Using Motor Imagery to Study the Neural Substrates of Dynamic Balance
Identifieur interne : 001365 ( Ncbi/Merge ); précédent : 001364; suivant : 001366Using Motor Imagery to Study the Neural Substrates of Dynamic Balance
Auteurs : Murielle Ursulla Ferraye [Pays-Bas] ; Bettina Debû [France] ; Lieke Heil [Pays-Bas] ; Mark Carpenter [Canada] ; Bastiaan Roelof Bloem [Pays-Bas] ; Ivan Toni [Pays-Bas]Source :
- PLoS ONE [ 1932-6203 ] ; 2014.
Abstract
This study examines the cerebral structures involved in dynamic balance using a motor imagery (MI) protocol. We recorded cerebral activity with functional magnetic resonance imaging while subjects imagined swaying on a balance board along the sagittal plane to point a laser at target pairs of different sizes (small, large). We used a matched visual imagery (VI) control task and recorded imagery durations during scanning. MI and VI durations were differentially influenced by the sway accuracy requirement, indicating that MI of balance is sensitive to the increased motor control necessary to point at a smaller target. Compared to VI, MI of dynamic balance recruited additional cortical and subcortical portions of the motor system, including frontal cortex, basal ganglia, cerebellum and mesencephalic locomotor region, the latter showing increased effective connectivity with the supplementary motor area. The regions involved in MI of dynamic balance were spatially distinct but contiguous to those involved in MI of gait (Bakker et al., 2008; Snijders et al., 2011; Crémers et al., 2012), in a pattern consistent with existing somatotopic maps of the trunk (for balance) and legs (for gait). These findings validate a novel, quantitative approach for studying the neural control of balance in humans. This approach extends previous reports on MI of static stance (Jahn et al., 2004, 2008), and opens the way for studying gait and balance impairments in patients with neurodegenerative disorders.
Url:
DOI: 10.1371/journal.pone.0091183
PubMed: 24663383
PubMed Central: 3963848
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<front><div type="abstract" xml:lang="en"><p>This study examines the cerebral structures involved in dynamic balance using a motor imagery (MI) protocol. We recorded cerebral activity with functional magnetic resonance imaging while subjects imagined swaying on a balance board along the sagittal plane to point a laser at target pairs of different sizes (small, large). We used a matched visual imagery (VI) control task and recorded imagery durations during scanning. MI and VI durations were differentially influenced by the sway accuracy requirement, indicating that MI of balance is sensitive to the increased motor control necessary to point at a smaller target. Compared to VI, MI of dynamic balance recruited additional cortical and subcortical portions of the motor system, including frontal cortex, basal ganglia, cerebellum and mesencephalic locomotor region, the latter showing increased effective connectivity with the supplementary motor area. The regions involved in MI of dynamic balance were spatially distinct but contiguous to those involved in MI of gait (Bakker et al., 2008; Snijders et al., 2011; Crémers et al., 2012), in a pattern consistent with existing somatotopic maps of the trunk (for balance) and legs (for gait). These findings validate a novel, quantitative approach for studying the neural control of balance in humans. This approach extends previous reports on MI of static stance (Jahn et al., 2004, 2008), and opens the way for studying gait and balance impairments in patients with neurodegenerative disorders.</p>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id>
<journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id>
<journal-title-group><journal-title>PLoS ONE</journal-title>
</journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher><publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">24663383</article-id>
<article-id pub-id-type="pmc">3963848</article-id>
<article-id pub-id-type="publisher-id">PONE-D-13-47559</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0091183</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v2"><subject>Biology and Life Sciences</subject>
<subj-group><subject>Anatomy</subject>
<subj-group><subject>Nervous System</subject>
<subj-group><subject>Motor System</subject>
</subj-group>
</subj-group>
</subj-group>
<subj-group><subject>Neuroscience</subject>
<subj-group><subject>Cognitive Neuroscience</subject>
<subj-group><subject>Motor Reactions</subject>
</subj-group>
</subj-group>
<subj-group><subject>Sensory Systems</subject>
<subj-group><subject>Visual System</subject>
</subj-group>
</subj-group>
<subj-group><subject>Behavioral Neuroscience</subject>
<subject>Neuroimaging</subject>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v2"><subject>Medicine and Health Sciences</subject>
<subj-group><subject>Diagnostic Medicine</subject>
<subj-group><subject>Diagnostic Radiology</subject>
<subj-group><subject>Magnetic Resonance Imaging</subject>
</subj-group>
</subj-group>
</subj-group>
<subj-group><subject>Radiology and Imaging</subject>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v2"><subject>Research and Analysis Methods</subject>
<subj-group><subject>Specimen Preparation and Treatment</subject>
<subj-group><subject>Mechanical Treatment of Specimens</subject>
<subj-group><subject>Specimen Disruption</subject>
<subj-group><subject>Electroporation</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</article-categories>
<title-group><article-title>Using Motor Imagery to Study the Neural Substrates of Dynamic Balance</article-title>
<alt-title alt-title-type="running-head">Neural Substrates of Dynamic Balance</alt-title>
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<contrib-group><contrib contrib-type="author"><name><surname>Ferraye</surname>
<given-names>Murielle Ursulla</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup>
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<given-names>Bettina</given-names>
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<xref ref-type="aff" rid="aff2"><sup>2</sup>
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<given-names>Lieke</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1</sup>
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<given-names>Mark</given-names>
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<xref ref-type="aff" rid="aff3"><sup>3</sup>
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<given-names>Bastiaan Roelof</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup>
</xref>
<xref ref-type="corresp" rid="cor1"><sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Toni</surname>
<given-names>Ivan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1"><label>1</label>
<addr-line>Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Nijmegen, the Netherlands</addr-line>
</aff>
<aff id="aff2"><label>2</label>
<addr-line>Grenoble Institut des Neurosciences, INSERM U838, Université de Grenoble, Grenoble, France</addr-line>
</aff>
<aff id="aff3"><label>3</label>
<addr-line>School of Kinesiology, University of British Columbia, Vancouver, Canada</addr-line>
</aff>
<aff id="aff4"><label>4</label>
<addr-line>Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands</addr-line>
</aff>
<contrib-group><contrib contrib-type="editor"><name><surname>Maurits</surname>
<given-names>Natasha M.</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1"><addr-line>University Medical Center Groningen UMCG, Netherlands</addr-line>
</aff>
<author-notes><corresp id="cor1">* E-mail: <email>b.bloem@neuro.umcn.nl</email>
</corresp>
<fn fn-type="conflict"><p><bold>Competing Interests: </bold>
The authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="con"><p>Conceived and designed the experiments: MUF BD MC BRB IT. Performed the experiments: MUF LH. Analyzed the data: MUF LH. Wrote the paper: MUF BD BRB IT.</p>
</fn>
</author-notes>
<pub-date pub-type="collection"><year>2014</year>
</pub-date>
<pub-date pub-type="epub"><day>24</day>
<month>3</month>
<year>2014</year>
</pub-date>
<volume>9</volume>
<issue>3</issue>
<elocation-id>e91183</elocation-id>
<history><date date-type="received"><day>13</day>
<month>11</month>
<year>2013</year>
</date>
<date date-type="accepted"><day>10</day>
<month>2</month>
<year>2014</year>
</date>
</history>
<permissions><copyright-year>2014</copyright-year>
<copyright-holder>Ferraye et al</copyright-holder>
<license><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>
, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<abstract><p>This study examines the cerebral structures involved in dynamic balance using a motor imagery (MI) protocol. We recorded cerebral activity with functional magnetic resonance imaging while subjects imagined swaying on a balance board along the sagittal plane to point a laser at target pairs of different sizes (small, large). We used a matched visual imagery (VI) control task and recorded imagery durations during scanning. MI and VI durations were differentially influenced by the sway accuracy requirement, indicating that MI of balance is sensitive to the increased motor control necessary to point at a smaller target. Compared to VI, MI of dynamic balance recruited additional cortical and subcortical portions of the motor system, including frontal cortex, basal ganglia, cerebellum and mesencephalic locomotor region, the latter showing increased effective connectivity with the supplementary motor area. The regions involved in MI of dynamic balance were spatially distinct but contiguous to those involved in MI of gait (Bakker et al., 2008; Snijders et al., 2011; Crémers et al., 2012), in a pattern consistent with existing somatotopic maps of the trunk (for balance) and legs (for gait). These findings validate a novel, quantitative approach for studying the neural control of balance in humans. This approach extends previous reports on MI of static stance (Jahn et al., 2004, 2008), and opens the way for studying gait and balance impairments in patients with neurodegenerative disorders.</p>
</abstract>
<funding-group><funding-statement>This work was supported by Prinses Beatrix Fonds (W.OR10-35); France Parkinson (R10078CC for M.U.F.); and the Netherlands Organisation for Scientific Research (825.10.031 for M.U.F.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts><page-count count="11"></page-count>
</counts>
</article-meta>
</front>
</pmc>
<affiliations><list><country><li>Canada</li>
<li>France</li>
<li>Pays-Bas</li>
</country>
<region><li>Auvergne-Rhône-Alpes</li>
<li>Gueldre</li>
<li>Rhône-Alpes</li>
</region>
<settlement><li>Grenoble</li>
<li>Nimègue</li>
</settlement>
</list>
<tree><country name="Pays-Bas"><region name="Gueldre"><name sortKey="Ferraye, Murielle Ursulla" sort="Ferraye, Murielle Ursulla" uniqKey="Ferraye M" first="Murielle Ursulla" last="Ferraye">Murielle Ursulla Ferraye</name>
</region>
<name sortKey="Bloem, Bastiaan Roelof" sort="Bloem, Bastiaan Roelof" uniqKey="Bloem B" first="Bastiaan Roelof" last="Bloem">Bastiaan Roelof Bloem</name>
<name sortKey="Heil, Lieke" sort="Heil, Lieke" uniqKey="Heil L" first="Lieke" last="Heil">Lieke Heil</name>
<name sortKey="Toni, Ivan" sort="Toni, Ivan" uniqKey="Toni I" first="Ivan" last="Toni">Ivan Toni</name>
</country>
<country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Debu, Bettina" sort="Debu, Bettina" uniqKey="Debu B" first="Bettina" last="Debû">Bettina Debû</name>
</region>
</country>
<country name="Canada"><noRegion><name sortKey="Carpenter, Mark" sort="Carpenter, Mark" uniqKey="Carpenter M" first="Mark" last="Carpenter">Mark Carpenter</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
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