Latest AI and machine learning research in neurology for healthcare professionals.
BACKGROUND: The identification of reliable neural signatures for pain remains a critical challenge in both clinical and experimental settings. While electroencephalography (EEG) provides a promising avenue for pain assessment, it remains unclear whether phase- or power-based neural integration drives pain-state discrimination. This study investigates functional connectivity and cross-frequency cou...
Huntington's disease (HD) causes progressive disability through motor, psychiatric, and cognitive symptoms. Machine learning speech analysis can detect motor and cognitive symptoms of HD, but not yet psychiatric symptoms. This study investigated whether speech analyses can detect the presence of psychiatric symptoms in HD. Audio recordings of six narrative tasks (cookie-theft picture description, ...
CaMKIIα is a central regulator of synaptic plasticity and memory, and its pathological overactivation has been strongly linked to neurodegenerative an...
This study introduces a deep learning framework for the inferential exploration of latent representations in 3D brain MRI, leveraging a simple convolu...
Parkinson's disease (PD) is a progressive neurodegenerative disorder with significant variability associated with substantial loss of dopaminergic neu...
Mild Cognitive Impairment (MCI) involves cognitive decline beyond age-expected norms without impairing daily function. Crucially, it often precedes de...
Retinotopic tuning of neural populations is a key organizing principle of human visual cortex. However, state-of-the-art models that predict neural re...
BACKGROUND: Hip fractures are a major global health issue with high mortality and morbidity, especially in older adults. One-year mortality post-surge...
Infants learn through everyday interactions with the physical and social environment. For infants with cerebral palsy (CP), motor impairments may disr...
The lateral pelvis is a critical anatomical region in colorectal, gynecological, and urological surgeries. However, its anatomical complexity and vari...
Loneliness and social isolation are important psychosocial concerns in dementia care, but they are difficult to address through pharmacological treatm...
OBJECTIVES: To develop and evaluate an automated deep learning framework for scoliosis detection from spinal radiographs and to compare the performanc...
Objective: To assess the value of a deep learning-based visual model for predicting postoperative upper limb functional recovery after severe acute ce...
The brain morphological connectome derived from structural MRI reflects inter-regional morphological relationships, providing a powerful representatio...
Identifying biomarkers for serious mental illnesses (SMI) has significant implications for early intervention and prevention. The current study uses m...
Early diagnosis and early intervention are important in the treatment of epilepsy, so detecting epileptic seizures from EEG signal is very important. ...
BACKGROUND: Postoperative cerebral infarction (POCI) is an uncommon but potentially fatal complication of major non-cardiac surgery and is associated ...
Alzheimer's Disease (AD) is a degenerative neurological condition characterized by memory loss, cognitive deterioration, and brain tissue shrinkage. D...
Recurrent ischemic stroke remains a major global health challenge, accounting for substantial disability and mortality despite advances in acute manag...
Lipids are fundamental biomolecules that regulate cellular structure, energy metabolism, and signaling, and their dysregulation is increasingly implic...