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Openness is a personality trait reflecting absorption in sensory experience, preference for novelty, and creativity, and is thus considered a driving force of human evolution. At the brain level, a relation between openness and dopaminergic circuits has been proposed, although evidence to support this hypothesis is lacking. Recent behavioral research has(More)
PURPOSE This paper describes a novel method to automatically segment the human brainstem into midbrain and pons, called labs: Landmark-based Automated Brainstem Segmentation. LABS processes high-resolution structural magnetic resonance images (MRIs) according to a revised landmark-based approach integrated with a thresholding method, without manual(More)
Levodopa-induced dyskinesias are disabling motor complications of long-term dopamine replacement in patients with Parkinson's disease. In recent years, several alternative models have been proposed to explain the pathophysiological mechanisms underlying this hyperkinetic motor disorder. In particular, our group has shed new light on the role of the(More)
BACKGROUND Parkinson's disease is primarily a disorder of response initiation characterized by an excessive motor inhibition, whereas levodopa-induced dyskinesias are clearly a clinical expression of disinhibition of movements. OBJECTIVE That levodopa-induced dyskinesias are linked to dysfunctions of inhibitory brain network has recently been proposed,(More)
PURPOSE Pathological gambling (PG) is one of the most devastating non-motor complications of Parkinson's disease (PD). Neuroanatomical abnormalities in PD patients with PG are poorly understood. METHODS In the current study we investigated PD patients with and without PG using Voxel Based Morphometry (VBM) and local Gyrification Index (lGI), two(More)
BACKGROUND The aim of the current study was to distinguish patients who had tremor-dominant Parkinson's disease (tPD) from those who had essential tremor with rest tremor (rET). METHODS We combined voxel-based morphometry-derived gray matter and white matter volumes and diffusion tensor imaging-derived mean diffusivity and fractional anisotropy in a(More)
Presently, there are no valid biomarkers to identify individuals with eating disorders (ED). The aim of this work was to assess the feasibility of a machine learning method for extracting reliable neuroimaging features allowing individual categorization of patients with ED. Support Vector Machine (SVM) technique, combined with a pattern recognition method,(More)
The effectiveness of cognitive rehabilitation (CR) in Parkinson’s disease (PD) is in its relative infancy, and nowadays there is insufficient information to support evidence-based clinical protocols. This study is aimed at testing a validated therapeutic strategy characterized by intensive computer-based attention-training program tailored to attention(More)
OBJECTIVES The State-Trait Anxiety Inventory (STAI) and the Hamilton scale for anxiety (HARS) are two of the most important scales employed in clinical and psychological realms for the evaluation of anxiety. Although the reliability and sensibility of these scales are widely demonstrated there is an open debate on what exactly their scores reflect.(More)