Neurological disorders and treatments

This paper develops a movement decoding pipeline using spatio-spectral features from cortical and subcortical signals, showing improved decoding with spatial information.

This study examines how dopaminergic medication affects oscillatory brain networks in Parkinson's disease using combined STN and MEG recordings.

This paper quantifies individual anatomical variability of the connectivity-defined ventralis intermedius nucleus (cd-Vim) using probabilistic tractography and finds it is more variable on the right and not influenced by methodological confounds.

This study investigates how electrical stimulation of the posterior hypothalamic nucleus affects basal ganglia activity, finding increased firing rates in some regions and decreased in others.

This study investigates how deep brain stimulation of the posterior hypothalamic nucleus increases neocortical excitability through thalamo-cortical circuits in rodents.

The paper develops a computational framework to predict site-specific and frequency-dependent effects of deep brain stimulation on neuronal activity using experimental and theoretical insights.

This study compares probabilistic and deterministic diffusion tensor imaging tractography with stereotactic coordinates for targeting the ventral intermediate nucleus in DBS, finding probabilistic tractography most accurate.

This study investigates how correlations in basal ganglia output affect thalamic rebound spikes and motor signal transmission using a Hodgkin-Huxley model.

This study investigates the effects of zona incerta stimulation on human pain perception and finds it reduces heat pain but not other sensations.

This study shows that the Tor1a(ΔE) mutation in dopamine neurons reduces dopamine release, while having no effect in cholinergic neurons, indicating a cell-intrinsic role in dystonia.

This study uses chemogenetic suppression of the subthalamic nucleus in monkeys to show it reduces spike variability in the basal ganglia, leading to more stable movements.

This study identifies high-frequency oscillations in the internal globus pallidus as a pathophysiological feature of Parkinson's disease using clinical and preclinical data.

This study identifies distinct GPe neuron subtypes using mouse lines and shows their unique roles in motor behavior and anxiety-like behavior through optogenetics and machine learning.

This study identifies that direct-pathway striatal projection neurons (dSPNs) target Npas1+ neurons in the external globus pallidus (GPe) and show that this projection suppresses movement, contributing to Parkinson's disease hypokinesia.

The paper identifies two distinct GPe-PV neuron pathways in mice and shows they contribute to different Parkinsonian symptoms through differential electrophysiological responses to dopamine depletion.

This study investigates how the size and shape of deep brain stimulation contacts affect neural selectivity, finding that smaller contacts better constrain activation to nearby grey matter but are less energy efficient.

The paper identifies bi-allelic variants in TSPOAP1 as a cause of autosomal recessive dystonia, showing different clinical presentations based on variant type.

This study identifies distinct roles of dorsal and ventral subthalamic neurons in action selection and cancellation during a stop-signal task in humans.

This study uses human neurons to model DYT1 dystonia, revealing LMNB1 dysregulation as a key factor in disease pathology.

The paper investigates how implant location affects ECG contamination in neurostimulation systems, finding higher contamination in left-sided subclavicular implants compared to right-sided ones.

This paper demonstrates a method to suppress essential tremor by disrupting neural oscillation coherence through phase-locked electrical stimulation of the cerebellum.

The paper identifies differentially expressed proteins in a mouse model of DOPA-responsive dystonia, revealing shared mechanisms with human dystonic disorders.

This paper compares electrocorticography (ECoG) and subthalamic local field potentials (LFP) for movement decoding in Parkinson's disease, finding ECoG superior and demonstrating the impact of PD pathophysiology on decoding performance.

This study investigates changes in intrinsic excitability of BGMT neurons in 6-OHDA lesioned mice, finding increased excitability due to reduced M-type potassium current.

This study uses a computational model of the basal ganglia to show that excitatory deep brain stimulation (EDBS) reduces pathological beta oscillations in Parkinson's disease, while inhibitory DBS does not.

The paper shows that dopamine levels affect beta oscillation frequency, not power or coherence, in cortico-basal ganglia networks of NHPs and PD patients.

This study identifies a disynaptic circuit in the globus pallidus involving arkypallidal neurons that inhibits locomotion.

The paper investigates synaptic inputs to two subpopulations of neurons in the mouse external Globus Pallidus, revealing distinct connectivity patterns from the striatum and subthalamic nucleus.

This study conducts a metabolomics analysis of cervical dystonia, identifying 289 significant metabolic differences and 9 associated biological pathways.

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