AIMC Topic: Parkinsonian Disorders
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Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal I-FP-CIT indices.
Journal of neurology
Apr 29, 2019
OBJECTIVES: To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.
Differential diagnosis of multiple system atrophy with predominant parkinsonism and Parkinson's disease using neural networks.
Journal of the neurological sciences
Apr 11, 2019
Differential diagnosis between Parkinson's disease (PD) and atypical parkinsonism, such as multiple system atrophy (MSA), can be difficult, especially in the early stages of the disease. Deep learning using neural networks (NNs) makes possible the pr...
Ultra-Low-Dose F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs.
Radiology
Dec 11, 2018
Purpose To reduce radiotracer requirements for amyloid PET/MRI without sacrificing diagnostic quality by using deep learning methods. Materials and Methods Forty data sets from 39 patients (mean age ± standard deviation [SD], 67 years ± 8), including...
Implementation of deep neural networks to count dopamine neurons in substantia nigra.
The European journal of neuroscience
Sep 20, 2018
Unbiased estimates of neuron numbers within substantia nigra are crucial for experimental Parkinson's disease models and gene-function studies. Unbiased stereological counting techniques with optical fractionation are successfully implemented, but ar...
Multi-class parkinsonian disorders classification with quantitative MR markers and graph-based features using support vector machines.
Parkinsonism & related disorders
Nov 28, 2017
BACKGROUND AND PURPOSE: In this study we attempt to automatically classify individual patients with different parkinsonian disorders, making use of pattern recognition techniques to distinguish among several forms of parkinsonisms (multi-class classi...
A Machine Learning Approach to Automated Gait Analysis for the Noldus Catwalk System.
IEEE transactions on bio-medical engineering
Aug 24, 2017
OBJECTIVE: Gait analysis of animal disease models can provide valuable insights into in vivo compound effects and thus help in preclinical drug development. The purpose of this paper is to establish a computational gait analysis approach for the Nold...
Efficient implementation of a real-time estimation system for thalamocortical hidden Parkinsonian properties.
Scientific reports
Jan 9, 2017
Real-time estimation of dynamical characteristics of thalamocortical cells, such as dynamics of ion channels and membrane potentials, is useful and essential in the study of the thalamus in Parkinsonian state. However, measuring the dynamical propert...
Differentiating Treatment-Resistant Depression With and Without Parkinsonism in the Elderly From a Psychiatric Perspective by Tc-TRODAT-1 SPECT Imaging.
International journal of geriatric psychiatry
Jun 1, 2025
OBJECTIVES: Late-life depression often overlaps with neurodegenerative diseases leading to diagnostic and treatment challenges for neuropsychiatrists. This study aimed to differentiate elderly treatment-resistant depression (TRD) comorbid with parkin...
Aged, 80 and over
Male
Middle Aged
Case-Control Studies
Tomography, Emission-Computed, Single-Photon
Dopamine Plasma Membrane Transport Proteins
Humans
Diagnosis, Differential
Tropanes
Depressive Disorder, Treatment-Resistant
Machine Learning
Radiopharmaceuticals
Organotechnetium Compounds
Parkinsonian Disorders
Female
Corpus Striatum
Aged
Automated Imaging Differentiation for Parkinsonism.
JAMA neurology
May 1, 2025
IMPORTANCE: Magnetic resonance imaging (MRI) paired with appropriate disease-specific machine learning holds promise for the clinical differentiation of Parkinson disease (PD), multiple system atrophy (MSA) parkinsonian variant, and progressive supra...
A 3D Deep Residual Convolutional Neural Network for Differential Diagnosis of Parkinsonian Syndromes on F-FDG PET Images.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Idiopathic Parkinsons disease and atypical parkinsonian syndromes have similar symptoms at early disease stages, which makes the early differential diagnosis difficult. Positron emission tomography with F-FDG shows the ability to assess early neurona...
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