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Decoding fMRI alcohol cue reactivity and its association with drinking behaviour

BACKGROUND: Cue reactivity, the enhanced sensitivity to conditioned cues, is associated with habitual and compulsive alcohol consumption. However, most previous studies in alcohol use disorder (AUD) compared brain activity between alcohol and neutral conditions, solely as cue-triggered neural reacti...

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Autores principales: Tan, Haoye, Gerchen, Martin Fungisai, Bach, Patrick, Lee, Alycia M, Hummel, Oliver, Sommer, Wolfgang, Kirsch, Peter, Kiefer, Falk, Vollstädt-Klein, Sabine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035780/
https://www.ncbi.nlm.nih.gov/pubmed/36822819
http://dx.doi.org/10.1136/bmjment-2022-300639
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author Tan, Haoye
Gerchen, Martin Fungisai
Bach, Patrick
Lee, Alycia M
Hummel, Oliver
Sommer, Wolfgang
Kirsch, Peter
Kiefer, Falk
Vollstädt-Klein, Sabine
author_facet Tan, Haoye
Gerchen, Martin Fungisai
Bach, Patrick
Lee, Alycia M
Hummel, Oliver
Sommer, Wolfgang
Kirsch, Peter
Kiefer, Falk
Vollstädt-Klein, Sabine
author_sort Tan, Haoye
collection PubMed
description BACKGROUND: Cue reactivity, the enhanced sensitivity to conditioned cues, is associated with habitual and compulsive alcohol consumption. However, most previous studies in alcohol use disorder (AUD) compared brain activity between alcohol and neutral conditions, solely as cue-triggered neural reactivity. OBJECTIVE: This study aims to find the neural subprocesses during the processing of visual alcohol cues in AUD individuals, and how these neural patterns are predictive for relapse. METHODS: Using cue reactivity and rating tasks, we separately modelled the patterns decoding the processes of visual object recognition and reward appraisal of alcohol cues with representational similarity analysis, and compared the decoding involvements (ie, distance between neural responses and hypothesised decoding models) between AUD and healthy individuals. We further explored connectivity between the identified neural systems and the whole brain and predicted relapse within 6 months using decoding involvements of the neural patterns. FINDINGS: AUD individuals, compared with healthy individuals, showed higher involvement of motor-related brain regions in decoding visual features, and their reward, habit and executive networks were more engaged in appraising reward values. Connectivity analyses showed the involved neural systems were widely connected with higher cognitive networks during alcohol cue processing in AUD individuals, and decoding involvements of frontal eye fields and dorsolateral prefrontal cortex could contribute to relapse prediction. CONCLUSIONS: These findings provide insight into how AUD individuals differently decode alcohol cues compared with healthy participants, from the componential processes of visual object recognition and reward appraisal. CLINICAL IMPLICATIONS: The identified patterns are suggested as biomarkers and potential therapeutic targets in AUD.
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spelling pubmed-100357802023-08-21 Decoding fMRI alcohol cue reactivity and its association with drinking behaviour Tan, Haoye Gerchen, Martin Fungisai Bach, Patrick Lee, Alycia M Hummel, Oliver Sommer, Wolfgang Kirsch, Peter Kiefer, Falk Vollstädt-Klein, Sabine BMJ Ment Health Imaging Studies BACKGROUND: Cue reactivity, the enhanced sensitivity to conditioned cues, is associated with habitual and compulsive alcohol consumption. However, most previous studies in alcohol use disorder (AUD) compared brain activity between alcohol and neutral conditions, solely as cue-triggered neural reactivity. OBJECTIVE: This study aims to find the neural subprocesses during the processing of visual alcohol cues in AUD individuals, and how these neural patterns are predictive for relapse. METHODS: Using cue reactivity and rating tasks, we separately modelled the patterns decoding the processes of visual object recognition and reward appraisal of alcohol cues with representational similarity analysis, and compared the decoding involvements (ie, distance between neural responses and hypothesised decoding models) between AUD and healthy individuals. We further explored connectivity between the identified neural systems and the whole brain and predicted relapse within 6 months using decoding involvements of the neural patterns. FINDINGS: AUD individuals, compared with healthy individuals, showed higher involvement of motor-related brain regions in decoding visual features, and their reward, habit and executive networks were more engaged in appraising reward values. Connectivity analyses showed the involved neural systems were widely connected with higher cognitive networks during alcohol cue processing in AUD individuals, and decoding involvements of frontal eye fields and dorsolateral prefrontal cortex could contribute to relapse prediction. CONCLUSIONS: These findings provide insight into how AUD individuals differently decode alcohol cues compared with healthy participants, from the componential processes of visual object recognition and reward appraisal. CLINICAL IMPLICATIONS: The identified patterns are suggested as biomarkers and potential therapeutic targets in AUD. BMJ Publishing Group 2023-02-23 /pmc/articles/PMC10035780/ /pubmed/36822819 http://dx.doi.org/10.1136/bmjment-2022-300639 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Imaging Studies
Tan, Haoye
Gerchen, Martin Fungisai
Bach, Patrick
Lee, Alycia M
Hummel, Oliver
Sommer, Wolfgang
Kirsch, Peter
Kiefer, Falk
Vollstädt-Klein, Sabine
Decoding fMRI alcohol cue reactivity and its association with drinking behaviour
title Decoding fMRI alcohol cue reactivity and its association with drinking behaviour
title_full Decoding fMRI alcohol cue reactivity and its association with drinking behaviour
title_fullStr Decoding fMRI alcohol cue reactivity and its association with drinking behaviour
title_full_unstemmed Decoding fMRI alcohol cue reactivity and its association with drinking behaviour
title_short Decoding fMRI alcohol cue reactivity and its association with drinking behaviour
title_sort decoding fmri alcohol cue reactivity and its association with drinking behaviour
topic Imaging Studies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035780/
https://www.ncbi.nlm.nih.gov/pubmed/36822819
http://dx.doi.org/10.1136/bmjment-2022-300639
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