Adolescent Neurodevelopment Within the Context of Impulsivity and Substance Use

Green, ReJoyce; Meredith, Lindsay R.; Mewton, Louise; Squeglia, Lindsay M.

doi:10.1007/s40429-023-00485-4

Cited by 4 publications

(6 citation statements)

References 113 publications

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“…Such observations concur with past studies, highlighting connectivity between frontal regions and substance-seeking behaviours in substance-abusing adults 46 . Despite prior evidence linking impulsivity scales to functional connectivity 47 , our analysis found no significant correlations. However, it’s notable that many impulsivity-related networks involve cortico-subcortical connections, which our measurement system may not fully capture.…”

Section: Discussioncontrasting

confidence: 99%

From electrophysiology to drink: Adolescent alcohol consumption predicted by differences in functional connectivity and neuroanatomy

del Cerro-León,

Antón-Toro,

Shpakivska-Bilan

et al. 2024

Preprint

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Alcohol consumption during adolescence has been associated with neuroanatomical abnormalities and the appearance of future disorders. However, the latest advances in this field point to the existence of risk profiles which may lead to some individuals into an early consumption. To date, some studies have established predictive models of consumption based on sociodemographic, behavioural, and anatomical-functional variables using MRI. However, the neuroimaging variables employed are usually restricted to local and hemodynamic phenomena. Given the potential of connectome approaches, and the high temporal dynamics of electrophysiology, we decided to explore the relationship between future alcohol consumption and electrophysiological connectivity measured by MEG in a cohort of 83 individuals aged 14 to 16. We calculated predictive models throughout multiple linear regressions based on behavioural, anatomical, and functional connectivity variables. As a result, we found a positive correlation between alcohol consumption and the functional connectivity in frontal, parietal, and frontoparietal connections. Also, we identified negative relationships of alcohol consumption with neuroanatomical variables. Finally, the linear regression analysis determined the importance of anatomical and functional variables in the prediction of alcohol consumption but failed to find associations with impulsivity, sensation-seeking, and executive function scales. As conclusion, the predictive traits obtained in these models were closely associated with changes occurring during neurodevelopment, suggesting the existence of different paths in neurodevelopment that have the potential to influence adolescents' relationship with alcohol consumption.

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Section: Discussioncontrasting

confidence: 99%

From electrophysiology to drink: Adolescent alcohol consumption predicted by differences in functional connectivity and neuroanatomy

del Cerro-León,

Antón-Toro,

Shpakivska-Bilan

et al. 2024

Preprint

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“…Studies have shown alterations in RSn in adolescents with substance abuse disorders, including those prone to binge drinking [20, 55, 56, 30] . These networks are instrumental in self-referential thinking, emotional regulation, and cognitive control, respectively, and their dysregulation has been associated with increased impulsivity and risk-taking behaviours, prevalent in individuals with adolescent alcohol misuse [57] . Our observation of the distinct cortical activity clusters coincides with these studies, suggesting a distinct interplay between various cortical networks and their developmental trajectories.…”

Section: Discussionmentioning

confidence: 99%

“…Binge Drinking (BD) [15] is characterized by the ingestion of high doses of alcohol (at least 4 standard alcohol units (SAUs) for women and 5 for men) within shorts periods of time [16]. This pattern of consumption has been demonstrated to be harmful to the adolescent's brain, due to its acute vulnerability against external factors during its development However, a major milestone in the study of adolescent BD it's the unravelling of predisposition profiles that lead some individuals to engage in BD years later, a field of study of increasing relevance [24]. Some neuroanatomical studies have identified brain's structural differences, including a reduction in the average volume of certain prefrontal, temporal and parietal regions before BD onset [25,26].…”

Section: Introductionmentioning

confidence: 99%

“…However, a major milestone in the study of adolescent BD it’s the unravelling of predisposition profiles that lead some individuals to engage in BD years later, a field of study of increasing relevance [24] . Some neuroanatomical studies have identified brain’s structural differences, including a reduction in the average volume of certain prefrontal, temporal and parietal regions before BD onset [25, 26] .…”

Section: Introductionmentioning

confidence: 99%

“…However, a major milestone in the study of adolescent BD it's the unravelling of predisposition profiles that lead some individuals to engage in BD years later, a field of study of increasing relevance[24].…”

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confidence: 99%

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Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning analysis

Uceta,

del Cerro-León,

Shpakivska-Bilán

et al. 2024

Preprint

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Background: The demand for fresh strategies to analyze intricate multidimensional data in neuroscience is increasingly evident. One of the most complex events during our neurodevelopment is adolescence, where our nervous system suffers constant changes, not only in neuroanatomical traits, but also in neurophysiological components. One of the most impactful factors we deal with during this time is our environment, especially when encountering external factors such as social behaviors or substance consumption. Binge Drinking (BD) has emerged as an extended pattern of alcohol consumption in teenagers, not only affecting their future lifestyle, but changing their neurodevelopment. Recent studies have changed their scope into finding predisposition factors that may lead adolescents into this kind of patterns of consumption.Methods: In this article, using unsupervised machine learning (UML) algorithms, we analyze the relationship between electrophysiological activity of healthy teenagers and the levels of consumption they had two years later. We used hierarchical agglomerative UML techniques based on Ward's minimum variance criterion to clusterize relations between power spectrum and functional connectivity and alcohol consumption, based on similarity in their correlations, in frequency bands from theta to gamma.Results: We found that all frequency bands studied had a pattern of clusterization based on anatomical regions of interest related to neurodevelopment and cognitive and behavioral aspects of addiction, highlighting the dorsolateral and medial prefrontal, the sensorimotor, the medial posterior and the occipital cortices. All this patterns, of great cohesion and coherence, showed an abnormal electrophysiological activity, representing a dysregulation in the development of core resting-state networks. The clusters found maintained not only plausibility in nature, but robustness, making this a great example of the usage of UML in the analysis of electrophysiological activity, a new perspective into analysis that, while contributing to classical statistics, can clarify new characteristics of the variables of interest.

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Impulsive buying in buyer–seller service encounters

Ali,

Tauni,

Butt

et al. 2024

Int J Consumer Studies

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This research examines the impact of buyer–seller similarities (dissimilarities) in Big Five personalities—agreeableness, conscientiousness, extraversion, openness, and neuroticism—on impulsive buying in a dyadic setting. The study further analyzed how the interaction intensity and sensory stimulation mediate the effect of buyer–seller similarities (dissimilarities) on impulsive buying. The authors gathered 1020 dyad data from various beauty salons located in China to achieve research objectives. Difference score analysis was used to compute buyer–seller similarity (dissimilarity), and a variance‐based structural equation modeling technique was applied to analyze the data. The results indicate that the similarity of dyads in agreeableness and openness increases impulsive buying, while similarity in neurotic dyads decreases impulsive buying. Furthermore, interaction intensity mediates the relationships of dyads' similarities—in extraversion and openness—with impulsive buying, while buyers' sensory stimulation mediates the associations of buyer–seller dyads' similarities—in extraversion, neuroticism, and openness—with impulsive buying. Finally, this study provides several implications for marketers in the services industry.

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Adolescent Neurodevelopment Within the Context of Impulsivity and Substance Use

Cited by 4 publications

References 113 publications

From electrophysiology to drink: Adolescent alcohol consumption predicted by differences in functional connectivity and neuroanatomy

From electrophysiology to drink: Adolescent alcohol consumption predicted by differences in functional connectivity and neuroanatomy

Clustering Electrophysiological Predisposition to Binge Drinking: An Unsupervised Machine Learning analysis

Impulsive buying in buyer–seller service encounters

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