Bin He

This study shows tFUS can modulate sensory pathways in rats in an excitatory or inhibitory manner depending on stimulation parameters, mediated by specific neuronal populations.

This study shows stroke survivors without BCI experience can control robotic hands via finger-level motor imagery, achieving 84% accuracy for two-finger tasks using deep learning decoders.

This paper introduces an EEG foundation model that improves online directional motor imagery BCI control, achieving higher accuracy and faster task completion in human participants.

This paper investigates how low-intensity tFUS modulates inhibitory neural circuits in a humanized chronic pain mouse model, showing increased GAD67 and PV expression and restored E/I balance.

This study shows that combining transcranial focused ultrasound with transcranial electric stimulation induces location-specific cortical activation in resting humans, suggesting tFUS has subthreshold modulatory effects.

This study improves tFUS targeting specificity using a phase-reversal correction method with a random array transducer, showing significant increases in focal overlap and energy delivery.

This study shows that transcranial focused ultrasound can modulate visual thalamus and affect connected cortical areas in a nonhuman primate model.

This study uses EEG-informed fMRI to analyze neurovascular coupling during motor execution and imagery, revealing negative covariation between EEG alpha power and BOLD responses.

This study shows that tFUS selectively activates excitatory neurons in the cortico-thalamo-cortical pathway, modulating feedforward and feedback loops between brain regions.

This study investigates cell-type specific effects of tFUS in awake rats, finding that PRF and DC sensitivity persists despite some differences compared to anesthetized conditions.

This paper shows that targeting V5 with transcranial focused ultrasound improves a visual motion BCI task by enhancing feature-based attention through increased theta activity and preserved dorsal pathway connections.

The paper introduces an HFO-sequencing approach to analyze spontaneous HFOs in epilepsy patients, revealing propagation pathways and improving localization of epileptic tissue.

This study shows that transcranial focused ultrasound can modulate activity in the extrastriate visual cortex with subregion specificity when targeting the prefrontal cortex in rhesus macaques.

This paper proposes a framework to disentangle brain networks from resting state EEG/MEG recordings to localize epileptogenic zones in focal epilepsy, showing reasonable localization in 6/10 patients.

This study shows tFUS increases neural firing and induces frequency-dependent correlation changes in rat somatosensory cortex neurons.

This study shows deep learning improves BCI classification accuracy and information transfer rate using full scalp EEG data, benefiting users with lower initial performance.

This study uses transcranial focused ultrasound to enhance voluntary movement-related cortical activity in humans by modulating the movement-related cortical potential.

This study shows that mindfulness-based stress reduction improves BCI performance by enhancing control over alpha band neural activity during intentional rest.

SIFNet uses deep learning to improve source imaging from EEG/MEG data, showing better performance than traditional methods in simulations and clinical epilepsy data.

This study shows tFUS selectively affects excitatory and inhibitory neurons and induces long-term synaptic changes in rats.