Functional connectivity signatures of Parkinson's disease

A Tessitore, M Cirillo… - Journal of Parkinson's …, 2019 - content.iospress.com
Resting-state functional magnetic resonance imaging (RS-fMRI) studies have been
extensively applied to analyze the pathophysiology of neurodegenerative disorders such as …

Resting‐state functional MRI in Parkinsonian syndromes

M Filippi, E Sarasso, F Agosta - Movement disorders clinical …, 2019 - Wiley Online Library
ABSTRACT Background Functional MRI (fMRI) has been widely used to study abnormal
patterns of functional connectivity at rest in patients with movement disorders such as …

Early diagnosis of Parkinson's disease using EEG, machine learning and partial directed coherence

APS De Oliveira, MA De Santana… - Research on Biomedical …, 2020 - Springer
Background Parkinson's disease (PD) is a neurodegenerative disease, which has an
upward progression. In advanced stages, motor symptoms cause functional impairment to …

Longitudinal brain connectivity changes and clinical evolution in Parkinson's disease

M Filippi, S Basaia, E Sarasso, T Stojkovic… - Molecular …, 2021 - nature.com
Longitudinal connectivity studies might guide our understanding of the underlying
neurodegenerative processes. We report the results of a longitudinal study in patients at …

[HTML][HTML] Art therapy for Parkinson's disease

A Cucca, A Di Rocco, I Acosta, M Beheshti… - Parkinsonism & Related …, 2021 - Elsevier
Objective To explore the potential rehabilitative effect of art therapy and its underlying
mechanisms in Parkinson's disease (PD). Methods Observational study of eighteen patients …

Functional MRI in idiopathic Parkinson's disease

M Filippi, S Elisabetta, N Piramide, F Agosta - International review of …, 2018 - Elsevier
Functional MRI (fMRI) has been widely used to study abnormal patterns of brain connectivity
at rest and activation during a variety of tasks in patients with idiopathic Parkinson's disease …

Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity

C Rubbert, C Mathys, C Jockwitz… - The british journal of …, 2019 - academic.oup.com
Objective: Evaluation of a data-driven, model-based classification approach to discriminate
idiopathic Parkinson's disease (PD) patients from healthy controls (HC) based on between …

Elevation of gangliosides in four brain regions from Parkinson's disease patients with a GBA mutation

S Blumenreich, T Nehushtan, OB Barav… - npj Parkinson's …, 2022 - nature.com
A number of genetic risk factors have been identified over the past decade for Parkinson's
Disease (PD), with variants in GBA prominent among them. GBA encodes the lysosomal …

Alterations in knee sensorimotor brain functional connectivity contributes to ACL injury in male high-school football players: a prospective neuroimaging analysis

JA Diekfuss, DR Grooms, KS Nissen… - Brazilian Journal of …, 2020 - Elsevier
Objective This study's purpose was to utilize a prospective dataset to examine differences in
functional brain connectivity in male high school athletes who suffered an anterior cruciate …

Non-invasive transcranial electrical stimulation in movement disorders

J Ganguly, A Murgai, S Sharma, D Aur… - Frontiers in …, 2020 - frontiersin.org
Dysfunction within large-scale brain networks as the basis for movement disorders is an
accepted hypothesis. The treatment options for restoring network function are limited. Non …