Network analytical tools are increasingly being applied to brain imaging maps of resting
metabolic activity (PET) or blood oxygenation-dependent signals (functional MRI) to …

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 …

Involvement of the default mode network (DMN) in cognitive symptoms of Parkinson's
disease (PD) has been reported by resting‐state functional MRI (rsfMRI) studies. However …

The hallmark pathology underlying Parkinson disease (PD) is progressive synucleinopathy,
beginning in caudal brainstem that later spreads rostrally. However, the primarily subcortical …

Positron emission tomography (PET) represents a unique molecular tool to get in vivo
access to a wide spectrum of biological and neuropathological processes, of crucial …

Objective To elucidate the role of Parkinson disease (PD)-related brain metabolic patterns
as a biomarker in isolated REM sleep behavior disorder (iRBD) for future disease …

Parkinson's disease (PD) is characterized by heterogeneity in clinical syndromes, prognosis,
and pathophysiology mechanisms. Gender differences in neural anatomy and function are …

Over the last years convolutional neural networks (CNNs) have shown remarkable results in
different image classification tasks, including medical imaging. One area that has been less …

The analysis of structural and functional neuroimaging data using graph theory has
increasingly become a popular approach for visualising and understanding anatomical and …

Frontotemporal dementia (FTD) is a spectrum of clinical syndromes that affects personality,
behavior, language, and cognition. The current diagnostic criteria recognize three main …