# Optimizing noninvasive modulation of prediction and episodic memory networks via cerebellar stimulation

> **NIH NIH F32** · NORTHWESTERN UNIVERSITY · 2020 · $72,446

## Abstract

PROJECT SUMMARY ABSTRACT
The lateral cerebellum (Crus I/II) interacts with two dissociable large-scale brain networks — the executive
control (ECN) and default mode networks (DMN), which support distinct cognitive functions (e.g., prediction
versus episodic memory, respectively). The proposed research aims to identify noninvasive brain stimulation
parameters that cause this area of the cerebellum to interact more heavily with either network, thereby biasing
lateral cerebellar participation in network-specific cognitive functions critical to adult humans. Because the ECN
and DMN have been shown to generate different endogenous rhythms of brain activity, the approach of the
proposed project is to vary the rhythms at which repetitive transcranial magnetic stimulation (rTMS) is
delivered. We hypothesize that matching rhythmic stimulation to network-specific endogenous activity will bias
the lateral cerebellum to interact with the network having the corresponding intrinsic frequency. Resting-state
fMRI and EEG will be used to assess network-level consequences of manipulating stimulation rhythm. We
further aim to determine how stimulation-modulated brain activity influences network-related cognitive function.
We hypothesize that changes in the ECN will correspond to changes in prediction-related behavior and brain
activity, whereas changes in the DMN will correspond to changes in episodic memory behavior and brain
activity. This research and training plan will thus merge noninvasive stimulation methods with resting-state and
task-based fMRI and EEG measures of brain and cognitive function. The proposed studies will provide an
experimental test of network-specific neuromodulation via a shared cerebellar hub, which could motivate
procedures to enhance specific cognitive functions through noninvasive brain stimulation.

## Key facts

- **NIH application ID:** 9998734
- **Project number:** 5F32MH118718-03
- **Recipient organization:** NORTHWESTERN UNIVERSITY
- **Principal Investigator:** Shruti Dave
- **Activity code:** F32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $72,446
- **Award type:** 5
- **Project period:** 2018-09-17 → 2022-02-28

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9998734

## Citation

> US National Institutes of Health, RePORTER application 9998734, Optimizing noninvasive modulation of prediction and episodic memory networks via cerebellar stimulation (5F32MH118718-03). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9998734. Licensed CC0.

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