The Gut Dysmotility Questionnaire for Parkinson's disease: Insights into development and pretest studies.

Objective: A total of 48% of patients with Parkinson's disease (PD) present symptoms of gastrointestinal dysfunction, particularly constipation. Furthermore, gastrointestinal tract (GIT)-related non-motor symptoms (NMSs) appear at all stages of PD, can be prodromal by many years and have a relevant impact on the quality of life. There is a lack of GIT-focused validated tools specific to PD to assess their occurrence, progress, and response to treatment.

Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniques.

Parkinson's Disease (PD) is the second most common neurodegenerative disorder, affecting more than 1% of the population above 60 years old with both motor and non-motor symptoms of escalating severity as it progresses. Since it cannot be cured, treatment options focus on the improvement of PD symptoms. In fact, evidence suggests that early PD intervention has the potential to slow down symptom progression and improve the general quality of life in the long term.

Spontaneous Epidural Hematomas due to Cerebral Venous Thrombosis in a Patient with Immune Thrombocytopenic Purpura.

Introduction: Intracerebral haemorrhage in patients suffering from cerebral venous thrombosis (CVT) is relatively uncommon. CVT typically occurs in hypercoagulable state of various causes. Some drugs play a causative role in CVT and thrombopoietin receptor agonists are among them.

Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learning.

Fine-motor impairment (FMI) is progressively expressed in early Parkinson's Disease (PD) patients and is now known to be evident in the immediate prodromal stage of the condition. The clinical techniques for detecting FMI may not be robust enough and here, we show that the subtle FMI of early PD patients can be effectively estimated from the analysis of natural smartphone touchscreen typing via deep learning networks, trained in stages of initialization and fine-tuning. In a validation dataset of 36,000 typing sessions from 39 subjects (17 healthy/22 PD patients with medically validated UPDRS Part III single-item scores), the proposed approach achieved values of area under the receiver operating characteristic curve (AUC) of 0.

Paraneoplastic cerebellar degeneration in a patient with breast cancer associated with carbonic anhydrase-related protein VIII autoantibodies.

Paraneoplastic cerebellar degeneration is a neurological syndrome resulting from immune-mediated dysfunction of Purkinje cells and commonly is associated with a tumor. In most cases, well-characterized onconeural antibodies are detected, such as anti-Yo and anti-Ri antibodies. Carbonic anhydrase-related protein VIII (CARP VIII) antibodies associated with paraneoplastic cerebellar degeneration have been previously described in only two cases.