Mixed-effects multilevel analysis followed by canonical correlation analysis is an effective fMRI tool for the investigation of idiosyncrasies

Mixed-effects multilevel analysis followed by canonical correlation analysis is an effective fMRI tool for the investigation of idiosyncrasies

We report that regions-of-interest (ROIs) associated with idiosyncratic individual behavior can be identified from functional magnetic resonance imaging (fMRI) data using statistical approaches that explicitly model individual variability in neuronal activations, such as mixed-effects multilevel ana...

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Bibliographic Details
Main Authors: Chen, G. (Author), Jo, S. (Author), Kim, H.-C (Author), Lee, J.-H (Author), Lustig, N. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
adult
Adult
Article
behavior
brain cortex
brain function
canonical correlation analysis
Cerebral Cortex
chi square test
confidence interval
controlled study
correlation analysis
craving
Craving
diagnostic imaging
electronic cigarette
Electronic Nicotine Delivery Systems
evaluation study
female
Female
functional magnetic resonance imaging
functional MRI
functional neuroimaging
Functional Neuroimaging
gambling
human
Human Connectome Project
human experiment
Humans
insula
machine learning
Machine Learning
Magnetic Resonance Imaging
male
Male
mixed effects multilevel analysis
mixed-effects multilevel analysis
multilevel analysis
Multilevel Analysis
nerve cell
nerve potential
nicotine
nicotine craving
nuclear magnetic resonance imaging
orbital cortex
pathophysiology
physiology
smoking
statistical analysis
Student t test
tobacco dependence
Tobacco Use Disorder
validity
vaping
working memory
young adult
Young Adult
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