Brain-Training Treatment for Long COVID in Older Adults
NCT ID: NCT05705193
Last Updated: 2026-01-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
40 participants
INTERVENTIONAL
2023-04-07
2026-06-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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Computerized Cognitive Remediation
NeuroFlex (computerized gamified tasks)
The computerized cognitive remediation intervention ("NeuroFlex") consists of a series of gamified tasks (e.g., BrainHQ, Neurogrow, Ultimate Word Master) administered via computer tablet. The intervention provides both "bottom up" training to improve basic processing of sensory stimuli and "top down" training to improve executive functions. Participants will be asked to complete approximately 7.5 hours a week of computer treatment over an approximately 6-week period, for a total of approximately 45 hours of treatment. The treatment will be completed remotely by the participant within their own home or other private location that is most convenient for the participant.
Interventions
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NeuroFlex (computerized gamified tasks)
The computerized cognitive remediation intervention ("NeuroFlex") consists of a series of gamified tasks (e.g., BrainHQ, Neurogrow, Ultimate Word Master) administered via computer tablet. The intervention provides both "bottom up" training to improve basic processing of sensory stimuli and "top down" training to improve executive functions. Participants will be asked to complete approximately 7.5 hours a week of computer treatment over an approximately 6-week period, for a total of approximately 45 hours of treatment. The treatment will be completed remotely by the participant within their own home or other private location that is most convenient for the participant.
Eligibility Criteria
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Inclusion Criteria
* age ≥ 60 years old
* current self-reported cognitive symptoms persisting after the acute phase of the illness (i.e., \>4 weeks after COVID-19 symptom onset) that cannot be explained by alternative diagnoses
* evidence of subjective cognitive impairment with a Functional Assessment of Cancer Therapy - Cognitive Function (FACT-Cog) Perceived Cognitive Impairment (PCI) Subscale Score of ≤ 40 and/or endorsing any item on the FACT-Cog PCI Subscale as occurring nearly every day or several times a day
* Telephone Interview for Cognitive Status (TICS) ≥ 27
* fluent in English
* off psychiatric medications or on a stable dose for at least 1 month prior to commencing the study with no intention to change dose prior to completion of the study.
Exclusion Criteria
* prior diagnosis of Mild Cognitive Impairment (MCI) or Mild Neurocognitive Disorder unrelated to the participant's history of COVID-19
* history of significant psychiatric illness per Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), criteria that may interfere with study participation or confound results (e.g., schizophrenia or other psychotic disorder, bipolar and related disorders, major depressive disorder with psychotic features, personality disorder)
* history of significant neurodevelopmental condition that may interfere with study participation or confound results (e.g., intellectual disability, autism spectrum disorder)
* alcohol or other substance use disorder within the past 2 years
* significant sensory or motor impairments (e.g., blindness) that may interfere with the ability to complete neuropsychological measures or engage in the intervention
60 Years
ALL
No
Sponsors
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National Institute on Aging (NIA)
NIH
UConn Health
OTHER
Responsible Party
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Cutter Lindbergh
Assistant Professor
Principal Investigators
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Cutter Lindbergh, Ph.D.
Role: PRINCIPAL_INVESTIGATOR
UConn Health
Locations
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UConn Health
Farmington, Connecticut, United States
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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Departmental Funds
Identifier Type: OTHER
Identifier Source: secondary_id
23-089-2
Identifier Type: -
Identifier Source: org_study_id
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