Hamed Ekhtiari

Machine Learning-Driven fMRI Analysis for Objective Craving Prediction

This paper uses machine learning on fMRI data to predict craving intensity in methamphetamine users, achieving significant results with PCA and linear regression.

It is Never as Good the Second Time Around: Brain Areas Involved in Salience Processing Habituate During Repeated Drug Cue Exposure in Methamphetamine and Opioid Users

The paper investigates habituation of brain regions in response to drug cues in addiction patients, finding consistent habituation in VMPFC, amygdala, and ventral striatum across populations.

fMRI Informed Montage Selection for Transcranial Electrical Stimulation: Frontoparietal Synchronization for Drug Cue Reactivity

This paper develops a method to select electrode montages for transcranial electrical stimulation using fMRI and computational head models, showing improved connectivity and craving reduction in a specific montage.

Online Closed-Loop Real-Time tES-fMRI for Brain Modulation: Feasibility, Noise/Safety and Pilot Study

This paper describes a closed-loop tES-fMRI protocol for brain modulation, demonstrating feasibility, safety, and the ability to distinguish physiological changes from artifacts.

LIBR Methamphetamine and Opioid Cue Database (LIBR MOCD): Development and Validation

The paper develops and validates a database of pictorial cues for methamphetamine and opioids, showing drug images elicit higher arousal and lower valence than neutral images.

How Top-Down and Bottom-Up Regulation in Fronto-Amygdalar Network Changes over Time during Drug Cue-Exposure: An fMRI Study among Abstinent Heroin User

This study uses fMRI and Dynamic Causal Modelling to examine how top-down regulation in the fronto-amygdalar network changes over time during drug cue-exposure in abstinent heroin users, finding increased amygdala input and decreased DLPFC modulation.

fMRI Correlates of Reaction Time Prolongation during intentional False Responding; an inter-individual difference study

The paper investigates how brain activity correlates with reaction time prolongation during intentional false responding, identifying regions associated with RT cost and baseline speed.