AIMC Topic: Behavior, Addictive

Clear Filters Showing 21 to 23 of 23 articles

Accelerated Aging of the Amygdala in Alcohol Use Disorders: Relevance to the Dark Side of Addiction.

Cerebral cortex (New York, N.Y. : 1991) Jun 10, 2021
Here we assessed changes in subcortical volumes in alcohol use disorder (AUD). A simple morphometry-based classifier (MC) was developed to identify subcortical volumes that distinguished 32 healthy controls (HCs) from 33 AUD patients, who were scanne...
Humans Machine Learning Female Adult Male Aging Middle Aged Magnetic Resonance Imaging Alcoholism Neuropsychological Tests Behavior, Addictive Amygdala
View on PubMed DOI

The Effectiveness of the Game of Dice Task in Predicting At-Risk and Problem Gambling Among Adolescents: The Contribution of the Neural Networks.

Journal of gambling studies Mar 1, 2019
The Game of Dice Task (GDT; Brand et al. in Neuropsychology 19:267-277, 2005a; Psychiatry Res 133:91-99, 2005b) measures decision-making under objective risk conditions. Although disadvantageous decision-making has been shown in individuals with subs...
Humans Neural Networks, Computer Female Young Adult Male Adolescent Adolescent Behavior Decision Making Neuropsychological Tests Choice Behavior Behavior, Addictive Risk-Taking Gambling
View on PubMed DOI

Development of New Diagnostic Techniques - Machine Learning.

Advances in experimental medicine and biology Jan 1, 2017
Traditional diagnoses on addiction reply on the patients' self-reports, which are easy to be dampened by false memory or malingering. Machine learning (ML) is a data-driven procedure that learns algorithms from training data and makes predictions. It...
Humans Machine Learning Algorithms Biomarkers Brain Diagnosis, Computer-Assisted Predictive Value of Tests Substance-Related Disorders Behavior, Addictive Drug Users
View on PubMed DOI
Popular Topics
Recent Journals