Dezhong Yao

This study investigates how disgust propensity and sensitivity influence neural responses to disgust stimuli, finding that propensity, not sensitivity, modulates activity in key brain regions.

The paper dissects brain functional synchrony into tract-explainable and tract-underexplained components, revealing their distinct roles in brain organization across species.

This paper introduces a two-stage digital twin brain model constrained by EEG and fMRI data, showing it captures multi-scale brain dynamics in healthy and Alzheimer's disease cohorts.

The paper introduces {xi}-Net, a generative model of cortical activity that estimates EEG components and connectivity across lifespan using rsEEG data.

This study uses fMRI to identify shared and distinct neural systems in mental time travel and affective experiences, showing the DMN's role in both and dissociations in valence and temporal processing.

This study uses real-time fMRI neurofeedback to train individuals to regulate DLPFC-amygdala connectivity during threat exposure, reducing anxiety.

The paper uses neuroimaging data to dissect the neural differences between unfairness and moral emotions like anger and disgust, identifying distinct brain networks involved in each.

The paper models reward and emotional prediction errors in social transgressions using fMRI and finds distinct neural mechanisms for each, with reward PE having a stronger impact on punishment decisions.

The paper develops a neural signature that predicts anxious arousal during uncertain threat anticipation using fMRI and multivariate modeling.

This study shows that a single session of fNIRS-informed neurofeedback training increases left DLPFC activity and alters connectivity during a working memory task without feedback.

The paper develops a neurofunctional signature of disgust using fMRI and machine learning, showing it generalizes across core disgust, gustatory distaste, and socio-moral contexts.

This study characterizes the brain renin angiotensin II system's architecture and function using imaging transcriptomics and fMRI, showing AT1R's role in cognition and behavior through specific circuits and interactions with neurotransmitter systems.

This study investigates how the brain integrates hierarchical linguistic units across auditory, visual, and audio-visual modalities using EEG and TMS, finding that sentence integration involves the left prefrontal cortex.

This paper develops multinational qEEG norms using Hermitian Riemannian methods, showing improved diagnostic accuracy for brain dysfunction and providing harmonization tools.

The paper links cerebellar functional gradients to transdiagnostic behavioral dimensions of psychopathology using partial least squares analysis in 198 participants.

This study uses a large-scale brain model to simulate and analyze the dynamic mechanisms of steady-state visual evoked potentials (SSVEPs) at the whole-brain level, revealing frequency-specific responses and network properties.

This study examines the relationship between white matter structural integrity and functional activation in schizophrenia, finding reversed function-structure coupling in frontotemporal tracts.

This paper introduces a novel method to analyze dynamic configurations of the default mode network (DMN) in rats during wakefulness and sleep, revealing three distinct micropatterns and their association with different alertness levels.

This study shows that schizophrenia is associated with a compressed cortical hierarchy organization, reducing the separation between sensory and cognitive systems.

The paper identifies cortical regions specialized for processing global and local shape levels in visual objects and shows they form distinct functional pathways within the ventral-temporal-cortex.

This study links higher symptom-load of Internet Gaming Disorder according to APA and WHO frameworks with reduced striatal volume in healthy individuals.