Neuromodulation of Memory in Aging with Transcranial Magnetic Stimulation

This study is exploring a treatment called Transcranial Magnetic Stimulation (TMS) for people with Mild Cognitive Impairment (MCI) and healthy older adults. TMS uses magnetic fields to stimulate brain cells and may help improve memory. Researchers want to see if TMS, when tailored to your individual brain networks, can reliably control brain states related to memory. They will measure how TMS affects your working memory performance and brain activity. You may be able to join if you are between 18 and 75 years old, speak English, and are willing to give consent. The study aims to enroll 150 participants.

Study design
This is an interventional study, meaning participants will receive a specific treatment. It plans to enroll 150 participants, including those with Mild Cognitive Impairment and healthy older adults.
What's involved
Not specified in the trial record.
Compensation
Not stated in the trial record.
Follow-up
The study measures working memory during TMS-EEG (Day 4) and brain connectivity and vascular density during initial neuroimaging sessions (Day 2 and Day 3).

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NCT05460468

Neuromodulation of Memory in Aging

Recruiting
NAAges 18–75InterventionalBasic science
Indiana University
~150 participants
Updated 2026-08-11 on ClinicalTrials.gov
What's tested:Transcranial Magnetic Stimulation

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Working Memory Task
Measured over Collected during TMS-EEG (Day 4)
+3 more outcomes measured
Mild Cognitive Impairment
MCI
1 sites across 1 states
North Carolina1
  • Simon W Davis, PhD · PRINCIPAL_INVESTIGATOR · Duke University
  • Andy Liu, MD · PRINCIPAL_INVESTIGATOR · Duke University

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Eligibility criteria

Inclusion

English Speaking
Willing to provide consent

Exclusion

History of any Axis I DSM-V disorder, excluding major depressive disorder or generalized anxiety disorders
Current history of substance abuse or dependence (excluding nicotine)
Intracranial implants (e.g. aneurysms clips, shunts, stimulators, cochlear implants, or electrodes), cardiac pacemakers, or vagus Nerve stimulation device
Increased risk of seizure for any reason, including prior diagnosis of epilepsy, seizure disorder, increased intracranial pressure, or history of significant head trauma with loss of consciousness for ≥ 5 minutes.
Neurological disorder including, but not limited to: space occupying brain lesion; any history of seizures, history of cerebrovascular accident; fainting, cerebral aneurysm, Dementia, Hungtington chorea; Multiple Sclerosis.
Current use of medications known to lower the seizure threshold and/or affect working memory
  • Working Memory TaskCollected during TMS-EEG (Day 4)

    The difference in memory accuracy between TMS conditions (random vs. ordered vs. sham stimulation) on a working memory task. Each trial of the task consists of stimulus presentation of an array of letters, a delay period in which subjects alphabetize the letters, and probe period where subjects indicate whether the number corresponds to the alphabetized position of the letter probe presented. Memory is subsequently assessed as a function of TMS condition.

  • Functional network connectivityCollected during the initial neuroimaging session (Day 2)

    Functional network connectivity/activity is estimated by comparing the hemodynamic time courses of two or more regions of the brain. The correlation between the time courses of each pair of regions is termed functional network connectivity. The Working Memory Network (WMN) is identified by comparing fMRI-based functional network connectivity for high vs low working memory load (e.g., remembering 4 versus 3 items).

  • Vascular density (VAD)Collected during the second neuroimaging session (Day 3)

    This measure of neurovascular brain health, vascular density (VAD), as estimated by an automated method of segmenting veins with a magnetic resonance imaging (MRI) sequence known as susceptibility weighted imaging. This measure can be used to estimate the dilation of cerebral veins, and therefore VAD.

  • EEG-based connectivityCollected during TMS-EEG (Day 4)

    EEG data will be source reconstructed to a fine-grained grid and timecourses of the solution points are averaged per region and per subject. The imaginary part of the coherence (iCoh) of averaged EEG source signals will be assessed within the alpha and theta frequency bands to build EEG-based connectivity matrices ("connectomes") for alpha- and theta-based connectivity, for each subject.