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Lesion symptom map of cognitive–postural interference in multiple sclerosis
OBJECTIVE: To investigate the disease-altered structure–function relationship underlying the cognitive–postural interference (CPI) phenomenon in multiple sclerosis (MS). METHODS: We measured postural sway of 96 patients and 48 sex-/age-matched healthy controls by force platform in quiet standing (si...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946662/ https://www.ncbi.nlm.nih.gov/pubmed/28337941 http://dx.doi.org/10.1177/1352458517701313 |
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author | Ruggieri, Serena Fanelli, Fulvia Castelli, Letizia Petsas, Nikolaos De Giglio, Laura Prosperini, Luca |
author_facet | Ruggieri, Serena Fanelli, Fulvia Castelli, Letizia Petsas, Nikolaos De Giglio, Laura Prosperini, Luca |
author_sort | Ruggieri, Serena |
collection | PubMed |
description | OBJECTIVE: To investigate the disease-altered structure–function relationship underlying the cognitive–postural interference (CPI) phenomenon in multiple sclerosis (MS). METHODS: We measured postural sway of 96 patients and 48 sex-/age-matched healthy controls by force platform in quiet standing (single-task (ST)) while performing the Stroop test (dual-task (DT)) to estimate the dual-task cost (DTC) of balance. In patient group, binary T2 and T1 lesion masks and their corresponding lesion volumes were obtained from magnetic resonance imaging (MRI) of brain. Normalized brain volume (NBV) was also estimated by SIENAX. Correlations between DTC and lesion location were determined by voxel-based lesion symptom mapping (VLSM) analyses. RESULTS: Patients had greater DTC than controls (p < 0.001). Among whole brain MRI metrics, only T1 lesion volume correlated with DTC (r = −0.27; p < 0.01). However, VLSM analysis did not reveal any association with DTC using T1 lesion masks. By contrast, we found clusters of T2 lesions in distinct anatomical regions (anterior and superior corona radiata, bilaterally) to be correlated with DTC (p < 0.01 false discovery rate (FDR)-corrected). A multivariable stepwise regression model confirmed findings from VLSM analysis. NBV did not contribute to fit the model. CONCLUSION: Our findings suggest that the CPI phenomenon in MS can be explained by disconnection along specific areas implicated in task-switching abilities and divided attention. |
format | Online Article Text |
id | pubmed-5946662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-59466622018-05-18 Lesion symptom map of cognitive–postural interference in multiple sclerosis Ruggieri, Serena Fanelli, Fulvia Castelli, Letizia Petsas, Nikolaos De Giglio, Laura Prosperini, Luca Mult Scler Original Research Papers OBJECTIVE: To investigate the disease-altered structure–function relationship underlying the cognitive–postural interference (CPI) phenomenon in multiple sclerosis (MS). METHODS: We measured postural sway of 96 patients and 48 sex-/age-matched healthy controls by force platform in quiet standing (single-task (ST)) while performing the Stroop test (dual-task (DT)) to estimate the dual-task cost (DTC) of balance. In patient group, binary T2 and T1 lesion masks and their corresponding lesion volumes were obtained from magnetic resonance imaging (MRI) of brain. Normalized brain volume (NBV) was also estimated by SIENAX. Correlations between DTC and lesion location were determined by voxel-based lesion symptom mapping (VLSM) analyses. RESULTS: Patients had greater DTC than controls (p < 0.001). Among whole brain MRI metrics, only T1 lesion volume correlated with DTC (r = −0.27; p < 0.01). However, VLSM analysis did not reveal any association with DTC using T1 lesion masks. By contrast, we found clusters of T2 lesions in distinct anatomical regions (anterior and superior corona radiata, bilaterally) to be correlated with DTC (p < 0.01 false discovery rate (FDR)-corrected). A multivariable stepwise regression model confirmed findings from VLSM analysis. NBV did not contribute to fit the model. CONCLUSION: Our findings suggest that the CPI phenomenon in MS can be explained by disconnection along specific areas implicated in task-switching abilities and divided attention. SAGE Publications 2017-03-24 2018-04 /pmc/articles/PMC5946662/ /pubmed/28337941 http://dx.doi.org/10.1177/1352458517701313 Text en © The Author(s), 2017 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Papers Ruggieri, Serena Fanelli, Fulvia Castelli, Letizia Petsas, Nikolaos De Giglio, Laura Prosperini, Luca Lesion symptom map of cognitive–postural interference in multiple sclerosis |
title | Lesion symptom map of cognitive–postural interference in multiple sclerosis |
title_full | Lesion symptom map of cognitive–postural interference in multiple sclerosis |
title_fullStr | Lesion symptom map of cognitive–postural interference in multiple sclerosis |
title_full_unstemmed | Lesion symptom map of cognitive–postural interference in multiple sclerosis |
title_short | Lesion symptom map of cognitive–postural interference in multiple sclerosis |
title_sort | lesion symptom map of cognitive–postural interference in multiple sclerosis |
topic | Original Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5946662/ https://www.ncbi.nlm.nih.gov/pubmed/28337941 http://dx.doi.org/10.1177/1352458517701313 |
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