Li Hu

This paper compares two TENS modes, showing they reduce pain via distinct cortico-spinal mechanisms, with Conventional TENS involving spinal inhibition and Acupuncture-Like TENS relying on top-down modulation.

This study shows that Shank3 mutations in dogs disrupt affective touch processing in the dmPFC, with potential therapeutic implications.

The paper shows that higher-intensity sensory stimulation expands neural activation topography across multiple modalities, challenging the assumption of fixed neural populations.

This study shows that targeting spontaneous gamma oscillations in the parieto-occipital region via EEG neurofeedback reduces pain perception in healthy subjects.

The paper identifies replicable fMRI correlates of pain sensitivity across multiple pain types and develops a machine learning model to predict pain sensitivity and intervention outcomes.

The paper develops population-specific brain charts for Chinese individuals, revealing distinct neurodevelopmental patterns compared to Western populations and showing better performance in predicting brain phenotypes.

The paper investigates how neural variability relates to pain discriminability across EEG datasets and finds it is a reliable and selective indicator.

This paper identifies distinct neocortical mechanisms for human SI responses to median nerve and laser-evoked peripheral stimulation using computational modeling.

The paper investigates movement-induced analgesia through five experiments on 130 healthy humans, showing it results from multiple neural mechanisms rather than a single one.

This study shows that neural entrainment occurs at ultra-low frequencies (0.1 Hz) for thermal pain stimuli but not for auditory stimuli, linking it to pain sensitivity.