal, Bennett L

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Milham, Michael P

dc.coverage.spatial

Switzerland

dc.date.accessioned

2017-01-28T23:40:28Z

dc.date.issued

2012

dc.description.abstract

The National Institute of Mental Health strategic plan for advancing psychiatric neuroscience calls for an acceleration of discovery and the delineation of developmental trajectories for risk and resilience across the lifespan. To attain these objectives, sufficiently powered datasets with broad and deep phenotypic characterization, state-of-the-art neuroimaging, and genetic samples must be generated and made openly available to the scientific community. The enhanced Nathan Kline Institute-Rockland Sample (NKI-RS) is a response to this need. NKI-RS is an ongoing, institutionally centered endeavor aimed at creating a large-scale (N > 1000), deeply phenotyped, community-ascertained, lifespan sample (ages 6-85 years old) with advanced neuroimaging and genetics. These data will be publically shared, openly, and prospectively (i.e., on a weekly basis). Herein, we describe the conceptual basis of the NKI-RS, including study design, sampling considerations, and steps to synchronize phenotypic and neuroimaging assessment. Additionally, we describe our process for sharing the data with the scientific community while protecting participant confidentiality, maintaining an adequate database, and certifying data integrity. The pilot phase of the NKI-RS, including challenges in recruiting, characterizing, imaging, and sharing data, is discussed while also explaining how this experience informed the final design of the enhanced NKI-RS. It is our hope that familiarity with the conceptual underpinnings of the enhanced NKI-RS will facilitate harmonization with future data collection efforts aimed at advancing psychiatric neuroscience and nosology.

dc.identifier

http://www.ncbi.nlm.nih.gov/pubmed/23087608

dc.identifier.eissn

1662-453X

dc.identifier.uri

https://hdl.handle.net/10161/13516

dc.language

eng

dc.publisher

Frontiers Media SA

dc.relation.ispartof

Front Neurosci

dc.relation.isversionof

10.3389/fnins.2012.00152

dc.subject

DTI

dc.subject

brain

dc.subject

discovery

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fMRI

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lifespan

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open science

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phenotype

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psychiatry

dc.title

The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry.

dc.type

Journal article

duke.contributor.orcid

Nooner, Kate Brody|0000-0003-3756-649X

pubs.author-url

http://www.ncbi.nlm.nih.gov/pubmed/23087608

pubs.begin-page

152

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Duke

pubs.organisational-group

Psychiatry, Child & Family Mental Health and Developmental Neuroscience

pubs.organisational-group

Psychiatry & Behavioral Sciences

pubs.organisational-group

School of Medicine

pubs.publication-status

Published online

pubs.volume

6

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