Training Response Artificial Intelligence Network (TRAIN)

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age55-100
SponsorUniversity of Florida

About this trial

This study will train a machine learning tool to predict response to a cognitive training intervention using baseline brain MRI sequences from older adults with amnestic mild cognitive impairment.

Eligibility criteria

Qualifiers

Evidence of changed cognition reported by a close informant as obtained by an interview with a licensed clinical psychologist (PI, Gullett)

Cognitive performance on one or more standardized neuropsychological measures of verbal or non-verbal memory > 1.0 standard deviation or more below the normative mean for age and education

No evidence of reported dependence in instrumental functional abilities (IADLs) despite reported cognitive difficulties

No evidence of dementia based on cognitive screening (Montreal Cognitive Assessment Score within normal limits for age, education, and sex using the NACC Uniform Data Set (UDS) norms.

Disqualifiers

Sensory loss (vision, hearing) or motor deficits that would preclude participation in the experimental tasks or neuropsychological assessment

English as a second language

Inability to undergo brain imaging due to claustrophobia or implants such as pacemakers, heart valves, brain aneurysm clips, orthodontics, non-removable body jewelry, or shrapnel containing ferromagnetic metal

Previous major strokes or other known significant brain abnormalities or diseases affecting the brain and/or cognition (e.g., Parkinson disease, multiple sclerosis, seizure disorder, brain surgery, moderate TBI, REM Behavior Sleep Disorder, untreated sleep apnea, etc.)

Trial design

Treatments tested in this trial

  • Cognitive Training
  • Computerized Cognitive Stimulation

Treatment groups

75 Participants
are divided into 2 treatment groups

Sponsors and collaborators

University of Florida

Lead sponsor

National Institute on Aging (NIA)

Collaborator