Xiaole Z. Zhong

Intranasal photobiomodulation as an energy-efficient, largely parameter-insensitive alternative to transcranial photobiomodulation

This study compares intranasal and transcranial photobiomodulation, finding that intranasal delivers similar EEG effects with less energy and is insensitive to parameters and individual differences.

Dose dependence and neurovascular mechanisms of the fMRI response to pulsed photobiomodulation in humans

This study investigates the dose-dependent fMRI response to transcranial photobiomodulation in humans, showing non-local effects and parameter-dependent responses.

Orientation Dependence of R2' in White Matter: Digital Characterization, Modelling and Implications for Studying Brain Physiology

This study characterizes the orientation dependence of R2' in white matter, develops a new Myelin-Blood model, and shows it improves R2' fitting compared to existing models.

Reduced Blood Flow in Deep White Matter During Hypercapnia Revealed by Multi-Delay pCASL in Healthy Young Adults

This study uses multi-delay pCASL to show that deep white matter has little to no increase in blood flow during hypercapnia, unlike other brain regions.

Characterization and Validation of Compressed Sensing for Time-of-Flight MRI Angiography of the Human Brain at 3T and 7T

This study evaluates compressed sensing in TOF-MRA at 3T and 7T, finding significant differences in CNR and vessel diameter measurements across CS factors.

Intranasal photobiomodulation: an energy efficient paradigm for cortical and subcortical stimulation

This study shows intranasal photobiomodulation (iPBM) is more efficient than forehead PBM in eliciting BOLD fMRI responses and reveals sex differences in its effects.

Modulation of neurofluid fluctuation frequency by baseline carbon dioxide in awake humans: the role of the autonomic nervous system

This study investigates how baseline CO2 levels modulate neurofluid dynamics in awake humans, showing that autonomic nervous system regulation affects flow through frequency changes rather than amplitude.

The link between steady-state EEG and rs-fMRI metrics in healthy young adults: the effect of macrovascular correction

This study shows macrovascular correction improves the relationship between EEG and rs-fMRI metrics, and sex modulates EEG-fMRI associations, with EEG complexity linked to resting-state functional activity.

Real-time spatial evolution of the fMRI response to photobiomodulation in the healthy human brain

This study uses BOLD-fMRI to map real-time spatial and temporal changes in brain activity induced by transcranial photobiomodulation in healthy humans.

Linking Electrophysiological Metrics to Oxidative Metabolism: Implications for EEG-fMRI Association

This study links electrophysiological metrics to oxidative metabolism and shows sex differences in their associations with rs-fMRI metrics.

Pulsed transcranial photobiomodulation evokes sustained, parameter-dependent changes in EEG oscillations that run opposite to frequency entrainment

This study investigates how pulsed transcranial photobiomodulation (tPBM) parameters affect EEG oscillations, finding parameter-dependent changes that contradict entrainment predictions and highlighting sex as a key biological modulator.

Modulating cerebrospinal fluid dynamics using pulsed photobiomodulation: feasibility, parameter and skin-colour dependence

This study shows that pulsed photobiomodulation can increase cerebrospinal fluid flow in healthy adults, with effects influenced by skin color and irradiance-wavelength interactions.

The Link to Oxidative Metabolism Varies across rs-fMRI Metrics: A Whole-Brain Assessment Using Macrovascular Correction

This study links rs-fMRI metrics to oxidative metabolism (CMRO2) and shows macrovascular correction improves model fit and interpretability.

Predicting the macrovascular contribution to resting-state fMRI functional connectivity at 3 Tesla: A model-informed approach

This paper demonstrates the feasibility of predicting resting-state fMRI functional connectivity and BOLD fluctuation amplitudes using biophysical models of macrovascular anatomy at 3 Tesla.

Generating dynamic carbon-dioxide from the respiratory-volume time series: A feasibility study using neural networks

This study uses neural networks to reconstruct CO2 and PETCO2 data from respiration waveforms in resting-state fMRI, achieving high correlation with ground truth data.