Article

Explainable 3D CNNs link regional and network level disruption in early Parkinson’s MRIs to symptom progression

2025-11-18

Abstract excerpt

Parkinson’s Disease (PD) is a progressive neurodegenerative disorder affecting approximately 1% of the population over 65. Clinical diagnosis typically depends on tracking gradually developing motor symptoms as the disease progresses, underscoring the need for early detection methods to aid intervention while symptoms are still minor. Inexpensive and widely available imaging modalities such as T1-weighted MRI (T1w...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 573d5529-8e4b-52e1-9b55-34b7da515e90
DOI: 10.1101/2025.11.17.688918

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Explainable 3D CNNs link regional and network level disruption in early Parkinson’s MRIs to symptom progressionDOI 10.1101/2025.11.17.688918Read

An explainable attention-based multimodal MRI framework for Parkinson’s disease classification: a pilot feasibility and internal validation studySemantic proximity Read

3D Convolutional Neural Networks for Classification of Alzheimer’s and Parkinson’s Disease with T1-Weighted Brain MRISemantic proximity Read

Deep learning classification of MRI differentiates brain changes in genetic and idiopathic Parkinson’s diseaseSemantic proximity Read

Prediction, prognosis and monitoring of neurodegeneration at biobank-scale via machine learning and imagingSemantic proximity Read

Multimodal CNN-PD: A Parkinson's Disease Diagnostics Framework Using Multimodal Convolutional Neural NetworkSemantic proximity Read

Comparison of Anatomical and Diffusion MRI for detecting Parkinson’s Disease using Deep Convolutional Neural NetworkSemantic proximity Read

Predicting Motor Trajectories and Mapping Progression Subtypes in Parkinson’s Disease via Structure–Function Neural Field Encoding and Multi-View RepresentationSemantic proximity Read

Connectome-based predictive modelling estimates individual cognitive status in Parkinson’s diseaseSemantic proximity Read

Activation maps of convolutional neural networks as a tool for brain degeneration tracking in early diagnosis of dementia in Parkinson's disease based on magnetic resonance imagingSemantic proximity Read

Predicting Dementia Severity by Merging Anatomical and Diffusion MRI with Deep 3D Convolutional Neural NetworksSemantic proximity Read

Differential Diagnosis of Cognitive Disorders using Deep Learning Techniques based on Neuroimaging DataSemantic proximity Read

Neuropathologically validated MRI to tau PET synthesis via Covariate-modulated attention networksSemantic proximity Read