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 …

Hypokinetic dysarthria (HD) occurs in 90% of Parkinson's disease (PD) patients. It manifests
specifically in the areas of articulation, phonation, prosody, speech fluency, and faciokinesis …

Parkinson's disease (PD) is a progressive-neurodegenerative disorder that affects more
than 6 million people around the world. However, conventional techniques for PD detection …

Advances in molecular and structural and functional neuroimaging are rapidly expanding
the complexity of neurobiological understanding of Parkinson's disease (PD). This review …

In recent years, neural networks have become very popular in all kinds of prediction
problems. In this paper, multiple feed-forward artificial neural networks (ANNs) with various …

Speech impairment is a common and disabling symptom in Parkinson's disease (PD),
affecting communication and quality of life. Advances in digital speech processing and …

Parkinson's disease (PD) currently affects approximately 10 million people worldwide. The
detection of PD positive subjects is vital in terms of disease prognostics, diagnostics …

Several studies have shown sensorimotor deficits in speech processing in individuals with
idiopathic Parkinson's disease (PD). The underlying neural mechanisms, however, remain …

Purpose To use resting-state functional magnetic resonance (MR) imaging and graph theory
approaches to investigate the brain functional connectome and its potential relation to …

Parkinson's disease (PD) is common disorder for many people and is not easy to diagnose.
It is a neurological disorder. The authors proposed a novel approach using data partitioning …