Cognitive impairment in Parkinson's disease and other parkinsonian syndromes

A Giannakis, C Sioka, E Kloufetou… - Journal of Neural …, 2024 - Springer
In this narrative review, we address mild cognitive impairment, a frequent complication of
Parkinson's disease (PD) and atypical parkinsonian disorders (APDs). Recent diagnostic …

Advanced AI techniques for classifying Alzheimer's disease and mild cognitive impairment

S Tascedda, P Sarti, V Rivi, CS Guerrera… - Frontiers in aging …, 2024 - frontiersin.org
Background Alzheimer's disease and mild cognitive impairment are often difficult to
differentiate due to their progressive nature and overlap** symptoms. The lack of reliable …

Optimal MMSE and MoCA cutoffs for cognitive diagnoses in Parkinson's disease: A data-driven decision tree model

E Fiorenzato, S Cauzzo, L Weis, M Garon… - Journal of the …, 2024 - Elsevier
Background Detecting cognitive impairment in Parkinson's disease (PD) is challenging due
to diverse manifestations and outdated diagnostic criteria. Cognitive screening tools, as Mini …

Imaging biomarkers of cortical neurodegeneration underlying cognitive impairment in Parkinson's disease

J Silva-Rodríguez, MÁ Labrador-Espinosa… - European Journal of …, 2025 - Springer
Purpose Imaging biomarkers bear great promise for improving the diagnosis and prognosis
of cognitive impairment in Parkinson's disease (PD). We compared the ability of three …

A novel multi-level 3D pose estimation framework for gait detection of Parkinson's disease using monocular video

R He, Z You, Y Zhou, G Chen, Y Diao… - … in Bioengineering and …, 2024 - frontiersin.org
Introduction Parkinson's disease (PD) is characterized by muscle stiffness, bradykinesia,
and balance disorders, significantly impairing the quality of life for affected patients. While …

Comparing machine learning and deep learning models to predict cognition progression in Parkinson's disease

EA Bernal, S Yang, K Herbst… - Clinical and …, 2024 - Wiley Online Library
Cognitive decline in Parkinson's disease (PD) varies widely. While models to predict
cognitive progression exist, comparing traditional probabilistic models to deep learning …

Develo** an Assistive System for Dementia Patients using Raspberry Pi and YOLOv5: A Step Towards Improved Quality of Life

H Karamchandani, VK Sinha… - … on Software, Systems …, 2024 - ieeexplore.ieee.org
Dementia, a complex mental health issue predominantly affecting the elderly, presents
profound challenges including memory loss and difficulty recognizing the family members …

[PDF][PDF] Parkinson's Disease Prediction Using Machine Learning Models

S Kanakala - International Journal, 2024 - academia.edu
Parkinson's disease is a neurodegenerative condition that affects billions of persons
worldwide. This abstract aims to shed light on the causes and consequences of this …

Explainable boosting machine approach to identifying risk factors for Parkinson's disease

AK Arslan, C Colak - 2024 - annalsmedres.org
Aim: Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized
by motor and non-motor symptoms. The diagnosis and management of PD have been …