# Resting State Brain Connectivity Conference

> **NIH NIH R13** · UNIVERSITY OF TEXAS DALLAS · 2020 · $50,000

## Abstract

The discovery in 1995 of resonant neural activity between key brain regions touched off a new field of brain imaging
based on resting state networks. This new field has led to findings of entire systems of neural networks that are active in
the absence of cognitive activity. The resting-state connectivity field is presently evolving out of an initial discovery
phase into an investigatory phase wherein the emphasis is upon understanding the physiologic origins of resting signal,
how best to investigate this signal, and how it is affected in special populations. In this proposal we request funding for
a conference that highlights this new investigatory period of resting state brain research, and featuring work that pushes
out the frontier on two topics of concern to our time and society, aging and addiction. We propose funding to help
support a program of keynote speakers, plenary speakers, poster sessions, workshops and symposia, that will facilitate
sharing of novel findings, discussion of cross-cutting issues, and identification of emergent scientific opportunities and
collaborations in resting state brain connectivity and how it is affected in aging and disease.

## Key facts

- **NIH application ID:** 10071045
- **Project number:** 1R13DA052196-01
- **Recipient organization:** UNIVERSITY OF TEXAS DALLAS
- **Principal Investigator:** Bart Rypma
- **Activity code:** R13 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $50,000
- **Award type:** 1
- **Project period:** 2020-08-01 → 2023-10-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10071045

## Citation

> US National Institutes of Health, RePORTER application 10071045, Resting State Brain Connectivity Conference (1R13DA052196-01). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10071045. Licensed CC0.

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