Neurology

Multiscale Organization of Neural Networks in a 3D Bioprinted Matrix.

The efficient establishment of in vitro neural models that accurately mimic the structural and funct...

Brain stimulation outcome prediction in Major Depressive Disorder by deep learning models using EEG representations.

Major Depressive Disorder (MDD) is known as a widespread illness and needs a timely treatment. The t...

Soft Bioelectronic Interfaces for Continuous Peripheral Neural Signal Recording and Robust Cross-Subject Decoding.

Accurate decoding of peripheral nerve signals is essential for advancing neuroscience research, deve...

Advanced predictive modeling for enhanced mortality prediction in ICU stroke patients using clinical data.

Background Stroke is second-leading cause of disability and death among adults. Approximately 17 mil...

A scientometric analysis of machine learning in schizophrenia neuroimaging: Trends and insights (2012-2024).

Machine learning applications in schizophrenia neuroimaging research have undergone significant evol...

Radiomic and proteomic signatures of body mass index on brain ageing and Alzheimer's-like patterns of brain atrophy.

BACKGROUND: The impact of high body mass index (BMI) states and associated proteomic factors on brai...

Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategy.

BACKGROUND: Valid non-invasive biomarkers for Parkinson's disease (PD) and Parkinson-plus syndrome (...

Identification of neuronal synapse-related signatures and potential therapeutic drugs in colorectal cancer based on machine learning algorithms and molecular docking.

BACKGROUND: Nervous system-cancer interactions can regulate tumorigenesis, invasion, and metastasis....

Machine Learning for Missing Data Imputation in Alzheimer's Research: Predicting Medial Temporal Lobe Flexibility.

BACKGROUND: Alzheimer's disease (AD) begins years before symptoms appear, making early detection ess...

How Intelligent is Artificial Intelligence? Using ChatGPT to Diagnose Epilepsy and Classify Seizures.

Neurostimulation for the Management of Epilepsy: Advances in Targeted Therapy.

BACKGROUND: Epilepsy is a multifaceted neurological disorder marked by seizures that can present wit...

Advances in Diagnostic Approaches for Alzheimer's Disease: From Biomarkers to Deep Learning Technology.

Alzheimer's disease (AD) is a devastating neurological disorder that affects humans and is a major c...

Multiband EEG signatures decoded using machine learning for predicting rTMS treatment response in MDD.

BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) is a promising treatment for major d...

AI-assisted multi-OMICS analysis reveals new markers for the prediction of AD.

Alzheimer's Disease (AD) is the most prevalent neurodegenerative disorder, characterized by progress...

Emerging blood biomarkers in Alzheimer's disease: a proteomic perspective.

Early detection of Alzheimer's disease (AD) remains a formidable clinical challenge, but emerging bl...

A Pilot Study Comparing Speech Characteristics in People With Parkinson's Disease and Controls Dancing Weekly Over 5-Years.

INTRODUCTION: Parkinson's Disease (PD) is a neurodegenerative disorder that affects motor and non-mo...

Development and validation of a quick screening tool for predicting neck pain patients benefiting from spinal manipulation: a machine learning study.

BACKGROUND: Neck pain (NP) ranks among the leading causes of years lived with disability worldwide. ...

Neuronal network analysis during short time transcranial direct current stimulation with permanent EEG measurement in early childhood: a feasibility study.

Transcranial direct current stimulation (tDCS) as a non-invasive stimulation is still in the experim...

Deep learning on brief interictal intracranial recordings can accurately characterize seizure onset zones.

OBJECTIVE: Epilepsy is a debilitating disorder affecting more than 50 million people worldwide, and ...

AI in Neurology: Everything, Everywhere, all at Once PART 2: Speech, Sentience, Scruples, and Service.

Artificial intelligence (AI) applications are finding use in real-world neurological settings. Where...

An adaptive frequency partitioning framework for epileptic seizure detection using TransseizNet.

OBJECTIVES: Epilepsy is a disorder causing repeated seizures because of unusual brain activity recor...