Headache as the sole presenting symptom of cerebral venous sinuses thrombosis: Subgroup analysis of data from the VENOST study.

Objectives: Headache is the most common complaint in cerebral venous sinus thrombosis (CVST) and it may sometimes be the only symptom in these patients. This retrospective and prospective study was an investigation of any differences in terms of clinical risk factors, radiological findings, or prognosis in patients with CVST who presented with isolated headache (IH) and cases with other concomitant findings (non-isolated headache [NIH]).

Methods: A total of 1144 patients from a multicenter study of cerebral venous sinus thrombosis (VENOST study) were enrolled in this research.

Serum endocan levels in multiple sclerosis relapse and remission.

Objective: Endocan has been defined as an important marker of inflammatory diseases, vascular and endothelial injury, tumour progression, cell adhesion and angiogenesis. In our study, we compared the serum endocan, C-reactive protein (CRP) and neutrophil-lymphocyte ratio (NLR) levels of relapsing-remitting multiple sclerosis (RRMS) patients in remission and in relapse.

Patients And Methods: This study included 53 RRMS remission patients, 30 RRMS relapse/post-relapse patients and 44 healthy volunteers.

Assessment of Patients with Intracerebral Hemorrhage or Hemorrhagic Transformation in the VENOST Study.

Introduction: Cerebral venous and sinus thrombosis (CVST) may lead to cerebral edema and increased intracranial pressure; besides, ischemic or hemorrhagic lesions may develop. Intracerebral hemorrhages occur in approximately one-third of CVST patients. We assessed and compared the findings of the cerebral hemorrhage (CH) group and the CVST group.

Analysis of YouTube as a source of information for restless leg syndrome.

Background: YouTube is one of the major resources for health related videos around the world.

Objective: The aim of this study was to evaluate the quality of information available on YouTube about restless leg syndrome (RLS).

Methods: A YouTube search was carried out on https://www.

Evaluation of potential auras in generalized epilepsy from EEG signals using deep convolutional neural networks and time-frequency representation.

The general uncertainty of epilepsy and its unpredictable seizures often affect badly the quality of life of people exposed to this disease. There are patients who can be considered fortunate in terms of prediction of any seizures. These are patients with epileptic auras.