Neurology

An explainable predictive machine learning model of oxaliplatin induced peripheral neuropathy based on clinical data: a retrospective single center.

BACKGROUND: Oxaliplatin (OXA) is widely used in the treatment of gastrointestinal malignancies such as colorectal cancer. However, oxaliplatin-induced peripheral neuropathy (OIPN) is a common and distinctive adverse effect, with a high incidence rate. Characterized by numbness and paresthesia in the extremities, OIPN is dose-limiting, often irreversible, and significantly impacts patients' quality...

Preoperative hypoalbuminemia predicts early complications, mortality, and discharge disposition following surgical resection of spinal metastases: a nationwide study.

PURPOSE: Patients undergoing surgery for spinal metastases often have limited physiologic reserve. Although hypoalbuminemia is a recognized risk marker, its graded association with short-term postoperative outcomes and discharge disposition has not been well defined in large national cohorts. We evaluated the relationship between preoperative serum albumin and early postoperative outcomes followin...

An MRI-based radiomics model for precision subtyping of hereditary spastic paraplegia: discriminating SPG4 from SPG5.

BACKGROUND: Differentiating spastic paraplegia type 4 (SPG4) from type 5 (SPG5) is clinically relevant with differing therapeutic strategies, yet gene...

Integrating weighted gene co-expression network analysis and machine learning reveal that NDUFA4L2 alleviates KA-induced HT22 cell neurotoxicity, apoptosis, oxidative stress, and mitochondrial dysfunction.

Temporal lobe epilepsy (TLE) is one of the most common types of epilepsy, with frequent seizures often leading to cognitive, emotional, and psychiatri...

Deep learning based depth of anaesthesia monitoring using EEG: a 4-layer CNN model with PSD and BSR correlation features.

Monitoring the depth of anaesthesia (DoA) through electroencephalogram (EEG) analysis plays a major role in maintaining patient safety and guiding opt...

Machine Learning and AI Applied to fNIRS Data Reveals Novel Brain Activity Biomarkers in Stable Subclinical Multiple Sclerosis.

People with Multiple Sclerosis (MS) complain of problems with hand dexterity and cognitive fatigue. However, in many cases, impairments are subtle and...

Short-term effects of ocrelizumab on cortical pathology in patients with multiple sclerosis.

Cortical lesions (CLs) are a common finding in multiple sclerosis (MS) but data regarding the impact of treatment on their evolution are lacking. This...

High-risk carotid plaque detection using a novel radio-morphometric analysis of the carotid bifurcation.

Current surgical eligibility criteria for the treatment of carotid artery disease, primary relying on stenosis and image plaque characteristics, are s...

A multimodal epilepsy dataset of paired 3-Tesla and 7-Tesla MRI and intracranial EEG.

There is an increasing need to integrate multimodal datasets in epilepsy research, particularly to correlate electrophysiology with imaging in patient...

Intelligent Parkinson's disease identification via Residual-Shuffle Network optimized by Improved Dandelion Optimizer.

Parkinson's disease (PD) presents significant challenges due to its intricate symptoms and often delayed diagnosis. Therefore, early detection is vita...

Prevalence and a LASSO-derived prediction model for screening-positive mild cognitive impairment among older adults in Wuhan.

This study aimed to investigate the prevalence of screening-positive mild cognitive impairment (s-MCI) and to develop a parsimonious prediction model ...

Cervical musculoskeletal function is variable in tension-type headache: A cluster analysis.

OBJECTIVES: This study was conducted to (1) consider the causes of neck pain in tension-type headache (TTH) by investigating how the patients with TTH...

Can AI applied on MRI reliably predict shunt response in INPH? A comprehensive exploration of deep learning and radiomics approaches using preoperative MRI.

OBJECTIVE: Idiopathic normal pressure hydrocephalus (INPH) is a treatable neurological condition, yet predicting which patients will benefit from a ce...

Association of somatosensory evoked potentials with cervical spinal cord atrophy and disability progression in multiple sclerosis.

OBJECTIVES: Somatosensory evoked potentials (SEP) reflect functional integrity of sensory pathways and may predict disability progression in multiple ...

BIDS-formatted resting-state and loudness dependence of auditory evoked potentials (LDAEP) EEG dataset from healthy women.

Here, we describe a publicly available electroencephalography (EEG) dataset recorded from 69 healthy women (aged 19-40). Data were acquired using a 64...

Quality and Readability of ChatGPT Performance on Parkinson's Disease.

BACKGROUND: Chat Generative Pre-trained Transformer (ChatGPT) is increasingly used for medical education and healthcare counseling. OBJECTIVE: To eval...

Voice-Based Parkinson's Disease Diagnosis: A Data-Augmented Study of Deterministic and Stochastic Feature Selection Methods.

INTRODUCTION: Voice analysis is a promising method for diagnosing Parkinson's disease (PD); however, two major obstacles stand in the way of its clini...

Development and internal validation of a clinical prediction model for hemodialysis-related headache using LASSO and Boruta feature selection.

A common neurological symptom in dialysis patients is hemodialysis-related headache (HRH), which can result in premature hemodialysis termination and ...

Measurement fidelity, not model complexity, governs individual cognitive trajectory prediction in Parkinson's disease.

Whether individual-level cognitive trajectories in Parkinson's disease are predictable remains unresolved. Here, we provide convergent evidence that m...

Association of Staphylococcus aureus bloodstream infection with 7-day incident delirium in critically Ill adults: a propensity-weighted competing risk analysis.

BACKGROUND: Delirium is a frequent manifestation of acute brain dysfunction in critically ill patients with bloodstream infections (BSI). While the as...