Neurology

Lightweight Seizure Prediction Model based on Kernel-Enhanced Global Temporal Attention.

Clinically, epilepsy manifests as a chronic condition marked by unprovoked, recurrent seizures, plaguing over 70 million individuals with debilitating seizures and life-threatening complications. Approximately 30% of patients with epilepsy do not respond to conventional antiepileptic drugs, indicating the limited efficacy of these medications in controlling seizures universally. Therefore, seizure...

Multimodal-based deep learning detected disrupted precuneus connectivity and its related genetic profiles for predicting adults with ADHD.

BACKGROUND: Integrating neuroimaging genetics data may enhance the diagnosis and understanding of adults with attention-deficit/hyperactivity disorder (ADHD). Here, we employed a population-based graph convolutional network (GCN) model based on multimodal data for predicting adults with ADHD, and performed downstream analyses to elucidate the related pathophysiology. METHODS: Functional MRI and ge...

The Influence of Sport Representation and Attitudes Toward Strength Training on Neuromuscular Performance Profiles in University Athletes: Part I Female Athletes.

McClean, ZJ, da Silva Torres, R, Herzog, W, Pasanen, K, Lun, V, Nimphius, S, and Jordan, MJ. The influence of sport representation and attitudes towar...

Toward Scalable Electromyography in Oncology: A Narrative Review of Normalization Challenges and Machine Learning Innovations.

OBJECTIVES: Electromyography (EMG) is increasingly applied in oncology to monitor neuromuscular impairment, treatment toxicities, and rehabilitation o...

Neurophysiological differentiation of Boder's dyslexia subtypes using harmonised quantitative EEG cross-spectra.

Developmental dyslexia is a heterogeneous disorder classically divided into distinct subtypes. Elena Boder's, 1973 model conceptualised reading and sp...

A comparative analysis of SCALE-CTP and RAPID in determining the affected brain volumes of patients with ischemic stroke.

BACKGROUND: Computed tomography perfusion (CTP) is widely used to treat acute strokes. The affected brain volume, measured based on the threshold valu...

Precision medicine in Moyamoya vasculopathy.

PURPOSE OF REVIEW: Moyamoya vasculopathy is a progressive cerebrovascular steno-occlusive disease with variable presentation. As revascularization tec...

Environmental exposures, epithelial barrier dysfunction, and the evolving landscape of allergic disorders and asthma.

PURPOSE OF REVIEW: Immediate hypersensitivity disorders, such as asthma, food intolerance, and anaphylaxis, have risen dramatically since the 20th cen...

Effects of Robot-Assisted Upper Extremity Training on Cognitive and Physical Functions in Patients With Stroke: A Randomized Controlled Study.

OBJECTIVE: Primary aim was to investigate the effects of upper extremity robot-assisted training, applied in addition to conventional rehabilitation p...

ELAI-SGCN: An explainable lightweight adaptive information-perceiving spiking graph convolutional network for EEG-based emotion recognition.

BACKGROUND: Emotion recognition is increasingly essential for diagnosing mental disorders like depression and anxiety. Electroencephalography (EEG) is...

Creating Virtual Stroke Networks: Current and Future Role of Artificial Intelligence, Mobile Imaging Applications, and Telehealth in Triage and Treatment of Acute Ischemic Stroke: A Scientific Statement From the American Heart Association: The American Academy of Neurology affirms the value of this statement as an educational tool for neurologists.

Rapid evaluation, triage, and transport of patients with stroke for thrombolytics, thrombectomy, and other acute treatments have become a vital part o...

Saccade Tasks: A Noninvasive Approach for Predicting Postoperative Delirium in Elderly Arthroplasty Patients.

BACKGROUND: Postoperative delirium (POD) is a prevalent complication in elderly surgical patients. It is associated with long-term cognitive impairmen...

Recognizing intentions with body segmental cues of gait cycles before direction change during continuous walking.

BACKGROUND: Gait intention is typically detected using electroencephalogram (EEG) and primarily focuses on recognizing the initiation of walking. Rece...

Artificial intelligence in the detection of multiple sclerosis plaques: Can it influence the treatment decision?

BACKGROUND AND PURPOSE: To monitor multiple sclerosis (MS) progression, follow-up MRIs are used to detect new or enlarging lesions (ELs), typically th...

Development of advanced lung cancer inflammation index-based machine learning models for predicting stroke and mortality: A comparative and interpretable study.

BACKGROUND: The Advanced Lung Cancer Inflammation Index (ALI) is a novel composite index that enables a more holistic evaluation of inflammation and n...

Interpretable Multiwavelength SERS Fingerprints of Human Urine for Ischemic Stroke Diagnosis.

Surface-enhanced Raman spectroscopy (SERS) can capture single-molecule-level component information from complex biological samples by providing their ...

One Hundred Years Later! The Current Utility of EEG Tools in Psychiatry: Some Insights and Perspectives.

ObjectiveSince the pioneering work of Hans Berger in 1929 introducing the utility of human electroencephanlography (EEG) in psychiatry, a considerable...

Gait analysis and prediction in Parkinson's disease using rhythmic auditory stimulation: A data-driven approach with machine learning models.

BACKGROUND: Gait disturbance is a core feature of Parkinson's disease (PD), contributing to mobility loss and fall risk. Rhythmic auditory stimulation...

The AENEAS Project: Intraoperative Anatomical Guidance Through Real-Time Landmark Detection Using Machine Vision.

OBJECTIVE: To investigate the performance of a deep learning machine vision-based model in identifying anatomical landmarks in a complex microsurgical...

Propagation mapping using iterative independent component analysis for seizure onset zone localization in temporal lobe epilepsy.

BACKGROUND: Epilepsy affects approximately 70 million people worldwide, with a third of them being drug-resistant and requiring surgical intervention....