J. Jean Chen

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.

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

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.

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.

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

This study shows that cerebrovascular reactivity (CVR) amplitude and lag co-vary within resting-state networks and tissue layers in healthy older adults and those with hypertension.

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

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.

This paper compares eight BOLD fMRI simulation approaches, finding that most are accurate but some are biased, with intravascular signal differences affecting results.

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.

This paper examines the association between white-matter lesion volume and heart-rate variability using different MRI segmentation methods in a healthy adult cohort.

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

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

This study examines the relationship between perfusion and white matter microstructure in aging, finding that arterial transit time declines before microstructural changes and varies by tract and sex.

This study uses Monte Carlo simulations to investigate how wavelength, power density, and skin colour affect light penetration and energy accumulation in transcranial and intranasal photobiomodulation of the human brain.

The paper investigates whether white matter aging follows developmental order (retrogenesis) or physiological factors like fibre size and perfusion, finding mixed support for both theories.

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.

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

This study examines how physical activity intensity and dose affect cerebrovascular reactivity and pulsatility differently in men and women, finding sex-specific patterns influenced by menopause.

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

This paper introduces BOLDswimsuite, an open-source Python toolbox for forward modeling of the BOLD fMRI signal, providing modular components and flexibility for simulations.

This study compares physiological denoising methods for resting-state fMRI, finding that ICA-AROMA and GSR remove more noise but also age-related functional connectivity differences, while aCompCor and tCompCor better preserve fcMRI information.

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.

This study examines age-related changes in white matter tracts using morphometry and microstructural metrics to identify sex-specific degeneration patterns and propose a unified model of WM aging.

This study identifies widespread brain-body co-fluctuations across multiple physiological systems and shows they are linked to autonomic nervous system activity.

This study examines how adiposity relates to white matter microstructural health and intelligence, finding sex differences in these associations.

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.

This study compares diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) in UK Biobank data to assess how non-Gaussian diffusion metrics improve understanding of white matter aging.

This study compares spatial and temporal ICA for denoising resting-state fMRI, finding sICA better for motion and tICA for physiological noise, recommending a hybrid approach.

This study compares PETCO2 clamping and retroactive correction in resting-state fMRI to assess their impact on functional connectivity and signal stability.