Optimizing Bereitschaftspotential Detection Using Signal Processing Techniques
Objective: Apply signal processing methods for more robust Bereitschaftspotential detection Background: The Bereitschaftspotential (readiness potential, BP) is a small, slow rising negative scalp EEG potential…Contribution of β-band functional connectivity to the α-synuclein propagation in early-stage Parkinson’s Disease: insights from the analysis of brain network properties
Objective: To investigate the relationship between CSF α-synuclein levels and EEG-based network properties, aiming to clarify their role in PD pathophysiology. Background: Parkinson’s disease (PD)…EEG connectivity in Parkinson disease: a comparative analysis of sporadic and genetic forms in ON/OFF therapy.
Objective: The study aims to compare the connectivity profile of patients affected by sporadic and genetic Parkinson's disease in different levodopa conditions through the analysis…Gait Imagination and Gait Observation Related Midfrontal Oscillations in People With Parkinson’s Disease and Freezing of Gait
Objective: To examine midfrontal oscillations in people with Parkinson’s disease (PD) with freezing of gait (PDFOG+), without FOG (PDFOG–), and healthy controls during gait imagination…Investigation of the mode of action of a new device for the application of therapeutic vibro-tactile stimulation to the fingertips on brain activity
Objective: The development of a new therapeutic glove for the vibro-tactile stimulation of the fingertips was accompanied by investigations on its mode of action on…Staging Disease Progression from Prodromal to Overt Stage of Alpha-synucleinopathies
Objective: To compute a disease progression model of the prodromal to overt synucleinopathy continuum, usable at single subject level. Background: Progression milestones to stage patients…Tracking cortical and peripheral beta bursts in Parkinson’s disease during DBS modulation
Objective: We examined the relationship between cortical and peripheral beta bursts during symptom fluctuations in Parkinson’s disease (PD), and their response to deep brain stimulation…Machine-learning Prediction of Cognition in Parkinson’s disease: Benchmarking EEG Source Functional Connectivity and Structural MRI
Objective: To develop machine-learning neural biomarkers to predict cognition in Parkinson’s disease (PD). Background: Variable levels of cognitive impairment are found in PD[1,2], but optimal…Poor sleep quality is one of the causes of cognitive decline in Parkinson’s disease (PD)-1
Objective: The purpose of this study was to clarify the relationship between sleep disorders and cognitive function in PD by overnight electroencephalogram (EEG) and sleep…Utilising Beta Power in Local Networks to Predict Freezing of Gait Events in Parkinson’s Disease
Objective: Our study examined brain network changes during the transition to Freezing of Gait (FOG) versus voluntary stopping. Identifying specific neural alterations may help establish…
- « Previous Page
- 1
- 2
- 3
- 4
- …
- 16
- Next Page »