Skip to content

Neural Mechanisms of Fatigue in Post-Acute Sequela of SARS-CoV-2

Motivated Decision-Making and Performance

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07278388
Enrollment
200
Registered
2025-12-12
Start date
2025-07-16
Completion date
2029-12-31
Last updated
2025-12-12

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

Conditions

Fatigue, PASC Post Acute Sequelae of COVID 19

Brief summary

This proposal aims to understand the neurobiological mechanisms of fatigue in individuals with Post-Acute Sequelae of SARS-CoV-2 Infection (PASC). This knowledge will eventually provide candidate mechanisms to target with pharmacological intervention and inform rehabilitative care for those individuals suffering from symptoms of fatigue in PASC.

Interventions

Participants will perform a physically demanding task (grip force exertion task) repeatedly to induce physical fatigue.

Sponsors

National Institute of Neurological Disorders and Stroke (NINDS)
CollaboratorNIH
Hugo W. Moser Research Institute at Kennedy Krieger, Inc.
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes

Inclusion criteria

* Age 18 to 75 years old. * Have received a clinical diagnosis of post-acute sequelae of SARS-CoV-2 (PASC)/long COVID syndrome using the criteria specified by Thaweethai, et al., 2023 (JAMA). This symptom checklist provides a score based on the number and severity of symptoms. An individual with a score \>12 is classified as having PASC. * Currently experiencing Fatigue/Brain Fog as assessed with the Post-COVID symptom checklist and the PedsQL questionnaire.

Exclusion criteria

* Neurological disorders including, but not limited to, stroke, head injury, epilepsy, seizures, brain tumors, brain surgery, Parkinson's Disease, or any other neuromuscular disease (self-report). * Diagnosed history of severe psychiatric diseases such as depression and schizophrenia (self-report). * Congestive heart failure. * Peripheral artery disease with claudication. * Cancer. * Pulmonary or renal failure. * Unstable angina. * Uncontrolled hypertension (more than 190/110 mmHg). * Severe aphasia. * Orthopedic or pain conditions. * Have had exposure to metal or metal implants, due to the hazardous effects of the magnetic field. * If on immunomodulatory therapy, they must have been on that therapy for at least 6 months before the start of the study. Healthy age- and sex-matched controls for PASC -

Design outcomes

Primary

MeasureTime frameDescription
Comparison between PASC and HC - difference in mean Assessment ErrorBaseline, during experimental protocol.The difference between the level of effort rated by participants, and their average grip force exerted on a grip force dynamometer. Compared between PASC and HC.
Comparing between PASC and HC - difference in BBB permeabilityBaseline, during MRI acquisition.Collected from and MRI sequence designed to measure BBB permeability.
Comparing between PASC and HC - Regions of the brain that are sensitive to Assessment error as a function of disease stateBaseline, during experimental protocol.We will examine an fMRI contrast, at the time of effort assessment, between HC and PASC groups. This contrast will examine percent signal change in brain activity.
The modulatory effect of BBB permeability on the relationship between Neural Activity and Effort AssessmentBaseline, during experimental protocol and MRI aquisition.We will create a structural equation model that includes BBB permeability, fMRI activity, effort assessment behavior, and disease state (PASC/HC).
Comparing between PASC and HC - Difference in momentary subjective fatigue ratingsBaseline and during fatiguing exertions in the experimental protocol.Measures of subjective fatigue will be collected on self report scale that ranges from 'not fatigued at all' to 'very fatigued'.
Comparing between PASC and HC - Difference in Mean Acceptance Rate of Risky Effort Options between rested/baseline and fatigue choicesBaseline and during fatiguing exertions in the experimental protocol.Proportion of decisions in which inviduals choice to accept a risky effort opitions over a sure effort option.
Comparing between PASC and HC - Regions of the brain encoding a difference in effort cost between rested/baseline and fatigue choicesBaseline and during fatiguing exertions in the experimental protocol.We will examine a contrast between chosen effort value pre versus post fatigue, between the HC and PASC groups. This contrast will examine percent signal change in brain activity.
The modulatory effect of BBB permeability on the relationship between Neural Activity and change effort-based decision-makingBaseline, fatigueing exertion, and during experimental protocol and MRI aquisitionWe will create a structural equation model that includes BBB permeability, fMRI activity, change in effort-based decision-making, and disease state (PASC/HC).
Comparing between PASC and HC - Difference in mean assessment error as a function of timeData collections at months 0, 3, 6, 12The difference between the level of effort rated by participants, and their average grip force exerted on a grip force dynamometer. Compared between PASC and HC.
Comparing between PASC and HC - Difference in momentary subjective fatigue ratings as a function of timeData collections at months 0, 3, 6, 12Measures of subjective fatigue will be collected on self report scale that ranges from 'not fatigued at all' to 'very fatigued'.
Comparing between PASC and HC - difference in BBB permeability as a function of timeData collections at months 0, 3, 6, 12Collected from and MRI sequence designed to measure BBB permeability.
Comparing between PASC and HC - Regions of the brain that are sensitive to Assessment error as a function of disease state and timeData collections at months 0, 3, 6, 12We will examine a contrast, at the time of effort assessment, between HC and PASC groups, and use time as a covariate. This contrast will examine percent signal change in brain activity.

Countries

United States

Contacts

Primary ContactAnthony Gonzalez
gonzalezan@kennedykrieger.org443-923-2716
Backup ContactVikram Chib, PhD

Outcome results

None listed

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