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Movement markers of schizophrenia: a detailed analysis of patients’ gait patterns
Motor abnormalities occur in the majority of persons with schizophrenia but are generally neglected in clinical care. Psychiatric diagnostics fail to include quantifiable motor variables and few assessment tools examine full-body movement. We assessed full-body movement during gait of 20 patients an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508056/ https://www.ncbi.nlm.nih.gov/pubmed/35362775 http://dx.doi.org/10.1007/s00406-022-01402-y |
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author | Martin, Lily Stein, Kevin Kubera, Katharina Troje, Nikolaus F. Fuchs, Thomas |
author_facet | Martin, Lily Stein, Kevin Kubera, Katharina Troje, Nikolaus F. Fuchs, Thomas |
author_sort | Martin, Lily |
collection | PubMed |
description | Motor abnormalities occur in the majority of persons with schizophrenia but are generally neglected in clinical care. Psychiatric diagnostics fail to include quantifiable motor variables and few assessment tools examine full-body movement. We assessed full-body movement during gait of 20 patients and 20 controls with motion capture technology, symptom load (PANSS, BPRS) and Neurological Soft Signs (NSS). In a data-driven analysis, participants’ motion patterns were quantified and compared between groups. Resulting movement markers (MM) were correlated with the clinical assessment. We identified 16 quantifiable MM of schizophrenia. While walking, patients and controls display significant differences in movement patterns related to posture, velocity, regularity of gait as well as sway, flexibility and integration of body parts. Specifically, the adjustment of body sides, limbs and movement direction were affected. The MM remain significant when controlling for medication load. They are systematically related to NSS. Results add assessment tools, analysis methods as well as theory-independent MM to the growing body of research on motor abnormalities in schizophrenia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00406-022-01402-y. |
format | Online Article Text |
id | pubmed-9508056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-95080562022-09-25 Movement markers of schizophrenia: a detailed analysis of patients’ gait patterns Martin, Lily Stein, Kevin Kubera, Katharina Troje, Nikolaus F. Fuchs, Thomas Eur Arch Psychiatry Clin Neurosci Original Paper Motor abnormalities occur in the majority of persons with schizophrenia but are generally neglected in clinical care. Psychiatric diagnostics fail to include quantifiable motor variables and few assessment tools examine full-body movement. We assessed full-body movement during gait of 20 patients and 20 controls with motion capture technology, symptom load (PANSS, BPRS) and Neurological Soft Signs (NSS). In a data-driven analysis, participants’ motion patterns were quantified and compared between groups. Resulting movement markers (MM) were correlated with the clinical assessment. We identified 16 quantifiable MM of schizophrenia. While walking, patients and controls display significant differences in movement patterns related to posture, velocity, regularity of gait as well as sway, flexibility and integration of body parts. Specifically, the adjustment of body sides, limbs and movement direction were affected. The MM remain significant when controlling for medication load. They are systematically related to NSS. Results add assessment tools, analysis methods as well as theory-independent MM to the growing body of research on motor abnormalities in schizophrenia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00406-022-01402-y. Springer Berlin Heidelberg 2022-04-01 2022 /pmc/articles/PMC9508056/ /pubmed/35362775 http://dx.doi.org/10.1007/s00406-022-01402-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Martin, Lily Stein, Kevin Kubera, Katharina Troje, Nikolaus F. Fuchs, Thomas Movement markers of schizophrenia: a detailed analysis of patients’ gait patterns |
title | Movement markers of schizophrenia: a detailed analysis of patients’ gait patterns |
title_full | Movement markers of schizophrenia: a detailed analysis of patients’ gait patterns |
title_fullStr | Movement markers of schizophrenia: a detailed analysis of patients’ gait patterns |
title_full_unstemmed | Movement markers of schizophrenia: a detailed analysis of patients’ gait patterns |
title_short | Movement markers of schizophrenia: a detailed analysis of patients’ gait patterns |
title_sort | movement markers of schizophrenia: a detailed analysis of patients’ gait patterns |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508056/ https://www.ncbi.nlm.nih.gov/pubmed/35362775 http://dx.doi.org/10.1007/s00406-022-01402-y |
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