Quanying Liu

Human Cerebral Cortex Organization Characterized by Functional PET-FDG "Metabolic Connectivity"

This study characterizes human cerebral cortex metabolic connectivity using PET-FDG data, finding a superior-inferior gradient driven by low-frequency signals.

Representation, Alignment, and Generation: A Comprehensive Survey of Foundation Models for Non-Invasive Brain Decoding

This paper surveys foundation models for non-invasive brain decoding, reviewing their applications and challenges in visual, language, and auditory domains.

Theta-Band Temporal Interference Stimulation Targeting the dACC Modulates Neural Gain of Prediction Error Encoding

This study uses theta-band tTIS to target the dACC and shows it modulates neural gain of prediction error encoding during reward processing.

Behavioral hierarchy without a hierarchical brain

This paper shows that hierarchical mouse behavior can emerge from localized cortical dynamics without requiring a hierarchically organized brain.

An intracranial dissection of human escape circuits

This study uses iEEG to identify distinct brain circuits involved in human escape responses, showing the reactive fear circuit dominates during rapid attacks while the cognitive fear circuit processes threat information.

The Neural Correlates of Novelty and Variability in Human Decision-Making under an Active Inference Framework

This study shows active inference better explains human decision-making under novelty and variability, with specific neural correlates identified using EEG.

Hijacking a dedicated entorhinal-hippocampal extinction circuit to remove traumatic memory

This study identifies a specific LEC-vCA1 pathway that uses low gamma-band oscillations to facilitate fear extinction and shows its therapeutic potential through DBS and tACS in a PTSD mouse model.

ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding

The paper introduces the ChineseEEG dataset, a high-density EEG dataset with Chinese linguistic stimuli, for semantic alignment and neural decoding research.

Anti-drift pose tracker (ADPT): A transformer-based network for robust animal pose estimation cross-species

ADPT is a transformer-based pose tracker that reduces tracking drift in animal behavior analysis, achieving high accuracy across species and conditions.

Resting-state functional connectivity of social brain regions predicts motivated dishonesty

This study uses resting-state fMRI to identify neural patterns predicting motivated dishonesty through functional connectivity analysis.

Inter-trial variations in EEG predict the individual differences in social tasks

The paper shows that inter-trial EEG variations predict individual differences in social conformity and trust during social influence tasks.

Oxytocin effects on the resting-state mentalizing brain network

This study investigates how oxytocin affects resting-state functional connectivity in brain networks related to mentalizing, finding changes in connectivity patterns and modulation by empathy traits.

A different state of mind: neural activity related to volitionally up- versus downregulating cortical excitability

This paper demonstrates a method to volitionally up- and downregulate cortical excitability using neurofeedback, showing changes in brain state and oscillations.

Heart-brain interactions in the MR environment: characterization of the ballistocardiogram in EEG signals collected during simultaneous fMRI

This study characterizes the ballistocardiogram (BCG) artifact in EEG signals during simultaneous fMRI, identifying its temporal and spatial dynamics and proposing insights for improved artifact removal.

Detecting large-scale networks in the human brain using high-density electroencephalography

This paper introduces a method to detect brain networks from hdEEG data, showing results comparable to fMRI by using realistic head models and source localization.

Concurrent tACS-fMRI Reveals Causal Influence Of Power Synchronized Neural Activity On Resting State fMRI Connectivity

This study uses tACS-fMRI to show that power-synchronized neural activity increases resting state fMRI connectivity, providing causal evidence for the role of power fluctuations in forming RSNs.