Sergiu Groppa

The paper identifies oligodendrocyte subtype changes in Parkinson's disease across species, linking them to disease progression and clinical outcomes.

This study identifies genetic associations between lysosomal genes and Parkinson's disease risk across diverse populations using GWAS and whole genome sequencing data.

The paper uses single-cell spatial transcriptomics to analyze brain samples from neurodegenerative diseases and COVID-19, identifying disease-specific transcriptional patterns and microenvironmental changes.

This study identifies tyrosine receptor signalling as linked to choroid plexus enlargement and CSF dynamics in MS neuroinflammation.

The paper outlines the protocol for integrating genetic and clinical data from a global cohort of over 150,000 participants to study the genetic causes of sporadic Parkinson's disease.

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 investigates how subthalamic nucleus activity modulates action adaptation in Parkinson's patients during a force adaptation task, finding that reduced beta activity correlates with better adaptation.

This study uses cortical network analysis to predict deep brain stimulation outcomes in dystonia patients, finding that grey matter atrophy patterns can predict response with 88% accuracy.

The paper analyzes dynamic network responses to threat, showing that community reorganization and flexibility drive physiological responses.

This study uses TMS-EEG to examine dmPFC excitability during fear processing and links it to structural brain properties.