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

By Kate Brody Nooner, Stanley J. Colcombe, Russell H. Tobe, Maarten Mennes, Melissa M. Benedict, A. L. Moreno, Laura J. Panek, Shaquanna Brown, Stephen T. Zavitz, Qingyang Li and 37 more. 2012

825 citations recorded by the source corpus.

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.

Subfields: Cognitive Neuroscience, Health, Toxicology and Mutagenesis, Psychiatry and Mental health

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Health, Toxicology and Mutagenesis

Thomas E. Nichols

In Psychiatry and Mental health

Citations in the corpus

The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance (2015, positive): “Reproducibility To test the reproducibility of our results, we performed three separate replication analyses: (1) on a second resting state session from the same cohort of 92 unrelated subjects, (2) on a different cohort of 92 unrelated subjects from the HCP consortium, and (3) on 152 subjects from ”
A distributed brain network predicts general intelligence from resting-state human neuroimaging data (2018, background): “…this study, we are already exploring three candidate publicly available datasets with suitable imaging and behavioral assessment in large cohorts of subjects: the Cambridge Center for Ageing and Neuroscience (Cam-CAN, [94]); the Nathan Kline Institute Rockland sample [95]; and the UK Biobank [96].”
A Correspondence between Individual Differences in the Brain's Intrinsic Functional Architecture and the Content and Form of Self-Generated Thoughts (2014, methodology): “75) were recruited as part of the NKI Enhanced Rockland Sample (eNKI-RS)[29].”
The Philadelphia Neurodevelopmental Cohort: A Publicly Available Resource for the Study of Normal and Abnormal Brain Development in Youth (2015, neutral): “As previously emphasized (Biswal et al., 2010; Gorgolewski et al., 2013; Mennes et al., 2012; Milham, 2012; Nooner et al., 2012; Bis et al., 2012; Stein et al., 2012), large publicly available datasets are a prerequisite for the collaboration necessary to gain traction towards understanding complex…”
Toward open sharing of task-based fMRI data: the OpenfMRI project (2013, background): “…of the initial FCP dataset was that there was very little phenotype data included other than sex and age; however, more recently this group has begun prospectively sharing data with a greater amount of phenotype information, including the deeply-phenotyped NKI-Rockland sample (Nooner et al., 2012).”
The OpenNeuro resource for sharing of neuroscience data (2021, neutral): “The most prominent recent examples have been large-scale prospective data sharing projects, including the Human Connectome Project (HCP) ( Van Essen et al., 2013 ), the NKI-Rockland sample ( Nooner et al., 2012 ), Adolescent Brain Cognitive”
Exploring the role of the posterior middle temporal gyrus in semantic cognition: Integration of anterior temporal lobe with executive processes (2016, positive): “…the restingstate connectivity patterns observed in this study: (i) 141 participants from the Nathan Kline Institute (NKI)/Rockland Enhanced Sample (Nooner et al., 2012) were used to relate the connectivity patterns of ventral/anterior and dorsal/posterior IFG to the response we observed in pMTG.…”