4.6 Article

Machine learning-based prediction of cognitive outcomes in de novo Parkinson's disease

Related references

Note: Only part of the references are listed.
Review Radiology, Nuclear Medicine & Medical Imaging

How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts

Burak Kocak et al.

Summary: In recent years, there has been a significant increase in research papers on machine learning and artificial intelligence in radiology. Understanding key methodological concepts about study design, data handling, modelling, and reporting is essential for evaluating the validity, reliability, effectiveness, and clinical applicability of these studies. Mastery of these key methodological concepts can enhance the academic reading and peer-review experience within the radiology community.

EUROPEAN RADIOLOGY (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

Predicting the progression of Parkinson's disease using conventional MRI and machine learning: An application of radiomic biomarkers in whole-brain white matter

Zhen-Yu Shu et al.

Summary: This study developed and validated a radiomics model to predict the progression of Parkinson disease based on whole-brain white matter and clinical features. The radiomics features showed high predictive accuracy, sensitivity, and specificity for different stages of PD, supporting the use of MRI-based radiomics as a useful tool for assessment and monitoring of PD progression.

MAGNETIC RESONANCE IN MEDICINE (2021)

Article Clinical Neurology

Sequence of clinical and neurodegeneration events in Parkinson's disease progression

Neil P. Oxtoby et al.

Summary: This study estimated the sequence of Parkinson's disease progression in patients at elevated risk for dementia, beginning with classic prodromal features, offering a route to earlier and more precise detection and characterizing variability in the sequence.

BRAIN (2021)

Article Biology

Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning

Mohammad R. Salmanpour et al.

Summary: This study successfully identified robust Parkinson's disease subtypes through the application of multiple feature-reduction and cluster-analysis methods based on multidimensional data from longitudinal datasets. Utilizing radiomics information enabled consistent generation of clusters through ensemble analysis of trajectories, resulting in the identification of three distinct PD subtypes - mild, intermediate, and severe.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

Article Clinical Neurology

Serum uric acid level as a putative biomarker in Parkinson ? s disease patients carrying GBA1 mutations: 2-Year data from the PPMI study

Christos Koros et al.

Summary: The study evaluated serum uric acid levels in PD patients with mutations in the GBA1 gene and found that these patients had lower uric acid levels compared to healthy controls over a 2-year period. This suggests that low serum uric acid might serve as a progression biomarker in GBA-PD, but further studies are needed to confirm this association.

PARKINSONISM & RELATED DISORDERS (2021)

Article Medicine, General & Internal

Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients

Charlotte James et al.

Summary: The study found that machine learning algorithms could accurately predict incident dementia within 2 years in patients receiving care at memory clinics using only 6 variables. These findings could be used to inform the development and validation of decision-making aids in memory clinics.

JAMA NETWORK OPEN (2021)

Review Geriatrics & Gerontology

Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature

Jie Mei et al.

Summary: Diagnosis of Parkinson's disease relies on medical observations and clinical signs, but traditional methods can be subjective. Machine learning approaches have shown potential in improving diagnosis and informing clinical decision making.

FRONTIERS IN AGING NEUROSCIENCE (2021)

Article Biotechnology & Applied Microbiology

Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders

Marta F. Nabais et al.

Summary: This study identified shared differentially methylated positions in whole blood between neurodegenerative disorders, indicating shared pathogenic mechanisms. Immune abnormalities caused by different neurodegenerative diseases may be interrelated to some extent.

GENOME BIOLOGY (2021)

Review Biochemical Research Methods

Tutorial: a guide to performing polygenic risk score analyses

Shing Wan Choi et al.

NATURE PROTOCOLS (2020)

Article Neurosciences

Multivariate prediction of dementia in Parkinson's disease

Thanaphong Phongpreecha et al.

NPJ PARKINSONS DISEASE (2020)

Article Clinical Neurology

Association between Olfactory Deficit and Motor and Cognitive Function in Parkinson's Disease

Han Soo Yoo et al.

JOURNAL OF MOVEMENT DISORDERS (2020)

Article Computer Science, Artificial Intelligence

From local explanations to global understanding with explainable AI for trees

Scott M. Lundberg et al.

NATURE MACHINE INTELLIGENCE (2020)

Article Neurosciences

The clinical heterogeneity of Parkinson's disease and its therapeutic implications

Julia C. Greenland et al.

EUROPEAN JOURNAL OF NEUROSCIENCE (2019)

Article Multidisciplinary Sciences

Data-Driven Subtyping of Parkinson's Disease Using Longitudinal Clinical Records: A Cohort Study

Xi Zhang et al.

SCIENTIFIC REPORTS (2019)

Review Genetics & Heredity

Machine Learning and Integrative Analysis of Biomedical Big Data

Bilal Mirza et al.

GENES (2019)

Article Biology

PRSice-2: Polygenic Risk Score software for biobank-scale data

Shing Wan Choi et al.

GIGASCIENCE (2019)

Article Biology

Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease

Mohammad R. Salmanpour et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2019)

Article Neurosciences

Parkinson's progression prediction using machine learning and serum cytokines

Diba Ahmadi Rastegar et al.

NPJ PARKINSONS DISEASE (2019)

Article Psychiatry

A tutorial on conducting genome-wide association studies: Quality control and statistical analysis

Andries T. Marees et al.

INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH (2018)

Article Medicine, General & Internal

Effect of rs3910105 in the Synuclein Gene on Dopamine Transporter Availability in Healthy Subjects

Youngduk Seo et al.

YONSEI MEDICAL JOURNAL (2018)

Article Cardiac & Cardiovascular Systems

Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease

Pim van der Harst et al.

CIRCULATION RESEARCH (2018)

Article Psychology, Clinical

State Anxiety Predicts Cognitive Performance in Patients With Parkinson's Disease

Kaylena A. Ehgoetz Martens et al.

NEUROPSYCHOLOGY (2018)

Article Clinical Neurology

The Parkinson's progression markers initiative (PPMI) - establishing a PD biomarker cohort

Kenneth Marek et al.

ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY (2018)

Article Geriatrics & Gerontology

Diagnostic Accuracy and Confidence in the Clinical Detection of Cognitive Impairment in Early-Stage Parkinson Disease

Kathryn A. Wyman-Chick et al.

JOURNAL OF GERIATRIC PSYCHIATRY AND NEUROLOGY (2017)

Editorial Material Clinical Neurology

A new tool to identify patients with Parkinson's disease at increased risk of dementia

Dag Aarsland et al.

LANCET NEUROLOGY (2017)

Review Clinical Neurology

Cognitive decline in Parkinson disease

Dag Aarsland et al.

NATURE REVIEWS NEUROLOGY (2017)

Article Clinical Neurology

Olfactory dysfunction and dementia in newly diagnosed patients with Parkinson's disease

Magdalena Eriksson Domellof et al.

PARKINSONISM & RELATED DISORDERS (2017)

Article Clinical Neurology

Baseline genetic associations in the Parkinson's Progression Markers Initiative (PPMI)

Mike A. Nalls et al.

MOVEMENT DISORDERS (2016)

Article Geriatrics & Gerontology

Anxiety as a Predictor for Cognitive Decline and Dementia: A Systematic Review and Meta-Analysis

Bernice Gulpers et al.

AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY (2016)

Article Computer Science, Artificial Intelligence

A multi-objective heuristic algorithm for gene expression microarray data classification

Jia Lv et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Clinical Neurology

Olfactory impairment predicts cognitive decline in early Parkinson's disease

Michelle E. Fullard et al.

PARKINSONISM & RELATED DISORDERS (2016)

Article Clinical Neurology

Cognitive performance and neuropsychiatric symptoms in early, untreated Parkinson's disease

Daniel Weintraub et al.

MOVEMENT DISORDERS (2015)

Article Neurosciences

Verbal Memory in Parkinson's Disease: A Combined DTI and fMRI Study

Olaia Lucas-Jimenez et al.

JOURNAL OF PARKINSONS DISEASE (2015)

Article Statistics & Probability

mice: Multivariate Imputation by Chained Equations inR

Stef van Buuren et al.

Journal of Statistical Software (2015)

Article Neurosciences

DTI Correlates of Distinct Cognitive Impairments in Parkinson's Disease

Zhong Zheng et al.

HUMAN BRAIN MAPPING (2014)

Article Multidisciplinary Sciences

Biological insights from 108 schizophrenia-associated genetic loci

Stephan Ripke et al.

NATURE (2014)

Article Clinical Neurology

CSF Aβ42 predicts early-onset dementia in Parkinson disease

Guido Alves et al.

NEUROLOGY (2014)

Article Biotechnology & Applied Microbiology

A data-driven approach to preprocessing Illumina 450K methylation array data

Ruth Pidsley et al.

BMC GENOMICS (2013)

Article Clinical Neurology

The CamPaIGN study of Parkinson's disease: 10-year outlook in an incident population-based cohort

Caroline H. Williams-Gray et al.

JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY (2013)

Article Biochemistry & Molecular Biology

Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates

Gregory Hannum et al.

MOLECULAR CELL (2013)

Article Clinical Neurology

A Multicenter Study of Glucocerebrosidase Mutations in Dementia With Lewy Bodies

Michael A. Nalls et al.

JAMA NEUROLOGY (2013)

Article

Dementia Risk in Parkinson Disease

Núria Setó-Salvia et al.

ARCHIVES OF NEUROLOGY (2011)

Letter Biochemistry & Molecular Biology

The self-assessment trap: can we all be better than average?

Raquel Norel et al.

MOLECULAR SYSTEMS BIOLOGY (2011)

Article Computer Science, Artificial Intelligence

Margin-Maximizing Feature Elimination Methods for Linear and Nonlinear Kernel-Based Discriminant Functions

Yaman Aksu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)

Article Computer Science, Interdisciplinary Applications

Building Predictive Models in R Using the caret Package

Max Kuhn

JOURNAL OF STATISTICAL SOFTWARE (2008)

Review Clinical Neurology

Clinical diagnostic criteria for dementia associated with Parkinson's disease

Murat Emre et al.

MOVEMENT DISORDERS (2007)

Article Statistics & Probability

Unbiased recursive partitioning: A conditional inference framework

Torsten Hothorn et al.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2006)

Review Clinical Neurology

A systematic review of prevalence studies of dementia in Parkinson's disease

D Aarsland et al.

MOVEMENT DISORDERS (2005)

Article Clinical Neurology

Structural brain changes in Parkinson disease with dementia

C Summerfield et al.

ARCHIVES OF NEUROLOGY (2005)

Article Computer Science, Artificial Intelligence

Gene selection for cancer classification using support vector machines

I Guyon et al.

MACHINE LEARNING (2002)