University of Florida
Gainesville, Florida, 32610, United States
Location status: Recruiting
Location contact
Joseph Gullett, PhD
CONTACT
Joseph M Gullett, PhD
PRINCIPAL_INVESTIGATOR
NCT Number: NCT05903573
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.
Interested in participating?
Request Info55 year–100 year
All sexes
Interventional
Not applicable
Gainesville, Florida, 32610, United States
Location status: Recruiting
Joseph Gullett, PhD
CONTACT
Joseph M Gullett, PhD
PRINCIPAL_INVESTIGATOR
This randomized controlled clinical trial proposes to test a well-supported Cognitive Training intervention approach for enhancing cognition in older adults who meet criteria for amnestic mild cognitive impairment (aMCI). The trial will recruit participants recently enrolled in a larger multi-site clinical trial (NCT04171323) at the University of Florida site based on meeting inclusion criteria and willingness to participate in the additional procedures (baseline MRI) required. The intervention will consist of a take-home, iPad-based, adaptive cognitive training (Posit Science Brain HQ Suite) program which participants will be trained to self-administer 2-3 days/week for 60-minutes per session over the course of 16 weeks with a goal of completing 40 training sessions total. Participants randomized to one of four arms of cognitive training or an active control condition. All cognitive training arms will include training on a measure of rapid decision making (Double Decision, similar to the Useful Field of View [UFOV] task) in addition to a combination of other subtests to determine which combination best facilitates cognitive gains.
Outcomes: The investigators plan to test the hypotheses that 1) Compared to the active control condition, CT will result in greater than 1.0SD cognitive improvement on several trained tasks (proximal transfer) and untrained cognitive skills (near transfer) for 20% of the sample, while another 20% will continue to experience cognitive decline equivalent to 1.0SD or greater despite adequate adherence to the intervention, and 2) baseline factors related to cognitive function, brain structure, and resting-state brain function can ultimately predict which individuals will show improvement after the 16-week intervention. These baseline factors will be measured by a well-established neuropsychological battery, the useful field of view (UFOV) task, a detailed set of MRI sequences, and their associations with the outcomes will be determined by a type of machine learning known as multi-modal support vector machine (SVM). This type of analysis will allow the integration of a myriad of data points and MRI features to combine into a highly accurate predictive model for cognitive functioning improvement after intervention. The primary outcome measure that will be predicted by the SVM is the UFOV composite score change, which is a combination of post-minus-pre intervention change across UFOV processing speed, selective attention, and divided attention scores. The secondary outcome measure that will be predicted by the SVM is the Posit Composite score, which is a fixed difficulty assessment of proximal transfer effects of the trained tasks. Assessments will occur at baseline (month 1) and at the end of the 16-week intervention (Month 4). Brain imaging will only be performed at baseline. The primary aim is to further establish the efficacy of this well-supported cognitive training paradigm in a population of patients with amnestic Mild Cognitive Impairment, and the secondary aim is to distinguish intervention responders from non-responders using baseline cognitive, functional-neural, and demographic data alone.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
The intervention group will receive cognitive training that provides specific training tasks directed at essential cognitive domains tied to the project's aims and hypotheses (processing speed and working memory) that correspond with the neurocognitive and functional neuroimaging measures to be studied.
Participants will complete cognitively-stimulating computer activities. The duration is 60 min/day; the frequency is two to three days/wk, for 16 weeks with the goal of completing 40 sessions.
Time frame: Baseline up to week 12 during follow-up
The Useful Field of View (UFOV) composite change score is calculated by subtracting the post-intervention score (0-500) from the pre-intervention score (0-500), where a more negative change score is indicative of stronger improvement after intervention (range +500 to -500).
Contact information is provided by the study sponsor or research team.
University of Florida
Other
Using Artificial Intelligence to Predict Cognitive Training Response in Amnestic Mild Cognitive Impairment
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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