Abstract

This work will extend the current approach in the field and has the potential to decode the etiopathogenesis of schizophrenia by focusing on symptom domains which not only have important and direct clinical outcomes but that are refractory to existing treatments. Utilizing advances in statistical and bioinformatic methods this study proposes to examine the functional mechanisms of psychotic and schizophrenia symptoms in the developmental period in a sample of youth and in patients diagnosed with schizophrenia.

Description

Rose Mary Xavier, PhD, MS, RN, PMHNP-BC was the recipient of the Sigma/Western Institute of Nursing Research Grant, 2018-2019 cohort. Additional funding information: NIMH K01 MH108894

Author Details

Rose Mary Xavier PhD, MS, RN, PMHNP-BC; Brian M. Britt; Martilias Farrell PhD; Matthew K. Harner BA; Tyler E. Diettrich; Dawn M. Filmyer PhD; Lisa M. Bruno; Raquel E. Gur MD, PhD; Laura Almasy PhD; Patrick F. Sullivan MD, FRANZCP; Richard Josiassen PhD

Sigma Membership

Alpha Alpha

Lead Author Affiliation

The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

Type

Report

Format Type

Text-based Document

Study Design/Type

Other

Research Approach

Quantitative Research

Keywords:

Schizophrenia, Treatment Resistance, Polygenic Risk Scores

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

All permission requests should be directed accordingly and not to the Sigma Repository.

All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

None: Sigma Grant Recipient Report

Acquisition

Self-submission

Date of Issue

2021-08-18

Full Text of Presentation

wf_yes

Grant Report

Additional Files

Poster.pdf (881 kB)

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