Connectivity Changes Following Episodic Future Thinking in Alcohol Use Disorder

<b><i>Introduction:</i></b> Recent addiction and obesity-related research suggests that episodic future thinking (EFT) can serve as a promising intervention to promote healthy decision-making. We used data from a pilot study to investigate the acute neural effects of EFT in alcohol use disorder (AUD). Because of the limitations of those data, we additionally used data from a previously published functional MRI (fMRI) study in which participants had not received any intervention for their AUD. <b><i>Methods:</i></b> In an out-of-scanner, guided interview, participants (<i>n</i> = 24; median age = 37.3 years; median AUDIT = 22.5) generated scenarios and cues about their future (EFT intervention, <i>n</i> = 15) or recent past (control episodic thinking [CET] control intervention, <i>n</i> = 9). Then, they performed both resting-state and task-based (delay discounting [DD]) fMRI. We used nodes from the default mode network and salience networks as well as the hippocampus to perform seed-based analyses of the resting-state data. The results then guided psychophysiological interaction analyses in the DD task. In addition, we used data from a larger, previously reported study as a "no intervention" group of AUD participants (<i>n</i> = 50; median age = 43.3; median Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) alcohol dependence score = 7) to reproduce and aid in interpreting our key findings. <b><i>Results:</i></b> EFT, but not CET, participants showed statistically improved DD rates-a behavioral marker for addiction. Resting-state analyses of the left hippocampus revealed connectivity differences in the frontal poles. The directionality of this difference suggested that EFT may reduce a hypo-connectivity relationship between these regions in AUD. We also found resting-state connectivity differences between the salience network and the right dorsolateral prefrontal cortex (R DLPFC), which then led us to discover R-to-L DLPFC psychophysiological interaction differences during DD. Moreover, the resting-state salience-to-DLPFC functional connectivity showed an inverse relationship to DD rate while hyperconnectivity between left and right DLPFC reflected slower reaction times during DD trials. <b><i>Discussion:</i></b> These findings suggest that previously noted benefits of EFT such as the improved DD replicated here might coincide with changes in neural connectivity patterns in AUD. The alterations in connectivity highlight potential mechanisms underlying the effectiveness of EFT in improving decision-making in AUD. Understanding these neural effects may contribute to the further development of targeted interventions for AUD and related disorders.

Authors

Institutions

Publication Details

Journal
Brain Connectivity
Published
2024-09-20
DOI
https://doi.org/10.1089/brain.2024.0025
Citations
3
Primary Topic
Cognitive Abilities and Testing
Type
article
Field-Weighted Citation Impact
1.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Connectivity Changes Following Episodic Future Thinking in Alcohol Use Disorder

Rafaela M. Fontes, Devin C Tomlinson, Jeremy Myslowski, Anita S. Kablinger et al.
3 citations
Brain Connectivity
Cognitive Abilities and Testing
1.52
article

Connectivity Changes Following Episodic Future Thinking in Alcohol Use Disorder

Rafaela M. Fontes, Devin C Tomlinson, Jeremy Myslowski, Anita S. Kablinger, Stephen M. LaConte, Jonathan Lisinski, Mikhail N. Koffarnus, Warren K. Bickel, Samuel McClure, James MacKillop
article en
3 citations

Abstract

<b><i>Introduction:</i></b> Recent addiction and obesity-related research suggests that episodic future thinking (EFT) can serve as a promising intervention to promote healthy decision-making. We used data from a pilot study to investigate the acute neural effects of EFT in alcohol use disorder (AUD). Because of the limitations of those data, we additionally used data from a previously published functional MRI (fMRI) study in which participants had not received any intervention for their AUD. <b><i>Methods:</i></b> In an out-of-scanner, guided interview, participants (<i>n</i> = 24; median age = 37.3 years; median AUDIT = 22.5) generated scenarios and cues about their future (EFT intervention, <i>n</i> = 15) or recent past (control episodic thinking [CET] control intervention, <i>n</i> = 9). Then, they performed both resting-state and task-based (delay discounting [DD]) fMRI. We used nodes from the default mode network and salience networks as well as the hippocampus to perform seed-based analyses of the resting-state data. The results then guided psychophysiological interaction analyses in the DD task. In addition, we used data from a larger, previously reported study as a "no intervention" group of AUD participants (<i>n</i> = 50; median age = 43.3; median Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) alcohol dependence score = 7) to reproduce and aid in interpreting our key findings. <b><i>Results:</i></b> EFT, but not CET, participants showed statistically improved DD rates-a behavioral marker for addiction. Resting-state analyses of the left hippocampus revealed connectivity differences in the frontal poles. The directionality of this difference suggested that EFT may reduce a hypo-connectivity relationship between these regions in AUD. We also found resting-state connectivity differences between the salience network and the right dorsolateral prefrontal cortex (R DLPFC), which then led us to discover R-to-L DLPFC psychophysiological interaction differences during DD. Moreover, the resting-state salience-to-DLPFC functional connectivity showed an inverse relationship to DD rate while hyperconnectivity between left and right DLPFC reflected slower reaction times during DD trials. <b><i>Discussion:</i></b> These findings suggest that previously noted benefits of EFT such as the improved DD replicated here might coincide with changes in neural connectivity patterns in AUD. The alterations in connectivity highlight potential mechanisms underlying the effectiveness of EFT in improving decision-making in AUD. Understanding these neural effects may contribute to the further development of targeted interventions for AUD and related disorders.

Brain ConnectivityVol. 14(10)
University of Kentucky (US), University of Michigan (US), Carilion Roanoke Memorial Hospital (US), Michigan United (US), Biomedical Research Institute (US), Arizona State University (US), Carilion Clinic (US), Hamilton Health Sciences (CA), Virginia Tech (US), McMaster University (CA)
Openalex Percentile: Top 16%
Cognitive Abilities and Testing
1.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.