User profiles for Rayus Kuplicki

Rayus Kuplicki

Data Analytics Lead, Laureate Institute for Brain Research
Verified email at laureateinstitute.org
Cited by 3765

[HTML][HTML] Interoception and mental health: a roadmap

…, T Kraynak, M Kriegsman, J Kroll, R Kuplicki… - Biological psychiatry …, 2018 - Elsevier
Interoception refers to the process by which the nervous system senses, interprets, and
integrates signals originating from within the body, providing a moment-by-moment mapping of …

Recovery of cerebral blood flow following sports-related concussion

TB Meier, PSF Bellgowan, R Singh, R Kuplicki… - JAMA …, 2015 - jamanetwork.com
Importance Animal models suggest that reduced cerebral blood flow (CBF) is one of the
most enduring physiological deficits following concussion. Despite this, longitudinal studies …

Closing the loop between brain and electrical stimulation: towards precision neuromodulation treatments

…, IR Violante, R Lorenz, R Kuplicki… - Translational …, 2023 - nature.com
One of the most critical challenges in using noninvasive brain stimulation (NIBS) techniques
for the treatment of psychiatric and neurologic disorders is inter- and intra-individual …

[HTML][HTML] A nonlinear simulation framework supports adjusting for age when analyzing BrainAGE

TT Le, RT Kuplicki, BA McKinney, HW Yeh… - Frontiers in aging …, 2018 - frontiersin.org
Several imaging modalities, including T1-weighted structural imaging, diffusion tensor
imaging, and functional MRI can show chronological age related changes. Employing machine …

A methodological checklist for fMRI drug cue reactivity studies: development and expert consensus

…, F Kiefer, AK Zonoozi, H Kober, R Kuplicki… - Nature protocols, 2022 - nature.com
Cue reactivity is one of the most frequently used paradigms in functional magnetic resonance
imaging (fMRI) studies of substance use disorders (SUDs). Although there have been …

Screen media activity and brain structure in youth: Evidence for diverse structural correlation networks from the ABCD study

…, LM Squeglia, K Bagot, J Jacobus, R Kuplicki… - Neuroimage, 2019 - Elsevier
The adolescent brain undergoes profound structural changes which is influenced by many
factors. Screen media activity (SMA; eg, watching television or videos, playing video games, …

Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

…, J Houenou, FM Howells, M Ingvar, R Kuplicki… - Molecular …, 2021 - nature.com
Major depressive disorder (MDD) is associated with an increased risk of brain atrophy,
aging-related diseases, and mortality. We examined potential advanced brain aging in adult …

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… - PLoS computational …, 2020 - journals.plos.org
Recent neurocomputational theories have hypothesized that abnormalities in prior beliefs
and/or the precision-weighting of afferent interoceptive signals may facilitate the …

Relationship of collegiate football experience and concussion with hippocampal volume and cognitive outcomes

R Singh, TB Meier, R Kuplicki, J Savitz, I Mukai… - Jama, 2014 - jamanetwork.com
Importance Concussion and subconcussive impacts have been associated with short-term
disrupted cognitive performance in collegiate athletes, but there are limited data on their long-…

[HTML][HTML] Predicting age from brain EEG signals—A machine learning approach

O Al Zoubi, C Ki Wong, RT Kuplicki, H Yeh… - Frontiers in aging …, 2018 - frontiersin.org
Objective: The brain age gap estimate (BrainAGE) is the difference between the estimated
age and the individual chronological age. BrainAGE was studied primarily using MRI …