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References from Machine learning for the detection and diagnosis of cognitive impairment in Parkinson’s Disease: A systematic review. Local targets link to admitted publications; unresolved targets remain external evidence.
Diagnosis and Treatment of Parkinson Disease: A Review
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The Nondeclaration of Nonmotor Symptoms of Parkinson’s Disease to Health Care Professionals: An International Study Using the Nonmotor Symptoms Questionnaire
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Global, Regional, and National Burden of Parkinson’s Disease, 1990-2016: A Systematic Analysis for the Global Burden of Disease Study 2016
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Clinical and Neuropathological Differences between Parkinson’s Disease, Parkinson’s Disease Dementia and Dementia with Lewy Bodies—Current Issues and Future Directions
10.1111/jnc.14698 · 2019 · External reference
Cognitive Impairment in Parkinson’s Disease
10.1136/postgradmedj-2015-133247 · 2015 · External reference
Cerebral Atrophy in Parkinson’s Disease with and without Dementia: A Comparison with Alzheimer’s Disease, Dementia with Lewy Bodies and Controls
10.1093/brain/awh088 · 2004 · External reference
Cognitive Impairment in Parkinson Disease: Impact on Quality of Life, Disability, and Caregiver Burden
10.1177/0891988712464823 · 2012 · External reference
Impact of Mild Cognitive Impairment on Health-Related Quality of Life in Parkinson’s Disease
10.1159/000350032 · 2013 · External reference
Unresolved reference
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Proceedings of Patient Reported Outcome Measure’s (PROMs) Conference Oxford 2017: Advances in Patient Reported Outcomes Research
2017 · External reference
Dementia with Lewy Bodies and Parkinson’s Disease-Dementia: Current Perspectives
2018 · External reference
Are Dementia with Lewy Bodies and Parkinson’s Disease Dementia the Same Disease?
10.1186/s12916-018-1016-8 · 2018 · External reference
Cognitive Impairment in Parkinson’s Disease: The Dual Syndrome Hypothesis
10.1159/000341998 · 2012 · External reference
Cortical Thinning Correlates of Changes in Visuospatial and Visuoperceptual Performance in Parkinson’s Disease: A 4-Year Follow-Up
10.1016/j.parkreldis.2017.11.003 · 2018 · External reference
Large-Scale Exploratory Genetic Analysis of Cognitive Impairment in Parkinson’s Disease
10.1016/j.neurobiolaging.2017.04.009 · 2017 · External reference
Cognitive Processing Speed across the Lifespan: Beyond the Influence of Motor Speed
2017 · External reference
The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment
10.1111/j.1532-5415.2005.53221.x · 2005 · External reference
Gait-Based Machine Learning for Classifying Patients with Different Types of Mild Cognitive Impairment
2020 · External reference
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Identification of a Gait Pattern for Detecting Mild Cognitive Impairment in Parkinson’s Disease
10.3390/s23041985 · 2023 · External reference
Discriminating Cognitive Status in Parkinson’s Disease through Functional Connectomics and Machine Learning
10.1038/srep45347 · 2017 · External reference
Electroencephalography-Based Machine Learning for Cognitive Profiling in Parkinson’s Disease: Preliminary Results
10.1002/mds.27528 · 2019 · External reference
Phase Lag Index and Spectral Power as QEEG Features for Identification of Patients with Mild Cognitive Impairment in Parkinson’s Disease
10.1016/j.clinph.2019.07.017 · 2019 · External reference
Machine Learning Can Predict Mild Cognitive Impairment in Parkinson’s Disease
10.3389/fneur.2022.1010147 · 2022 · External reference
Predicting Cognitive Decline in Parkinson’s Disease Using FDG-PET–Based Supervised Learning
10.1172/jci157074 · 2022 · External reference
Cognitive Signature of Brain FDG PET Based on Deep Learning: Domain Transfer from Alzheimer’s Disease to Parkinson’s Disease
10.1007/s00259-019-04538-7 · 2020 · External reference
Combining Quantitative Susceptibility Mapping to Radiomics in Diagnosing Parkinson’s Disease and Assessing Cognitive Impairment
10.1007/s00330-022-08790-8 · 2022 · External reference
Machine Learning Trained with Quantitative Susceptibility Mapping to Detect Mild Cognitive Impairment in Parkinson’s Disease
10.1016/j.parkreldis.2021.12.004 · 2022 · External reference
Voxel-Based Quantitative Susceptibility Mapping in Parkinson’s Disease with Mild Cognitive Impairment
10.1002/mds.27717 · 2019 · External reference
Magnetic Susceptibility Associates With Dopaminergic Deficits and Cognition in Parkinson’s Disease
10.1002/mds.28077 · 2020 · External reference
Quantitative Susceptibility Mapping as an Imaging Biomarker for Alzheimer’s Disease: The Expectations and Limitations
10.3389/fnins.2022.938092 · 2022 · External reference
EFNS/MDS-ES Recommendations for the Diagnosis of Parkinson’s Disease
10.1111/ene.12022 · 2013 · External reference
Accuracy of Clinical Diagnosis of Parkinson Disease
10.1212/wnl.0000000000002350 · 2016 · External reference
Using Machine Learning for Healthcare Challenges and Opportunities
10.1016/j.imu.2022.100924 · 2022 · External reference
Machine Learning in Healthcare
10.2174/1389202922666210705124359 · 2021 · External reference
Premotor Parkinson’s Disease: Concepts and Definitions
10.1002/mds.24954 · 2012 · External reference
Treatment of Parkinson’s Disease with Cognitive Impairment: Current Approaches and Future Directions
10.3390/bs11040054 · 2021 · External reference
Ageing and Parkinson’s Disease: Substantia Nigra Regional Selectivity
10.1093/brain/114.5.2283 · 1991 · External reference
α-Synuclein Misfolding and Aggregation: Implications in Parkinson’s Disease Pathogenesis
10.1016/j.bbapap.2019.03.001 · 2019 · External reference
Mitochondrial Dysfunction in Parkinson’s Disease
2015 · External reference
The Role of Oxidative Stress in Parkinson’s Disease
2013 · External reference
Neuroinflammation in Parkinson’s Disease and Its Treatment Opportunities
10.4274/balkanmedj.galenos.2022.2022-7-100 · 2022 · External reference
Anosmia and Ageusia in Parkinson’s Disease
10.1016/bs.irn.2017.05.028 · 2017 · External reference
Speech and Swallowing Disorders in Parkinson Disease
10.1097/moo.0b013e3282febd3a · 2008 · External reference
Auditory Hallucinations in Parkinson’s Disease
10.1136/jnnp.64.4.533 · 1998 · External reference
Visual Symptoms in Parkinson’s Disease
2011 · External reference
Dopamine Does Double Duty in Motivating Cognitive Effort
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10.1016/s0301-0082(02)00011-4 · 2002 · External reference
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1987 · External reference
The Lewy Body in Parkinson’s Disease and Related Neurodegenerative Disorders
10.1007/s12035-012-8280-y · 2012 · External reference
Altered Cholinergic Innervation in De Novo Parkinson’s Disease with and Without Cognitive Impairment
10.1002/mds.28913 · 2022 · External reference
New Insight into the Therapeutic Role of the Serotonergic System in Parkinson’s Disease
10.1016/j.pneurobio.2015.09.005 · 2015 · External reference
Parkinson’s Disease and Dementia: Norepinephrine and Dopamine in Locus Ceruleus
10.1212/wnl.37.1.42 · 1987 · External reference
Memory and Executive Function Impairment Predict Dementia in Parkinson’s Disease
10.1002/mds.10280 · 2002 · External reference
Attentional Deficits Affect Activities of Daily Living in Dementia-Associated with Parkinson’s Disease
10.1136/jnnp.2006.093146 · 2006 · External reference
Visuospatial Impairment in Parkinson’s Disease
10.1212/wnl.41.3.365 · 1991 · External reference
“Tip-of-the-tongue” Phenomenon in Parkinson Disease
10.1212/wnl.32.5.567 · 1982 · External reference
The Source of the Memory Impairment in Parkinson’s Disease: Acquisition versus Retrieval
10.1002/mds.25842 · 2014 · External reference
MDS Task Force on Mild Cognitive Impairment in Parkinson’s Disease: Critical Review of PD-MCI
10.1002/mds.23823 · 2011 · External reference
Mini-Mental State Examination (MMSE) for the Detection of Alzheimer’s Disease and Other Dementias in People with Mild Cognitive Impairment (MCI)
2015 · External reference
Neuroimaging in Parkinson’s Disease Dementia: Connecting the Dots
2019 · External reference
Early Detection of Parkinson’s Disease Using Deep Learning and Machine Learning
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Unveiling the Diagnostic Potential of Linguistic Markers in Identifying Individuals with Parkinson’s Disease through Artificial Intelligence: A Systematic Review
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A Comparison of Machine Learning Classifiers for Dementia with Lewy Bodies Using miRNA Expression Data
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A Survey on the Application of Genetic Programming to Classification
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Development of a Predictive Model for Mild Cognitive Impairment in Parkinson’s Disease with Normal Cognition Using Kernel-Based C5.0 Machine Learning Blending: Preliminary Research
2021 · External reference
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Machine Learning for the Diagnosis of Parkinson’s Disease: A Review of Literature
10.3389/fnagi.2021.633752 · 2021 · External reference
Artificial Intelligence for Assisting Diagnostics and Assessment of Parkinson’s Disease—A Review
10.1016/j.clineuro.2019.105442 · 2019 · External reference
A Comparative Study of Existing Machine Learning Approaches for Parkinson’s Disease Detection
10.1080/03772063.2018.1531730 · 2021 · External reference
Predictive Value of Machine Learning in Diagnosing Cognitive Impairment in Patients with Parkinson’s Disease: A Systematic Review and Meta-Analysis
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PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
10.7326/m18-1376 · 2019 · External reference
The Cerebral Blood Flow Deficits in Parkinson’s Disease with Mild Cognitive Impairment Using Arterial Spin Labeling MRI
10.1007/s00702-020-02227-6 · 2020 · External reference
Detection of Visual and Frontoparietal Network Perfusion Deficits in Parkinson’s Disease Dementia
10.1016/j.ejrad.2021.109985 · 2021 · External reference
A Novel Machine Learning Algorithm Predicts Dementia With Lewy Bodies Versus Parkinson’s Disease Dementia Based on Clinical and Neuropsychological Scores
10.1177/0891988721993556 · 2022 · External reference
Exploring Parkinson’s Disease Predictors Based on Basic Intelligence Quotient and Executive Intelligence Quotient
10.14569/ijacsa.2021.0120414 · 2021 · External reference
Identification of Metabolic Correlates of Mild Cognitive Impairment in Parkinson’s Disease Using Magnetic Resonance Spectroscopic Imaging and Machine Learning
10.1007/s10334-022-01030-6 · 2022 · External reference
Prediction of Cognitive Degeneration in Parkinson’s Disease Patients Using a Machine Learning Method
10.3390/brainsci12081048 · 2022 · External reference
Detection of Mild Cognitive Impairment in Parkinson’s Disease Using Gradient Boosting Decision Tree Models Based on Multilevel DTI Indices
2023 · External reference
Evolution of Brain Network Dynamics in Early Parkinson’s Disease with Mild Cognitive Impairment
10.1007/s11571-022-09868-1 · 2023 · External reference
Plasma Extracellular Vesicles Tau and β-Amyloid as Biomarkers of Cognitive Dysfunction of Parkinson’s Disease
10.1096/fj.202100787r · 2021 · External reference
Brain Dynamics Complexity as a Signature of Cognitive Decline in Parkinson’s Disease
10.1002/mds.29678 · 2024 · External reference
Cognitive Determinants of Dysarthria in Parkinson’s Disease: An Automated Machine Learning Approach
10.1002/mds.28751 · 2021 · External reference
Detecting Parkinson’s Disease and Its Cognitive Phenotypes via Automated Semantic Analyses of Action Stories
2022 · External reference
Machine Learning for Automated EEG-based Biomarkers of Cognitive Impairment during Deep Brain Stimulation Screening in Patients with Parkinson’s Disease
10.1016/j.clinph.2021.01.021 · 2021 · External reference
Preoperative Electroencephalography-Based Machine Learning Predicts Cognitive Deterioration After Subthalamic Deep Brain Stimulation
10.1002/mds.28661 · 2021 · External reference
Investigating the Power of Eyes Open Resting State EEG for Assisting in Dementia Diagnosis
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Nucleus Basalis of Meynert Predicts Cognition after Deep Brain Stimulation in Parkinson’s Disease
10.1016/j.parkreldis.2021.12.002 · 2022 · External reference
Brain Connectivity Markers in Advanced Parkinson’s Disease for Predicting Mild Cognitive Impairment
10.1007/s00330-021-08086-3 · 2021 · External reference
Prediction of Cognition in Parkinson’s Disease with a Clinical–Genetic Score: A Longitudinal Analysis of Nine Cohorts
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Identifying Key Multi-Modal Predictors of Incipient Dementia in Parkinson’s Disease: A Machine Learning Analysis and Tree SHAP Interpretation
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Predicting Dementia Development in Parkinson’s Disease Using Bayesian Network Classifiers
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Optimization of Cognitive Assessment in Parkinsonisms by Applying Artificial Intelligence to a Comprehensive Screening Test
2022 · External reference
Deep-Learning Detection of Mild Cognitive Impairment from Sleep Electroencephalography for Patients with Parkinson’s Disease
10.1371/journal.pone.0286506 · 2023 · External reference
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An Interpretable Multiparametric Radiomics Model of Basal Ganglia to Predict Dementia Conversion in Parkinson’s Disease
2023 · External reference
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Investigating the Relationship between the SNCA Gene and Cognitive Abilities in Idiopathic Parkinson’s Disease Using Machine Learning
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Cortical Thickness from MRI to Predict Conversion from Mild Cognitive Impairment to Dementia in Parkinson Disease: A Machine Learning-Based Model
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Topologically Convergent and Divergent Morphological Gray Matter Networks in Early-Stage Parkinson’s Disease with and without Mild Cognitive Impairment
10.1002/hbm.25606 · 2021 · External reference
Activation Maps of Convolutional Neural Networks as a Tool for Brain Degeneration Tracking in Early Diagnosis of Dementia in Parkinson’s Disease Based on Magnetic Resonance Imaging
2023 · External reference
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Classification of Parkinson’s Disease with Dementia Using Phase Locking Factor of Event-Related Oscillations to Visual and Auditory Stimuli
10.1088/1741-2552/acc612 · 2023 · External reference
Role of Hippocampal Subfields in Neurodegenerative Disease Progression Analyzed with a Multi-Scale Attention-Based Network
10.1016/j.nicl.2023.103370 · 2023 · External reference
Segmental Disturbance of White Matter Microstructure in Predicting Mild Cognitive Impairment in Idiopathic Parkinson’s Disease: An Individualized Study Based on Automated Fiber Quantification Tractography
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Disrupted Resting-state Functional Connectivity of the Nucleus Basalis of Meynert in Parkinson’s Disease with Mild Cognitive Impairment
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An SBM-based Machine Learning Model for Identifying Mild Cognitive Impairment in Patients with Parkinson’s Disease
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Identifying Parkinson’s Disease with Mild Cognitive Impairment by Using Combined MR Imaging and Electroencephalogram
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Machine Learning-Based Prediction of Longitudinal Cognitive Decline in Early Parkinson’s Disease Using Multimodal Features
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Machine Learning-Based Prediction of Cognitive Outcomes in de Novo Parkinson’s Disease
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Predicting Early Cognitive Decline in Newly-Diagnosed Parkinson’s Patients: A Practical Model
10.1016/j.parkreldis.2018.06.031 · 2018 · External reference
Prediction of Cognitive Decline in Parkinson’s Disease Using Clinical and DAT SPECT Imaging Features, and Hybrid Machine Learning Systems
10.3390/diagnostics13101691 · 2023 · External reference
Structural Connectivity from DTI to Predict Mild Cognitive Impairment in de Novo Parkinson’s Disease
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Accuracy of Machine Learning Using the Montreal Cognitive Assessment for the Diagnosis of Cognitive Impairment in Parkinson’s Disease
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Comparison of Random Forest and Support Vector Machine for Prediction of Cognitive Impairment in Parkinson’s Disease
10.1063/5.0030332 · 2020 · External reference
Long-Term Cognitive Decline Prediction Based on Multi-Modal Data Using Multimodal3DSiameseNet: Transfer Learning from Alzheimer’s Disease to Parkinson’s Disease
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Optimized Machine Learning Methods for Prediction of Cognitive Outcome in Parkinson’s Disease
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Clinical Variables and Biomarkers in Prediction of Cognitive Impairment in Patients with Newly Diagnosed Parkinson’s Disease: A Cohort Study
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Identifying Clinical Features and Blood Biomarkers Associated with Mild Cognitive Impairment in Parkinson Disease Using Machine Learning
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Predicting Motor, Cognitive & Functional Impairment in Parkinson’s
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Is the Random Forest Algorithm Suitable for Predicting Parkinson’s Disease with Mild Cognitive Impairment out of Parkinson’s Disease with Normal Cognition?
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Classification and Staging of Parkinson’s Disease Using Video-Based Eye Tracking
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Shapley Variable Importance Cloud for Interpretable Machine Learning
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