Cargando…
Enhanced Information Flow From Cerebellum to Secondary Visual Cortices Leads to Better Surgery Outcome in Degenerative Cervical Myelopathy Patients: A Stochastic Dynamic Causal Modeling Study With Functional Magnetic Resonance Imaging
Degenerative cervical myelopathy (DCM) damages the spinal cord, resulting in long-term neurological impairment including motor and visual deficits. Given that visual feedback is crucial in guiding movements, the visual disorder may be a cause of motor deficits in patients with DCM. It has been shown...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261284/ https://www.ncbi.nlm.nih.gov/pubmed/34248520 http://dx.doi.org/10.3389/fnhum.2021.632829 |
_version_ | 1783718983081394176 |
---|---|
author | Zhao, Rui Song, Yingchao Guo, Xing Yang, Xiaotian Sun, Haoran Chen, Xukang Liang, Meng Xue, Yuan |
author_facet | Zhao, Rui Song, Yingchao Guo, Xing Yang, Xiaotian Sun, Haoran Chen, Xukang Liang, Meng Xue, Yuan |
author_sort | Zhao, Rui |
collection | PubMed |
description | Degenerative cervical myelopathy (DCM) damages the spinal cord, resulting in long-term neurological impairment including motor and visual deficits. Given that visual feedback is crucial in guiding movements, the visual disorder may be a cause of motor deficits in patients with DCM. It has been shown that increased functional connectivity between secondary visual cortices and cerebellum, which are functionally related to the visually guided movements, was correlated with motor function in patients with DCM. One possible explanation is that the information integration between these regions was increased to compensate for impaired visual acuity in patients with DCM and resulted in better visual feedback during motor function. However, direct evidence supporting this hypothesis is lacking. To test this hypothesis and explore in more detail the information flow within the “visual-cerebellum” system, we measured the effective connectivity (EC) among the “visual-cerebellum” system via dynamic causal modeling and then tested the relationship between the EC and visual ability in patients with DCM. Furthermore, the multivariate pattern analysis was performed to detect the relationship between the pattern of EC and motor function in patients with DCM. We found (1) significant increases of the bidirectional connections between bilateral secondary visual cortices and cerebellum were observed in patients with DCM; (2) the increased self-connection of the cerebellum was positively correlated with the impaired visual acuity in patients; (3) the amplitude of effectivity from the cerebellum to secondary visual cortices was positively correlated with better visual recovery following spinal cord decompression surgery; and (4) the pattern of EC among the visual-cerebellum system could be used to predict the pre-operative motor function. In conclusion, this study provided direct evidence that the increased information integration within the “visual-cerebellum” system compensated for visual impairments, which might have importance for sustaining better motor function in patients with DCM. |
format | Online Article Text |
id | pubmed-8261284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82612842021-07-08 Enhanced Information Flow From Cerebellum to Secondary Visual Cortices Leads to Better Surgery Outcome in Degenerative Cervical Myelopathy Patients: A Stochastic Dynamic Causal Modeling Study With Functional Magnetic Resonance Imaging Zhao, Rui Song, Yingchao Guo, Xing Yang, Xiaotian Sun, Haoran Chen, Xukang Liang, Meng Xue, Yuan Front Hum Neurosci Human Neuroscience Degenerative cervical myelopathy (DCM) damages the spinal cord, resulting in long-term neurological impairment including motor and visual deficits. Given that visual feedback is crucial in guiding movements, the visual disorder may be a cause of motor deficits in patients with DCM. It has been shown that increased functional connectivity between secondary visual cortices and cerebellum, which are functionally related to the visually guided movements, was correlated with motor function in patients with DCM. One possible explanation is that the information integration between these regions was increased to compensate for impaired visual acuity in patients with DCM and resulted in better visual feedback during motor function. However, direct evidence supporting this hypothesis is lacking. To test this hypothesis and explore in more detail the information flow within the “visual-cerebellum” system, we measured the effective connectivity (EC) among the “visual-cerebellum” system via dynamic causal modeling and then tested the relationship between the EC and visual ability in patients with DCM. Furthermore, the multivariate pattern analysis was performed to detect the relationship between the pattern of EC and motor function in patients with DCM. We found (1) significant increases of the bidirectional connections between bilateral secondary visual cortices and cerebellum were observed in patients with DCM; (2) the increased self-connection of the cerebellum was positively correlated with the impaired visual acuity in patients; (3) the amplitude of effectivity from the cerebellum to secondary visual cortices was positively correlated with better visual recovery following spinal cord decompression surgery; and (4) the pattern of EC among the visual-cerebellum system could be used to predict the pre-operative motor function. In conclusion, this study provided direct evidence that the increased information integration within the “visual-cerebellum” system compensated for visual impairments, which might have importance for sustaining better motor function in patients with DCM. Frontiers Media S.A. 2021-06-23 /pmc/articles/PMC8261284/ /pubmed/34248520 http://dx.doi.org/10.3389/fnhum.2021.632829 Text en Copyright © 2021 Zhao, Song, Guo, Yang, Sun, Chen, Liang and Xue. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Human Neuroscience Zhao, Rui Song, Yingchao Guo, Xing Yang, Xiaotian Sun, Haoran Chen, Xukang Liang, Meng Xue, Yuan Enhanced Information Flow From Cerebellum to Secondary Visual Cortices Leads to Better Surgery Outcome in Degenerative Cervical Myelopathy Patients: A Stochastic Dynamic Causal Modeling Study With Functional Magnetic Resonance Imaging |
title | Enhanced Information Flow From Cerebellum to Secondary Visual Cortices Leads to Better Surgery Outcome in Degenerative Cervical Myelopathy Patients: A Stochastic Dynamic Causal Modeling Study With Functional Magnetic Resonance Imaging |
title_full | Enhanced Information Flow From Cerebellum to Secondary Visual Cortices Leads to Better Surgery Outcome in Degenerative Cervical Myelopathy Patients: A Stochastic Dynamic Causal Modeling Study With Functional Magnetic Resonance Imaging |
title_fullStr | Enhanced Information Flow From Cerebellum to Secondary Visual Cortices Leads to Better Surgery Outcome in Degenerative Cervical Myelopathy Patients: A Stochastic Dynamic Causal Modeling Study With Functional Magnetic Resonance Imaging |
title_full_unstemmed | Enhanced Information Flow From Cerebellum to Secondary Visual Cortices Leads to Better Surgery Outcome in Degenerative Cervical Myelopathy Patients: A Stochastic Dynamic Causal Modeling Study With Functional Magnetic Resonance Imaging |
title_short | Enhanced Information Flow From Cerebellum to Secondary Visual Cortices Leads to Better Surgery Outcome in Degenerative Cervical Myelopathy Patients: A Stochastic Dynamic Causal Modeling Study With Functional Magnetic Resonance Imaging |
title_sort | enhanced information flow from cerebellum to secondary visual cortices leads to better surgery outcome in degenerative cervical myelopathy patients: a stochastic dynamic causal modeling study with functional magnetic resonance imaging |
topic | Human Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8261284/ https://www.ncbi.nlm.nih.gov/pubmed/34248520 http://dx.doi.org/10.3389/fnhum.2021.632829 |
work_keys_str_mv | AT zhaorui enhancedinformationflowfromcerebellumtosecondaryvisualcorticesleadstobettersurgeryoutcomeindegenerativecervicalmyelopathypatientsastochasticdynamiccausalmodelingstudywithfunctionalmagneticresonanceimaging AT songyingchao enhancedinformationflowfromcerebellumtosecondaryvisualcorticesleadstobettersurgeryoutcomeindegenerativecervicalmyelopathypatientsastochasticdynamiccausalmodelingstudywithfunctionalmagneticresonanceimaging AT guoxing enhancedinformationflowfromcerebellumtosecondaryvisualcorticesleadstobettersurgeryoutcomeindegenerativecervicalmyelopathypatientsastochasticdynamiccausalmodelingstudywithfunctionalmagneticresonanceimaging AT yangxiaotian enhancedinformationflowfromcerebellumtosecondaryvisualcorticesleadstobettersurgeryoutcomeindegenerativecervicalmyelopathypatientsastochasticdynamiccausalmodelingstudywithfunctionalmagneticresonanceimaging AT sunhaoran enhancedinformationflowfromcerebellumtosecondaryvisualcorticesleadstobettersurgeryoutcomeindegenerativecervicalmyelopathypatientsastochasticdynamiccausalmodelingstudywithfunctionalmagneticresonanceimaging AT chenxukang enhancedinformationflowfromcerebellumtosecondaryvisualcorticesleadstobettersurgeryoutcomeindegenerativecervicalmyelopathypatientsastochasticdynamiccausalmodelingstudywithfunctionalmagneticresonanceimaging AT liangmeng enhancedinformationflowfromcerebellumtosecondaryvisualcorticesleadstobettersurgeryoutcomeindegenerativecervicalmyelopathypatientsastochasticdynamiccausalmodelingstudywithfunctionalmagneticresonanceimaging AT xueyuan enhancedinformationflowfromcerebellumtosecondaryvisualcorticesleadstobettersurgeryoutcomeindegenerativecervicalmyelopathypatientsastochasticdynamiccausalmodelingstudywithfunctionalmagneticresonanceimaging |