# Multivariate Decoding of the Retrieval Brain State Across Cognition

> **NIH NIH R01** · UNIVERSITY OF VIRGINIA · 2024 · $385,334

## Abstract

Brain states – stable patterns of whole-brain activity and connectivity – dictate neural processing and behav-
ioral outcomes, yet understanding of specific brain states remains limited. In particular, there has been limited
consideration of how the retrieval state may drive the processes and representations that support memory and
cognition. The long-term goal of this research program is to link cognitive brain states and behavior. The overall
objective of the current application is to define the properties of the retrieval state. The central hypothesis of this
proposal is that the retrieval state reflects a control-independent internal attention brain state. The specific aims
of this proposal are to establish retrieval state temporal dynamics, link retrieval and internally directed attention,
and identify the factors that induce retrieval. This proposal will use multivariate decoding of scalp EEG data to
index trial-level retrieval over time and across tasks. The findings of the current proposal are expected to provide
a significant conceptual advance that will be broadly relevant to understanding memory and cognition.

## Key facts

- **NIH application ID:** 10844536
- **Project number:** 5R01NS132872-02
- **Recipient organization:** UNIVERSITY OF VIRGINIA
- **Principal Investigator:** Nicole Marie Long
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $385,334
- **Award type:** 5
- **Project period:** 2023-06-01 → 2028-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10844536

## Citation

> US National Institutes of Health, RePORTER application 10844536, Multivariate Decoding of the Retrieval Brain State Across Cognition (5R01NS132872-02). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10844536. Licensed CC0.

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