# Neurodevelopmental variation of intrinsic functional connectivity and its relationship to psychosis risk and gene expression - Supplement

> **NIH NIH K01** · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2022 · $1

## Abstract

Project Summary/Abstract
 Gaining a better understanding of how psychosis emerges during childhood and adolescence will help
us identify causes of the illness and treatment targets to facilitate early detection and intervention. The main
goals of this K01 are to 1) identify age-associated variation in resting-state functional connectivity in youth, and
how that variation relates to psychosis spectrum symptoms, 2) determine to what extent these psychosis-
related features are present in help-seeking youth at clinical high risk (CHR) for developing psychosis and 3)
identify genetic factors that contribute to typical and atypical neurodevelopment of resting-state intrinsic
functional connectivity. Aim 1 will combine archival resting-state functional magnetic resonance imaging
(rsfMRI) data from the Philadelphia Neurodevelopmental Cohort (PNC, N=907) and a highly compatible
longitudinal study of normative development (Luna cohort, N=223). Graph theory measures will be calculated
from the rsfMRI data and be used to determine the extent to which psychosis spectrum youth deviate from
typical development. For Aim 2, I will collect rsfMRI data on CHR youth (N=40) and typically developing
controls (N=50), longitudinally, with a goal to determine to what extent age-associated alterations in between-
and within- network connectivity are present in CHR youth. Positive symptoms of psychosis, psychosocial
functioning, and neurocognitive measures will be collected at the baseline assessment and follow-up
assessments. I will explore how intrinsic functional connectivity predicts increases in psychotic symptoms,
functioning and/or cognition in this cohort. In Aim 3, genetic information from the PNC and Luna cohort will
used to determine how expected gene expression profiles of schizophrenia risk and neurodevelopmental
genes are associated with development of between- and within- functional connectivity. My training plan will
focus on 1) integrating genomic and neuroimaging data to understand the development of psychiatric
disorders, 2) conducting analyses of high dimensional data sets to identify mechanisms of and potential risk
factors for psychosis, and 3) acquiring expertise in developmental neuroscience and apply this knowledge to
neurodevelopmental models of psychosis. Results from this study will help us identify mechanistic processes
of brain development and function and identify to what extent age-associated changes in network-connectivity
are intact or already present prior to the onset of psychosis. Through the training plan, I will become an expert
in modeling high dimensional data and identifying changes in the brain during adolescence, which I will use to
improve the prediction of psychosis and identify critical time periods for intervention.

## Key facts

- **NIH application ID:** 10450229
- **Project number:** 3K01MH112774-05S1
- **Recipient organization:** UNIVERSITY OF PITTSBURGH AT PITTSBURGH
- **Principal Investigator:** MARIA JALBRZIKOWSKI
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $1
- **Award type:** 3
- **Project period:** 2017-04-01 → 2021-11-14

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10450229

## Citation

> US National Institutes of Health, RePORTER application 10450229, Neurodevelopmental variation of intrinsic functional connectivity and its relationship to psychosis risk and gene expression - Supplement (3K01MH112774-05S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10450229. Licensed CC0.

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