Machine learning for the diagnosis of Parkinson's disease: a review of literature

J Mei, C Desrosiers, J Frasnelli - Frontiers in aging neuroscience, 2021 - frontiersin.org
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …

The impact of artificial intelligence in the odyssey of rare diseases

A Visibelli, B Roncaglia, O Spiga, A Santucci - Biomedicines, 2023 - mdpi.com
Emerging machine learning (ML) technologies have the potential to significantly improve the
research and treatment of rare diseases, which constitute a vast set of diseases that affect a …

Sensitivity and specificity of a seed amplification assay for diagnosis of multiple system atrophy: a multicentre cohort study

Y Ma, CM Farris, S Weber, S Schade… - The Lancet …, 2024 - thelancet.com
Background The pathological hallmarks of multiple system atrophy and Parkinson's disease
are, respectively, misfolded-α-synuclein-laden glial cytoplasmic inclusions and Lewy bodies …

Multiple system atrophy

W Poewe, I Stankovic, G Halliday… - Nature reviews Disease …, 2022 - nature.com
Multiple system atrophy (MSA) is a rare neurodegenerative disease that is characterized by
neuronal loss and gliosis in multiple areas of the central nervous system including …

Use of machine learning method on automatic classification of motor subtype of Parkinson's disease based on multilevel indices of rs-fMRI

HZ Pang, ZY Yu, HM Yu, JB Cao, YM Li, MR Guo… - Parkinsonism & Related …, 2021 - Elsevier
Objective This study aimed to develop an automatic classifier to distinguish different motor
subtypes of Parkinson's disease (PD) based on multilevel indices of resting-state functional …

Cerebrospinal fluid metabolome in Parkinson's disease and multiple system atrophy

DH Kwon, JS Hwang, SG Kim, YE Jang… - International Journal of …, 2022 - mdpi.com
Parkinson's disease (PD) and multiple system atrophy (MSA) belong to the
neurodegenerative group of synucleinopathies; differential diagnosis between PD and MSA …

Radiomics on routine T1-weighted MRI can delineate Parkinson's disease from multiple system atrophy and progressive supranuclear palsy

P Tupe-Waghmare, A Rajan, S Prasad, J Saini… - European …, 2021 - Springer
Objectives This study aimed to explore the feasibility of radiomics features extracted from T1-
weighted MRI images to differentiate Parkinson's disease (PD) from atypical parkinsonian …

Multimodal striatal neuromarkers in distinguishing parkinsonian variant of multiple system atrophy from idiopathic Parkinson's disease

H Pang, Z Yu, H Yu, M Chang, J Cao… - CNS Neuroscience …, 2022 - Wiley Online Library
Aims To develop an automatic method of classification for parkinsonian variant of multiple
system atrophy (MSA‐P) and Idiopathic Parkinson's disease (IPD) in early to moderately …

Cerebellar microstructural abnormalities in Parkinson's disease: a systematic review of diffusion tensor imaging studies

M Haghshomar, P Shobeiri, SA Seyedi… - The Cerebellum, 2022 - Springer
Diffusion tensor imaging (DTI) is now having a strong momentum in research to evaluate the
neural fibers of the CNS. This technique can study white matter (WM) microstructure in …

Impaired structural connectivity in Parkinson's disease patients with mild cognitive impairment: a study based on probabilistic tractography

A Inguanzo, B Segura, R Sala-Llonch… - Brain …, 2021 - liebertpub.com
Background: Probabilistic tractography, in combination with graph theory, has been used to
reconstruct the structural whole-brain connectome. Threshold-free network-based statistics …