Objective Detection of Subtle Freezing of Gait Episodes in Parkinson's Disease
Identifieur interne : 000936 ( PascalFrancis/Checkpoint ); précédent : 000935; suivant : 000937Objective Detection of Subtle Freezing of Gait Episodes in Parkinson's Disease
Auteurs : Arnaud Delval [France, Pays-Bas] ; Anke H. Snijders [Pays-Bas] ; Vivian Weerdesteyn [Pays-Bas] ; Jacques E. Duysens [Pays-Bas] ; Luc Defebvre [France] ; Nir Giladi [Israël] ; Bastiaan R. Bloem [Pays-Bas]Source :
- Movement disorders [ 0885-3185 ] ; 2010.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Congélation.
English descriptors
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.
Affiliations:
- France, Israël, Pays-Bas
- Gueldre, Nord-Pas-de-Calais
- Lille, Nimègue
- Université Lille 2, Université Lille Nord de France
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Bloem</name><affiliation wicri:level="3"><inist:fA14 i1="03"><s1>Department of Neurology, Donders Center for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>7 aut.</sZ></inist:fA14><country>Pays-Bas</country><placeName><settlement type="city">Nimègue</settlement><region type="province" nuts="2">Gueldre</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">10-0413292</idno><date when="2010">2010</date><idno type="stanalyst">PASCAL 10-0413292 INIST</idno><idno type="RBID">Pascal:10-0413292</idno><idno type="wicri:Area/PascalFrancis/Corpus">000947</idno><idno type="wicri:Area/PascalFrancis/Curation">002372</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000936</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">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"><inist:fA14 i1="01"><s1>Department of Neurology and Movement Disorders, Regional University Hospital</s1><s2>Lille</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>5 aut.</sZ></inist:fA14><country>France</country><placeName><settlement type="city">Lille</settlement></placeName></affiliation><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Department of Clinical Neurophysiology, Regional University Hospital</s1><s2>Lille</s2><s3>FRA</s3><sZ>1 aut.</sZ></inist:fA14><country>France</country><placeName><settlement type="city">Lille</settlement></placeName></affiliation><affiliation wicri:level="3"><inist:fA14 i1="03"><s1>Department of Neurology, Donders Center for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>7 aut.</sZ></inist:fA14><country>Pays-Bas</country><placeName><settlement type="city">Nimègue</settlement><region type="province" nuts="2">Gueldre</region></placeName></affiliation></author><author><name sortKey="Snijders, Anke H" sort="Snijders, Anke H" uniqKey="Snijders A" first="Anke H." last="Snijders">Anke H. Snijders</name><affiliation wicri:level="3"><inist:fA14 i1="03"><s1>Department of Neurology, Donders Center for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>7 aut.</sZ></inist:fA14><country>Pays-Bas</country><placeName><settlement type="city">Nimègue</settlement><region type="province" nuts="2">Gueldre</region></placeName></affiliation></author><author><name sortKey="Weerdesteyn, Vivian" sort="Weerdesteyn, Vivian" uniqKey="Weerdesteyn V" first="Vivian" last="Weerdesteyn">Vivian Weerdesteyn</name><affiliation wicri:level="3"><inist:fA14 i1="04"><s1>Department of Rehabilitation, Radboud University Nijmegen Medical Centre</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Pays-Bas</country><placeName><settlement type="city">Nimègue</settlement><region type="province" nuts="2">Gueldre</region></placeName></affiliation></author><author><name sortKey="Duysens, Jacques E" sort="Duysens, Jacques E" uniqKey="Duysens J" first="Jacques E." last="Duysens">Jacques E. Duysens</name><affiliation wicri:level="3"><inist:fA14 i1="04"><s1>Department of Rehabilitation, Radboud University Nijmegen Medical Centre</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>Pays-Bas</country><placeName><settlement type="city">Nimègue</settlement><region type="province" nuts="2">Gueldre</region></placeName></affiliation></author><author><name sortKey="Defebvre, Luc" sort="Defebvre, Luc" uniqKey="Defebvre L" first="Luc" last="Defebvre">Luc Defebvre</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Neurology and Movement Disorders, Regional University Hospital</s1><s2>Lille</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>5 aut.</sZ></inist:fA14><country>France</country><placeName><settlement type="city">Lille</settlement></placeName><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><affiliation wicri:level="1"><inist:fA14 i1="05"><s1>Movement Disorders Unit, Department of Neurology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University</s1><s2>Tel-Aviv</s2><s3>ISR</s3><sZ>6 aut.</sZ></inist:fA14><country>Israël</country><wicri:noRegion>Tel-Aviv</wicri:noRegion></affiliation></author><author><name sortKey="Bloem, Bastiaan R" sort="Bloem, Bastiaan R" uniqKey="Bloem B" first="Bastiaan R." last="Bloem">Bastiaan R. Bloem</name><affiliation wicri:level="3"><inist:fA14 i1="03"><s1>Department of Neurology, Donders Center for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>7 aut.</sZ></inist:fA14><country>Pays-Bas</country><placeName><settlement type="city">Nimègue</settlement><region type="province" nuts="2">Gueldre</region></placeName></affiliation></author></analytic><series><title level="j" type="main">Movement disorders</title><title level="j" type="abbreviated">Mov. disord.</title><idno type="ISSN">0885-3185</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Movement disorders</title><title level="j" type="abbreviated">Mov. disord.</title><idno type="ISSN">0885-3185</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Freezing</term><term>Medical screening</term><term>Nervous system diseases</term><term>Parkinson disease</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Maladie de Parkinson</term><term>Pathologie du système nerveux</term><term>Dépistage</term><term>Congélation</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Congélation</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><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0885-3185</s0></fA01><fA03 i2="1"><s0>Mov. disord.</s0></fA03><fA05><s2>25</s2></fA05><fA06><s2>11</s2></fA06><fA08 i1="01" i2="1" l="ENG"><s1>Objective Detection of Subtle Freezing of Gait Episodes in Parkinson's Disease</s1></fA08><fA11 i1="01" i2="1"><s1>DELVAL (Arnaud)</s1></fA11><fA11 i1="02" i2="1"><s1>SNIJDERS (Anke H.)</s1></fA11><fA11 i1="03" i2="1"><s1>WEERDESTEYN (Vivian)</s1></fA11><fA11 i1="04" i2="1"><s1>DUYSENS (Jacques E.)</s1></fA11><fA11 i1="05" i2="1"><s1>DEFEBVRE (Luc)</s1></fA11><fA11 i1="06" i2="1"><s1>GILADI (Nir)</s1></fA11><fA11 i1="07" i2="1"><s1>BLOEM (Bastiaan R.)</s1></fA11><fA14 i1="01"><s1>Department of Neurology and Movement Disorders, Regional University Hospital</s1><s2>Lille</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>5 aut.</sZ></fA14><fA14 i1="02"><s1>Department of Clinical Neurophysiology, Regional University Hospital</s1><s2>Lille</s2><s3>FRA</s3><sZ>1 aut.</sZ></fA14><fA14 i1="03"><s1>Department of Neurology, Donders Center for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>7 aut.</sZ></fA14><fA14 i1="04"><s1>Department of Rehabilitation, Radboud University Nijmegen Medical Centre</s1><s2>Nijmegen</s2><s3>NLD</s3><sZ>3 aut.</sZ><sZ>4 aut.</sZ></fA14><fA14 i1="05"><s1>Movement Disorders Unit, Department of Neurology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University</s1><s2>Tel-Aviv</s2><s3>ISR</s3><sZ>6 aut.</sZ></fA14><fA20><s1>1684-1693</s1></fA20><fA21><s1>2010</s1></fA21><fA23 i1="01"><s0>ENG</s0></fA23><fA43 i1="01"><s1>INIST</s1><s2>20953</s2><s5>354000192608100220</s5></fA43><fA44><s0>0000</s0><s1>© 2010 INIST-CNRS. All rights reserved.</s1></fA44><fA45><s0>30 ref.</s0></fA45><fA47 i1="01" i2="1"><s0>10-0413292</s0></fA47><fA60><s1>P</s1></fA60><fA61><s0>A</s0></fA61><fA64 i1="01" i2="1"><s0>Movement disorders</s0></fA64><fA66 i1="01"><s0>USA</s0></fA66><fC01 i1="01" l="ENG"><s0>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. 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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="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></country><country name="Israël"><noRegion><name sortKey="Giladi, Nir" sort="Giladi, Nir" uniqKey="Giladi N" first="Nir" last="Giladi">Nir Giladi</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|type= RBID
|clé= Pascal:10-0413292
|texte= Objective Detection of Subtle Freezing of Gait Episodes in Parkinson's Disease
}}
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