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White matter microstructure predicts measures of clinical symptoms in chronic back pain patients

Chronic back pain (CBP) has extensive clinical and social implications for its sufferers and is a major source of disability. Chronic pain has previously been shown to have central neural factors underpinning it, including the loss of white matter (WM), however traditional methods of analyzing WM mi...

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Autores principales: Robertson, Jason W., Aristi, Guillermo, Hashmi, Javeria A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850203/
https://www.ncbi.nlm.nih.gov/pubmed/36621020
http://dx.doi.org/10.1016/j.nicl.2022.103309
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author Robertson, Jason W.
Aristi, Guillermo
Hashmi, Javeria A.
author_facet Robertson, Jason W.
Aristi, Guillermo
Hashmi, Javeria A.
author_sort Robertson, Jason W.
collection PubMed
description Chronic back pain (CBP) has extensive clinical and social implications for its sufferers and is a major source of disability. Chronic pain has previously been shown to have central neural factors underpinning it, including the loss of white matter (WM), however traditional methods of analyzing WM microstructure have produced mixed and unclear results. To better understand these factors, we assessed the WM microstructure of 50 patients and 40 healthy controls (HC) using diffusion-weighted imaging. The data were analyzed using fixel-based analysis (FBA), a higher-order diffusion modelling technique applied to CBP for the first time here. Subjects also answered questionnaires relating to pain, disability, catastrophizing, and mood disorders, to establish the relationship between fixelwise metrics and clinical symptoms. FBA determined that, compared to HC, CBP patients had: 1) lower fibre density (FD) in several tracts, specifically the right anterior and bilateral superior thalamic radiations, right spinothalamic tract, right middle cerebellar peduncle, and the body and splenium of corpus callosum; 2) higher FD in the genu of corpus callosum; and 3) lower FDC – a combined fibre density and cross-section measure – in the bilateral spinothalamic tracts and right anterior thalamic radiation. Exploratory correlations showed strong negative relationships between fixelwise metrics and clinical questionnaire scores, especially pain catastrophizing. These results have important implications for the intake and processing of sensory data in CBP that warrant further investigation.
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spelling pubmed-98502032023-01-20 White matter microstructure predicts measures of clinical symptoms in chronic back pain patients Robertson, Jason W. Aristi, Guillermo Hashmi, Javeria A. Neuroimage Clin Regular Article Chronic back pain (CBP) has extensive clinical and social implications for its sufferers and is a major source of disability. Chronic pain has previously been shown to have central neural factors underpinning it, including the loss of white matter (WM), however traditional methods of analyzing WM microstructure have produced mixed and unclear results. To better understand these factors, we assessed the WM microstructure of 50 patients and 40 healthy controls (HC) using diffusion-weighted imaging. The data were analyzed using fixel-based analysis (FBA), a higher-order diffusion modelling technique applied to CBP for the first time here. Subjects also answered questionnaires relating to pain, disability, catastrophizing, and mood disorders, to establish the relationship between fixelwise metrics and clinical symptoms. FBA determined that, compared to HC, CBP patients had: 1) lower fibre density (FD) in several tracts, specifically the right anterior and bilateral superior thalamic radiations, right spinothalamic tract, right middle cerebellar peduncle, and the body and splenium of corpus callosum; 2) higher FD in the genu of corpus callosum; and 3) lower FDC – a combined fibre density and cross-section measure – in the bilateral spinothalamic tracts and right anterior thalamic radiation. Exploratory correlations showed strong negative relationships between fixelwise metrics and clinical questionnaire scores, especially pain catastrophizing. These results have important implications for the intake and processing of sensory data in CBP that warrant further investigation. Elsevier 2022-12-27 /pmc/articles/PMC9850203/ /pubmed/36621020 http://dx.doi.org/10.1016/j.nicl.2022.103309 Text en © 2022 Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Robertson, Jason W.
Aristi, Guillermo
Hashmi, Javeria A.
White matter microstructure predicts measures of clinical symptoms in chronic back pain patients
title White matter microstructure predicts measures of clinical symptoms in chronic back pain patients
title_full White matter microstructure predicts measures of clinical symptoms in chronic back pain patients
title_fullStr White matter microstructure predicts measures of clinical symptoms in chronic back pain patients
title_full_unstemmed White matter microstructure predicts measures of clinical symptoms in chronic back pain patients
title_short White matter microstructure predicts measures of clinical symptoms in chronic back pain patients
title_sort white matter microstructure predicts measures of clinical symptoms in chronic back pain patients
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850203/
https://www.ncbi.nlm.nih.gov/pubmed/36621020
http://dx.doi.org/10.1016/j.nicl.2022.103309
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