Rayus Kuplicki
Rayus Kuplicki
Verified email at laureateinstitute.org
Cited by
Cited by
Interoception and mental health: a roadmap
SS Khalsa, R Adolphs, OG Cameron, HD Critchley, PW Davenport, ...
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 3 (6), 501-513, 2018
Recovery of cerebral blood flow following sports-related concussion
TB Meier, PSF Bellgowan, R Singh, R Kuplicki, DW Polanski, AR Mayer
JAMA neurology 72 (5), 530-538, 2015
Relationship of collegiate football experience and concussion with hippocampal volume and cognitive outcomes
R Singh, TB Meier, R Kuplicki, J Savitz, I Mukai, LM Cavanagh, T Allen, ...
Jama 311 (18), 1883-1888, 2014
A nonlinear simulation framework supports adjusting for age when analyzing BrainAGE
TT Le, RT Kuplicki, BA McKinney, HW Yeh, WK Thompson, MP Paulus, ...
Frontiers in aging neuroscience 10, 317, 2018
Screen media activity and brain structure in youth: evidence for diverse structural correlation networks from the ABCD study
MP Paulus, LM Squeglia, K Bagot, J Jacobus, R Kuplicki, FJ Breslin, ...
Neuroimage 185, 140-153, 2019
Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group
LKM Han, R Dinga, T Hahn, CRK Ching, LT Eyler, L Aftanas, M Aghajani, ...
Molecular psychiatry, 1-16, 2020
Predicting age from brain EEG signals—A machine learning approach
O Al Zoubi, C Ki Wong, RT Kuplicki, H Yeh, A Mayeli, H Refai, M Paulus, ...
Frontiers in aging neuroscience 10, 184, 2018
EEG microstates temporal dynamics differentiate individuals with mood and anxiety disorders from healthy subjects
O Al Zoubi, A Mayeli, A Tsuchiyagaito, M Misaki, V Zotev, H Refai, ...
Frontiers in human neuroscience 13, 56, 2019
Comparison of two different analysis approaches for DTI free‐water corrected and uncorrected maps in the study of white matter microstructural integrity in individuals with …
M Bergamino, R Kuplicki, TA Victor, YH Cha, MP Paulus
Human brain mapping 38 (9), 4690-4702, 2017
Diminished responses to bodily threat and blunted interoception in suicide attempters
DC DeVille, R Kuplicki, JL Stewart, MP Paulus, SS Khalsa, ...
Elife 9, e51593, 2020
Effect of ibuprofen on BrainAGE: a randomized, placebo-controlled, dose-response exploratory study
TT Le, R Kuplicki, HW Yeh, RL Aupperle, SS Khalsa, WK Simmons, ...
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 3 (10), 836-843, 2018
Interoceptive attention in opioid and stimulant use disorder
JL Stewart, SS Khalsa, R Kuplicki, M Puhl, T1000 Investigators, ...
Addiction biology 25 (6), e12831, 2020
Latent variable analysis of negative affect and its contributions to neural responses during shock anticipation
N Kirlic, RL Aupperle, JL Rhudy, M Misaki, R Kuplicki, A Sutton, ...
Neuropsychopharmacology 44 (4), 695-702, 2019
Web-Based graphic representation of the life course of mental health: cross-sectional study across the spectrum of mood, anxiety, eating, and Substance use disorders
RL Aupperle, MP Paulus, R Kuplicki, J Touthang, T Victor, HW Yeh, ...
JMIR mental health 7 (1), e16919, 2020
Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI
H Ekhtiari, R Kuplicki, H Yeh, MP Paulus
Scientific reports 9 (1), 1-8, 2019
Machine learning analysis of the relationships between gray matter volume and childhood trauma in a transdiagnostic community-based sample
AN Clausen, RL Aupperle, HW Yeh, D Waller, J Payne, R Kuplicki, ...
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 4 (8), 734-742, 2019
Greater decision uncertainty characterizes a transdiagnostic patient sample during approach-avoidance conflict: a computational modelling approach
R Smith, N Kirlic, JL Stewart, J Touthang, R Kuplicki, SS Khalsa, ...
Journal of Psychiatry & Neuroscience: JPN 46 (1), E74, 2021
Imprecise action selection in substance use disorder: Evidence for active learning impairments when solving the explore-exploit dilemma
R Smith, P Schwartenbeck, JL Stewart, R Kuplicki, H Ekhtiari, MP Paulus, ...
Drug and Alcohol Dependence 215, 108208, 2020
A Bayesian computational model reveals a failure to adapt interoceptive precision estimates across depression, anxiety, eating, and substance use disorders
R Smith, R Kuplicki, J Feinstein, KL Forthman, JL Stewart, MP Paulus, ...
PLOS Computational Biology 16 (12), e1008484, 2020
Methamphetamine and Opioid Cue Database (MOCD): development and validation
H Ekhtiari, R Kuplicki, A Pruthi, M Paulus
Drug and alcohol dependence 209, 107941, 2020
The system can't perform the operation now. Try again later.
Articles 1–20