Neurology

Study on the effect and mechanism of PM on the expression of alzheimer's-like lesions related proteins in SH-SY5Y cells.

Fine particulate matter (PM) is recognized as one of the most harmful environmental pollutants to human health. Current research indicates that PM exhibits neurotoxic effects, though the specific mechanisms remain unclear. In this study, SH-SY5Y cells were exposed to PM (100μg/mL for 24h) to observe its effects on the expression of Alzheimer's disease (AD)-related proteins and explore the possible...

Restoring AIBP expression in the retina provides neuroprotection in glaucoma.

Glaucoma is a neurodegenerative disease manifested by retinal ganglion cell (RGC) death and irreversible blindness. We have identified apolipoprotein A-I binding protein (AIBP) that controls excessive cholesterol accumulation and neuroinflammation in the retina by upregulating the cholesterol transporter ABCA1 and reducing TLR4 signaling and mitochondrial dysfunction. Here, we demonstrated that AI...

Hemostatic Activation Markers and Early Neurological Deterioration in Branch Atheromatous Disease-Related Stroke.

AIMS: Branch atheromatous disease (BAD)-related stroke, caused by atherosclerotic occlusion at the origin of a deep penetrating artery, are prone to e...

Relevance of choroid plexus volumes in multiple sclerosis.

BACKGROUND: The choroid plexus (ChP) plays a pivotal role in inflammatory processes that occur in multiple sclerosis (MS). The enlargement of the ChP ...

Altered aminoacid and lipid metabolism in a rat orofacial inflammation model determined by omics approach: potential role in trigeminal sensitisation.

BACKGROUND: Trigeminal activation and sensitisation involved in chronic inflammatory orofacial pain share several similarities with headaches, includi...

Neuroprotective Effects of Shrimp Oil Against Oxidative Stress in Chronic Cerebral Hypoperfusion Rats.

Shrimp oil is rich in polyunsaturated fatty acids and astaxanthin, which possesses high antioxidant activity. This study aimed to investigate the impa...

Automated Emergent Large Vessel Occlusion Detection Using Viz.ai Software and Its Impact on Stroke Workflow Metrics and Patient Outcomes in Stroke Centers: A Systematic Review and Meta-analysis.

The implementation of artificial intelligence (AI), particularly Viz.ai software in stroke care, has emerged as a promising tool to enhance the detect...

Behavioural and EEG correlates of forward and backward priming-An exploratory study.

During affective priming, perception of an emotional "prime stimulus" influences the reaction time to the subsequent emotional "target stimulus". If p...

Interpretable MRI-Based Deep Learning for Alzheimer's Risk and Progression.

Timely intervention for Alzheimer's disease (AD) requires early detection. The development of immunotherapies targeting amyloid-beta and tau underscor...

Classifying Obsessive-Compulsive Disorder from Resting-State EEG using Convolutional Neural Networks: A Pilot Study.

OBJECTIVE: Classifying obsessive-compulsive disorder (OCD) using brain data remains challenging. Resting-state electroencephalography (EEG) offers an ...

Cross-Subject Motor Imagery Electroencephalogram Decoding with Domain Generalization.

Decoding motor imagery (MI) electroencephalogram (EEG) signals in the brain-computer interface (BCI) can assist patients in accelerating motor functio...

Single-microphone deep envelope separation based auditory attention decoding for competing speech and music.

In this study, we introduce an end-to-end single microphone deep learning system for source separation and auditory attention decoding (AAD) in a comp...

Machine learning-based meta-analysis reveals gut microbiome alterations associated with Parkinson's disease.

There is strong interest in using the gut microbiome for Parkinson's disease (PD) diagnosis and treatment. However, a consensus on PD-associated micro...

EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models.

In the context of lifestyle changes, stress and other environmental factors have resulted in the sudden hike in dementia globally. This necessitates i...

Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques.

This study aims to deepen the understanding and classification of tinnitus through a comprehensive analysis of EEG signals utilizing innovative micros...

Event driven neural network on a mixed signal neuromorphic processor for EEG based epileptic seizure detection.

Long-term monitoring of biomedical signals is essential for the modern clinical management of neurological conditions such as epilepsy. However, devel...

Modification of the toronto rehabilitation institute-hand function test for integration into robot-assisted therapy: technical validation and usability.

BACKGROUND: Effective rehabilitation of the upper extremity function is vital for individuals recovering from stroke or cervical spinal cord injury, a...

Buchholzia coriacea seed attenuates scopolamine-induced memory impairment in Mice by down-regulating oxidative stress biomarkers.

ETHNOPHARMACOLOGICAL RELEVANCE: Amnesia is a common feature of neurodegenerative disorders. The seeds of Buchholzia coriacea have been traditionally e...

Artificial intelligence-driven natural language processing for identifying linguistic patterns in Alzheimer's disease and mild cognitive impairment: A study of lexical, syntactic, and cohesive features of speech through picture description tasks.

BackgroundLanguage deficits often occur early in the neurodegenerative process, yet traditional methods frequently fail to detect subtle changes. Natu...

Efficient, Robust, and Accurate CNN Predictor for Neuronal Activation in Directional Deep Brain Stimulation.

The programming of clinical deep brain stimulation (DBS) systems involves numerous combinations of stimulation parameters, such as stimulus amplitude,...