Revisiting the role of computational neuroimaging in the era of integrative neuroscience

AM Loosen, A Kato, X Gu - Neuropsychopharmacology, 2024 - nature.com
Computational models have become integral to human neuroimaging research, providing
both mechanistic insights and predictive tools for human cognition and behavior. However …

Abnormal developmental of structural covariance networks in young adults with heavy cannabis use: a 3-year follow-up study

H Xu, J Li, H Huang, B Yin, DD Li - Translational Psychiatry, 2024 - nature.com
Heavy cannabis use (HCU) exerts adverse effects on the brain. Structural covariance
networks (SCNs) that illustrate coordinated regional maturation patterns are extensively …

Neuromarkers in addiction: definitions, development strategies, and recent advances

NR Harp, TD Wager, H Kober - Journal of Neural Transmission, 2024 - Springer
Substance use disorders (SUDs) are the most costly and prevalent psychiatric conditions.
Recent calls emphasize a need for biomarkers—measurable, stable indicators of normal …

Distinct neural networks predict cocaine versus cannabis treatment outcomes

SD Lichenstein, R Kohler, F Ye, MN Potenza… - Molecular …, 2023 - nature.com
Abstract Treatment outcomes for individuals with substance use disorders (SUDs) are
variable and more individualized approaches may be needed. Cross-validated, machine …

Decoding craving: insights from a brain-based connectome predictive model of subjective reports

AB Konova, EM Schweitzer - American Journal of Psychiatry, 2023 - Am Psychiatric Assoc
Craving is a subjective experience characterized by intense desire or longing for something.
Most people report having experienced a craving of some kind, be it for drugs or alcohol …

[PDF][PDF] Deriving generalizable and interpretable brain-behavior phenotypes of cannabis use

AB Konova, A Zilverstand - Biological psychiatry: cognitive neuroscience …, 2023 - Elsevier
With recent changes in drug legislation in the United States, more people than ever are
initiating cannabis use. Although the potential health benefits of cannabis are beginning to …

Spatial Craving Patterns in Marijuana Users: Insights from fMRI Brain Connectivity Analysis with High-Order Graph Attention Neural Networks

JE Ding, S Yang, A Zilverstand… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The excessive consumption of marijuana can induce substantial psychological and social
consequences. In this investigation, we propose an elucidative framework termed high-order …

Remembering Paul E. Meehl: Historical Contributions to Predictive Modeling in Human Behavior

J Ryu - Harvard Review of Psychiatry, 2023 - journals.lww.com
This article briefly examines the life and work of the late clinical psychologist and
philosopher of science Paul E. Meehl. His thesis in Clinical versus Statistical Prediction …

Prediction of cannabis addictive patients with graph neural networks

S Wen, S Yang, X Ju, T Liao, F Liu - International Conference on Brain …, 2023 - Springer
Neurological research is closely intertwined with public health issues, and artificial
intelligence (AI) holds substantial potential in this domain. This study aims to investigate the …

The effects of prefrontal vs. parietal cortex transcranial direct current stimulation on craving, inhibition, and measures of self-esteem

M Ljubisavljevic, J Basha, FY Ismail - Frontiers in Neuroscience, 2022 - frontiersin.org
While prefrontal cortex dysfunction has been implicated in high food cravings, other cortical
regions, like the parietal cortex, are potentially also involved in regulating craving. This study …