Ecological Momentary Assessment and Personalized Networks in Cognitive Bias Modification Studies on Addiction: Advances and Challenges
Adding cognitive bias modification (CBM) to treatment as usual for alcohol use disorders has been found to reduce relapse rates. However, CBM has not yielded effects as a stand-alone intervention. One possible reason may be that this is due to CBM effects being underpinned by inferential rather than...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-06-01
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| Series: | Journal of Experimental Psychopathology |
| Online Access: | https://doi.org/10.1177/20438087231178123 |
| _version_ | 1797807611243921408 |
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| author | Alessandra C. Mansueto Ting Pan Pieter van Dessel Reinout W. Wiers |
| author_facet | Alessandra C. Mansueto Ting Pan Pieter van Dessel Reinout W. Wiers |
| author_sort | Alessandra C. Mansueto |
| collection | DOAJ |
| description | Adding cognitive bias modification (CBM) to treatment as usual for alcohol use disorders has been found to reduce relapse rates. However, CBM has not yielded effects as a stand-alone intervention. One possible reason may be that this is due to CBM effects being underpinned by inferential rather than associative mental mechanisms. This change in perspective has led to a proposed improved version of CBM: Inference-based ABC training. In ABC training, participants learn to relate the antecedents (A) of their addiction behavior to alternative behaviors (B) and to their expected consequences (C) in relation to their long-term goals. Mechanisms triggering and maintaining addiction, such as those targeted during ABC training, can differ between people. Ecological Momentary Assessment (EMA) and derived personalized statistics, including models depicting relationships between variables (i.e., personalized networks), are therefore promising tools to help to optimally personalize this training. In this paper, we (1) explain the theoretical background and first implementations of ABC training; (2) present novel approaches to personalize treatment based on EMA; (3) propose ways forward to integrate improved CBM approaches and EMA to potentially advance addiction treatment; and (4) discuss promises and challenges of these proposed new approaches. |
| first_indexed | 2024-03-13T06:25:11Z |
| format | Article |
| id | doaj.art-d0b2c6e51b7a41f1b562e419e257d8c1 |
| institution | Directory Open Access Journal |
| issn | 2043-8087 |
| language | English |
| last_indexed | 2024-03-13T06:25:11Z |
| publishDate | 2023-06-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Journal of Experimental Psychopathology |
| spelling | doaj.art-d0b2c6e51b7a41f1b562e419e257d8c12023-06-09T09:33:28ZengSAGE PublishingJournal of Experimental Psychopathology2043-80872023-06-011410.1177/20438087231178123Ecological Momentary Assessment and Personalized Networks in Cognitive Bias Modification Studies on Addiction: Advances and ChallengesAlessandra C. MansuetoTing PanPieter van DesselReinout W. WiersAdding cognitive bias modification (CBM) to treatment as usual for alcohol use disorders has been found to reduce relapse rates. However, CBM has not yielded effects as a stand-alone intervention. One possible reason may be that this is due to CBM effects being underpinned by inferential rather than associative mental mechanisms. This change in perspective has led to a proposed improved version of CBM: Inference-based ABC training. In ABC training, participants learn to relate the antecedents (A) of their addiction behavior to alternative behaviors (B) and to their expected consequences (C) in relation to their long-term goals. Mechanisms triggering and maintaining addiction, such as those targeted during ABC training, can differ between people. Ecological Momentary Assessment (EMA) and derived personalized statistics, including models depicting relationships between variables (i.e., personalized networks), are therefore promising tools to help to optimally personalize this training. In this paper, we (1) explain the theoretical background and first implementations of ABC training; (2) present novel approaches to personalize treatment based on EMA; (3) propose ways forward to integrate improved CBM approaches and EMA to potentially advance addiction treatment; and (4) discuss promises and challenges of these proposed new approaches.https://doi.org/10.1177/20438087231178123 |
| spellingShingle | Alessandra C. Mansueto Ting Pan Pieter van Dessel Reinout W. Wiers Ecological Momentary Assessment and Personalized Networks in Cognitive Bias Modification Studies on Addiction: Advances and Challenges Journal of Experimental Psychopathology |
| title | Ecological Momentary Assessment and Personalized Networks in Cognitive Bias Modification Studies on Addiction: Advances and Challenges |
| title_full | Ecological Momentary Assessment and Personalized Networks in Cognitive Bias Modification Studies on Addiction: Advances and Challenges |
| title_fullStr | Ecological Momentary Assessment and Personalized Networks in Cognitive Bias Modification Studies on Addiction: Advances and Challenges |
| title_full_unstemmed | Ecological Momentary Assessment and Personalized Networks in Cognitive Bias Modification Studies on Addiction: Advances and Challenges |
| title_short | Ecological Momentary Assessment and Personalized Networks in Cognitive Bias Modification Studies on Addiction: Advances and Challenges |
| title_sort | ecological momentary assessment and personalized networks in cognitive bias modification studies on addiction advances and challenges |
| url | https://doi.org/10.1177/20438087231178123 |
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