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Using fMRI-guided TMS to Increase Central Executive Function in Older Adults (MCI_Sub)

Using fMRI-guided TMS to Increase Central Executive Function in Older Adults (MCI_Sub)

Status
Terminated
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04176406
Acronym
MCI_Sub
Enrollment
10
Registered
2019-11-25
Start date
2019-11-25
Completion date
2020-02-27
Last updated
2021-01-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Mild Cognitive Impairment

Brief summary

This is an administrative supplement to an existing project Using fMRI-guided TMS to increase central executive function in older adults: NCT02767323 This award allows extending our existing fMRI-TMS paradigm to patients with a prodromal form of Alzheimer's Disease (AD) known as amnestic Mild Cognitive Impairment (MCI), and investigate the role of brain health factors in mediating the TMS-related memory performance benefits associated with communication between a network of frontoparietal brain regions in these populations. The focus on focal neurostimulation at only a single site represents a fundamental gap in the approach of memory-based neurostimulation therapies. Neurostimulation affects multiple sites within a cortical network, but these global effects have not been used as targets for stimulation because of limited knowledge about what influence these localized sites have on global changes in brain state. To address this problem, multimodal neuroimaging tools and network modeling approaches developed though the parent U01 project will be used, to demonstrate how focal neurostimulation improves the efficacy of TMS for enhancing memory function. These goals will be addressed in the Administrative Supplement under our two specific aims. First, network-guided TMS will be applied to optimize memory success based in the frontoparietal network (FPN) in a new group of MCI patients. A new form of TMS targeting that involves modeling of the global network to understand how the controllability of a stimulation site evokes changes in widespread brain networks will be tested. Second, structural and functional factors affecting the efficacy of individualized network-guided TMS will be identified to ameliorate deficits in MCI. By creating a multimodal model of neural deficits related to MCI, network-guided TMS will be adjusted to demonstrate how the MCI brain might compensate for these neural deficits. The parent U01 project has made foundational advances towards these goals, as we have demonstrated the ability of to selectively enhance and reduce working memory performance in healthy older adults. In the current Administrative Supplement this paradigm will be extended to a group of MCI participants in order to test the hypothesis that excitatory rTMS to the working memory network can provide positive outcomes for patients with pre-clinical AD. The proposed work will provide an important tool for studying the stability and controllability of network connectivity of memory states in the aging brain, as well as new information on the effectiveness of brain stimulation technologies as a therapeutic approach for cognitive decline.

Interventions

DEVICErTMS

excitatory 5Hz rTMS will be used

DEVICESham rTMS

an electrical sham coil reproducing the same clicking sound and tactile sensation than the active rTMS will be used

Sponsors

National Institute on Aging (NIA)
CollaboratorNIH
Duke University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
FACTORIAL
Primary purpose
BASIC_SCIENCE
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
55 Years to 80 Years
Healthy volunteers
Yes

Inclusion criteria

* English Speaking * willing to provide consent * signed HIPAA authorization * clinical consensus for MCI; and/or met inclusion criterial on MoCA, ApoE.

Exclusion criteria

* History of any I DSM IV disorder that is unstable or untreated * current or past history of substance abuse or dependence (excluding nicotine) * women who are pregnant or breast feeding * intracranial implants (e.g. aneurysms clips, shunts, stimulators, cochlear implants, or electrodes * increased risk of seizure for any reason, including prior diagnosis of epilepsy, seizure disorder, increased intracranial pressure, or history of significant head trauma greater than mild concussion (History of significant head trauma, including with loss of consciousness for ≥ 30 minutes, alteration of consciousness for up to 24 hours following the event, or post-traumatic amnesia) in the past 10yrs or head injury received after age 65 * Neurological disorder including, but not limited to: space occupying brain lesion; any history of seizures, history of cerebrovascular accident; cerebral aneurysm , Dementia, Huntington chorea, multiple sclerosis * Increased risk of seizure for any reason, including prior diagnosis of increased intracranial pressure (such as after large infarctions or trauma), or currently taking medication that are on the strong potential hazard list for rTMS. * Subjects taking medications with an ACB score of 3.

Design outcomes

Primary

MeasureTime frameDescription
Acute Effect of a rTMS Session on the Performance for a Working Memory Task, as Measured by Accuracy (in Percentage)Through study completion, an average of one yearAccuracy (in percentage) will be assessed to evaluate the acute effect of rTMS.
Acute Effect of a rTMS Session on the Performance for a Working Memory Task, as Measured by Reaction Times (ms)Through study completion an average of one yearReaction times (in ms) will be assessed to evaluate the acute effect of rTMS

Countries

United States

Participant flow

Pre-assignment details

Study was terminated prior to application of rTMS or Sham.

Participants by arm

ArmCount
Enrolled Participants
The following numbers represent the baseline characteristics for the participants enrolled in the study, who performed only the behavioral task. None of these participants received rTMS
10
Total10

Baseline characteristics

CharacteristicEnrolled Participants
Age, Categorical
<=18 years
0 Participants
Age, Categorical
>=65 years
7 Participants
Age, Categorical
Between 18 and 65 years
3 Participants
Age, Continuous65.2 years
STANDARD_DEVIATION 6.6
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
0 Participants
Race (NIH/OMB)
Black or African American
2 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
White
8 Participants
Region of Enrollment
United States
10 participants
Sex: Female, Male
Female
5 Participants
Sex: Female, Male
Male
5 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
deaths
Total, all-cause mortality
0 / 00 / 00 / 00 / 0
other
Total, other adverse events
0 / 00 / 00 / 00 / 0
serious
Total, serious adverse events
0 / 00 / 00 / 00 / 0

Outcome results

Primary

Acute Effect of a rTMS Session on the Performance for a Working Memory Task, as Measured by Accuracy (in Percentage)

Accuracy (in percentage) will be assessed to evaluate the acute effect of rTMS.

Time frame: Through study completion, an average of one year

Population: The study had to be interrupted because of Covid-19 situation, while we were still piloting the behavioral task. Therefore no data with rTMS were collected.

Primary

Acute Effect of a rTMS Session on the Performance for a Working Memory Task, as Measured by Reaction Times (ms)

Reaction times (in ms) will be assessed to evaluate the acute effect of rTMS

Time frame: Through study completion an average of one year

Population: The study had be be terminated early due to the Covid-19 situation, while we were still piloting the behavioral task. Therefore no participants received rTMS

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026