Alzheimer's Disease Revealed By Reliable Digital Memory Assessments Alzheimer's disease (AD) research has advanced in detecting pathological changes through biomarkers, but cognitive measures lag in capturing early, subtle impairments. Traditional assessments designed for overt deficits are now outpaced by discoveries in episodic memory networks within the medial temporal lobe, which are
Tag: neurologist
Presyncope Patient Outcomes In Emergency Care
Presyncope Patient Outcomes In Emergency Care Overview Syncope is characterized by a transient loss of consciousness, whereas presyncope involves similar prodromal symptoms without the actual loss of consciousness. Although extensive research has examined the risk of serious outcomes in emergency department (ED) patients with syncope, the outcomes and management of patients with
Alcohol Use Increases Risk Of Falling and Head Trauma In Geriatric Population
Alcohol Use Increases Risk Of Falling and Head Trauma In Geriatric Population Overview Falls are a prevalent concern among adults aged 65 and older and represent the leading cause of traumatic brain injuries in this age group. Alcohol consumption may elevate the risk of falls and exacerbate the severity of related injuries.
Pediatric Brain Tumors: A Study To Document Patient Fatigue
Pediatric Brain Tumors: A Study To Document Patient Fatigue Overview Children and adolescents who undergo treatment for brain tumors experience higher levels of fatigue compared to survivors of other childhood cancers. This study aimed to explore the longitudinal patterns of fatigue in pediatric brain tumor patients and identify risk factors associated with
Blood Donation And Relief From Migraine Pain
Blood Donation And Relief From Migraine Pain Overview Migraine is a common neurological disorder characterized by headaches. Given the difficulty in finding effective treatments, many migraine sufferers turn to alternative methods, including blood donation, which is speculated to offer relief. This study used logistic, Poisson, and Cox regression to analyze the relationship between
Ischemic Strokes Threaten Patients With Reversible Cerebral Vasoconstriction Syndrome
Ischemic Strokes Threaten Patients With Reversible Cerebral Vasoconstriction Syndrome Overview Posterior reversible encephalopathy syndrome (PRES) and reversible cerebral vasoconstriction syndrome (RCVS) can lead to ischemic stroke and intracranial hemorrhage. This study aimed to evaluate the incidence of these outcomes. Methods included a PROSPERO-registered systematic review and meta-analysis (CRD42022355704), utilizing PubMed up to
Carpal Tunnel: Nerve Assessment Using Ultrasound Technology
Carpal Tunnel: Nerve Assessment Using Ultrasound Technology Overview Carpal Tunnel Syndrome (CTS) is a prevalent nerve condition commonly diagnosed through symptoms and nerve tests. Recent advances in ultrasound technology, particularly Shear Wave Elastography (SWE), offer new possibilities for diagnosis. However, defining clear diagnostic criteria remains a challenge. This research aims
Success Of Vagus Nerve Stimulation In Epileptic Encephalopathies
Success Of Vagus Nerve Stimulation In Epileptic Encephalopathies Developmental and epileptic encephalopathies (DEE) encompass epilepsies accompanied by developmental impairments, which may arise from underlying causes or epileptic activity, leading to cognitive and behavioral issues. Conditions like Dravet and Rett syndromes, linked to single gene defects, typically manifest in infancy or early
Dysphagia After Stroke And Depression Symptoms
Dysphagia After Stroke And Depression Symptoms Overview The study aimed to investigate the correlation between swallowing difficulties, known as dysphagia, and symptoms of anxiety and depression following ischemic stroke. Conducted as part of the STROKE-CARD Registry study from 2020 to 2022, the research assessed dysphagia upon hospital admission, its persistence until discharge,
Seizure Detection Algorithm Using Heart Rate Variability
Seizure Detection Algorithm Using Heart Rate Variability Overview This study aimed to validate a novel seizure detection algorithm, based on heart rate variability (HRV) and logistic regression machine learning (LRML), in a Brazilian patient cohort undergoing long-term video-electroencephalography (LTM) monitoring. The LRML algorithm had shown promise in a Danish patient cohort, and
