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Current Addiction Reports

Erschienen in:

01.12.2019 | Adolescent / Young Adult Addiction (M Heitzeg, Section Editor)

Methodological Advances in Leveraging Neuroimaging Datasets in Adolescent Substance Use Research

verfasst von: Adriene M. Beltz, Alexander Weigard

Erschienen in: Current Addiction Reports | Ausgabe 4/2019

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Abstract

Purpose of Review

Recent innovations in the statistical analysis of neuroimaging data related to adolescent substance use are highlighted. Going beyond assumptions of homogeneity in small studies of regional localization, the focus is on novel approaches that integrate across regions of the brain and levels of analysis in order to detect individual differences in use along with antecedents and consequences.

Recent Findings

Three analysis approaches are considered. Multimodal approaches like the construct-network framework combine neural, behavioral (including cognitive), and self-report indicators to create comprehensive representations of risk factors for adolescent substance use. Machine learning approaches link adolescent substance use to complex patterns of brain activity detected using prediction-focused algorithms. Person-specific approaches reflect heterogeneity in functional brain connectivity associated with adolescent substance use.

Summary

When applied to specialized datasets, multimodal, machine learning, and person-specific approaches have significant potential to provide unique insights into the neural processes underlying adolescent substance use.

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Titel: Methodological Advances in Leveraging Neuroimaging Datasets in Adolescent Substance Use Research
verfasst von: Adriene M. Beltz
Alexander Weigard
Publikationsdatum: 01.12.2019
Verlag: Springer International Publishing
Erschienen in: Current Addiction Reports / Ausgabe 4/2019
Elektronische ISSN: 2196-2952
DOI: https://doi.org/10.1007/s40429-019-00275-x

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Methodological Advances in Leveraging Neuroimaging Datasets in Adolescent Substance Use Research

Abstract

Purpose of Review

Recent Findings

Summary

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