Neurology

Latest AI and machine learning research in neurology for healthcare professionals.

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Spiking neural network decoders of finger forces from high-density intramuscular microelectrode arrays.

Assistive technologies for restoring naturalistic finger control require continuous and robust decod...

Jun 2026 42342667
Discrete Wavelet Convolution for Learnable Time-Frequency Representation with Application to Seizure Prediction.

Accurate and adaptive time-frequency representation is essential for analyzing nonstationary signals...

(3)
Jun 2026 42333671
Metabolomic signatures of brain aging: A multimodal and genetic study.

Accelerated brain aging is increasingly recognized as a transdiagnostic risk factor for neuropsychia...

(2)
Jun 2026 42337012
6PPD-quinone exposure and Alzheimer's disease: insights from integrative network pharmacology, transcriptomics, machine learning, and molecular docking.

OBJECTIVES: To systematically investigate the molecular associations between 6PPD-quinone (6PPD-Q), ...

(1)
Jun 2026 42344865
FEDI-CODE: A federated and causally-informed framework for dementia risk prediction using multi-site patient data.

Early detection of dementia is critical for timely intervention and disease management, yet it remai...

Jun 2026 42340990
Spectral super-resolution for Parkinson's voice via representation-level methods under mixed-reality acquisition.

BACKGROUND AND OBJECTIVES: Voice is a practical remote biomarker for Parkinson's disease (PD), but r...

(2)
Jun 2026 42361702
Beyond the LUMIR challenge: The pathway to foundational registration models.

Medical image challenges have played a transformative role in advancing the field, catalyzing innova...

Jun 2026 42361771
Multi-strategy investigation identifies amentoflavone as a novel D3R antagonist for Parkinson's disease treatment.

BACKGROUND: Parkinson's disease (PD) still lacks therapies that can simultaneously improve symptoms ...

Jun 2026 42365694
Retinal Vessel Traits and the Risk of Stroke: The Canadian Longitudinal Study on Aging.

PURPOSE: Retinal vascular changes could serve as an early, easily visible indicator of cerebrovascul...

Jun 2026 42564809
CT-based automatic segmentation of key CSF regions for detecting disproportionately enlarged subarachnoid space hydrocephalus.

BACKGROUND: Disproportionately enlarged subarachnoid space hydrocephalus (DESH) is a characteristic ...

(1)
Jun 2026 42337617
Outer nuclear layer thinning as an in vivo biomarker for discriminating probable FTLD-tau from probable FTLD-TDP with PET-supported subtyping.

BACKGROUND AND OBJECTIVES: Outer nuclear layer (ONL) thinning has been identified in frontotemporal ...

(2)
Jun 2026 42337644
Are patient-derived models of amyotrophic lateral sclerosis a game changer for novel drug discovery?

INTRODUCTION: ALS drug discovery has long depended on model systems that incompletely capture human ...

Jun 2026 42337904
Aggression in epilepsy and sleep: from historical accounts to brain networks and human behaviour.

For a long time, epilepsy has been associated with violent behaviour, acquiring a highly stigmatisin...

Jun 2026 42334378
CTE has multiple pathologic variants that might relate to different clinical symptom presentation.

Chronic traumatic encephalopathy (CTE) is a progressive neurodegenerative disease found in individua...

Jun 2026 42334639
GaitNet: Transfer Learning-Enhanced CNN-GRU Architecture for Intention Detection in Healthy and Post-Stroke Participants.

Highly accurate, data-efficient, and real-time detection of human motion intention is essential for ...

Jun 2026 42335064
Noninvasive Electrophysiological Biomarkers of Olfactory Responses Across Cognitive States in Alzheimer Dementia: Cross-Sectional Study.

BACKGROUND: Alzheimer disease (AD) is characterized by progressive cognitive decline, with olfactory...

(1)
Jun 2026 42335456
Online decoding of rat self-paced locomotion speed from EEG using recurrent neural networks.

OBJECTIVE: Accurate and reliable neural decoding of locomotion holds promise for advancing clinical ...

Jun 2026 42335929
Machine Learning-Based Prognostic Models for Functional Outcomes in Spinal Cord Injury: Systematic Review.

BACKGROUND: Machine learning is increasingly used to develop prognostic prediction models for spinal...

Jun 2026 42336353
A machine learning framework for multimodal temporal prediction of neurological outcome after out-of-hospital cardiac arrest.

Neurological prognostication after out-of-hospital cardiac arrest (OHCA) remains challenging. Existi...

Jun 2026 42336956
An interpretable machine learning model for diabetic foot risk classification in patients with diabetes.

Diabetic foot is a severe chronic complication of diabetes, mainly resulting from peripheral neuropa...

Jun 2026 42336969
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