Machine learning within the Parkinson's progression markers initiative: Review of the current state of affairs

RT Gerraty, A Provost, L Li, E Wagner… - Frontiers in Aging …, 2023 - frontiersin.org
The Parkinson's Progression Markers Initiative (PPMI) has collected more than a decade's
worth of longitudinal and multi-modal data from patients, healthy controls, and at-risk …

Citrus essential oils in aromatherapy: Therapeutic effects and mechanisms

P Agarwal, Z Sebghatollahi, M Kamal, A Dhyani… - Antioxidants, 2022 - mdpi.com
Citrus is one of the main fruit crops cultivated in tropical and subtropical regions worldwide.
Approximately half (40–47%) of the fruit mass is inedible and discarded as waste after …

Distribution pattern of iron deposition in the basal ganglia of different motor subtypes of Parkinson's disease

X Zhang, L Li, L Qi, Y Fu, D Sun, S Chen, W Xu… - Neuroscience …, 2023 - Elsevier
Objective The quantitative susceptibility mapping (QSM) technique was used to analyze the
distribution pattern of iron deposition in the basal ganglia region of patients with motor …

[HTML][HTML] Machine Learning for Early Detection of Cognitive Decline in Parkinson's Disease Using Multimodal Biomarker and Clinical Data

R Mohammadi, SYE Ng, JY Tan, ASL Ng, X Deng… - Biomedicines, 2024 - mdpi.com
Background: Parkinson's disease (PD) is the second most common neurodegenerative
disease, primarily affecting the middle-aged to elderly population. Among its nonmotor …

Associations of Multimorbidity with Cerebrospinal Fluid Biomarkers for Neurodegenerative Disorders in Early Parkinson's Disease: A Cross-sectional and Longitudinal …

MZ Zhang, Y Sun, YM Chen, F Guo… - Current Alzheimer …, 2024 - benthamdirect.com
Object The study aims to determine whether multimorbidity status is associated with
cerebrospinal fluid (CSF) biomarkers for neurodegenerative disorders. Methods A total of …

Power of Multi-Modality Variables in Predicting Parkinson's Disease Progression

Y Jiang, HJ Yang, J Kim, Z Tang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Parkinson's disease (PD) is one of the most common neurodegenerative disorders. The
increasing demand for high-accuracy forecasts of disease progression has led to a surge in …

[HTML][HTML] Divergent patterns of healthy aging across human brain regions at single-cell resolution reveal links to neurodegenerative disease

MF Duffy, J Ding, RG Langston, SI Shah, MA Nalls… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Age is a major common risk factor underlying neurodegenerative diseases, including
Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. Previous …

Eleven Years of Change: Disease Progression in Biomarker-Defined Sporadic Parkinson's Disease

P Gonzalez-Latapi, C Gochanour, H Cho, S Ho Choi… - medRxiv, 2024 - medrxiv.org
Long-term longitudinal data on outcomes in sporadic Parkinsons Disease are limited,
especially from cohorts with extensive biological characterization. Recent advances in …

Association of dysphagia severity in multiple system atrophy with the specific binding ratio on dopamine transporter SPECT

T Wada, K Sugaya, Y Asano, Y Nakata, R Naito… - Journal of the …, 2024 - Elsevier
Objective Dysphagia in multiple system atrophy (MSA) is life-threatening and is caused by
parkinsonism with cerebellar ataxia as a contributing factor. The present study investigated …

[PDF][PDF] Developing a Machine Learning Model to Predict the Risk of Cognitive Decline in Early Parkinson's Disease

R Mohammadi, SYE Ng, JY Tan, ASL Ng, X Deng… - 2024 - preprints.org
Background: Cognitive decline (CD) is a significant concern in Parkinson's disease (PD),
highlighting the need for reliable risk prediction models for early intervention. This study …