Contribution of individual motor signs to striatal dopamine deficiency in parkinsonism
Objective: The primary aim of the study was to investigate if any individual motor sign could be used clinically to predict striatal dopamine deficiency. Secondary…New approach to assess changes in brain activation during real walking using EEG
Objective: To examine the use of EEG during the performance of two well-known paradigms, dual task and oddball, to reveal changes in brain activation during…Improvement of antisaccade amplitude by the STN DBS and target eccentricity
Objective: To investigate the dependency of antisaccade (AS) amplitude improvement by the subthalamic nucleus (STN) deep brain stimulation (DBS) on the target eccentricity in Parkinson’s…Non-invasive, automated corneal nerve quantification reveals neurodegeneration in Parkinson’s disease: A potential novel imaging biomarker
Objective: The aim of the study is to use automated analysis of corneal confocal microscopy (CCM) images to allow rapid and reliable quantification of corneal…Longitudinal development of nigral iron load in Parkinson’s Disease
Objective: We for the first time investigated longitudinal changes of nigral iron load in Parkinson’s disease (PD) measured by Quantitative Susceptibility Mapping (QSM), a highly…Cognitive networks in Parkinson’s Disease Mild Cognitive Impairment: Salience Network disruption without gray matter loss
Objective: To identify neural correlates of mild cognitive impairment in Parkinson’s disease (PD-MCI) according to Level-I Movement Disorders Task Force Criteria (MDS-TF) (1), using a…Research on nearinfrared brain function imaging for Freezing of Gait in Parkinson’s Disease
Objective: In the study ,fNIRS technique was used to study the activation level and activation mode of prefrontal cerebral cortex for patients with FOG under…Putaminal dopamine depletion in de novo Parkinson’s disease predicts future development of wearing-off
Objective: The present study aimed to investigate whether the level of presynaptic dopamine neuronal loss predicts future development of wearing-off in de novo Parkinson’s disease.…Quantification of the PD Motor Syndrome Using an Inclusive Score (PD9) Derived from Sensor Data with Deep Learning
Objective: To quantify the PD motor syndrome with increased temporal and severity granularity using non-invasive internet-of-things (IoT) devices and deep learning methods. Background: Brady-hypokinetic parkinsonistic…Structural neural correlates of independent gait domains in Parkinson’s disease
Objective: To assess the subcortical motor structures of the brain associated with independent gait domains from Lord et al’s gait models (1, 2), in Parkinson’s…
Abstracts from the International Congress of Parkinson’s and Movement Disorders.