# Investigating the Role of KIBRA-Dependent Synaptic Function on Hippocampal and Cortical Network Mechanisms Underlying Complex Cognition

> **NIH NIH F99** · UT SOUTHWESTERN MEDICAL CENTER · 2021 · $35,125

## Abstract

Project Summary
Revealing how molecular interactions within single cells contribute to experience-dependent changes in circuit-
level neural activity across large-scale brain networks brain is an urgent challenge in neuroscience. Disorders
of complex cognition including schizophrenia, bipolar disorder and autism spectrum disorder ultimately manifest
via emergent properties of dysfunctional neural networks. While these disorders have strong and overlapping
genetic contributions, a clear picture of how heritable factors contribute functionally to pathological symptoms
remains elusive. Broadly, my career goal is to delineate how distinct molecular and cellular mechanisms
associated with neurodevelopmental psychiatric disease contribute to neuronal circuit dynamics. My graduate
work focuses on investigating in vivo network dysfunction following removal of the synaptic scaffolding protein
KIBRA, which regulates synaptic plasticity and is genetically associated with natural variation in human memory.
KIBRA and the protein complexes it organizes are also associated with several neurodevelopmental disorders.
To determine whether KIBRA-dependent plasticity mechanisms regulate behaviorally relevant circuit dynamics,
I monitored simultaneous neural activity in both the hippocampus (HC) and frontal cortex (ACC) of mice with
forebrain-specific deletion of KIBRA (KIBRA cKO) using in vivo electrophysiology in freely behaving mice. My
findings indicate a failure of hippocampal circuits to properly synchronize in response to novel experience in the
absence of KIBRA. Based on current results from Aim 1, studies in Aim 2 will evaluate the requirement of KIBRA-
dependent plasticity mechanisms for synchronized neural activity that promotes the acquisition of spatial
information. This will be done by first examining the integrity and synchrony of HC and ACC network oscillations
with respect to behavior to gain insight into network communication between and within these regions. Further
experiments will focus on the firing patterns of individual neurons with respect to experience and their coherence
to ongoing oscillations in the HC and ACC networks. Firing fields of these neurons predictably change in an
experience- and plasticity-dependent manner, which will allow examination of KIBRA-dependent information
processing at the single cell level. This will be followed by evaluating the functional role of KIBRA in late postnatal
development of the HC and ACC networks by conducting multi-day recordings in juvenile KIBRA KO mice. In
Aim 3, I describe my postdoctoral research plan to investigate how mitochondrial metabolism, an understudied
and high confidence risk factor for neuropsychiatric disease, influences brain network function. I will gain
expertise in in vivo imaging and opto/chemogenetics to complement expertise gained during my PhD work. The
integration of my PhD and postdoctoral training will lay the groundwork for a career in neuroscience research
that contribut...

## Key facts

- **NIH application ID:** 10149147
- **Project number:** 1F99NS120543-01
- **Recipient organization:** UT SOUTHWESTERN MEDICAL CENTER
- **Principal Investigator:** Lilyana Dream Quigley
- **Activity code:** F99 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $35,125
- **Award type:** 1
- **Project period:** 2021-01-01 → 2022-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10149147

## Citation

> US National Institutes of Health, RePORTER application 10149147, Investigating the Role of KIBRA-Dependent Synaptic Function on Hippocampal and Cortical Network Mechanisms Underlying Complex Cognition (1F99NS120543-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10149147. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*
