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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 925-945 of 5,766 articles

Speech signals-based Parkinson's disease diagnosis using hybrid autoencoder-LSTM models.

Parkinson's disease (PD) is a neurodegenerative disorder that occurs as a result of a decrease in th...

Jul 2025 40418858

Brain Fractal Dimension and Machine Learning can predict first-episode psychosis and risk for transition to psychosis.

Although there are notable structural abnormalities in the brain associated with psychotic diseases,...

Jul 2025 40424766

Robust computation of subcortical functional connectivity guided by quantitative susceptibility mapping: An application in Parkinson's disease diagnosis.

Previous resting state functional MRI (rs-fMRI) analyses of the basal ganglia in Parkinson's disease...

Jul 2025 40347998

TextMesh4D: High-Quality Text-to-4D Mesh Generation

Recent advancements in diffusion generative models significantly advanced image, video, and 3D con...

Jun 2025 http://arxiv.org/abs/2506.24121v1

Three-dimensional end-to-end deep learning for brain MRI analysis

Deep learning (DL) methods are increasingly outperforming classical approaches in brain imaging, y...

Jun 2025 http://arxiv.org/abs/2506.23916v1

Disruption of parkinsonian brain oscillations

Deep brain stimulation (DBS) is an advanced surgical treatment for the symptoms of Parkinson's dis...

Jun 2025 http://arxiv.org/abs/2506.15384v1

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs

Large language models (LLMs) are often constrained by rigid reasoning processes, limiting their ab...

Jun 2025 http://arxiv.org/abs/2506.13192v1

Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates.

BACKGROUND: Despite prior studies on early-stage Parkinson's disease (PD) brain connectivity and tem...

Jun 2025 40274133

Parkinson's Disease Freezing of Gait (FoG) Symptom Detection Using Machine Learning from Wearable Sensor Data

Freezing of gait (FoG) is a special symptom found in patients with Parkinson's disease (PD). Patie...

Jun 2025 http://arxiv.org/abs/2506.12561v1

Active Learning-Guided Hit Optimization for the Leucine-Rich Repeat Kinase 2 WDR Domain Based on In Silico Ligand-Binding Affinities.

The leucine-rich repeat kinase 2 (LRRK2) is the most mutated gene in familial Parkinson's disease, a...

Jun 2025 40415386

Decoding the Structure-Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches.

Dysfunctions of the dopamine D2 and D3 receptors (D2 and D3) are implicated in neuropsychiatric cond...

Jun 2025 40442044

Evaluating the Effectiveness of Pre-Trained Audio Embeddings for Classification of Parkinson's Disease Speech Data

Speech impairments are prevalent biomarkers for Parkinson's Disease (PD), motivating the developme...

Jun 2025 http://arxiv.org/abs/2506.02078v1

Differentiating Treatment-Resistant Depression With and Without Parkinsonism in the Elderly From a Psychiatric Perspective by Tc-TRODAT-1 SPECT Imaging.

OBJECTIVES: Late-life depression often overlaps with neurodegenerative diseases leading to diagnosti...

Jun 2025 40445019

Neural Metabolic Networks: Key Elements of Healthy Brain Function.

Neural networks are responsible for processing sensory stimuli and driving the synaptic activity req...

Jun 2025 40454774

Computational screening of natural products as tryptophan 2,3-dioxygenase inhibitors: Insights from CNN-based QSAR, molecular docking, ADMET, and molecular dynamics simulations.

Parkinson's disease (PD) is characterised by a complex array of motor, psychiatric, and gastrointest...

Jun 2025 40233673

A new lightweight deep learning model optimized with pruning and dynamic quantization to detect freezing gait on wearable devices.

Freezing of gait (FoG) is a debilitating symptom of Parkinson's disease that severely impacts patien...

Jun 2025 40245688

On the Relevance of Clinical Assessment Tasks for the Automatic Detection of Parkinson's Disease Medication State from Speech

The automatic identification of medication states of Parkinson's disease (PD) patients can assist ...

May 2025 http://arxiv.org/abs/2505.15378v1

Neurology

Browse Categories

Speech signals-based Parkinson's disease diagnosis using hybrid autoencoder-LSTM models.

Brain Fractal Dimension and Machine Learning can predict first-episode psychosis and risk for transition to psychosis.

Robust computation of subcortical functional connectivity guided by quantitative susceptibility mapping: An application in Parkinson's disease diagnosis.

TextMesh4D: High-Quality Text-to-4D Mesh Generation

Three-dimensional end-to-end deep learning for brain MRI analysis

Disruption of parkinsonian brain oscillations

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs

Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates.

Parkinson's Disease Freezing of Gait (FoG) Symptom Detection Using Machine Learning from Wearable Sensor Data

Active Learning-Guided Hit Optimization for the Leucine-Rich Repeat Kinase 2 WDR Domain Based on In Silico Ligand-Binding Affinities.

Decoding the Structure-Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches.

Evaluating the Effectiveness of Pre-Trained Audio Embeddings for Classification of Parkinson's Disease Speech Data

Differentiating Treatment-Resistant Depression With and Without Parkinsonism in the Elderly From a Psychiatric Perspective by Tc-TRODAT-1 SPECT Imaging.

Neural Metabolic Networks: Key Elements of Healthy Brain Function.

Computational screening of natural products as tryptophan 2,3-dioxygenase inhibitors: Insights from CNN-based QSAR, molecular docking, ADMET, and molecular dynamics simulations.

A new lightweight deep learning model optimized with pruning and dynamic quantization to detect freezing gait on wearable devices.

Resting-state functional MRI metrics to detect freezing of gait in Parkinson's disease: a machine learning approach.

Explainable machine learning for movement disorders - Classification of tremor and myoclonus.

EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models

Literature review on assistive technologies for people with Parkinson's disease

On the Relevance of Clinical Assessment Tasks for the Automatic Detection of Parkinson's Disease Medication State from Speech

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