# Network Analysis and Computational Modeling Core

> **NIH NIH P60** · INDIANA UNIVERSITY INDIANAPOLIS · 2024 · $157,255

## Abstract

Project Summary
This renewal of the P60 Indiana Alcohol Research Center (IARC) will identify the changes in brain activity that
predispose one to Binge and High Intensity Drinking (BHID). Towards this goal, the IARC will be collecting
large, dense data sets from humans and rodents with a range of techniques that acquire multiple,
simultaneous measures of neural function. This creates a critical need for an IARC service core that provide
expertise in network analysis and computational modeling to the center’s research components. The goal of
the NACM is to interrogate the brain networks and neural circuits that underlie BHID in a translational manner.
The objective of the NCAM is to therefore increase synergy and translation across species and components,
and to integrate the center’s data into computational models capable of articulating the pathology in neural
circuits that underlie BHID. The NACM will work closely with the research components to implement and
develop analyses and computational modeling techniques that capture network and systems-level interactions.
Accomplishing this will provide added rigor and more integrated, synergistic conclusions generated by IARC
components. Thus, the NCAM will provide advanced, targeted analyses and computational models that
increase synergy among the components. This will disseminate current IARC expertise in statistical analyses
and computational modeling to the center more broadly. As a core, the NACM does not set out to test specific
hypotheses, but rather, to work closely with the research components to add rigor and synergy. This allows
each component to assess their hypotheses more effectively, with the long-term goal of providing more
integrated model of the mechanisms of BHID. This will be accomplished in three Specific Aims:
Specific Aim 1: Identify altered, potentially translational, network functions in BHID in humans and rodents.
Specific Aim 2: Apply population analysis and artificial intelligence-based approaches to identify altered
computations in BHID to human and rodent data.
Specific Aim 3: Build computational models of corticolimbic systems altered in BHID.
The positive impact of the NACM will be to provide insight into how computations performed by brain networks
are altered in those at risk for BHID and AUD. Understanding this will inspire novel approaches to treatment
that more tightly link heritable changes in neural circuit function to BHID.

## Key facts

- **NIH application ID:** 10757905
- **Project number:** 5P60AA007611-37
- **Recipient organization:** INDIANA UNIVERSITY INDIANAPOLIS
- **Principal Investigator:** Christopher Court Lapish
- **Activity code:** P60 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $157,255
- **Award type:** 5
- **Project period:** 1989-12-01 → 2027-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10757905

## Citation

> US National Institutes of Health, RePORTER application 10757905, Network Analysis and Computational Modeling Core (5P60AA007611-37). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10757905. Licensed CC0.

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