Biomarkers in whichever modality are tremendously important in diagnosing of disease,
tracking disease progression and clinical trials. This applies in particular for disorders with a …

Functional neuroimaging techniques provide important insight into the pathophysiology of
neurodegenerative disorders such as Parkinson's disease (PD) in-vivo. Recently, resting …

Parkinson's disease (PD) is a common progressive neurodegenerative disorder. Studies
using resting-state functional magnetic resonance imaging (fMRI) to investigate underlying …

Aims Age and sex are important individual factors modifying the clinical symptoms of
patients with Parkinson's disease (PD). Our goal is to evaluate the effects of age and sex on …

Parkinson disease (PD) can be considered as a brain multisystemic disease arising from
dysfunction in several neural networks. The principal aim of this study was to assess …

Cognitive and gait deficits are two debilitating symptoms that occur in Parkinson's disease
(PD). Importantly, a relationship between cognitive and gait deficits exists in PD, suggesting …

Impaired locomotion is a frequent and major source of disability in patients with neurological
conditions. Different neuroimaging methods have been used to understand the brain …

To investigate the value of combining amplitude of low-frequency fluctuations-based
radiomics and the support vector machine classifier method in distinguishing patients with …

Introduction Neurodegenerative diseases can be considered as 'disconnection
syndromes,'in which a communication breakdown prompts cognitive or motor dysfunction …

The recent application of graph theory to brain networks promises to shed light on complex
diseases such as Parkinson's disease (PD). This study aimed to investigate functional …