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This Funding Opportunity Announcement (FOA) invites applications for an Early Psychosis Intervention Network (EPINET) National Data Coordinating Center (ENDCC) to support and extend the work of regional scientific hubs described in companion announcement RFA-MH-19-150. The ENDCC will lead efforts to (a) harmonize early psychosis common data elements, standard measures, and uniform data collection procedures across multiple early psychosis Coordinated Specialty Care (CSC) clinics within regional networks; (b) build informatics infrastructure and pipelines necessary to gather and store de-identified, patient-level data collected across all regional clinics; (c) develop data analysis, presentation, and reporting tools to facilitate timely quality improvement and program evaluation efforts across regional networks; (d) identify innovative CSC assessment, intervention, and quality improvement practices for broad dissemination; and (e) make national CSC data available for practice-based research to improve early identification, diagnosis, clinical assessment, intervention effectiveness, service delivery and health outcomes in early psychosis. The ENDCC will combine regional datasets into a national repository of early psychosis common data elements, clinical measures, assessment and intervention strategies, and de-identified person-level data from patients receiving CSC services. Data assembled by the ENDCC will facilitate large-scale, practice-based research to improve early identification, diagnosis, clinical assessment, intervention effectiveness, and health outcomes in clinics offering evidence-based care to persons in the early stages of psychotic illness.

This Funding Opportunity Announcement (FOA) invites applications for a CHR Data Processing, Analysis and Coordination Center (DPACC) to support and extend the work of the proposed Clinical High Risk for Psychosis Research Network to be funded under RFA-MH-20-340 . The DPACC will provide oversight and coordination of two parallel lines of inquiry: 1) The aggregation of extant CHR-related data sets and subsequent secondary analyses for refinement of multi-modal biomarkers and development of biomarker algorithms that predict individual clinical trajectory and outcomes and 2) The management, direction, and overall coordination, including data processing and analysis, for a new multi-site network(s) focused on dissecting the heterogeneity of the CHR syndrome. Toward achieving the first goal, the DPACC - in conjunction with NIMH and external working groups - will identify appropriate extant CHR data sets, aggregate and harmonize the data through development of a standardized processing and analysis pipeline for each data type, upload the data to the NIMH Data Archive (NDA), use computational techniques to identify and validate biomarker algorithms and/or risk calculators that predict the clinical trajectories and outcomes for individual patients, and establish a curated public data set that will serve as a resource for the research community.

The goal of this Funding Opportunity Announcement (FOA) is to encourage biomedical, behavioral and social sciences research that will enhance knowledge of mechanisms underlying neuropsychiatric symptoms (NPS) in persons with Alzheimer's disease (AD) or Alzheimer's disease-related dementias (ADRD) so as to enable novel treatment development. NPS, or Behavioral and Psychological Symptoms of Dementia (BPSD), include aggression, psychosis, anxiety, apathy, depression, agitation, sleep disturbances and wandering, and can be significant challenges to the care and treatment of people with dementia. These symptoms lead to accelerated declines in both functional abilities and may lead to earlier nursing home placement. Currently, few pharmacological treatments are available. In addition, there is a need to understand behavioral and environmental targets to further refine and develop promising behavioral treatments for these disorders.