Neurology

Latest AI and machine learning research in neurology for healthcare professionals.

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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,...

Improved serotonin neuron-specific viral vectors applicable for optogenetic manipulation and recording.

Serotonin neurons are central to the pathophysiology and therapeutics of mental disorders, including...

Gait Characteristics Associated with Walking Speed in Postoperative Patients with Adult Spinal Deformity Extracted by Machine Learning.

PURPOSE: Patients with adult spinal deformity (ASD) are unable to walk faster even after spinal fixa...

Unraveling potent Glycyrrhiza glabra flavonoids as AKT1 inhibitors using network pharmacology and machine learning-assisted QSAR.

Glycyrrhiza glabra (G. glabra) phytocompounds have been reported to interact with neurological targe...

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 ...

Relevance of choroid plexus volumes in multiple sclerosis.

BACKGROUND: The choroid plexus (ChP) plays a pivotal role in inflammatory processes that occur in mu...

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 ...

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 t...

Cross-Subject Motor Imagery Electroencephalogram Decoding with Domain Generalization.

Decoding motor imagery (MI) electroencephalogram (EEG) signals in the brain-computer interface (BCI)...

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. Res...

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

Timely intervention for Alzheimer's disease (AD) requires early detection. The development of immuno...

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 neurol...

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 a...

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 sud...

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 trea...

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 separati...

Speckle pattern analysis with deep learning for low-cost stroke detection: a phantom-based feasibility study.

SIGNIFICANCE: Stroke is a leading cause of disability worldwide, necessitating rapid and accurate di...

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