Antonio Augimeri

TL;DR: The algorithm provides excellent discrimination of PD patients from PSP patients at an individual level, thus encouraging the application of computer-based diagnosis in clinical practice.

TL;DR: It is concluded that, in order to avoid artifacts and exclude the several sources of bias that may influence the analysis, an optimal method should comprise a careful preprocessing of the images, be based on multimodal, complementary data, take into account spatial information about the lesions and correct for false positives.

TL;DR: Combined resting state functional magnetic resonance and transcranial magnetic stimulation studies demonstrate that pathophysiological mechanisms underlying levodopa-induced dyskinesias may extend beyond the 'classical' basal ganglia dysfunctions model, including the modulation performed by the neural network centred on the inferior frontal cortex.

TL;DR: Reduced activation in PIVC, hippocampus, anterior insula, inferior frontal gyrus, and anterior cingulate cortex, as well as connectivity changes among these regions, may be linked to long-term vestibular symptoms in patients with CSD.

TL;DR: The aim of the current study was to distinguish patients with Parkinson disease from those with progressive supranuclear palsy at the individual level using pattern recognition of magnetic resonance imaging data.