Neurology

Deformation-Adaptive Hybrid Triboelectric-Piezoelectric Nanogenerator for Wearable Muscle Monitoring and Human-Machine Interaction.

Wearable systems for real-time and long-term musculoskeletal monitoring are increasingly required as shoulder-neck disorders and upper-arm injuries become more prevalent in aging and sedentary populations. However, achieving stable signal acquisition under complex deformation remains a critical challenge for existing sensing technologies. Here, we report a fully stretchable triboelectric-piezoelec...

Bioengineered Interfaces for Peripheral Nerve Sensory Restoration.

Peripheral nerve injuries (PNIs) severely impair motor and sensory function, diminishing patient independence and quality of life. Despite decades of research, rehabilitation has prioritized motor recovery and residual function over the sensory restoration essential for embodiment, intuitive control, and natural movement. This lack of feedback drives poor prosthetic integration, high cognitive dem...

Perceived communication quality of a standardized neuroradiology report following AI-based simplification: a randomized, blinded study.

OBJECTIVES: Radiology reports are primarily written for professional communication and may be difficult for patients to understand. We investigated wh...

A comparative study of vision transformer architectures for the detection of Alzheimer's disease using magnetic resonance images.

Alzheimer's disease is a neurodegenerative disease that affects millions of people worldwide. With the increasing global elderly population, early and...

Dementia Etiology Diagnosis via Collaborative Meta Knowledge Enhancement.

Although artificial intelligence (AI) has shown promising performance in several medical tasks, accurate dementia etiology diagnosis with AI remains c...

LD-CNN19: A Deep Learning Model Integrating Logical Reasoning and Knowledge Expansion for Small-Sample Sleep Staging Tasks.

To address opaque decision-making and performance bottlenecks caused by limited samples and physiological heterogeneity in deep learning-based sleep s...

Improving respiratory and heart rate variation estimation from resting-state BOLD fMRI across the lifespan using a functionally informed, tissue-aware deep learning framework.

Accurate measurement of physiological signals such as respiration and cardiac activity is essential for modeling physiological confounds in BOLD-fMRI ...

Beyond the Black Box: Is Artificial Intelligence Ready to Reshape Neurosurgical Decision-Making? A Narrative Review.

BACKGROUND AND AIMS: Artificial intelligence (AI) is increasingly being integrated into neurosurgical practice, offering capabilities in diagnostic im...

Deep Learning Versus LASSO-Based Machine Learning for 1-Year Survival After Surgery for Spinal Metastases: A JASA Multicenter Prospective Cohort Analysis.

STUDY DESIGN: Multicenter prospective cohort study; secondary analysis. OBJECTIVE: To evaluate predictors associated with 1-year survival after surger...

Recent advances in MR neuroimaging: toward quantitative and AI-driven brain and spinal cord imaging.

Magnetic resonance neuroimaging is undergoing a major paradigm shift from traditional qualitative anatomical mapping toward integrated, quantitative m...

Transient Ischemic Attack Diagnosis using Explicit Criteria Outperforms Artificial Intelligence: a Prospective Cohort Study.

BACKGROUND: Diagnosing transient ischemic attacks (TIAs) remains challenging, particularly in primary care and emergency department settings where spe...

MTGNet: A task-oriented and spectrally guided framework for EEG denoising.

Electroencephalography (EEG) is widely used in brain-computer interfaces (BCIs), but its microvolt-level signals are easily contaminated by electromyo...

Clinical significance of lncRNA-miRNA axes in ischemic stroke: Diagnostic value, prognostic relevance, and therapeutic potential.

Ischemic stroke and subsequent reperfusion injury are major causes of mortality and long-term neurological disability, driven by complex mechanisms of...

Associations between human oxytocin receptor gene promoter DNA methylation and brain structural connectome in panic disorder in Korea.

AIMS: Epigenetic regulation of the oxytocin receptor gene (OXTR), particularly DNA methylation (DNAm), has been linked to insecure attachment, anxiety...

Decoding Sleep Architecture from Ambulatory Basal Ganglia Signals in Parkinson's Disease.

BACKGROUND: Sleep architecture and circadian rhythms are frequently disrupted in Parkinson's disease (PD). BrainSense-enabled neurostimulators combine...

tDCS synchronous robotic training on lower-limb with post-stroke hemiplegia: a comparative study between synchronous and sequential group.

BACKGROUND: This study was aimed to compare the effects of tDCS synchronized with robotic training(RT)and tDCS sequential followed by RT on lower-limb...

[A method for predicting neurological outcomes after cardiac arrest based on time-frequency domain feature fusion].

Accurate neurological outcome assessment after cardiac arrest is critical for clinical diagnosis and treatment. Existing electroencephalogram (EEG) pr...

[Personalized lower-limb gait assessment method based on musculoskeletal modeling and machine learning].

To address the issues of insufficient objectivity and difficulty in locating muscle dysfunction in current lower-limb gait assessment methods, this pa...

Predicting Nitrogen Narcosis Using the Electroencephalogram (EEG) Recorded From Experienced Divers.

Nitrogen narcosis causes acute cognitive impairment in divers breathing compressed air at depth, increasing injury and fatality risk. Susceptibility v...

A novel EMG-driven neuromuscular context encoding framework for real-time exoskeleton reference trajectory generation.

Accurate intention-aware joint angle trajectory prediction from surface electromyography (sEMG) is central to responsive lower-limb exoskeleton refere...