Neurocognitive Disorders in Substance Use Disorders

Ekhtiari, Hamed; Zare-Bidoky, Mehran; Verdejo-García, Antonio

doi:10.1007/978-3-030-36391-8_81

Cited by 7 publications

(4 citation statements)

References 109 publications

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“…Current neuroscience-based models (Koob & Volkow, 2016;Yücel et al, 2019) conceptualize SUD as neuroadaptive / neurodevelopmental processes that happen at two different time scales: (1) a recurring cycle of binge/intoxication, withdrawal/negative affect, and preoccupation/anticipation (craving) stages; and (2), a protracted "allostasis" that progressively alters neurotransmitter and stress responses, resulting in neuroplastic changes in brain reward, stress, and executive function systems. Identifying the neurocognitive domains implicated in each stage has considerable potential to help practitioners and clinicians improve their insight into SUD and apply that knowledge to more effectively treat and/or prevent SUD (Ekhtiari et al, 2021;Debenham et al, 2020). Additional conceptualizations of SUD have focused on neurodevelopmental processes (Rose et al, 2019;Conrod and Nikolaou, 2016) to highlight the importance of individual differences and contextual factors such as trauma (Laroque et al, 2022), in moderating the above processes in formation of SUD (Morin et al, 2018;Afzali et al, 2017;.…”

Section: Introductionmentioning

confidence: 99%

Neuroscience-informed classification of prevention interventions in substance use disorders: An RDoC-based approach

Rezapour,

Rafei,

Baldacchino

et al. 2024

Neuroscience & Biobehavioral Reviews

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Section: Introductionmentioning

confidence: 99%

Neuroscience-informed classification of prevention interventions in substance use disorders: An RDoC-based approach

Rezapour,

Rafei,

Baldacchino

et al. 2024

Neuroscience & Biobehavioral Reviews

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“…Alcohol use disorder (AUD) is characterized by high relapse rates despite severe negative consequences (1). Multiple studies have indicated that alcohol-related cues can promote drugseeking behavior in the context of AUD which has been termed cue reactivity (2). In particular, neural activation in response to alcohol cues has been associated with drinking outcomes (3)(4)(5).…”

Section: Introductionmentioning

confidence: 99%

Effects of a brief mindfulness meditation practice on Pavlovian-to-instrumental transfer in alcohol use disorder – a pilot study

et al. 2023

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IntroductionPavlovian conditioned contextual cues have been suggested to modulate instrumental action and might explain maladaptive behavior such as relapse in participants suffering from alcohol use disorder (AUD). Pavlovian-to-Instrumental transfer (PIT) experimentally assesses the magnitude of this context-dependent effect and studies have shown a larger PIT effect in AUD populations. Taken this into account, a reduction of the influence of cues on behavior seems warranted and one approach that could alter such cue reactivity is mindfulness. Mindfulness-based interventions have been shown to be efficient in the treatment of AUD, but underlying mechanisms are yet to be elucidated. Therefore, we aim at investigating the effect of a brief mindful body scan meditation on the magnitude of the PIT effect in AUD subjects and matched controls.MethodsUsing a randomized within-subjects design, we compared the effect of a short audio guided body scan meditation against a control condition (audio of nature sounds) on PIT in healthy (n = 35) and AUD (n = 27) participants.ResultsWe found no differences in PIT effect between healthy and AUD participants as well as between conditions. However, a significant interaction effect points to a decreased PIT effect after body scan meditation in AUD subjects only.DiscussionThese pilot results suggest that AUD might be susceptible to mindfulness-induced changes in PIT, with these findings contributing to entangling the underlying mechanisms of the efficacy of mindfulness-based interventions in AUD. However, further investigation should confirm these preliminary results and the efficacy of mindfulness meditation practice in decreasing the PIT effect.

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“…Current neuroscience-based models (Koob & Volkow, 2016;Yücel et al, 2019) conceptualize SUD as neuroadaptive / neurodevelopmental processes that happen at two different time scales: (1) a recurring cycle of binge/intoxication, withdrawal/negative affect, and preoccupation/anticipation (craving) stages; and (2), a protracted "allostasis" that progressively alters neurotransmitter and stress responses, resulting in neuroplastic changes in brain reward, stress, and executive function systems. Identifying the neurocognitive domains implicated in each stage has considerable potential to help practitioners and clinicians improve their insight into SUD and apply that knowledge to more effectively treat and/or prevent SUD (Ekhtiari et al, 2021;Meredith et al, 2021;Debenham et al, 2020). Additional conceptualizations of SUD have focused on neurodevelopmental processes (Rose et al, 2019;Conrod and Nikolaou, 2016) to highlight the importance of individual differences and contextual factors such as trauma (Laroque et al, 2022), in moderating the above processes in the formation of SUD (Morin et al, 2018;Afzali et al, 2017;.…”

Section: Introductionmentioning

confidence: 99%

Neuroscience-Informed Classification of Prevention Interventions in Substance Use Disorders: An RDoC-based Approach

Rezapour

Rafei

Baldacchino

et al. 2022

Preprint

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Neuroscience has contributed to uncover the mechanisms underpinning substance use disorders (SUD). The next frontier is to leverage these mechanisms as active ingredients to create more effective interventions for SUD. Recent large-scale cohort studies are generating multiple levels of neuroscience-based information with potential to inform the development and refinement of future preventive strategies. However, there is still no available well-recognized frameworks to guide the integration of these complex datasets into prevention trial protocols. The Research Domain Criteria (RDoC) provides a neuroscience-based multi-system framework that is well suited to facilitate translation of neurobiological mechanisms into behavioural domains amenable to preventative interventions. We propose a novel RDoC-based framework for prevention science that organizes and advances the integration of technologies and findings from neuroscience into the refinement of current and construction of future preventive and early interventions. This neuroscience-informed framework categorizes addiction risk factors within the dysfunction of the five major RDoC constructs (Negative Valence Systems, Positive Valence Systems, Cognitive Systems, Arousal and Regulatory Systems, and Social Processes). We adapted the framework for the existing preventive interventions and categorized their components using RDoC constructs. From a systematic review of randomized controlled trials using a person-centered drug/alcohol preventive approach for adolescents (13-18 years), we identified 98 trials on 37 preventive interventions. We categorized them within this framework based on their potential target(s). By using this neuroscience-informed framework, distinct neurocognitive trajectories which have been recognized as precursors or risk factors for SUDs, can be targeted, and more importantly, the change processes can be evaluated to inform causal hypotheses. This framework can also inform individualized assessment, intervention development and outcome measurement in preventive interventions.

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Neurocognitive Disorders in Substance Use Disorders

Cited by 7 publications

References 109 publications

Neuroscience-informed classification of prevention interventions in substance use disorders: An RDoC-based approach

Neuroscience-informed classification of prevention interventions in substance use disorders: An RDoC-based approach

Effects of a brief mindfulness meditation practice on Pavlovian-to-instrumental transfer in alcohol use disorder – a pilot study

Neuroscience-Informed Classification of Prevention Interventions in Substance Use Disorders: An RDoC-based Approach

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