Cargando…

Brain functional connectivity changes by low back extension pain model in low back pain patients

PURPOSE: Low back pain (LBP) is a common ailment in most developed countries. Because most cases of LBP are known as ‘non-specific’, it has been challenging to develop experimental pain models of LBP which reproduce patients’ clinical pain. In addition, previous models have limited applicability in...

Descripción completa

Detalles Bibliográficos
Autores principales: Eun, Seulgi, Lee, Jeungchan, Song, Eun-Mo, Rosa, Alexandra De, Lee, Jun-Hwan, Park, Kyungmo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263586/
https://www.ncbi.nlm.nih.gov/pubmed/32479547
http://dx.doi.org/10.1371/journal.pone.0233858
_version_ 1783540815321104384
author Eun, Seulgi
Lee, Jeungchan
Song, Eun-Mo
Rosa, Alexandra De
Lee, Jun-Hwan
Park, Kyungmo
author_facet Eun, Seulgi
Lee, Jeungchan
Song, Eun-Mo
Rosa, Alexandra De
Lee, Jun-Hwan
Park, Kyungmo
author_sort Eun, Seulgi
collection PubMed
description PURPOSE: Low back pain (LBP) is a common ailment in most developed countries. Because most cases of LBP are known as ‘non-specific’, it has been challenging to develop experimental pain models of LBP which reproduce patients’ clinical pain. In addition, previous models have limited applicability in a steady-pain-state neuroimaging environment. Thus, this study aims to devise a low back pain model with a simple methodology to induce experimental LBP, which has similar pain properties to patients’ clinical pain, and to apply the model in a steady-pain-state neuroimaging study. METHODS: Our low back extension (LBE) pain model was tested on 217 LBP patients outside the magnetic resonance imaging (MRI) scanner to determine the reproducibility of endogenous pain and the similarity to their own clinical pain (STUDY1), and applied in a steady-pain-state functional MRI study (47 LBP patients and 23 healthy controls) to determine its applicability (induced head motions and brain functional connectivity changes; STUDY2). RESULTS: By the LBE pain model, 68.2% of the LBP patients reported increased LBP with high similarity of sensations to their own clinical pain (STUDY1), and the head motions were statistically similar to and correlated with those in resting state (STUDY2). Furthermore, the LBE model altered brain functional connectivity by decreasing the default-mode and the sensorimotor networks, and increasing the salience network, which was significantly associated with the intensity of the induced pain. Conversely, the healthy controls showed increased somatosensory network (but not of the cognitive pain processing). CONCLUSION: Our investigations suggest that our LBE pain model, which increased LBP with high similarity to the LBP patients’ own pain sensation and induced patient-specific brain responses with acceptable head motion, could be applied to neuroimaging studies investigating brain responses to different levels of endogenous LBP.
format Online
Article
Text
id pubmed-7263586
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-72635862020-06-10 Brain functional connectivity changes by low back extension pain model in low back pain patients Eun, Seulgi Lee, Jeungchan Song, Eun-Mo Rosa, Alexandra De Lee, Jun-Hwan Park, Kyungmo PLoS One Research Article PURPOSE: Low back pain (LBP) is a common ailment in most developed countries. Because most cases of LBP are known as ‘non-specific’, it has been challenging to develop experimental pain models of LBP which reproduce patients’ clinical pain. In addition, previous models have limited applicability in a steady-pain-state neuroimaging environment. Thus, this study aims to devise a low back pain model with a simple methodology to induce experimental LBP, which has similar pain properties to patients’ clinical pain, and to apply the model in a steady-pain-state neuroimaging study. METHODS: Our low back extension (LBE) pain model was tested on 217 LBP patients outside the magnetic resonance imaging (MRI) scanner to determine the reproducibility of endogenous pain and the similarity to their own clinical pain (STUDY1), and applied in a steady-pain-state functional MRI study (47 LBP patients and 23 healthy controls) to determine its applicability (induced head motions and brain functional connectivity changes; STUDY2). RESULTS: By the LBE pain model, 68.2% of the LBP patients reported increased LBP with high similarity of sensations to their own clinical pain (STUDY1), and the head motions were statistically similar to and correlated with those in resting state (STUDY2). Furthermore, the LBE model altered brain functional connectivity by decreasing the default-mode and the sensorimotor networks, and increasing the salience network, which was significantly associated with the intensity of the induced pain. Conversely, the healthy controls showed increased somatosensory network (but not of the cognitive pain processing). CONCLUSION: Our investigations suggest that our LBE pain model, which increased LBP with high similarity to the LBP patients’ own pain sensation and induced patient-specific brain responses with acceptable head motion, could be applied to neuroimaging studies investigating brain responses to different levels of endogenous LBP. Public Library of Science 2020-06-01 /pmc/articles/PMC7263586/ /pubmed/32479547 http://dx.doi.org/10.1371/journal.pone.0233858 Text en © 2020 Eun et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Eun, Seulgi
Lee, Jeungchan
Song, Eun-Mo
Rosa, Alexandra De
Lee, Jun-Hwan
Park, Kyungmo
Brain functional connectivity changes by low back extension pain model in low back pain patients
title Brain functional connectivity changes by low back extension pain model in low back pain patients
title_full Brain functional connectivity changes by low back extension pain model in low back pain patients
title_fullStr Brain functional connectivity changes by low back extension pain model in low back pain patients
title_full_unstemmed Brain functional connectivity changes by low back extension pain model in low back pain patients
title_short Brain functional connectivity changes by low back extension pain model in low back pain patients
title_sort brain functional connectivity changes by low back extension pain model in low back pain patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7263586/
https://www.ncbi.nlm.nih.gov/pubmed/32479547
http://dx.doi.org/10.1371/journal.pone.0233858
work_keys_str_mv AT eunseulgi brainfunctionalconnectivitychangesbylowbackextensionpainmodelinlowbackpainpatients
AT leejeungchan brainfunctionalconnectivitychangesbylowbackextensionpainmodelinlowbackpainpatients
AT songeunmo brainfunctionalconnectivitychangesbylowbackextensionpainmodelinlowbackpainpatients
AT rosaalexandrade brainfunctionalconnectivitychangesbylowbackextensionpainmodelinlowbackpainpatients
AT leejunhwan brainfunctionalconnectivitychangesbylowbackextensionpainmodelinlowbackpainpatients
AT parkkyungmo brainfunctionalconnectivitychangesbylowbackextensionpainmodelinlowbackpainpatients