Latest AI and machine learning research in neurology for healthcare professionals.
OBJECTIVE: The objective of this work is the development of an accurate seizure forecasting algorithm that considers brain's functional connectivity for electrode selection.
A better understanding of the neural substrates that underlie motor recovery after stroke has led to the development of innovative rehabilitation strategies and tools that incorporate key elements of motor skill relearning, that is, intensive motor training involving goal-oriented repeated movements. Robotic devices for the upper limb are increasingly used in rehabilitation. Studies have demonstra...
Dopaminergic degeneration is a pathologic hallmark of Parkinson's disease (PD), which can be assessed by dopamine transporter imaging such as FP-CIT S...
Impaired confrontation naming is a common symptom of temporal lobe epilepsy (TLE). The neurobiological mechanisms underlying this impairment are poorl...
BACKGROUND: Socially assistive robots are increasingly used as a therapeutic tool for people with dementia, as a means to improve quality of life thro...
As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last majo...
BACKGROUND: Spasticity is a muscle disorder associated with upper motor neuron syndrome occurring in neurological disorders, such as stroke, multiple ...
Recognition of epileptic seizures from offline EEG signals is very important in clinical diagnosis of epilepsy. Compared with manual labeling of EEG s...
Researchers classify critical neural events during sleep called spindles that are related to memory consolidation using the method of scalp electroenc...
BACKGROUND: The morphometric analysis of myelinated nerve fibers of peripheral nerves in cross-sectional optical microscopic images is valuable. Sever...
PURPOSE: Artificial neural networks (ANN) are increasingly applied to complex medical problem solving algorithms because their outcome prediction perf...
Neural cells are the smallest building blocks of the central and peripheral nervous systems. Information in neural networks and cell-substrate interac...
Advances in neural interfaces have demonstrated remarkable results in the direction of replacing and restoring lost sensorimotor function in human pat...
BACKGROUND: Spinal anesthesia is the method of choice for most elective and emergency Cesarean sections. To increase the duration of anesthesia and im...
INTRODUCTION: Stroke is a multifactorial and heterogeneous disorder, correlates with heritability and considered as one of the major diseases. The pri...
PURPOSE: To examine whether children with or without cerebral palsy (CP) would follow a humanoid robot's (i.e., Darwin) feedback to move their arm fas...
This paper presents a wearable electrophysiological interface with enhanced immunity to motion artifacts. Anti-artifact schemes, including a patch-typ...
BACKGROUND: Epidural anesthesia is widely used for postoperative analgesia and rarely causes permanent neurological complications. We report a case of...
Traditionally, automatic sleep stage classification is quite a challenging task because of the difficulty in translating open-textured standards to ma...
BACKGROUND: Although studies have supported the utility of perioperative continuation of antiplatelet drugs, vasodilators, and cerebral ameliorators i...