Data fusion detects consistent relations between non-lesional white matter myelin, executive function, and clinical characteristics in multiple sclerosis
We examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were assessed using MRI-based myelin water imaging (MWI), and average myelin water fraction (MWF) values across 20 white matter regions of interest (ROIs)...
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| Published in | NeuroImage clinical Vol. 24; p. 101926 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Netherlands
Elsevier Inc
01.01.2019
Elsevier |
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| Online Access | Get full text |
| ISSN | 2213-1582 2213-1582 |
| DOI | 10.1016/j.nicl.2019.101926 |
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| Abstract | We examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were assessed using MRI-based myelin water imaging (MWI), and average myelin water fraction (MWF) values across 20 white matter regions of interest (ROIs) were determined. A data-fusion method, multiset canonical correlation analysis (MCCA), was used to investigate the multivariate, deterministic joint relations between MWF, executive function, and demographic and clinical characteristics. MCCA revealed one significant component (p = 0.009) which consisted of three linked profiles, with a pairwise correlation between the MWF and cognitive profiles of r = 0.37, a correlation between MWF and demographics profiles of r = 0.31, and between cognitive and demographics profiles r = 0.64. White matter ROIs representing long-range intra-hemispheric tracts and ROIs connecting the two hemispheres were positively related through their individual profiles to overall cognitive performance, education and female gender, while age, EDSS, and disease duration were related negatively. Surprisingly, lesions within the ROIs had a negligible effect on overall relations between imaging, cognitive, and demographic variables. These findings indicate that there is a strong association between a pattern of MWF values and cognitive performance in MS, which is modulated by age, education, and disease severity. Moreover, this consistent relation involves multiple white matter regions and is separate from the influence of lesions.
•White matter myelination, cognitive performance, and demographic and clinical variables are all consistently linked in MS.•Multivariate approach links imaging, cognitive, and clinical features in joint analysis.•Education promotes cognitive performance and myelin content.•Age and disease severity are negatively associated with myelination and cognitive performance.•Demyelination in lesions had minimal impact on overall relation between imaging, cognitive, and demographic characteristic. |
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| AbstractList | We examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were assessed using MRI-based myelin water imaging (MWI), and average myelin water fraction (MWF) values across 20 white matter regions of interest (ROIs) were determined. A data-fusion method, multiset canonical correlation analysis (MCCA), was used to investigate the multivariate, deterministic joint relations between MWF, executive function, and demographic and clinical characteristics. MCCA revealed one significant component (p = 0.009) which consisted of three linked profiles, with a pairwise correlation between the MWF and cognitive profiles of r = 0.37, a correlation between MWF and demographics profiles of r = 0.31, and between cognitive and demographics profiles r = 0.64. White matter ROIs representing long-range intra-hemispheric tracts and ROIs connecting the two hemispheres were positively related through their individual profiles to overall cognitive performance, education and female gender, while age, EDSS, and disease duration were related negatively. Surprisingly, lesions within the ROIs had a negligible effect on overall relations between imaging, cognitive, and demographic variables. These findings indicate that there is a strong association between a pattern of MWF values and cognitive performance in MS, which is modulated by age, education, and disease severity. Moreover, this consistent relation involves multiple white matter regions and is separate from the influence of lesions. Keywords: Myelin water fraction, Cognitive performance, Multiset canonical correlation analysis, Multiple sclerosis, Brain We examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were assessed using MRI-based myelin water imaging (MWI), and average myelin water fraction (MWF) values across 20 white matter regions of interest (ROIs) were determined. A data-fusion method, multiset canonical correlation analysis (MCCA), was used to investigate the multivariate, deterministic joint relations between MWF, executive function, and demographic and clinical characteristics. MCCA revealed one significant component (p = 0.009) which consisted of three linked profiles, with a pairwise correlation between the MWF and cognitive profiles of r = 0.37, a correlation between MWF and demographics profiles of r = 0.31, and between cognitive and demographics profiles r = 0.64. White matter ROIs representing long-range intra-hemispheric tracts and ROIs connecting the two hemispheres were positively related through their individual profiles to overall cognitive performance, education and female gender, while age, EDSS, and disease duration were related negatively. Surprisingly, lesions within the ROIs had a negligible effect on overall relations between imaging, cognitive, and demographic variables. These findings indicate that there is a strong association between a pattern of MWF values and cognitive performance in MS, which is modulated by age, education, and disease severity. Moreover, this consistent relation involves multiple white matter regions and is separate from the influence of lesions. •White matter myelination, cognitive performance, and demographic and clinical variables are all consistently linked in MS.•Multivariate approach links imaging, cognitive, and clinical features in joint analysis.•Education promotes cognitive performance and myelin content.•Age and disease severity are negatively associated with myelination and cognitive performance.•Demyelination in lesions had minimal impact on overall relation between imaging, cognitive, and demographic characteristic. We examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were assessed using MRI-based myelin water imaging (MWI), and average myelin water fraction (MWF) values across 20 white matter regions of interest (ROIs) were determined. A data-fusion method, multiset canonical correlation analysis (MCCA), was used to investigate the multivariate, deterministic joint relations between MWF, executive function, and demographic and clinical characteristics. MCCA revealed one significant component (p = 0.009) which consisted of three linked profiles, with a pairwise correlation between the MWF and cognitive profiles of r = 0.37, a correlation between MWF and demographics profiles of r = 0.31, and between cognitive and demographics profiles r = 0.64. White matter ROIs representing long-range intra-hemispheric tracts and ROIs connecting the two hemispheres were positively related through their individual profiles to overall cognitive performance, education and female gender, while age, EDSS, and disease duration were related negatively. Surprisingly, lesions within the ROIs had a negligible effect on overall relations between imaging, cognitive, and demographic variables. These findings indicate that there is a strong association between a pattern of MWF values and cognitive performance in MS, which is modulated by age, education, and disease severity. Moreover, this consistent relation involves multiple white matter regions and is separate from the influence of lesions. • White matter myelination, cognitive performance, and demographic and clinical variables are all consistently linked in MS. • Multivariate approach links imaging, cognitive, and clinical features in joint analysis. • Education promotes cognitive performance and myelin content. • Age and disease severity are negatively associated with myelination and cognitive performance. • Demyelination in lesions had minimal impact on overall relation between imaging, cognitive, and demographic characteristic. AbstractWe examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were assessed using MRI-based myelin water imaging (MWI), and average myelin water fraction (MWF) values across 20 white matter regions of interest (ROIs) were determined. A data-fusion method, multiset canonical correlation analysis (MCCA), was used to investigate the multivariate, deterministic joint relations between MWF, executive function, and demographic and clinical characteristics. MCCA revealed one significant component (p = 0.009) which consisted of three linked profiles, with a pairwise correlation between the MWF and cognitive profiles of r = 0.37, a correlation between MWF and demographics profiles of r = 0.31, and between cognitive and demographics profiles r = 0.64. White matter ROIs representing long-range intra-hemispheric tracts and ROIs connecting the two hemispheres were positively related through their individual profiles to overall cognitive performance, education and female gender, while age, EDSS, and disease duration were related negatively. Surprisingly, lesions within the ROIs had a negligible effect on overall relations between imaging, cognitive, and demographic variables. These findings indicate that there is a strong association between a pattern of MWF values and cognitive performance in MS, which is modulated by age, education, and disease severity. Moreover, this consistent relation involves multiple white matter regions and is separate from the influence of lesions. We examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were assessed using MRI-based myelin water imaging (MWI), and average myelin water fraction (MWF) values across 20 white matter regions of interest (ROIs) were determined. A data-fusion method, multiset canonical correlation analysis (MCCA), was used to investigate the multivariate, deterministic joint relations between MWF, executive function, and demographic and clinical characteristics. MCCA revealed one significant component (p = 0.009) which consisted of three linked profiles, with a pairwise correlation between the MWF and cognitive profiles of r = 0.37, a correlation between MWF and demographics profiles of r = 0.31, and between cognitive and demographics profiles r = 0.64. White matter ROIs representing long-range intra-hemispheric tracts and ROIs connecting the two hemispheres were positively related through their individual profiles to overall cognitive performance, education and female gender, while age, EDSS, and disease duration were related negatively. Surprisingly, lesions within the ROIs had a negligible effect on overall relations between imaging, cognitive, and demographic variables. These findings indicate that there is a strong association between a pattern of MWF values and cognitive performance in MS, which is modulated by age, education, and disease severity. Moreover, this consistent relation involves multiple white matter regions and is separate from the influence of lesions. We examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were assessed using MRI-based myelin water imaging (MWI), and average myelin water fraction (MWF) values across 20 white matter regions of interest (ROIs) were determined. A data-fusion method, multiset canonical correlation analysis (MCCA), was used to investigate the multivariate, deterministic joint relations between MWF, executive function, and demographic and clinical characteristics. MCCA revealed one significant component (p = 0.009) which consisted of three linked profiles, with a pairwise correlation between the MWF and cognitive profiles of r = 0.37, a correlation between MWF and demographics profiles of r = 0.31, and between cognitive and demographics profiles r = 0.64. White matter ROIs representing long-range intra-hemispheric tracts and ROIs connecting the two hemispheres were positively related through their individual profiles to overall cognitive performance, education and female gender, while age, EDSS, and disease duration were related negatively. Surprisingly, lesions within the ROIs had a negligible effect on overall relations between imaging, cognitive, and demographic variables. These findings indicate that there is a strong association between a pattern of MWF values and cognitive performance in MS, which is modulated by age, education, and disease severity. Moreover, this consistent relation involves multiple white matter regions and is separate from the influence of lesions.We examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were assessed using MRI-based myelin water imaging (MWI), and average myelin water fraction (MWF) values across 20 white matter regions of interest (ROIs) were determined. A data-fusion method, multiset canonical correlation analysis (MCCA), was used to investigate the multivariate, deterministic joint relations between MWF, executive function, and demographic and clinical characteristics. MCCA revealed one significant component (p = 0.009) which consisted of three linked profiles, with a pairwise correlation between the MWF and cognitive profiles of r = 0.37, a correlation between MWF and demographics profiles of r = 0.31, and between cognitive and demographics profiles r = 0.64. White matter ROIs representing long-range intra-hemispheric tracts and ROIs connecting the two hemispheres were positively related through their individual profiles to overall cognitive performance, education and female gender, while age, EDSS, and disease duration were related negatively. Surprisingly, lesions within the ROIs had a negligible effect on overall relations between imaging, cognitive, and demographic variables. These findings indicate that there is a strong association between a pattern of MWF values and cognitive performance in MS, which is modulated by age, education, and disease severity. Moreover, this consistent relation involves multiple white matter regions and is separate from the influence of lesions. |
| ArticleNumber | 101926 |
| Author | Lin, Sue-Jin Kosaka, Brenda McKeown, Martin J. MacKay, Alex Traboulsee, Anthony Baumeister, Tobias R. Kolind, Shannon Li, David K.B. Vavasour, Irene |
| AuthorAffiliation | b Graduate Program in Neuroscience, The University of British Columbia, Canada e Department of Physics and Astronomy, The University of British Columbia, Canada c Department of Radiology, The University of British Columbia, Canada d Faculty of Medicine, Division of Neurology, The University of British Columbia, Canada a School of Biomedical Engineering, The University of British Columbia, Canada f Department of Psychiatry, The University of British Columbia, Canada |
| AuthorAffiliation_xml | – name: c Department of Radiology, The University of British Columbia, Canada – name: b Graduate Program in Neuroscience, The University of British Columbia, Canada – name: e Department of Physics and Astronomy, The University of British Columbia, Canada – name: d Faculty of Medicine, Division of Neurology, The University of British Columbia, Canada – name: f Department of Psychiatry, The University of British Columbia, Canada – name: a School of Biomedical Engineering, The University of British Columbia, Canada |
| Author_xml | – sequence: 1 givenname: Tobias R. surname: Baumeister fullname: Baumeister, Tobias R. organization: School of Biomedical Engineering, The University of British Columbia, Canada – sequence: 2 givenname: Sue-Jin orcidid: 0000-0003-0044-7446 surname: Lin fullname: Lin, Sue-Jin organization: Graduate Program in Neuroscience, The University of British Columbia, Canada – sequence: 3 givenname: Irene surname: Vavasour fullname: Vavasour, Irene organization: Department of Radiology, The University of British Columbia, Canada – sequence: 4 givenname: Shannon surname: Kolind fullname: Kolind, Shannon organization: Department of Radiology, The University of British Columbia, Canada – sequence: 5 givenname: Brenda surname: Kosaka fullname: Kosaka, Brenda organization: Department of Psychiatry, The University of British Columbia, Canada – sequence: 6 givenname: David K.B. surname: Li fullname: Li, David K.B. organization: Department of Radiology, The University of British Columbia, Canada – sequence: 7 givenname: Anthony orcidid: 0000-0002-0351-9639 surname: Traboulsee fullname: Traboulsee, Anthony organization: Department of Radiology, The University of British Columbia, Canada – sequence: 8 givenname: Alex surname: MacKay fullname: MacKay, Alex organization: Department of Radiology, The University of British Columbia, Canada – sequence: 9 givenname: Martin J. surname: McKeown fullname: McKeown, Martin J. email: martin.mckeown@ubc.ca organization: Faculty of Medicine, Division of Neurology, The University of British Columbia, Canada |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31412310$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1016_j_msard_2021_103442 crossref_primary_10_3389_fnins_2023_1235524 crossref_primary_10_1016_j_msard_2022_103646 crossref_primary_10_1093_brain_awac436 crossref_primary_10_1002_brb3_3334 crossref_primary_10_1002_hbm_25090 crossref_primary_10_1111_jnc_16170 crossref_primary_10_3233_JAD_201134 |
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| Keywords | Myelin water fraction Brain Cognitive performance Multiple sclerosis Multiset canonical correlation analysis |
| Language | English |
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| Snippet | We examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were assessed... AbstractWe examined the influence of dysfunctional, non-lesional white matter on cognitive performance in multiple sclerosis (MS). Forty-six MS subjects were... |
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| SubjectTerms | Adult Brain Cognitive performance Data Interpretation, Statistical Executive Function - physiology Female Humans Magnetic Resonance Imaging - methods Male Middle Aged Multiple sclerosis Multiple Sclerosis, Relapsing-Remitting - diagnostic imaging Multiple Sclerosis, Relapsing-Remitting - physiopathology Multiple Sclerosis, Relapsing-Remitting - psychology Multiset canonical correlation analysis Multivariate Analysis Myelin Sheath - pathology Myelin water fraction Pyramidal Tracts - diagnostic imaging Radiology Regular White Matter - diagnostic imaging |
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| Title | Data fusion detects consistent relations between non-lesional white matter myelin, executive function, and clinical characteristics in multiple sclerosis |
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