Towards a brain‐based predictome of mental illness

B Rashid, V Calhoun - Human brain map**, 2020 - Wiley Online Library
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

In search of a human self-regulation system

WM Kelley, DD Wagner… - Annual review of …, 2015 - annualreviews.org
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 …

Neural predictors of initiating alcohol use during adolescence

LM Squeglia, TM Ball, J Jacobus… - American journal of …, 2017 - psychiatryonline.org
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 …

Resting‐state functional connectivity and nicotine addiction: prospects for biomarker development

JR Fedota, EA Stein - Annals of the new York Academy of …, 2015 - Wiley Online Library
Given conceptual frameworks of addiction as a disease of intercommunicating brain
networks, examinations of network interactions may provide a holistic characterization of …

Prediction of brain maturity in infants using machine-learning algorithms

CD Smyser, NUF Dosenbach, TA Smyser, AZ Snyder… - NeuroImage, 2016 - Elsevier
Recent resting-state functional MRI investigations have demonstrated that much of the large-
scale functional network architecture supporting motor, sensory and cognitive functions in …

Anterior cingulate cortex in addiction: new insights for neuromodulation

Y Zhao, SN Sallie, H Cui, N Zeng, J Du, T Yuan… - … : Technology at the …, 2021 - Elsevier
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 …

Alterations of resting state functional network connectivity in the brain of nicotine and alcohol users

VM Vergara, J Liu, ED Claus, K Hutchison, V Calhoun - Neuroimage, 2017 - Elsevier
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 …

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 …

Machine-learning approaches to substance-abuse research: emerging trends and their implications

E Barenholtz, ND Fitzgerald… - Current opinion in …, 2020 - journals.lww.com
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 …

When your brain looks older than expected: combined lifestyle risk and BrainAGE

N Bittner, C Jockwitz, K Franke, C Gaser… - Brain Structure and …, 2021 - Springer
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 …