Data leakage inflates prediction performance in connectome-based machine learning models
Predictive modeling is a central technique in neuroimaging to identify brain-behavior
relationships and test their generalizability to unseen data. However, data leakage …
relationships and test their generalizability to unseen data. However, data leakage …
[HTML][HTML] Machine learning and artificial intelligence in neuroscience: A primer for researchers
F Badrulhisham, E Pogatzki-Zahn, D Segelcke… - Brain, Behavior, and …, 2024 - Elsevier
Artificial intelligence (AI) is often used to describe the automation of complex tasks that we
would attribute intelligence to. Machine learning (ML) is commonly understood as a set of …
would attribute intelligence to. Machine learning (ML) is commonly understood as a set of …
The neurocircuitry of substance use disorder, treatment, and change: a resource for clinical psychiatrists
CG Imperio, FR Levin, D Martinez - American Journal of …, 2024 - psychiatryonline.org
Substance use disorder (SUD) is common in psychiatric patients and has a negative impact
on health and well-being. However, SUD often goes untreated, and there is a need for …
on health and well-being. However, SUD often goes untreated, and there is a need for …
Multimodal smoking cessation treatment combining repetitive transcranial magnetic stimulation, cognitive behavioral therapy, and nicotine replacement in veterans …
Tobacco-related deaths remain the leading cause of preventable death in the United States.
Veterans suffering from posttraumatic stress disorder (PTSD)—about 11% of those receiving …
Veterans suffering from posttraumatic stress disorder (PTSD)—about 11% of those receiving …
[HTML][HTML] Brain-phenotype predictions of language and executive function can survive across diverse real-world data: Dataset shifts in developmental populations
Predictive modeling potentially increases the reproducibility and generalizability of
neuroimaging brain-phenotype associations. Yet, the evaluation of a model in another …
neuroimaging brain-phenotype associations. Yet, the evaluation of a model in another …
Neuromarkers in addiction: definitions, development strategies, and recent advances
Substance use disorders (SUDs) are the most costly and prevalent psychiatric conditions.
Recent calls emphasize a need for biomarkers—measurable, stable indicators of normal …
Recent calls emphasize a need for biomarkers—measurable, stable indicators of normal …
Multimodal frontal neuroimaging markers predict longitudinal craving reduction in abstinent individuals with heroin use disorder
X Wen, W Yang, Z Du, J Zhao, Y Li, D Yu… - Journal of Psychiatric …, 2024 - Elsevier
The variation in improvement among individuals with addiction after abstinence is a critical
issue. Here, we aimed to identify robust multimodal markers associated with high response …
issue. Here, we aimed to identify robust multimodal markers associated with high response …
Network state dynamics underpin basal craving in a transdiagnostic population
Emerging fMRI methods quantifying brain dynamics present an opportunity to capture how
fluctuations in brain responses give rise to individual variations in affective and motivation …
fluctuations in brain responses give rise to individual variations in affective and motivation …
Efficacy and Neural Mechanisms of Mindfulness Meditation Among Adults With Internet Gaming Disorder: A Randomized Clinical Trial
H Ni, H Wang, X Ma, S Li, C Liu, X Song… - JAMA Network …, 2024 - jamanetwork.com
Importance TheDiagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text
Revision (DSM-5-TR), recently identified internet gaming disorder (IGD) as a condition …
Revision (DSM-5-TR), recently identified internet gaming disorder (IGD) as a condition …
Connectome-based prediction modeling of cognitive control using functional and structural connectivity
Background Cognitive control involves flexibly configuring mental resources and adjusting
behavior to achieve goal-directed actions. It is associated with the coordinated activity of …
behavior to achieve goal-directed actions. It is associated with the coordinated activity of …