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 …

[HTML][HTML] From recognition to remedy: The significance of biomarkers in neurodegenerative disease pathology

C Toader, N Dobrin, FM Brehar, C Popa… - International Journal of …, 2023 - mdpi.com
With the inexorable aging of the global populace, neurodegenerative diseases (NDs) like
Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS) …

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 …

[HTML][HTML] Resting-state connectivity in neurodegenerative disorders: Is there potential for an imaging biomarker?

C Hohenfeld, CJ Werner, K Reetz - NeuroImage: Clinical, 2018 - Elsevier
Biomarkers in whichever modality are tremendously important in diagnosing of disease,
tracking disease progression and clinical trials. This applies in particular for disorders with a …

Resting-state fMRI in Parkinson's disease patients with cognitive impairment: a meta-analysis

AF Wolters, SCF van de Weijer, AFG Leentjens… - Parkinsonism & related …, 2019 - Elsevier
Background Cognitive impairment is a common non-motor symptom in Parkinson's disease.
So far, the underlying pathophysiology remains unclear. Several alterations in functional …

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 …

A systematic review of artificial intelligence (AI) based approaches for the diagnosis of Parkinson's disease

S Saravanan, K Ramkumar, K Adalarasu… - … methods in engineering, 2022 - Springer
Parkinson's disease (PD) is a neurodegenerative disorder that primarily affects the elderly
for over 55 years. PD can be characterised by patients exhibiting various non-motor and …

Resting‐state functional MRI in parkinsonian syndromes

M Filippi, E Sarasso, F Agosta - Movement disorders clinical …, 2019 - Wiley Online Library
ABSTRACT Background Functional MRI (fMRI) has been widely used to study abnormal
patterns of functional connectivity at rest in patients with movement disorders such as …

Exploring the reproducibility of functional connectivity alterations in Parkinson's disease

L Badea, M Onu, T Wu, A Roceanu, O Bajenaru - PLoS One, 2017 - journals.plos.org
Since anatomic MRI is presently not able to directly discern neuronal loss in Parkinson's
Disease (PD), studying the associated functional connectivity (FC) changes seems a …

Machine learning approaches to identify affected brain regions in movement disorders using MRI data: A systematic review and diagnostic meta‐analysis

S Ghaderi, M Mohammadi, F Sayehmiri… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Movement disorders such as Parkinson's disease are associated with structural
and functional changes in specific brain regions. Advanced magnetic resonance imaging …