Dana Pourzinal1,2, Ji Hyun J Yang1, Gerard J Byrne1,3, John D O'Sullivan1,4, Leander Mitchell2, Katie L McMahon5, David A Copland1,6, Nadeeka N Dissanayaka7,8,9. 1. UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Royal Brisbane and Women's Hospital, Building 71/918, Herston, Brisbane, QLD, 4029, Australia. 2. School of Psychology, The University of Queensland, St Lucia, Brisbane, QLD, 4067, Australia. 3. Mental Health Service, Royal Brisbane and Women's Hospital, Herston, Brisbane, QLD, 4029, Australia. 4. Department of Neurology, Royal Brisbane and Women's Hospital, Herston, Brisbane, QLD, 4029, Australia. 5. School of Clinical Sciences and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, 4000, Australia. 6. School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, Brisbane, QLD, 4067, Australia. 7. UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Royal Brisbane and Women's Hospital, Building 71/918, Herston, Brisbane, QLD, 4029, Australia. n.dissanayaka@uq.edu.au. 8. School of Psychology, The University of Queensland, St Lucia, Brisbane, QLD, 4067, Australia. n.dissanayaka@uq.edu.au. 9. Department of Neurology, Royal Brisbane and Women's Hospital, Herston, Brisbane, QLD, 4029, Australia. n.dissanayaka@uq.edu.au.
Abstract
INTRODUCTION: The concept of Mild Cognitive Impairment (MCI) in Parkinson's disease (PD) has shown the potential for identifying at-risk dementia patients. Identifying subtypes of MCI is likely to assist therapeutic discoveries and better clinical management of patients with PD (PWP). Recent cluster-based approaches have demonstrated dominance in memory and executive impairment in PD. The present study will further explore the role of memory and executive impairment and associated clinical features in non-demented PWP. METHOD: A K-means cluster analysis was performed on ten "frontal" and "posterior" cognitive variables derived from a dataset of 85 non-demented PWP. The resulting cluster structure was chosen based on quantitative, qualitative, theoretical, and clinical validity. Cluster profiles were then created through statistical analysis of cognitive and clinical/demographic variables. A descriptive analysis of each cluster's performance on a comprehensive PD-MCI diagnostic battery was also explored. RESULTS: The resulting cluster structure revealed four distinct cognitive phenotypes: (1) frontal-dominant impairment; (2) posterior-cortical-dominant impairment; (3) global impairment, and (4) cognitively intact. Demographic profiling revealed significant differences in the age, gender split, global cognitive ability, and motor symptoms between these clusters. However, there were no significant differences between the clusters on measures of depression, apathy, and anxiety. CONCLUSION: These results validate the existence of distinct cognitive phenotypes within PD-MCI and encourage future research into their clinical trajectory and neuroimaging correlates.
INTRODUCTION: The concept of Mild Cognitive Impairment (MCI) in Parkinson's disease (PD) has shown the potential for identifying at-risk dementiapatients. Identifying subtypes of MCI is likely to assist therapeutic discoveries and better clinical management of patients with PD (PWP). Recent cluster-based approaches have demonstrated dominance in memory and executive impairment in PD. The present study will further explore the role of memory and executive impairment and associated clinical features in non-demented PWP. METHOD: A K-means cluster analysis was performed on ten "frontal" and "posterior" cognitive variables derived from a dataset of 85 non-demented PWP. The resulting cluster structure was chosen based on quantitative, qualitative, theoretical, and clinical validity. Cluster profiles were then created through statistical analysis of cognitive and clinical/demographic variables. A descriptive analysis of each cluster's performance on a comprehensive PD-MCI diagnostic battery was also explored. RESULTS: The resulting cluster structure revealed four distinct cognitive phenotypes: (1) frontal-dominant impairment; (2) posterior-cortical-dominant impairment; (3) global impairment, and (4) cognitively intact. Demographic profiling revealed significant differences in the age, gender split, global cognitive ability, and motor symptoms between these clusters. However, there were no significant differences between the clusters on measures of depression, apathy, and anxiety. CONCLUSION: These results validate the existence of distinct cognitive phenotypes within PD-MCI and encourage future research into their clinical trajectory and neuroimaging correlates.
Authors: Omar A Ibrahim; Sunyang Fu; Maria Vassilaki; Ronald C Petersen; Michelle M Mielke; Jennifer St Sauver; Sunghwan Sohn Journal: Proceedings (IEEE Int Conf Bioinformatics Biomed) Date: 2021-12
Authors: Nadeeka N Dissanayaka; Elana J Forbes; Ji Hyun J Yang; Dana Pourzinal; John D O'Sullivan; Leander K Mitchell; David A Copland; Katie L McMahon; Gerard J Byrne Journal: J Neurol Date: 2021-08-04 Impact factor: 4.849
Authors: Lauren E Kenney; Adrianna M Ratajska; Francesca V Lopez; Catherine C Price; Melissa J Armstrong; Dawn Bowers Journal: Brain Sci Date: 2021-12-30