Given concerns about the reproducibility of scientific findings, neuroimaging must define
best practices for data analysis, results reporting, and algorithm and data sharing to promote …

The differential diagnosis of parkinsonian syndromes is considered one of the most
challenging in neurology and error rates in the clinical diagnosis can be high even at …

There is a clear need to develop non-invasive markers of substantia nigra progression in
Parkinson's disease. We previously found elevated free-water levels in the substantia nigra …

White matter fiber tracking using diffusion magnetic resonance imaging (dMRI) provides a
noninvasive approach to map brain connections, but improving anatomical accuracy has …

In this work, we propose a diffusion MRI protocol for mining Parkinson's disease diffusion
MRI datasets and recover robust disease-specific biomarkers. Using advanced high angular …

Artificial intelligence (AI) has the potential to bring transformative improvements to the field of
radiology; yet, there are barriers to widespread clinical adoption. One of the most important …

Purpose To investigate the structural brain connectome in patients with Parkinson disease
(PD) and mild cognitive impairment (MCI) and in patients with PD without MCI. Materials and …

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 …

Background Parkinson's disease (PD) is a progressive neurodegenerative disorder causing
motor and non-motor symptoms that can affect independence, social adjustment and the …

A whole-brain streamlines data-set (so-called tractogram) generated from diffusion MRI
provides a wealth of information regarding structural connectivity in the brain. Besides …