Executive Function Intervention for High School Students With ASD
NCT ID: NCT03199937
Last Updated: 2020-04-10
Study Results
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Basic Information
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COMPLETED
NA
68 participants
INTERVENTIONAL
2015-07-11
2019-06-30
Brief Summary
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Detailed Description
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Cognitive flexibility and planning are impaired in ASD, linked to core ASD symptoms, and embedded in anomalies of brain structure and function. Individuals with ASD fail to activate local cortical regions such as dorsolateral prefrontal cortex (DLPFC) and anterior cingulate cortex (ACC) on set-shifting (flexibility) tasks and show global abnormalities in the default mode, salience, and attentional networks associated with EF problems in attending to important information and implementing goal-directed behavior. In typical development, greater segregation between and greater connectivity within these networks is associated with better cognitive and behavioral regulation. Dr. Pugliese aims to determine whether treatment change can be objectively measured in the brain using functional MRI (fMRI). This cutting edge methodology is critical to identifying processes of treatment change at the neural level, consistent with the NIMH Research Domain Criteria framework, and may yield findings that impact the large variety of psychiatric and developmental disorders linked to EF deficits. Specifically, this study aligns with NIMH K23 guidance soliciting proposals for the development of pilot studies of novel treatments eliciting mechanisms of change.
AIM 1: Refine the Flexible Futures treatment manual and test acceptability, feasibility, and effectiveness in a school setting.
Dr. Pugliese will refine the Flexible Futures manual based on expert opinion and feedback from our in-clinic pilot via an iterative process and run a school-based trial comparing Flexible Futures to social skills treatment. It is hypothesized that intervention acceptability, feasibility, and fidelity will reach an 80% benchmark (H1.1) and students who receive Flexible Futures will show improved EF flexibility and planning abilities in laboratory, school, and home settings post-treatment and at 5-month follow up compared to students who receive treatment as usual (H1.2).
AIM 2: Identify neural correlates of treatment change using fMRI.
Task-evoked and resting-state activation of prefrontal cortex networks will be assessed pre-/post-intervention. It is hypothesized that post-treatment, students receiving Flexible Futures will display increased (normalized) DLPFC and ACC activation during a well-established set-shifting task compared to those receiving social skills training (H2.1), and that activation will be positively correlated with behavioral/cognitive measures of EF (H2.2). It is also hypothesized that post-treatment, students receiving Flexible Futures will display increased connectivity within, and decreased connectivity across default mode, salience, and attentional networks compared to the control group (H2.3).
AIM 3: Identify biomarkers of later EF outcomes at the behavioral, cognitive, and neural level.
Baseline data will be combined across participants to provide a comprehensive EF profile in transition-age youth and identify predictors of later EF and global outcomes. It is hypothesized that baseline measures of EF (behavioral/ cognitive); DLPFC/ACC activation; and greater connectivity within and greater segregation between salience, attentional and default mode networks (neural) will all predict EF outcome and adaptive function. (H3.1).
Significance: Establishing the first effective school-based EF treatment for high-schoolers will provide critical and generalizable transition-related support, and a model for treatment in other prevalent disorders with known EF deficits (e.g. ADHD, anxiety). This training award will launch me toward Dr. Pugliese's ultimate career goals of 1) developing and implementing innovative interventions personalized for specific cognitive profiles, 2) developing school-based treatments to overcome disparities in access to healthcare; and 3) utilizing treatment studies as vehicles to identify biomarkers and provide insight into neural correlates of treatment change.
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
TREATMENT
SINGLE
Study Groups
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Flexible Futures
Flexible Futures uses cognitive behavioral therapy (CBT) techniques to target flexibility and planning by teaching core skills through personal goals chosen by students during treatment. Flexible Futures focuses on key functions needed for college success, such as: intrinsic motivation, how to implement skills socially, how thoughts and feelings affect planning and flexibility, self-advocacy skills necessary to promote independence, application of flexibility and organization scripts and strategies in the service of a long-term goal, and management of time and priorities. Guided practice begins with concrete interventionist support, and moves to interventionist cueing, self-cueing, and finally automatic use of the skills without support. Generalization is maximized with school staff as interventionists, parent training, home and classroom extension activities, and role-playing use of strategies in novel situations. Motivation is developed using student choice and natural motivators.
Flexible Futures
Flexible Futures is a novel and innovative cognitive-behavioral treatment that directly addresses executive function and self-regulation deficits in ASD. Flexible futures targets flexibility and planning through self-regulatory scripts that are consistently modeled and reinforced. Scripts compensate for the inner speech and organization/integration deficits in ASD, and are practiced repeatedly to achieve automaticity. Content focuses on key functions needed for college success, such as: intrinsic motivation, how to implement skills socially, self-advocacy skills application of flexibility and organization scripts and strategies in the service of a long-term goal, and management of time and priorities.
Waitlist control group
Current standard of care
Current standard of care
Flexible Futures will be compared to a social skills treatment as usual that capitalizes on current standard of care provided by local school districts.
Interventions
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Flexible Futures
Flexible Futures is a novel and innovative cognitive-behavioral treatment that directly addresses executive function and self-regulation deficits in ASD. Flexible futures targets flexibility and planning through self-regulatory scripts that are consistently modeled and reinforced. Scripts compensate for the inner speech and organization/integration deficits in ASD, and are practiced repeatedly to achieve automaticity. Content focuses on key functions needed for college success, such as: intrinsic motivation, how to implement skills socially, self-advocacy skills application of flexibility and organization scripts and strategies in the service of a long-term goal, and management of time and priorities.
Current standard of care
Flexible Futures will be compared to a social skills treatment as usual that capitalizes on current standard of care provided by local school districts.
Eligibility Criteria
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Inclusion Criteria
* Ages 14-22
* Verbal IQ estimate of ≥ 90 on the Wechsler Abbreviated Intelligence Scale-2
* Clinical diagnosis of ASD OR school classification of autism confirmed by clinical impressions and the Social Responsiveness Scale-Revised total score ≥ 65. If the research staff feels that clinical impressions indicate a diagnosis, but parent report is below threshold, the Autism Diagnostic Observation Schedule-2 will be completed.
Exclusion Criteria
* MRI exclusion: contraindication (metal implant or medical device) for MRI
14 Years
22 Years
ALL
No
Sponsors
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Georgetown University
OTHER
Children's National Research Institute
OTHER
Responsible Party
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Cara Pugliese
Principal Investigator
Principal Investigators
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Cara E Pugliese, Ph.D.
Role: PRINCIPAL_INVESTIGATOR
Children's National Research Institute
Locations
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Children's Research Institute
Washington D.C., District of Columbia, United States
Countries
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References
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Other Identifiers
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OAR Innovative Research Award
Identifier Type: OTHER
Identifier Source: secondary_id
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