Neurology

BiGSTF-Net: inter-modal mutual guidance and intra-modal spatio-temporal fusion for EEG-fNIRS cognitive classification.

Objective.Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) provide complementary temporal and spatial information for brain-computer interfaces (BCIs). However, effectively exploiting this complementarity remains challenging due to the heterogeneous characteristics of electrophysiological and hemodynamic signals.Approach.In this study, we propose Bi-modal Guidance and...

Evaluating the performance of EEG based on ANN to predict the effectiveness of tDCS combined evaluative conditioning on obsession symptoms reduction in contamination OCD patients: Secondary analysis of data from a randomized controlled trial.

Over 40% of Obsessive-Compulsive Disorder (OCD) patients do not respond to common treatments. This study was a secondary analysis of data from a randomized controlled trial, for predictability of effectiveness of Transcranial Direct Current Stimulation (tDCS) with Contamination-Based OCD (C-OCD) using artificial neural networks (ANN) and electroencephalography (EEG) signals. Out of 54 C-OCD patien...

How Social Media Analysis Offers an Opportunity to Understand the Reality of People Living With Multiple Sclerosis: Descriptive French Study.

BACKGROUND: Multiple sclerosis (MS) is a chronic neurological disease that starts in young adulthood and can significantly affect quality of life (QoL...

Machine learning-based GA optimization of lumbar intervertebral disc FE models: Comparison with RSM and experimental data.

Finite element (FE) models are widely used to investigate the mechanical behaviour of the human Intervertebral Disc (IVD), but their predictive capabi...

Automated segmentation of postsurgical resection cavities on magnetic resonance imaging in focal epilepsy: A Multicentre Epilepsy Lesion Detection study.

OBJECTIVE: Quantitative assessment of extent of tissue resection following epilepsy surgery requires accurate delineation of the resection cavity on p...

The genetic architecture of epilepsy across molecular mechanisms and clinical heterogeneity.

Epilepsy comprises a highly heterogeneous group of neurological disorders unified by a persistent predisposition to recurrent seizures, yet driven by ...

A data-driven approach to define the stages and patterns of neurological recovery after traumatic spinal cord injury.

BACKGROUND: Recovery after spinal cord injury (SCI) follows a complex and variable trajectory, yet the field lacks clear, data-driven definitions of t...

Analysis and Applications of Neuromorphic Memristors in Artificial Intelligence Computing.

Artificial intelligence (AI) has advanced rapidly in recent years and has been widely applied in healthcare, intelligent sensing, machine perception, ...

MDAGCN: A multimodal dynamic adaptive graph convolutional network for sleep staging.

Existing deep-learning-based sleep staging frameworks frequently rely on shared multimodal feature extractors, which may overlook modality-specific di...

SCRIB is a Shared Transcriptomic Biomarker Candidate Linking Cardioembolic Stroke and Alzheimer's Disease.

Acute ischemic stroke is a major cause of death and disability, and post-stroke cognitive impairment remains a major clinical challenge. Cardioembolic...

Deep Learning-Based Automated Clinical Gait Assessment From Kinematic Data in People With Stroke: Development and Validation Study.

BACKGROUND: Gait impairment is a prevalent sequela of stroke. Although observational gait analysis remains a standard clinical practice for assessing ...

Carboxyl-terminal blockade of sortilin binding enhances progranulin gene therapy in a mouse model of frontotemporal dementia.

Frontotemporal dementia is commonly caused by loss-of-function mutations in the progranulin gene. Potential therapies for this disorder have entered c...

Brain network biomarkers for diagnosis and clinical stratification in multiple sclerosis: a longitudinal study integrating individualised structural covariance MRI with high-density EEG.

BACKGROUND: Multiple sclerosis (MS) is increasingly recognised as a disorder of large-scale brain network reorganisation rather than a disease explain...

Sleep dynamics and epileptogenesis following Kainic acid in epilepsy-susceptible (DBA/2 J) and epilepsy-resistant (C57BL/6) mice.

Susceptibility to epileptogenesis varies in humans and mouse strains. We hypothesized that baseline sleep abnormalities increase susceptibility to epi...

Hydrogen sulfide ameliorates cognitive dysfunction in diabetic encephalopathy by activating PI3K/AKT/GSK-3β signaling to attenuate tau hyperphosphorylation and necroptosis.

Diabetic encephalopathy (DE) is a serious complication of diabetes mellitus characterized by progressive cognitive dysfunction; but its underlying mec...

AI-assisted FTIR spectroscopic profiling of exosomes: Emerging frontiers in early detection of Alzheimer's disease.

Alzheimer's disease (AD) remains one of the most challenging neurodegenerative disorders, primarily due to the lack of reliable tools for its early an...

Structural Connectivity Alterations Within Frontal Subregions in Parkinson's Disease: Implications for Motor Dysfunction.

RATIONALE AND OBJECTIVES: Parkinson's disease (PD) is characterized by disrupted basal ganglia-thalamo-cortical connectivity, yet how frontal network ...

Artificial Intelligence Analysis of Standard 12-Lead Electrocardiograms for Screening of Symptomatic Diabetic Peripheral Neuropathy.

AIM: To investigate whether artificial intelligence (AI) models trained on standard 12-lead electrocardiograms (ECG) can identify symptom-defined diab...

An artificial intelligence-driven workflow to detect the macula and quantify retinal ganglion cells in nonhuman primates.

The retinal ganglion cell layer integrates and transmits stimuli from photoreceptors to the central nervous system. Retinal ganglion cell loss is a ha...

Automatic MRI-Based segmentation of ablation zones in spine and liver: A comparative study of network performance and influencing factors.

PURPOSE: Ablation therapies are a treatment option for cancer patients, particularly for conditions such as spinal metastases and liver tumors. Precis...