Objective detection of subtle freezing of gait episodes in Parkinson's disease.
Identifieur interne : 001742 ( PubMed/Checkpoint ); précédent : 001741; suivant : 001743Objective detection of subtle freezing of gait episodes in Parkinson's disease.
Auteurs : Arnaud Delval [France] ; Anke H. Snijders ; Vivian Weerdesteyn ; Jacques E. Duysens ; Luc Defebvre [France] ; Nir Giladi ; Bastiaan R. BloemSource :
- Movement disorders : official journal of the Movement Disorder Society [ 1531-8257 ] ; 2010.
English descriptors
- KwdEn :
- Aged, Analysis of Variance, Biomechanical Phenomena (physiology), Exercise Test (methods), Female, Fourier Analysis, Freezing Reaction, Cataleptic (physiology), Gait Disorders, Neurologic (diagnosis), Gait Disorders, Neurologic (etiology), Humans, Knee Joint (physiopathology), Male, Middle Aged, Parkinson Disease (complications), ROC Curve, Single-Blind Method, Time Factors, Walking (physiology).
- MESH :
- complications : Parkinson Disease.
- diagnosis : Gait Disorders, Neurologic.
- etiology : Gait Disorders, Neurologic.
- methods : Exercise Test.
- physiology : Biomechanical Phenomena, Freezing Reaction, Cataleptic, Walking.
- physiopathology : Knee Joint.
- Aged, Analysis of Variance, Female, Fourier Analysis, Humans, Male, Middle Aged, ROC Curve, Single-Blind Method, Time Factors.
Abstract
Freezing of gait (FOG) is a clinically defined phenomenon of Parkinson's disease (PD). Recent evidence suggests that subtle FOG episodes can be elicited in a gait laboratory using suddenly appearing obstacles during treadmill walking. We evaluated which quantitative gait parameters identify such subtle FOG episodes. We included 10 PD patients with FOG, 10 PD patients without FOG, and 10 controls. Subjects walked on a motorized treadmill while avoiding unexpectedly appearing obstacles. Treadmill walking was videotaped, and FOG episodes were identified by two independent experts. Gait was also analyzed using detailed kinematics. Knee joint signals were processed using time-frequency analysis with combinations of sliding fast Fourier transform and wavelets transform. Twenty FOG episodes occurred during treadmill walking in 5 patients (all with clinically certified FOG), predominantly in relation to obstacle avoidance. FOG was brief when it occurred just before or after obstacle crossing and was characterized by short, rapid steps. Frequency analysis showed a typical qualitative pattern: before the FOG episode an increase in dominant frequency in the 0 to 3 Hz band (festination), followed by decreased power in 0 to 3 Hz band and an increased power in the 3 to 8 Hz band during the FOG episode. This pattern led to an increased FOG index as a qualitative measure. These approaches detected even very brief FOG with acceptable sensitivity (75-83%) and specificity (>95%). We conclude that time-frequency analysis is an appropriate approach to detect brief and subtle FOG episodes. Future work will need to decide whether this approach can support or even replace expert clinical opinion.
DOI: 10.1002/mds.23159
PubMed: 20544715
Affiliations:
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Snijders</name></author><author><name sortKey="Weerdesteyn, Vivian" sort="Weerdesteyn, Vivian" uniqKey="Weerdesteyn V" first="Vivian" last="Weerdesteyn">Vivian Weerdesteyn</name></author><author><name sortKey="Duysens, Jacques E" sort="Duysens, Jacques E" uniqKey="Duysens J" first="Jacques E" last="Duysens">Jacques E. Duysens</name></author><author><name sortKey="Defebvre, Luc" sort="Defebvre, Luc" uniqKey="Defebvre L" first="Luc" last="Defebvre">Luc Defebvre</name><affiliation><country>France</country><placeName><settlement type="city">Lille</settlement><region type="region" nuts="2">Nord-Pas-de-Calais</region></placeName><orgName type="university" n="3">Université Lille 2</orgName><orgName type="institution" wicri:auto="newGroup">Université Lille Nord de France</orgName></affiliation></author><author><name sortKey="Giladi, Nir" sort="Giladi, Nir" uniqKey="Giladi N" first="Nir" last="Giladi">Nir Giladi</name></author><author><name sortKey="Bloem, Bastiaan R" sort="Bloem, Bastiaan R" uniqKey="Bloem B" first="Bastiaan R" last="Bloem">Bastiaan R. Bloem</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2010">2010</date><idno type="doi">10.1002/mds.23159</idno><idno type="RBID">pubmed:20544715</idno><idno type="pmid">20544715</idno><idno type="wicri:Area/PubMed/Corpus">001811</idno><idno type="wicri:Area/PubMed/Curation">001811</idno><idno type="wicri:Area/PubMed/Checkpoint">001742</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Objective detection of subtle freezing of gait episodes in Parkinson's disease.</title><author><name sortKey="Delval, Arnaud" sort="Delval, Arnaud" uniqKey="Delval A" first="Arnaud" last="Delval">Arnaud Delval</name><affiliation wicri:level="1"><nlm:affiliation>Department of Neurology and Movement Disorders, Regional University Hospital, Lille Cedex, France. arnaud.delval@chru-lille.fr</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Department of Neurology and Movement Disorders, Regional University Hospital, Lille Cedex</wicri:regionArea><wicri:noRegion>Lille Cedex</wicri:noRegion><wicri:noRegion>Lille Cedex</wicri:noRegion></affiliation></author><author><name sortKey="Snijders, Anke H" sort="Snijders, Anke H" uniqKey="Snijders A" first="Anke H" last="Snijders">Anke H. Snijders</name></author><author><name sortKey="Weerdesteyn, Vivian" sort="Weerdesteyn, Vivian" uniqKey="Weerdesteyn V" first="Vivian" last="Weerdesteyn">Vivian Weerdesteyn</name></author><author><name sortKey="Duysens, Jacques E" sort="Duysens, Jacques E" uniqKey="Duysens J" first="Jacques E" last="Duysens">Jacques E. Duysens</name></author><author><name sortKey="Defebvre, Luc" sort="Defebvre, Luc" uniqKey="Defebvre L" first="Luc" last="Defebvre">Luc Defebvre</name><affiliation><country>France</country><placeName><settlement type="city">Lille</settlement><region type="region" nuts="2">Nord-Pas-de-Calais</region></placeName><orgName type="university" n="3">Université Lille 2</orgName><orgName type="institution" wicri:auto="newGroup">Université Lille Nord de France</orgName></affiliation></author><author><name sortKey="Giladi, Nir" sort="Giladi, Nir" uniqKey="Giladi N" first="Nir" last="Giladi">Nir Giladi</name></author><author><name sortKey="Bloem, Bastiaan R" sort="Bloem, Bastiaan R" uniqKey="Bloem B" first="Bastiaan R" last="Bloem">Bastiaan R. Bloem</name></author></analytic><series><title level="j">Movement disorders : official journal of the Movement Disorder Society</title><idno type="eISSN">1531-8257</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged</term><term>Analysis of Variance</term><term>Biomechanical Phenomena (physiology)</term><term>Exercise Test (methods)</term><term>Female</term><term>Fourier Analysis</term><term>Freezing Reaction, Cataleptic (physiology)</term><term>Gait Disorders, Neurologic (diagnosis)</term><term>Gait Disorders, Neurologic (etiology)</term><term>Humans</term><term>Knee Joint (physiopathology)</term><term>Male</term><term>Middle Aged</term><term>Parkinson Disease (complications)</term><term>ROC Curve</term><term>Single-Blind Method</term><term>Time Factors</term><term>Walking (physiology)</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Gait Disorders, Neurologic</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Gait Disorders, Neurologic</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Exercise Test</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Biomechanical Phenomena</term><term>Freezing Reaction, Cataleptic</term><term>Walking</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Knee Joint</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Analysis of Variance</term><term>Female</term><term>Fourier Analysis</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>ROC Curve</term><term>Single-Blind Method</term><term>Time Factors</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Freezing of gait (FOG) is a clinically defined phenomenon of Parkinson's disease (PD). Recent evidence suggests that subtle FOG episodes can be elicited in a gait laboratory using suddenly appearing obstacles during treadmill walking. We evaluated which quantitative gait parameters identify such subtle FOG episodes. We included 10 PD patients with FOG, 10 PD patients without FOG, and 10 controls. Subjects walked on a motorized treadmill while avoiding unexpectedly appearing obstacles. Treadmill walking was videotaped, and FOG episodes were identified by two independent experts. Gait was also analyzed using detailed kinematics. Knee joint signals were processed using time-frequency analysis with combinations of sliding fast Fourier transform and wavelets transform. Twenty FOG episodes occurred during treadmill walking in 5 patients (all with clinically certified FOG), predominantly in relation to obstacle avoidance. FOG was brief when it occurred just before or after obstacle crossing and was characterized by short, rapid steps. Frequency analysis showed a typical qualitative pattern: before the FOG episode an increase in dominant frequency in the 0 to 3 Hz band (festination), followed by decreased power in 0 to 3 Hz band and an increased power in the 3 to 8 Hz band during the FOG episode. This pattern led to an increased FOG index as a qualitative measure. These approaches detected even very brief FOG with acceptable sensitivity (75-83%) and specificity (>95%). We conclude that time-frequency analysis is an appropriate approach to detect brief and subtle FOG episodes. Future work will need to decide whether this approach can support or even replace expert clinical opinion.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">20544715</PMID><DateCreated><Year>2010</Year><Month>08</Month><Day>26</Day></DateCreated><DateCompleted><Year>2010</Year><Month>12</Month><Day>10</Day></DateCompleted><DateRevised><Year>2013</Year><Month>11</Month><Day>21</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1531-8257</ISSN><JournalIssue CitedMedium="Internet"><Volume>25</Volume><Issue>11</Issue><PubDate><Year>2010</Year><Month>Aug</Month><Day>15</Day></PubDate></JournalIssue><Title>Movement disorders : official journal of the Movement Disorder Society</Title><ISOAbbreviation>Mov. Disord.</ISOAbbreviation></Journal><ArticleTitle>Objective detection of subtle freezing of gait episodes in Parkinson's disease.</ArticleTitle><Pagination><MedlinePgn>1684-93</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1002/mds.23159</ELocationID><Abstract><AbstractText>Freezing of gait (FOG) is a clinically defined phenomenon of Parkinson's disease (PD). Recent evidence suggests that subtle FOG episodes can be elicited in a gait laboratory using suddenly appearing obstacles during treadmill walking. We evaluated which quantitative gait parameters identify such subtle FOG episodes. We included 10 PD patients with FOG, 10 PD patients without FOG, and 10 controls. Subjects walked on a motorized treadmill while avoiding unexpectedly appearing obstacles. Treadmill walking was videotaped, and FOG episodes were identified by two independent experts. Gait was also analyzed using detailed kinematics. Knee joint signals were processed using time-frequency analysis with combinations of sliding fast Fourier transform and wavelets transform. Twenty FOG episodes occurred during treadmill walking in 5 patients (all with clinically certified FOG), predominantly in relation to obstacle avoidance. FOG was brief when it occurred just before or after obstacle crossing and was characterized by short, rapid steps. Frequency analysis showed a typical qualitative pattern: before the FOG episode an increase in dominant frequency in the 0 to 3 Hz band (festination), followed by decreased power in 0 to 3 Hz band and an increased power in the 3 to 8 Hz band during the FOG episode. This pattern led to an increased FOG index as a qualitative measure. These approaches detected even very brief FOG with acceptable sensitivity (75-83%) and specificity (>95%). We conclude that time-frequency analysis is an appropriate approach to detect brief and subtle FOG episodes. Future work will need to decide whether this approach can support or even replace expert clinical opinion.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Delval</LastName><ForeName>Arnaud</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Neurology and Movement Disorders, Regional University Hospital, Lille Cedex, France. arnaud.delval@chru-lille.fr</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Snijders</LastName><ForeName>Anke H</ForeName><Initials>AH</Initials></Author><Author ValidYN="Y"><LastName>Weerdesteyn</LastName><ForeName>Vivian</ForeName><Initials>V</Initials></Author><Author ValidYN="Y"><LastName>Duysens</LastName><ForeName>Jacques E</ForeName><Initials>JE</Initials></Author><Author ValidYN="Y"><LastName>Defebvre</LastName><ForeName>Luc</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Giladi</LastName><ForeName>Nir</ForeName><Initials>N</Initials></Author><Author ValidYN="Y"><LastName>Bloem</LastName><ForeName>Bastiaan R</ForeName><Initials>BR</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Mov Disord</MedlineTA><NlmUniqueID>8610688</NlmUniqueID><ISSNLinking>0885-3185</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000368">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000704">Analysis of Variance</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D001696">Biomechanical Phenomena</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005080">Exercise Test</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005260">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D005583">Fourier Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D046352">Freezing Reaction, Cataleptic</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000502">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D020233">Gait Disorders, Neurologic</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000175">diagnosis</QualifierName><QualifierName MajorTopicYN="Y" UI="Q000209">etiology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007719">Knee Joint</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000503">physiopathology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008297">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008875">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D010300">Parkinson Disease</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000150">complications</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D012372">ROC Curve</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D016037">Single-Blind Method</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013997">Time Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D016138">Walking</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000502">physiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>6</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>6</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2010</Year><Month>12</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1002/mds.23159</ArticleId><ArticleId IdType="pubmed">20544715</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country><region><li>Nord-Pas-de-Calais</li></region><settlement><li>Lille</li></settlement><orgName><li>Université Lille 2</li><li>Université Lille Nord de France</li></orgName></list><tree><noCountry><name sortKey="Bloem, Bastiaan R" sort="Bloem, Bastiaan R" uniqKey="Bloem B" first="Bastiaan R" last="Bloem">Bastiaan R. Bloem</name><name sortKey="Duysens, Jacques E" sort="Duysens, Jacques E" uniqKey="Duysens J" first="Jacques E" last="Duysens">Jacques E. Duysens</name><name sortKey="Giladi, Nir" sort="Giladi, Nir" uniqKey="Giladi N" first="Nir" last="Giladi">Nir Giladi</name><name sortKey="Snijders, Anke H" sort="Snijders, Anke H" uniqKey="Snijders A" first="Anke H" last="Snijders">Anke H. Snijders</name><name sortKey="Weerdesteyn, Vivian" sort="Weerdesteyn, Vivian" uniqKey="Weerdesteyn V" first="Vivian" last="Weerdesteyn">Vivian Weerdesteyn</name></noCountry><country name="France"><noRegion><name sortKey="Delval, Arnaud" sort="Delval, Arnaud" uniqKey="Delval A" first="Arnaud" last="Delval">Arnaud Delval</name></noRegion><name sortKey="Defebvre, Luc" sort="Defebvre, Luc" uniqKey="Defebvre L" first="Luc" last="Defebvre">Luc Defebvre</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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