Neurological disorders and treatments

Automatic Localization of the Subthalamic Nucleus on Patient-Specific Clinical MRI by Incorporating 7T MRI and Machine Learning: Application in Deep Brain Stimulation

This paper develops an automatic method to localize the subthalamic nucleus on standard clinical MRI using 7T MRI data and machine learning, showing improved accuracy compared to existing atlases.

Differential contributions of subthalamic beta rhythms and neural noise to Parkinson motor symptoms

This study shows that removing neural noise improves the link between beta oscillations in the STN and Parkinson's motor symptoms.

Movement context modulates neuronal activity in motor and limbic-associative domains of the human subthalamic nucleus

The paper investigates how movement context affects neuronal activity in different subthalamic nucleus domains in Parkinson's patients during movement tasks.

Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging

The paper updates the Lead-DBS pipeline for DBS imaging and connectomics, demonstrating its application on clinical data and comparing preprocessing strategies.

Chemogenetic restoration of autonomous subthalamic nucleus activity ameliorates Parkinsonian motor dysfunction

The paper shows that restoring autonomous subthalamic nucleus activity through chemogenetics reduces synaptic synchronization and improves motor symptoms in Parkinson's disease models.

Machine learning based classification of deep brain stimulation outcomes in a rat model of binge eating using ventral striatal oscillations.

The paper uses machine learning to predict deep brain stimulation outcomes in a rat binge eating model based on ventral striatal oscillations, finding better prediction accuracy than chance.

Field synopsis and systematic meta-analyses of genetic association studies in isolated dystonia

This study performs a systematic meta-analysis of genetic association studies in isolated dystonia, identifying significant signals in TOR1A, DRD1, and ARSG but finding no single variant with strong association.

Mapping movement, mood, motivation, and mentation in the subthalamic nucleus

This study uses a 3D analysis to show that dorsal STN DBS improves motor function more than ventral STN DBS, but motor and non-motor effects overlap significantly.

Subthalamic nucleus neurons differentially encode early and late aspects of speech production

The paper examines subthalamic nucleus neuron activity during speech production, finding distinct firing rate changes related to speech planning and execution.

Sensorimotor cortical-subthalamic network dynamics during force generation

This study examines STN activity and subthalamic-cortical dynamics during force generation, finding that STN gamma activity predicts cortical activity and contributes to motor planning and execution.

Insights into Parkinson’s disease from computational models of the basal ganglia

This paper reviews computational models of Parkinson’s disease to understand its mechanisms, neural dynamics, and treatments.

Striatal cholinergic receptor activation causes a rapid, selective, & state-dependent rise in corticostriatal β activity.

This study shows that activating striatal cholinergic receptors increases beta oscillations in the corticostriatal loop, with directional connectivity and subband-specific effects.

Value Encoding in the Globus Pallidus: fMRI reveals an interaction effect between reward and dopamine drive

The paper uses fMRI to show that GPe activity interacts with reward and dopamine levels, supporting a computational model of value encoding in the basal ganglia.

Propagation of Beta/Gamma Rhythms in the Cortico-Basal Ganglia Circuits of the Parkinsonian Rat

The paper investigates changes in directed connectivity within cortico-basal ganglia networks in Parkinsonian rats following dopamine depletion, finding dopamine-dependent beta and gamma rhythms and altered connections.

Resting-state connectivity predicts patient-specific effects of deep brain stimulation for Parkinson’s disease

This paper uses functional brain connectomes to predict optimal deep brain stimulation targets for Parkinson’s disease patients, finding that globus pallidus and subthalamic nucleus are top choices for a significant proportion of patients.

Sensorimotor Processing In The Basal Ganglia Leads To Transient Beta Oscillations During Behavior

The paper models transient beta oscillations in the basal ganglia using a computational model combined with experimental data from rats performing a task, showing they share mechanisms with pathological beta oscillations in Parkinson's disease.

Modulation of high frequency by low-frequency Oscillations in the basal ganglia

The paper uses a network model to show that delta-band stimulation modulates beta-band activity in the basal ganglia through specific inhibitory and excitatory interactions.

Uncovering the underlying mechanisms and whole-brain dynamics of therapeutic deep brain stimulation for Parkinson’s disease

This study uses whole-brain computational modeling to analyze how deep brain stimulation affects brain dynamics in Parkinson’s disease patients, finding it shifts brain states closer to healthy dynamics.

Function of basal ganglia in tauG-guiding action

The paper analyzes the movement control functions of basal ganglia structures in monkeys, identifying their roles in guiding action through electrochemical flow dynamics.

Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity

The paper creates a composite atlas of subcortical brain structures for DBS targets using multimodal MRI, histology, and structural connectivity to improve electrode placement analysis.