TY - JOUR
T1 - Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data
T2 - Assessment of Psychiatric Comorbidity Across Brain Disorders
AU - Vaccarino, Anthony L.
AU - Beaton, Derek
AU - Black, Sandra E.
AU - Blier, Pierre
AU - Farzan, Farnak
AU - Finger, Elizabeth
AU - Foster, Jane A.
AU - Freedman, Morris
AU - Frey, Benicio N.
AU - Gilbert Evans, Susan
AU - Ho, Keith
AU - Javadi, Mojib
AU - Kennedy, Sidney H.
AU - Lam, Raymond W.
AU - Lang, Anthony E.
AU - Lasalandra, Bianca
AU - Latour, Sara
AU - Masellis, Mario
AU - Milev, Roumen V.
AU - Müller, Daniel J.
AU - Munoz, Douglas P.
AU - Parikh, Sagar V.
AU - Placenza, Franca
AU - Rotzinger, Susan
AU - Soares, Claudio N.
AU - Sparks, Alana
AU - Strother, Stephen C.
AU - Swartz, Richard H.
AU - Tan, Brian
AU - Tartaglia, Maria Carmela
AU - Taylor, Valerie H.
AU - Theriault, Elizabeth
AU - Turecki, Gustavo
AU - Uher, Rudolf
AU - Zinman, Lorne
AU - Evans, Kenneth R.
N1 - Publisher Copyright:
Copyright © 2022 Vaccarino, Beaton, Black, Blier, Farzan, Finger, Foster, Freedman, Frey, Gilbert Evans, Ho, Javadi, Kennedy, Lam, Lang, Lasalandra, Latour, Masellis, Milev, Müller, Munoz, Parikh, Placenza, Rotzinger, Soares, Sparks, Strother, Swartz, Tan, Tartaglia, Taylor, Theriault, Turecki, Uher, Zinman and Evans.
PY - 2022/2/7
Y1 - 2022/2/7
N2 - The Ontario Brain Institute's “Brain-CODE” is a large-scale informatics platform designed to support the collection, storage and integration of diverse types of data across several brain disorders as a means to understand underlying causes of brain dysfunction and developing novel approaches to treatment. By providing access to aggregated datasets on participants with and without different brain disorders, Brain-CODE will facilitate analyses both within and across diseases and cover multiple brain disorders and a wide array of data, including clinical, neuroimaging, and molecular. To help achieve these goals, consensus methodology was used to identify a set of core demographic and clinical variables that should be routinely collected across all participating programs. Establishment of Common Data Elements within Brain-CODE is critical to enable a high degree of consistency in data collection across studies and thus optimize the ability of investigators to analyze pooled participant-level data within and across brain disorders. Results are also presented using selected common data elements pooled across three studies to better understand psychiatric comorbidity in neurological disease (Alzheimer's disease/amnesic mild cognitive impairment, amyotrophic lateral sclerosis, cerebrovascular disease, frontotemporal dementia, and Parkinson's disease).
AB - The Ontario Brain Institute's “Brain-CODE” is a large-scale informatics platform designed to support the collection, storage and integration of diverse types of data across several brain disorders as a means to understand underlying causes of brain dysfunction and developing novel approaches to treatment. By providing access to aggregated datasets on participants with and without different brain disorders, Brain-CODE will facilitate analyses both within and across diseases and cover multiple brain disorders and a wide array of data, including clinical, neuroimaging, and molecular. To help achieve these goals, consensus methodology was used to identify a set of core demographic and clinical variables that should be routinely collected across all participating programs. Establishment of Common Data Elements within Brain-CODE is critical to enable a high degree of consistency in data collection across studies and thus optimize the ability of investigators to analyze pooled participant-level data within and across brain disorders. Results are also presented using selected common data elements pooled across three studies to better understand psychiatric comorbidity in neurological disease (Alzheimer's disease/amnesic mild cognitive impairment, amyotrophic lateral sclerosis, cerebrovascular disease, frontotemporal dementia, and Parkinson's disease).
KW - brain-code
KW - common data elements
KW - data sharing
KW - depression and anxiety
KW - major depressive disorder
KW - neurological disorders
KW - pooled participant data
KW - psychiatric comorbidity
UR - http://www.scopus.com/inward/record.url?scp=85125050573&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85125050573&partnerID=8YFLogxK
U2 - 10.3389/fpsyt.2022.816465
DO - 10.3389/fpsyt.2022.816465
M3 - Article
C2 - 35197877
AN - SCOPUS:85125050573
SN - 1664-0640
VL - 13
JO - Frontiers in Psychiatry
JF - Frontiers in Psychiatry
M1 - 816465
ER -