AIMC Topic: Multiple System Atrophy
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Brain structural features with functional priori to classify Parkinson's disease and multiple system atrophy using diagnostic MRI.
Scientific reports
Jul 1, 2025
Clinical two-dimensional (2D) MRI data has seen limited application in the early diagnosis of Parkinson's disease (PD) and multiple system atrophy (MSA) due to quality limitations, yet its diagnostic and therapeutic potential remains underexplored. T...
Progression and natural history of Atypical Parkinsonism (ATPARK): Protocol for a longitudinal follow-up study from an underrepresented population.
PloS one
Jun 26, 2025
BACKGROUND: Atypical Parkinsonian Syndromes (APS) form the third largest group of neurodegenerative disorders including Progressive Supranuclear Palsy (PSP), Multiple System Atrophy (MSA), and Corticobasal Syndrome (CBS). These conditions are charact...
Differential diagnosis of multiple system atrophy with predominant parkinsonism and Parkinson's disease using neural networks (part II).
Journal of the neurological sciences
Jan 31, 2025
Neural networks (NNs) possess the capability to learn complex data relationships, recognize inherent patterns by emulating human brain functions, and generate predictions based on novel data. We conducted deep learning utilizing an NN to differentiat...
Automated analysis of spoken language differentiates multiple system atrophy from Parkinson's disease.
Journal of neurology
Jan 15, 2025
BACKGROUND AND OBJECTIVES: Patients with synucleinopathies such as multiple system atrophy (MSA) and Parkinson's disease (PD) frequently display speech and language abnormalities. We explore the diagnostic potential of automated linguistic analysis o...
Differentiating atypical parkinsonian syndromes with hyperbolic few-shot contrastive learning.
NeuroImage
Nov 24, 2024
Differences in iron accumulation patterns have been observed in susceptibility-weighted images across different classes of atypical parkinsonian syndromes (APS). Deep learning methods have shown great potential in automatically detecting these differ...
Automatic stridor detection using small training set via patch-wise few-shot learning for diagnosis of multiple system atrophy.
Scientific reports
Jul 5, 2023
Stridor is a rare but important non-motor symptom that can support the diagnosis and prediction of worse prognosis in multiple system atrophy. Recording sounds generated during sleep by video-polysomnography is recommended for detecting stridor, but ...
Deep learning segmentation results in precise delineation of the putamen in multiple system atrophy.
European radiology
May 1, 2023
OBJECTIVES: The precise segmentation of atrophic structures remains challenging in neurodegenerative diseases. We determined the performance of a Deep Neural Patchwork (DNP) in comparison to established segmentation algorithms regarding the ability t...
Decoding the dopamine transporter imaging for the differential diagnosis of parkinsonism using deep learning.
European journal of nuclear medicine and molecular imaging
May 19, 2022
PURPOSE: This work attempts to decode the discriminative information in dopamine transporter (DAT) imaging using deep learning for the differential diagnosis of parkinsonism.
Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study.
The Lancet. Digital health
Aug 27, 2019
BACKGROUND: Development of valid, non-invasive biomarkers for parkinsonian syndromes is crucially needed. We aimed to assess whether non-invasive diffusion-weighted MRI can distinguish between parkinsonian syndromes using an automated imaging approac...
Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study.
European radiology
Jul 1, 2019
OBJECTIVES: To evaluate the diagnostic performance of deep learning with the convolutional neural networks (CNN) to distinguish each representative parkinsonian disorder using MRI.
Supranuclear Palsy, Progressive
Parkinsonian Disorders
Proof of Concept Study
ROC Curve
Male
Female
Humans
Magnetic Resonance Imaging
Multiple System Atrophy
Middle Aged
Aged
Neural Networks, Computer
Parkinson Disease
Aged, 80 and over
Deep Learning
Retrospective Studies
Diagnosis, Differential
Adult
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