Background The second consensus criteria for the diagnosis of multiple system atrophy
(MSA) are widely recognized as the reference standard for clinical research, but lack …

Parkinson's disease is the second most common neurodegenerative disease and its
prevalence has been projected to double over the next 30 years. An accurate diagnosis of …

Parkinson's disease (PD) and atypical Parkinsonian syndromes are progressive
heterogeneous neurodegenerative diseases that share clinical characteristic of …

Neuromelanin sensitive magnetic resonance imaging (NMS-MRI) has been crucial in
identifying abnormalities in the substantia nigra pars compacta (SNc) in Parkinson's disease …

This paper discusses the promising areas of research into machine learning applications for
the prevention and correction of neurodegenerative and depressive disorders. These two …

Parkinson's disease presents several practical challenges: it can be difficult to distinguish
from atypical parkinsonian syndromes, clinical ratings can be insensitive as markers of …

Multiple system atrophy (MSA) is a rare and fatal neurodegenerative disorder characterized
by a variable combination of parkinsonism, cerebellar impairment, and autonomic …

Diffusion tensor imaging (DTI) allows measuring fractional anisotropy and similar
microstructural indices of the brain white matter. Lower than normal fractional anisotropy as …

Machine learning is extremely promising for assisting diagnosis and prognosis in brain
disorders. Nevertheless, we argue that key challenges remain to be addressed by the …

Recent data suggest mechanistic links among perturbed iron homeostasis, oxidative stress,
and misfolded protein aggregation in neurodegenerative diseases. Iron overload and …