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Towards a brain‐based predictome of mental illness
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …
recent years and have deepened our understanding of both cognitively healthy and …
In search of a human self-regulation system
The capacity for self-regulation allows people to control their thoughts, behaviors, emotions,
and desires. In spite of this impressive ability, failures of self-regulation are common and …
and desires. In spite of this impressive ability, failures of self-regulation are common and …
Neural predictors of initiating alcohol use during adolescence
Objective: Underage drinking is widely recognized as a leading public health and social
problem for adolescents in the United States. Being able to identify at-risk adolescents …
problem for adolescents in the United States. Being able to identify at-risk adolescents …
Resting‐state functional connectivity and nicotine addiction: prospects for biomarker development
Given conceptual frameworks of addiction as a disease of intercommunicating brain
networks, examinations of network interactions may provide a holistic characterization of …
networks, examinations of network interactions may provide a holistic characterization of …
Prediction of brain maturity in infants using machine-learning algorithms
Recent resting-state functional MRI investigations have demonstrated that much of the large-
scale functional network architecture supporting motor, sensory and cognitive functions in …
scale functional network architecture supporting motor, sensory and cognitive functions in …
Anterior cingulate cortex in addiction: new insights for neuromodulation
Objectives Substance use disorder (SUD) is characterized by compulsive use of addictive
substances with considerable impact on both the medical system and society as a whole …
substances with considerable impact on both the medical system and society as a whole …
Alterations of resting state functional network connectivity in the brain of nicotine and alcohol users
Alcohol and nicotine intake result in neurological alterations at the circuit level. Resting state
functional connectivity has shown great potential in identifying these alterations. However …
functional connectivity has shown great potential in identifying these alterations. However …
Machine learning with neuroimaging biomarkers: Application in the diagnosis and prediction of drug addiction
L Yang, Y Du, W Yang, J Liu - Addiction Biology, 2023 - Wiley Online Library
Drug abuse is a serious problem worldwide. Owing to intermittent intake of certain
substances and the early inconspicuous clinical symptoms, this brings huge challenges for …
substances and the early inconspicuous clinical symptoms, this brings huge challenges for …
Machine-learning approaches to substance-abuse research: emerging trends and their implications
The application of machine-learning models to substance use disorder data shows
significant promise, with some use cases and data types showing high predictive accuracy …
significant promise, with some use cases and data types showing high predictive accuracy …
When your brain looks older than expected: combined lifestyle risk and BrainAGE
Lifestyle may be one source of unexplained variance in the great interindividual variability of
the brain in age-related structural differences. While physical and social activity may protect …
the brain in age-related structural differences. While physical and social activity may protect …