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
Sponsors and collaborators
University of Florida
Lead sponsor
National Institute on Aging (NIA)
Collaborator