Weipeng Kuang

发表

Random Forest Classification of Alcohol Use Disorder Using EEG Source Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures

B. Ardekani, B. Porjesz, D. Chorlian, 2020, Behavioral sciences.

Statistical Nonparametric fMRI Maps in the Analysis of Response Inhibition in Abstinent Individuals with History of Alcohol Use Disorder

B. Ardekani, B. Porjesz, D. Chorlian, 2022, Behavioral sciences.

Differentiating Individuals with and without Alcohol Use Disorder Using Resting-State fMRI Functional Connectivity of Reward Network, Neuropsychological Performance, and Impulsivity Measures

B. Ardekani, B. Porjesz, D. Chorlian, 2022, Behavioral sciences.

Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features

Sarah M. Hartz, A. Merikangas, L. Bierut, 2023, bioRxiv.

Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach

J. Nurnberger, K. Bucholz, M. Schuckit, 2021, Translational Psychiatry.

Evaluating risk for alcohol use disorder: Polygenic risk scores and family history.

V. Hesselbrock, Yunlong Liu, B. Porjesz, 2022, Alcoholism, clinical and experimental research.

Associations of parent-adolescent closeness with P3 amplitude, frontal theta, and binge drinking among offspring with high risk for alcohol use disorder.

K. Bucholz, V. Hesselbrock, B. Porjesz, 2023, Alcoholism, clinical and experimental research.

Polygenic Risk for Alcohol Use Disorder Affects Cellular Responses to Ethanol Exposure in a Human Microglial Cell Model

H. Edenberg, C. Kamarajan, J. Meyers, 2024, bioRxiv.

Prediction of brain age in individuals with and at risk for alcohol use disorder using brain morphological features

B. Ardekani, B. Porjesz, D. Chorlian, 2024, bioRxiv.