Explainable machine learning on baseline MRI predicts multiple sclerosis trajectory descriptors.

Multiple sclerosis (MS) is a multifaceted neurological condition characterized by challenges in timely diagnosis and personalized patient management. The application of Artificial Intelligence (AI) to MS holds promises for early detection, accurate diagnosis, and predictive modeling. The objectives of this study are: 1) to propose new MS trajectory descriptors that could be employed in Machine Learning (ML) regressors and classifiers to predict patient evolution; 2) to explore the contribution of ML models in discerning MS trajectory descriptors using only baseline Magnetic Resonance Imaging (MRI) studies.

What could posturography tell us about balance in essential tremor?

Background: Essential tremor (ET) is a neurological disorder characterized primarily by action tremor. Balance impairments in ET patients were formerly considered to be uncommon and simply age-related. However quantitative assessment with posturography has revealed impairments in control of both static and dynamic balance.

MAB-MIG: registry of the spanish neurological society of erenumab for migraine prevention.

Background: Erenumab was approved in Europe for migraine prevention in patients with ≥ 4 monthly migraine days (MMDs). In Spain, Novartis started a personalized managed access program, which allowed free access to erenumab before official reimbursement. The Spanish Neurological Society started a prospective registry to evaluate real-world effectiveness and tolerability, and all Spanish headache experts were invited to participate.

Safety of Intravenous Thrombolysis for Acute Stroke in Patients with an Active Malignancy: Case Series and Review of the Literature.

Introduction: Evidence is scarce regarding the safety of alteplase for acute stroke in patients with an active malignancy.

Methods: We reviewed medical records for patients with both conditions treated at our institution over a 2-year period.

Results: Five patients were identified, of which only one developed an asymptomatic intracerebral haemorrhage, and no systemic bleedings occurred.

What Could Posturography Tell Us About Balance Problems in Parkinson's Disease?

Objective: Impaired balance in patients with Parkinson's disease (PD) leads to loss of balance and frequent falls. Computerized dynamic posturography allows the assessment of stance tasks whereas mobile posturography analyzes the balance in free-field conditions, where falls among PD patients commonly occur (e.g.

Is posturography able to identify fallers in patients with Parkinson's disease?

Introduction: Parkinson' disease (PD) is one of the most prevalent neurodegenerative diseases, and more than half of patients with PD experience falls. Research for clinically useful risk factors predicting falls has yielded inconsistent findings so far. Hence the aim of the study is to validate two different posturography techniques and one modified-timed up and go test (TUG) in discriminating fallers and non-fallers among PD patients.

Primary malignant meningeal melanomatosis: a clinical, radiological and pathologic case study.

A 40 year-old woman with subacute headache and visual impairment was admitted. Neurological examination revealed meningismus, diminished visual acuity, bilateral sixth cranial nerve palsy, and papillary edema. Dermatologic examination was normal.