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Insufficient inhibitory control is one pathway through which early adversity is related to a range of problems including excessive alcohol use, tobacco use, and unhealthy eating. The proposed research leverages a neurally informed model of inhibitory control and how it can be improved to test the efficacy of a person-centered inhibitory control intervention in a sample of mid-life individuals with early adversity. The knowledge obtained by this study could be scaled into a flexible, low-cost, and wide-ranging intervention to remediate some of the effects of early adversity on inhibitory control and thus a number of prevalent health risking behaviors.
Early adversity (EA) in humans is a major contributing factor to a range of deleterious physical and mental health outcomes extending through adulthood such as depression and anxiety, obesity and heart disease, and premature death. In addition to detracting significantly from individual well being and quality of life, these conditions also consume considerable resources from federal, state, and community organizations. The mechanisms through which EA exerts its effects on these outcomes are increasingly well understood, and include neurocognitive pathways related to executive function. An intervention that can successfully target, engage with, and alter the functioning of one or more of these mechanisms would be a promising way of mitigating the impact of EA on deleterious outcomes later in life. The proposed research focuses on one such pathway-deficits in inhibitory control (IC)-and tests the feasibility and efficacy of an intervention to increase functioning in that pathway in a sample of individuals who experienced EA. The intervention is grounded in a neurally informed model of change that specifies deficits in IC as an underlying causal factor common to several health-risking behaviors (HRBs). These IC deficits emerge during development as a result of a range of EA, and, critically, can be remediated in mid-life through targeted intervention. Research from our laboratory has validated an intervention that can increase IC performance and alter its underlying neural systems in young adults (Berkman, Kahn, & Merchant, 2014). The next step in this program of research, proposed here, is to test the efficacy of that intervention in a sample of mid-life individuals who have experienced EA and the extent to which our intervention generalizes to HRBs that are prevalent in that sample. The first Aim is to test whether the intervention alters the IC system in tasks both similar to and dissimilar from the training task in terms of both behavioral performance and neural functioning. The second Aim is to test whether alterations in the functioning of the underlying neural systems mediate the effect of the intervention on performance and disinhibition-related HRBs. The two Aims will be accomplished within the context of a single randomized controlled trial (RCT) with two arms (IC training vs. active control) and pre-post measurements of IC performance, IC neural systems, and HRBs. All participants (N = 110) come to the lab for an initial assessment of behavioral / neural measures of IC and HRBs, among other measures. Then, participants are randomly assigned to receive a Person-Centered Inhibitory Control (PeCIC) training or active control training, every other day for 3-4 weeks. The PeCIC systematically pairs IC engagement with alcohol, tobacco, and/or energy-dense food cues, depending on each participant's reports of disinhibited behavior in those domains. The active control task uses personalized cues and response time tasks but does not involve IC. Finally, participants return to the laboratory for an endpoint assessment where all baseline measures are repeated. The two Aims will be robustly tested in a series of analyses comparing the behavioral and neural change from pre- to postintervention between the groups.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| IC Training | Experimental | The experimental arm (ARM1) is a "person-centered inhibitory control" training intervention, or PeCIC. Between the baseline and endpoint sessions, participants come to our lab 12 times to participate in the training sessions. Each participant is randomly assigned to either the PeCIC training or an active control training. The training sessions will take place approx. every other day for 24 days. Beginning 2-3 days after the baseline session, the experimental group (will come to our behavioral testing lab to receive the PeCIC training. At 11 sessions spaced one every other day, participants will complete one 8-min run of a modified stop-signal task. The cue on each trial (preceding the "go" signal arrow) will be an image of a personalized risk-cue (PRC) or a neural image. |
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| Control Training | Active Comparator | Participants in the active control group (ARM2) of the PeCIC intervention will come to the behavioral testing laboratory to complete an 8-min control task every other day for 12 sessions. This control task is identical to the PeCIC except the auditory stop cues are omitted. All other procedures, settings, and schedules are identical to those in the experimental group. The only difference between the groups is that the active control does not practice IC. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Person-centered inhibitory control training | Behavioral | A brief, computer-based, multisession training aimed at increasing the connection between environmental risk cues (e.g., cigarettes) and engagement of the brain network for inhibitory control. |
| Measure | Description | Time Frame |
|---|---|---|
| Inhibitory control performance, Task 1 | Performance on a standard inhibitory control task (Stop-Signal) with personal risk cues | 1 month |
| Inhibitory control performance, Task 2 | Performance on a standard inhibitory control task (Go/No-Go) with personal risk cues | 1 month |
| Inhibitory control neural activity | Early ("proactive") engagement of the inferior frontal gyrus and dorsal anterior cingulate cortex during the inhibitory control tasks | 1 month |
| Measure | Description | Time Frame |
|---|---|---|
| Far transfer to a task related to inhibitory control, Behavioral marker | Performance on a standard risky-behavior task (Balloon Analogue Risk task) | 1 month |
| Far transfer to a task related to inhibitory control, Neural marker |
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Inclusion Criteria:
Exclusion Criteria:
Beyond these criteria, participants will be recruited without exclusions based on gender, race, or ethnicity, so our sample will reflect the diversity in the local population (Lane County, Oregon) with regard to gender, race, and ethnicity.
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| Name | Affiliation | Role |
|---|---|---|
| Elliot T Berkman, PhD | University of Oregon | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Oregon, Social and Affective Neuroscience Laboratory | Eugene | Oregon | 97403 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26985399 | Background | Fisher PA, Berkman ET. Designing Interventions Informed by Scientific Knowledge About Effects of Early Adversity: A Translational Neuroscience Agenda for Next Generation Addictions Research. Curr Addict Rep. 2015 Dec 1;2(4):347-353. doi: 10.1007/s40429-015-0071-x. Epub 2015 Sep 28. | |
| 25790099 | Background | Berkman ET, Lukinova E, Menshikov I, Myagkov M. Sociality as a natural mechanism of public goods provision. PLoS One. 2015 Mar 19;10(3):e0119685. doi: 10.1371/journal.pone.0119685. eCollection 2015. |
| Label | URL |
|---|---|
| Social and Affective Neuroscience (SAN) Laboratory website | View source |
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| Active behavioral response training | Behavioral | A brief computer-based, multisession training aimed at training behavioral responses to personalized environmental risk cues (e.g., cigarettes) that does not engage the inhibitory control network of the brain. |
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Neural activity during a standard risky-behavior task (Balloon Analogue Risk task)
| 1 month |
| Health-risking behavior | Standard self-report questions regarding health-risking behavior related to inhibitory control (e.g., cigarette smoking, excessive alcohol intake, illicit drug use and prescription drug misuse, and excessive energy intake) | 1 month, 3 months |
| 25984820 | Background | Giuliani NR, Tomiyama AJ, Mann T, Berkman ET. Prediction of daily food intake as a function of measurement modality and restriction status. Psychosom Med. 2015 Jun;77(5):583-90. doi: 10.1097/PSY.0000000000000187. |
| Study recruitment website | View source |
| ID | Term |
|---|---|
| D012907 | Smoking |
| D000428 | Alcohol Drinking |
| D019966 | Substance-Related Disorders |
| ID | Term |
|---|---|
| D001519 | Behavior |
| D004327 | Drinking Behavior |
| D064419 | Chemically-Induced Disorders |
| D001523 | Mental Disorders |
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| ID | Term |
|---|---|
| C119011 | 26S proteasome non-ATPase regulatory subunit 13 |
| C572206 | JPT1 protein, human |
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