The diagnosis of Parkinson's disease (PD) remains still clinical; nevertheless, in the last
decades, the rapid evolution of advanced MRI techniques has made it possible to detect …

Background Recent studies using resting-state functional connectivity and machine-learning
to distinguish patients with neurodegenerative diseases from other groups of subjects show …

Aberrant dynamic switches between internal brain states are believed to underlie motor
dysfunction in Parkinson's disease. Deep brain stimulation of the subthalamic nucleus is a …

The network approach is increasingly being applied to the investigation of normal brain
function and its impairment. In the present review, we introduce the main methodological …

Background Levodopa‐induced dyskinesias are a common side effect of dopaminergic
therapy in PD, but their neural correlates remain poorly understood. Objectives This study …

Background The thalamus is a key node of deep gray matter and previous studies have
demonstrated that it is involved in the modulation of cognition. Purpose To investigate the …

Resting state functional MRI (rs-fMRI) has been previously shown to be a promising tool for
the assessment of early Parkinson's disease (PD). In order to assess whether changes …

In Parkinson's disease (PD), iron accumulation in the substantia nigra (SN) exacerbates
oxidative stress and α-synuclein aggregation, leading to neuronal death. However, the …

Artifact removal from resting state fMRI data is an essential step for a better identification of
the resting state networks and the evaluation of their functional connectivity (FC), especially …

Objective: The purpose of this study was to investigate the relationship between disruption of
MRI-measured resting-state functional connectivity (rs-fcMRI) brain networks and CSF levels …