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Unraveling Parkinso...
Unraveling Parkinson's disease heterogeneity using subtypes based on multimodal data
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- Albrecht, F. (author)
- Karolinska Institutet,Karolinska Institute,Karolinska University Hospital
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- Poulakis, K. (author)
- Karolinska Institutet,Karolinska Institute
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- Freidle, M. (author)
- Karolinska Institutet,Karolinska Institute
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- Johansson, H. (author)
- Karolinska Institutet,Karolinska Institute,Karolinska University Hospital
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- Ekman, U. (author)
- Karolinska Institutet,Karolinska Institute,Karolinska University Hospital
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- Volpe, Giovanni, 1979 (author)
- University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för fysik (GU),Department of Physics (GU)
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- Westman, E. (author)
- Karolinska Institutet,Karolinska Institute,Lund University,King's College London
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- Pereira, Joana B. (author)
- Karolinska Institutet,Karolinska Institute,Lund University,Lunds universitet,Klinisk minnesforskning,Forskargrupper vid Lunds universitet,Clinical Memory Research,Lund University Research Groups,Aging Research Center
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- Franzén, E. (author)
- Karolinska Institute,Karolinska University Hospital
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(creator_code:org_t)
- Elsevier BV, 2022
- 2022
- English.
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In: Parkinsonism and Related Disorders. - : Elsevier BV. - 1353-8020 .- 1873-5126. ; 102, s. 19-29
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Abstract
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- Background: Parkinson's disease (PD) is a clinically and neuroanatomically heterogeneous neurodegenerative disease characterized by different subtypes. To this date, no studies have used multimodal data that combines clinical, motor, cognitive and neuroimaging assessments to identify these subtypes, which may provide complementary, clinically relevant information. To address this limitation, we subtyped participants with mild-moderate PD based on a rich, multimodal dataset of clinical, cognitive, motor, and neuroimaging variables. Methods: Cross-sectional data from 95 PD participants from our randomized EXPANd (EXercise in PArkinson's disease and Neuroplasticity) controlled trial were included. Participants were subtyped using clinical, motor, and cognitive assessments as well as structural and resting-state MRI data. Subtyping was done by random forest clustering. We extracted information about the subtypes by inspecting their neuroimaging profiles and descriptive statistics. Results: Our multimodal subtyping analysis yielded three PD subtypes: a motor-cognitive subtype characterized by widespread alterations in brain structure and function as well as impairment in motor and cognitive abilities; a cognitive dominant subtype mainly impaired in cognitive function that showed frontoparietal structural and functional changes; and a motor dominant subtype impaired in motor variables without any brain alterations. Motor variables were most important for the subtyping, followed by gray matter volume in the right medial postcentral gyrus. Conclusions: Three distinct PD subtypes were identified in our multimodal dataset. The most important features to subtype PD participants were motor variables in addition to structural MRI in the sensorimotor region. These findings have the potential to improve our understanding of PD heterogeneity, which in turn can lead to personalized interventions and rehabilitation.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Geriatrik (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Geriatrics (hsv//eng)
Keyword
- Clustering
- Magnetic resonance imaging
- Parkinson's disease
- Physical activity
- Random forest
- Subtyping
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Albrecht, F.
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Poulakis, K.
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Freidle, M.
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Johansson, H.
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Ekman, U.
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Volpe, Giovanni, ...
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show more...
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Westman, E.
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Pereira, Joana B ...
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Franzén, E.
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show less...
- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Geriatrics
- Articles in the publication
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Parkinsonism and ...
- By the university
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University of Gothenburg
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Lund University
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Karolinska Institutet