Neuronal AMPK Regulates Microglial Lipid Droplet Accumulation in Tauopathy Brain

Accumulation of Lipid Droplets in Microglia is Regulated by Neuronal AMPK Background and Research Question Alzheimer’s Disease (AD) is a common type of dementia characterized by neurofibrillary tangles and β-amyloid plaques. However, beyond these classical pathologies, changes in lipid metabolism are increasingly recognized as closely associated wi...

Lycium Barbarum Polysaccharides Improves Cognitive Functions in ICV-STZ-Induced Alzheimer’s Disease Mice Model by Improving the Synaptic Structural Plasticity and Regulating IRS1/PI3K/AKT Signaling Pathway

Study on the Improvement of Cognitive Function in ICV-STZ-Induced Alzheimer’s Disease Mouse Model by Lycium Barbarum Polysaccharides Research Background Alzheimer’s disease (AD) is the most common neurodegenerative disease of the central nervous system, characterized by progressive cognitive impairment, memory loss, personality changes, and emotion...

Effect of Clemizole on Alpha-Synuclein-Preformed Fibrils-Induced Parkinson’s Disease Pathology: A Pharmacological Investigation

Effect of Clemizole on Alpha-Synuclein-Preformed Fibrils-Induced Parkinson’s Disease Pathology: A Pharmacological Investigation

Effects of Clemizole on Parkinson’s Disease Pathology Induced by α-Synuclein Fibril Formation Background Introduction Parkinson’s Disease (PD) is a typical neurodegenerative disease, mainly associated with mitochondrial dysfunction and oxidative stress. However, current therapeutic approaches targeting these pathological events have not successfull...

Glycyrrhizic Acid Alleviates Semen Strychni-Induced Neurotoxicity Through the Inhibition of HMGB1 Phosphorylation and Inflammatory Responses

Research Report on the Mechanism of Glycyrrhizic Acid in Alleviating Neurotoxicity Induced by Semen Strychni Background Introduction Semen Strychni, derived from the dried mature seeds of Strychnos Nux-vomica, has been found to possess various pharmacological activities, including anti-tumor, anti-inflammatory, immunosuppressive, and neuroexcitator...

Machine Learning for Automating Subjective Assessment of Arm Movement Abnormality After Acquired Brain Injury

Machine Learning for Automating Subjective Assessment of Arm Movement Abnormality After Acquired Brain Injury

Automated Clinical Assessment of Abnormal Walking Movements in ABI Patients Through Image Extraction and Classification Systems Academic Background Walking disability is a common physical impairment following Acquired Brain Injury (ABI). ABI typically includes stroke and traumatic brain injury, with a global incidence of approximately 1.5 million c...

Safety & Efficacy of a Robotic Hip Exoskeleton on Outpatient Stroke Rehabilitation

Safety and Efficacy: The Impact of Robotic Hip Exoskeleton on Outpatient Stroke Rehabilitation Background Stroke is the leading cause of disability among adults in the United States, with up to 80% of stroke survivors experiencing gait impairments, such as reduced walking speed, endurance, and asymmetrical gait, thereby limiting their ability to wa...

Exoskeleton Rehabilitation Robot Training for Balance and Lower Limb Function in Sub-Acute Stroke Patients: A Pilot, Randomized Controlled Trial

The Impact of Exoskeleton Rehabilitation Robot Training on Balance and Lower Limb Function in Subacute Stroke Patients: A Preliminary, Randomized Controlled Trial Research Background and Purpose Stroke is a leading cause of death and disability worldwide. With the rapid development of stroke treatment technology, the mortality rate of stroke has si...

Robot-aided assessment and associated brain lesions of impaired ankle proprioception in chronic stroke

Robot-Assisted Assessment of Chronic Stroke Adults’ Ankle Proprioception Deficits and Related Brain Injury Academic Background Stroke is a common neurological disorder, often resulting in hemiplegia, which affects the patient’s balance and gait control. Proprioception refers to the self-perception of body posture and movement, provided by mechanore...

Enhancing Fall Risk Assessment: Instrumenting Vision with Deep Learning During Walks

Introduction Fall events are common across various clinical populations, with usual risk assessments including visual observation of individual gait. However, gait observation assessments are typically confined to laboratory settings, involving standardized walking protocol tests to identify potential defects that might increase fall risk. Subtle d...

Automatic Gait Events Detection with Inertial Measurement Units: Healthy Subjects and Moderate to Severe Impaired Patients

A New Method for Automatic Gait Event Detection: Analysis of Inertial Measurement Units in Healthy Subjects and Patients with Moderate to Severe Impairment Cyril Voisard, Nicolas de L’Escalopier, Damien Ricard, Laurent Oudre. Journal of NeuroEngineering and Rehabilitation (2024) 21:104 https://doi.org/10.1186/s12984-024-01405-x Background of the St...