Neurology

Research on Machine Learning Models Based on Cranial CT Scan for Assessing Prognosis of Emergency Brain Injury.

BACKGROUND: To evaluate the prognosis of patients with traumatic brain injury according to the Computed Tomography (CT) findings of skull fracture and cerebral parenchymal hemorrhage.

A systematic review of artificial intelligence techniques based on electroencephalography analysis in the diagnosis of epilepsy disorders: A clinical perspective.

In recent years, Artificial Intelligence (AI), with a specific emphasis on attention mechanisms instead of conventional Deep Learning (DL) or Machine Learning (ML), has demonstrated significant applicability across diverse medical domains. This paper redirects its focus from general brain mapping techniques to specifically investigate the impact of AI in the field of epilepsy diagnosis, concentrat...

High-Resolution Spatial Profiling of Microglia Reveals Proximity Associated Immunometabolic Reprogramming in Alzheimer's Disease.

Single-cell RNA sequencing has demonstrated that the presence of parenchymal amyloid plaques and intracellular hyperphosphorylated tau pathology is as...

Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types.

This research aims to decode hand grasps from Electroencephalograms (EEGs) for dexterous neuroprosthetic development and Brain-Computer Interface (BCI...

Transforming Chronic Pain Management: Integrating Neuromodulation with Advanced Technologies to Tackle Cognitive Dysfunction - A Narrative Review.

Chronic pain is a complex and multidimensional condition that disrupts both physical function and cognitive processing, creating a bidirectional cycle...

Unlocking nerve regeneration: electrical stimulation and bioscaffolds to enhance peripheral nerve regeneration.

Peripheral nerve injury (PNI) is a challenging clinical problem resulting in disabling sensorimotor deficits, which may become permanent if recovery d...

The Lack of Neurofeedback Training Regulation Guidance and Process Evaluation May be a Source of Controversy in Post-Traumatic Stress Disorder-Neurofeedback Research: A Systematic Review and Statistical Analysis.

Neurofeedback (NF) based on brain-computer interface (BCI) is an important direction in adjunctive interventions for post-traumatic stress disorder (...

SyncLearnNet: Generalized Epileptic Seizure Detection Network Based on Brain Signals.

Epilepsy is a prevalent neurological disorder with significant detrimental effects on health. Accurate seizure detection is crucial for the precise di...

QSPR analysis of physico-chemical and pharmacological properties of medications for Parkinson's treatment utilizing neighborhood degree-based topological descriptors.

Topological indices are invariant quantitative metrics associated with a molecular graph, which characterize the bonding topology of a molecule. The m...

Quantifying Sleep Quality Through Delta-Beta Coupling Across Sleep and Wakefulness.

Modern lifestyles contribute to insufficient sleep, impairing cognitive function and weakening the immune system. Sleep quality (SQ) is vital for phys...

Early detection of Alzheimer's disease progression stages using hybrid of CNN and transformer encoder models.

Alzheimer's disease (AD) is a neurodegenerative disorder that affects memory and cognitive functions. Manual diagnosis is prone to human error, often ...

Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation.

BACKGROUND: For patients with drug-resistant focal epilepsy, surgical resection of the epileptogenic zone (EZ) is an effective treatment to control se...

Detecting Activities of Daily Living in Egocentric Video to Contextualize Hand Use at Home in Outpatient Neurorehabilitation Settings.

Wearable egocentric cameras and machine learning have the potential to provide clinicians with a more nuanced understanding of patient hand use at hom...

Cocaine-Induced Apoplexy of a GH-Secreting Pituitary Tumor.

A 25-year-old previously healthy man presents to the clinic with a severe headache after cocaine consumption. Physical examination revealed acromegalo...

Reinforcement Learning-Driven Path Generation for Ankle Rehabilitation Robot Using Musculoskeletal-Informed Energy Optimization.

In rehabilitation robotics, optimizing energy consumption and high interaction forces is essential to prevent unnecessary muscle fatigue and excessive...

The two cut-offs approach for plasma p-tau217 in detecting Alzheimer's disease in subjective cognitive decline and mild cognitive impairment.

BACKGROUND: The study aimed to explore the applicability of plasma phosphorylated tau (p-tau)217 in identifying patients with subjective cognitive dec...

Seizures influence sleep macrostructure and the sleep-wake circadian rhythm in Dravet syndrome.

OBJECTIVE: Dravet syndrome (DS) is a developmental and epileptic encephalopathy with a wide spectrum of comorbidities comprising sleep disorders, repo...

Preoperative BOLD cerebrovascular reactivity correlates with intraoperative STA-MCA bypass flow and influences postoperative CVR improvement.

INTRODUCTION: The superficial temporal artery-middle cerebral artery (STA-MCA) flow augmentation bypass is effective for treating Moyamoya vasculopath...

Phenolic Content, Antioxidant Capacity, and Therapeutic Potential of Mango ( L.) Leaves.

The phenolic composition, antioxidant capacity, and enzyme inhibition activities of L. leaf (MLs) ethanol extract were comprehensively evaluated to e...

Integrating Fine-Tuned LLM with Acoustic Features for Enhanced Detection of Alzheimer's Disease.

Dementia represents a global public health concern, with the early detection of Alzheimer's disease, the most prevalent form of dementia, being of par...