Huiling Tan

The paper constructs a lifespan single-cell atlas of immune cells, identifies an early-childhood immunometabolic transition around age 6, and develops an age-referenced framework for immune-state analysis.

This study shows that device-embedded accelerometry better tracks Parkinsonian motor states than neural signals during deep brain stimulation.

This study shows that dithering suppresses half-harmonic neural synchronisation to photic stimulation in humans compared to periodic stimulation.

This study shows that tACS at the theta peak modulates extrasynaptic GABAergic tone in motor cortex without affecting corticospinal excitability or synaptic inhibition.

This study identifies distinct roles of the cuneiform and pedunculopontine nuclei in gait initiation and freezing of gait in Parkinson's disease using local field potentials and biomechanical markers.

This study investigates the distinct motor and cognitive roles of cortical beta oscillations and shows that rTMS at beta frequency can reduce beta desynchronisation and improve reaction times.

This study shows that aperiodic broadband power, not just beta oscillations, is linked to Parkinson's disease severity and is increased in the more affected hemisphere.

This study investigates β-γ phase-amplitude coupling in Parkinson's disease using EEG, finding frequency-specific increases in high β-γ PAC linked to motor symptoms and responsive to medication.

This study examines how STN beta oscillations relate to lower limb muscle activity during stepping in Parkinson's patients, finding distinct beta patterns and levodopa effects on motor control.

The paper analyzes beta burst characteristics and coupling between sensorimotor cortical and subthalamic nucleus (STN) regions in Parkinson's disease patients during naturalistic behaviors.

This study identifies thalamo-frontal alpha band connectivity patterns in Tourette Syndrome using DBS and EEG, linking reduced connectivity to tic severity and pre-tic dynamics.

This study compares evoked resonant neural activity (ERNA) to spectral markers in decoding sleep stages from subthalamic nucleus recordings in Parkinson's patients, finding ERNA provides better classification accuracy.

The paper presents a computational model that reproduces the long-term dynamics of evoked resonant neural activity (ERNA) using vesicle depletion as the key mechanism.

This paper predicts subthalamic nucleus beta bursts in Parkinson's disease using deep learning, identifying a predictive biomarker for burst onset.

This study examines how auditory cues affect STN oscillatory activity during stepping in Parkinson's disease, finding differential modulation of beta and transient oscillations.

This study shows that transcranial random noise stimulation improves inhibitory behavior by increasing low-beta power and intermittent beta-burst duration, particularly in impulsive individuals.

This study investigates the aperiodic exponent of subthalamic field potentials in Parkinsonism across species, finding it reflects excitation/inhibition balance and could be a biomarker for adaptive deep brain stimulation.

This study shows that PPN LFP alpha and beta oscillations are rhythmically modulated by gait phase, with spatial specificity and increased modulation in regular stepping.

The paper shows increased theta/alpha synchrony in the habenula-prefrontal network during negative emotional stimulus processing in psychiatric patients.

This study shows that neurofeedback training reduces STN beta bursts and improves movement speed in Parkinson's patients.

This study shows that alternating subthalamic nucleus deep brain stimulation can entrain stepping rhythms in Parkinson's patients, suggesting the STN's role in step timing control.

The paper investigates how high-frequency activity in the basal ganglia co-varies with motor cortical beta oscillations during motor control and rest in Parkinson's patients.

This study examines changes in subthalamic nucleus neural activity during anaesthesia and intubation using LFPs and EEG, finding frequency band shifts and coherence changes linked to excitation/inhibition balance.

This paper decodes voluntary movements and postural tremor from thalamic LFPs to enable on-demand DBS for essential tremor without peripheral sensors.