Magnetic resonance imaging for the diagnosis of Parkinson's disease

B Heim, F Krismer, R De Marzi, K Seppi - Journal of neural transmission, 2017 - Springer
The differential diagnosis of parkinsonian syndromes is considered one of the most
challenging in neurology and error rates in the clinical diagnosis can be high even at …

Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson's disease

J Zhang - npj Parkinson's Disease, 2022 - nature.com
Parkinson's disease (PD) is a common, progressive, and currently incurable
neurodegenerative movement disorder. The diagnosis of PD is challenging, especially in …

Deep learning based diagnosis of Parkinson's disease using convolutional neural network

S Sivaranjini, CM Sujatha - Multimedia tools and applications, 2020 - Springer
Parkinson's disease is the second most common degenerative disease caused by loss of
dopamine producing neurons. The substantia nigra region is deprived of its neuronal …

A survey of deep learning techniques based Parkinson's disease recognition methods employing clinical data

A ul Haq, JP Li, BLY Agbley, CB Mawuli, Z Ali… - Expert Systems with …, 2022 - Elsevier
Parkinson's disease (PD) is a critical neurological ailment that affects millions of individuals
worldwide. A correct diagnosis of Parkinson's disease is required for effective treatment …

Efficient detection of Parkinson's disease using deep learning techniques over medical data

L Sahu, R Sharma, I Sahu, M Das, B Sahu… - Expert …, 2022 - Wiley Online Library
Parkinson's disease is a degenerative disease that leads to brain disorder and
nonfunctioning of different body parts. Deep learning tools like artificial neural network …

[HTML][HTML] The volumetric and shape changes of the putamen and thalamus in first episode, untreated major depressive disorder

Y Lu, H Liang, D Han, Y Mo, Z Li, Y Cheng, X Xu… - NeuroImage: Clinical, 2016 - Elsevier
Previous MRI studies confirmed abnormalities in the limbic-cortical-striatal-pallidal-thalamic
(LCSPT) network or limbic-cortico-striatal-thalamic-cortical (LCSTC) circuits in patients with …

Cortical and subcortical gray matter bases of cognitive deficits in REM sleep behavior disorder

S Rahayel, RB Postuma, J Montplaisir… - Neurology, 2018 - AAN Enterprises
Objective To investigate cortical and subcortical gray matter abnormalities underlying
cognitive impairment in patients with REM sleep behavior disorder (RBD) with or without …

MRI biomarkers of motor and non-motor symptoms in Parkinson's disease

SG Ryman, KL Poston - Parkinsonism & related disorders, 2020 - Elsevier
Parkinson's disease is a heterogeneous disorder with both motor and non-motor symptoms
that contribute to functional impairment. To develop effective, disease modifying treatments …

Multimodal MRI assessment of nigro‐striatal pathway in multiple system atrophy and Parkinson disease

G Barbagallo, M Sierra‐Peña, F Nemmi… - Movement …, 2016 - Wiley Online Library
Background Parkinson's disease (PD) and multiple system atrophy (MSA) are two
neurodegenerative alpha‐synucleinopathies characterized by severe impairment of the …

Gray Matter Volume Loss in Proposed Brain‐First and Body‐First Parkinson's Disease Subtypes

M Banwinkler, V Dzialas… - Movement …, 2022 - Wiley Online Library
Background α‐Synuclein pathology is associated with neuronal degeneration in Parkinson's
disease (PD) and considered to sequentially spread across the brain (Braak stages) …