Article (Scientific journals)
Machine learning-based classification of Alzheimer's disease and its at-risk states using personality traits, anxiety, and depression.
Waschkies, Konrad F; Soch, Joram; Darna, Margarita et al.
2023In International Journal of Geriatric Psychiatry, 38 (10), p. 6007
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Keywords :
Alzheimer's disease; amnestic mild cognitive impairment; biomarker; cerebrospinal fluid; fMRI; machine learning; personality; resting-state; subjective cognitive decline; support vector machine; Amyloid beta-Peptides; Apolipoproteins E; Biomarkers; Aged; Humans; Amyloid beta-Peptides/cerebrospinal fluid; Anxiety; Apolipoproteins E/genetics; Biomarkers/cerebrospinal fluid; Cross-Sectional Studies; Depression; Machine Learning; Personality; Alzheimer Disease/psychology; Cognitive Dysfunction/psychology; Cognitive Dysfunction; Geriatrics and Gerontology; Psychiatry and Mental Health
Abstract :
[en] [en] BACKGROUND: Alzheimer's disease (AD) is often preceded by stages of cognitive impairment, namely subjective cognitive decline (SCD) and mild cognitive impairment (MCI). While cerebrospinal fluid (CSF) biomarkers are established predictors of AD, other non-invasive candidate predictors include personality traits, anxiety, and depression, among others. These predictors offer non-invasive assessment and exhibit changes during AD development and preclinical stages. METHODS: In a cross-sectional design, we comparatively evaluated the predictive value of personality traits (Big Five), geriatric anxiety and depression scores, resting-state functional magnetic resonance imaging activity of the default mode network, apoliprotein E (ApoE) genotype, and CSF biomarkers (tTau, pTau181, Aβ42/40 ratio) in a multi-class support vector machine classification. Participants included 189 healthy controls (HC), 338 individuals with SCD, 132 with amnestic MCI, and 74 with mild AD from the multicenter DZNE-Longitudinal Cognitive Impairment and Dementia Study (DELCODE). RESULTS: Mean predictive accuracy across all participant groups was highest when utilizing a combination of personality, depression, and anxiety scores. HC were best predicted by a feature set comprised of depression and anxiety scores and participants with AD were best predicted by a feature set containing CSF biomarkers. Classification of participants with SCD or aMCI was near chance level for all assessed feature sets. CONCLUSION: Our results demonstrate predictive value of personality trait and state scores for AD. Importantly, CSF biomarkers, personality, depression, anxiety, and ApoE genotype show complementary value for classification of AD and its at-risk stages.
Disciplines :
Neurology
Computer science
Author, co-author :
Waschkies, Konrad F;  German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany ; Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
Soch, Joram;  German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany ; Bernstein Center for Computational Neuroscience, Berlin, Germany
Darna, Margarita;  German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany ; Leibniz Institute for Neurobiology, Magdeburg, Germany
Richter, Anni;  Leibniz Institute for Neurobiology, Magdeburg, Germany ; German Center for Mental Health (DZPG), Munich, Germany ; Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
Altenstein, Slawek;  German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany ; Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
Beyle, Aline;  German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; Department of Neurology, University of Bonn, Bonn, Germany
Brosseron, Frederic;  German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Buchholz, Friederike;  German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany ; Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
Butryn, Michaela;  German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
Dobisch, Laura;  German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
Ewers, Michael;  German Center for Neurodegenerative Diseases (DZNE), Munich, Germany ; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
Fliessbach, Klaus;  German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
Gabelin, Tatjana;  Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
Glanz, Wenzel;  German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
Goerss, Doreen;  German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany ; Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
Gref, Daria;  Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
Janowitz, Daniel;  Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
Kilimann, Ingo;  German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany ; Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
Lohse, Andrea;  Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
Munk, Matthias H;  German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany ; Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
Rauchmann, Boris-Stephan;  Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany ; Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK ; Department of Neuroradiology, University Hospital LMU, Munich, Germany
Rostamzadeh, Ayda;  Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
Roy, Nina;  German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Spruth, Eike Jakob;  German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany ; Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
Dechent, Peter;  MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University Goettingen, Göttingen, Germany
HENEKA, Michael  ;  German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Hetzer, Stefan;  Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, Berlin, Germany
Ramirez, Alfredo;  German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany ; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany ; Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany ; Department of Psychiatry & Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, San Antonio, Texas, USA
Scheffler, Klaus;  Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
Buerger, Katharina;  German Center for Neurodegenerative Diseases (DZNE), Munich, Germany ; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
Laske, Christoph;  German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany ; Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
Perneczky, Robert ;  German Center for Neurodegenerative Diseases (DZNE), Munich, Germany ; Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany ; Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK ; Munich Cluster for Systems Neurology (SyNergy) Munich, Munich, Germany ; Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
Peters, Oliver;  German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany ; Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin-Institute of Psychiatry and Psychotherapy, Berlin, Germany
Priller, Josef;  German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany ; Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany ; School of Medicine, Technical University of Munich, Department of Psychiatry and Psychotherapy, Munich, Germany ; University of Edinburgh and UK DRI, Edinburgh, UK
Schneider, Anja;  German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; University of Bonn Medical Center, Department of Neurodegenerative Disease and Geriatric Psychiatry/Psychiatry, Bonn, Germany
Spottke, Annika;  German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; Department of Neurology, University of Bonn, Bonn, Germany
Teipel, Stefan;  German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany ; Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
Düzel, Emrah;  German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ; Institute of Cognitive Neurology and Dementia Research (IKND), Otto-von-Guericke University, Magdeburg, Germany
Jessen, Frank;  German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany ; Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany ; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
Wiltfang, Jens;  German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany ; Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany ; Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
Schott, Björn H;  German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany ; Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany ; Leibniz Institute for Neurobiology, Magdeburg, Germany
Kizilirmak, Jasmin M ;  German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany ; Neurodidactics and NeuroLab, Institute for Psychology, University of Hildesheim, Hildesheim, Germany
More authors (32 more) Less
External co-authors :
yes
Language :
English
Title :
Machine learning-based classification of Alzheimer's disease and its at-risk states using personality traits, anxiety, and depression.
Publication date :
October 2023
Journal title :
International Journal of Geriatric Psychiatry
ISSN :
0885-6230
eISSN :
1099-1166
Publisher :
John Wiley and Sons Ltd, England
Volume :
38
Issue :
10
Pages :
e6007
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Systems Biomedicine
Funders :
Deutsches Zentrum für Neurodegenerative Erkrankungen
Funding text :
We would like to thank all the participants in the DELCODE study and all the technical, medical, and psychological staff without whom this study would not have been possible. Special thanks go to the MRI centers at the Max-Delbrück-Center for Molecular Medicine (MDC) of the Helmholtz Association, the Center for Cognitive Neuroscience Berlin (CCNB) at the Free University of Berlin, and the Bernstein Center for Computational Neuroscience (BCCN), Berlin. The study was funded by the German Center for Neurodegenerative Diseases (DZNE), reference number BN012. Open Access funding enabled and organized by Projekt DEAL.We would like to thank all the participants in the DELCODE study and all the technical, medical, and psychological staff without whom this study would not have been possible. Special thanks go to the MRI centers at the Max‐Delbrück‐Center for Molecular Medicine (MDC) of the Helmholtz Association, the Center for Cognitive Neuroscience Berlin (CCNB) at the Free University of Berlin, and the Bernstein Center for Computational Neuroscience (BCCN), Berlin. The study was funded by the German Center for Neurodegenerative Diseases (DZNE), reference number BN012.
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