Jiaxiang Zhang

Robust sub-network fingerprints of brief signals in the MEGfunctional connectome for single-patient classification

The paper develops MEG functional connectome sub-network fingerprints to classify Parkinson's patients from healthy subjects with high F1 score.

Problem-Solving as a Language: A Computational Lens into Human and Monkey Intelligence

This study introduces a language model framework to analyze problem-solving behavior in humans and monkeys, revealing differences in complexity and evolution of their problem-solving strategies.

Scene-selectivity in CA1/subicular complex: Multivoxel pattern analysis at 7T

The paper uses multivariate pattern analysis on fMRI data to show scene-selective activity in multiple hippocampal regions beyond the anteromedial subicular complex and CA1.

+microstate: A MATLAB toolbox for brain microstate analysis in sensor and cortical EEG/MEG

The paper introduces +microstate, a MATLAB toolbox for brain microstate analysis in EEG/MEG data, and demonstrates its use with example analyses.

Imperfect integration: sensory congruency between multiple sources modulates selective decision-making processes

The paper investigates how decision-making changes with multiple information sources, finding that congruency between sources affects accuracy and decision strategies.

MEG cortical microstates: spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responses

This study generalizes EEG microstate analysis to MEG source data, identifying cortical microstates and their functional connectivity, showing they are modulated by auditory stimuli.

The interaction between neural populations: Additive versus diffusive coupling

This paper compares additive and diffusive coupling in neural network models, showing that coupling choice significantly affects seizure dynamics and ictogenicity measures in both simulated and real brain networks.

A Large-Scale Brain Network Mechanism for Increased Seizure Propensity in Alzheimer's Disease

This study uses EEG and computational modeling to show that AD brains are more prone to seizures due to altered large-scale network structure and increased cortical excitability.

Functional localization and categorization of intentional decisions in humans: a meta-analysis of brain imaging studies

This study identifies brain regions consistently activated during intentional decisions and categorizes decision types using meta-analyses of fMRI/PET studies.

Cortical source imaging of resting-state MEG with a high resolution atlas: An evaluation of methods

This study evaluates six source reconstruction algorithms for resting-state MEG, finding that eLORETA provides zero localization error, high spatial resolution, and superior sensor-level activity prediction.

Individual variability in the human connectome maintains selective cross-modal consistency and shares microstructural signatures

The paper shows that individual variability in brain connectivity is consistent across modalities and linked to microstructural properties.

On the evolution of neural decisions from uncertain visual input to uncertain actions

This study investigates the neural mechanisms of visuomotor decisions by combining accumulation-to-threshold models with EEG, revealing simultaneous forward and backward information flow between sensory and motor regions.

The role of the fornix in human navigational learning

This study finds that fornix microstructure correlates with spatial learning in a virtual Morris Water Maze task in humans.

Reward certainty and preference bias selectively shape voluntary decisions

This study investigates how reward certainty and preference influence decision-making when options are equally valued, showing they affect response times and neural activity.

Frontoparietal network dynamics impairments in juvenile myoclonic epilepsy revealed by MEG energy landscape

This study uses MEG energy landscape analysis to show JME patients have altered network dynamics in the frontoparietal network, with fewer local energy minima and reduced time in characteristic energy basins.

The validity and consistency of continuous joystick response in perceptual decision-making.

This study compares perceptual decision-making using joystick movements and key presses, finding no significant difference in accuracy or reaction time, and no effect on decision processes.

Cognitive and white-matter compartment models revealed the contribution of microstructural variability along sensorimotor tracts to simple reaction time

The paper links microstructural variability in white matter tracts to reaction time variability using cognitive and diffusion MRI models.

Sensory attenuation is related to dopamine dose in Parkinson’s disease

This study investigates how dopamine levels in Parkinson’s disease patients affect sensory attenuation during voluntary movements, finding a negative correlation with motor severity and a positive correlation with dopamine dose.