MovDisordV3, PascalFrancis, Corpus, bibRecord, 000947

Objective Detection of Subtle Freezing of Gait Episodes in Parkinson's Disease

Identifieur interne : 000947 ( PascalFrancis/Corpus ); précédent : 000946; suivant : 000948

Objective Detection of Subtle Freezing of Gait Episodes in Parkinson's Disease

Auteurs : Arnaud Delval ; Anke H. Snijders ; Vivian Weerdesteyn ; Jacques E. Duysens ; Luc Defebvre ; Nir Giladi ; Bastiaan R. Bloem

Source :

Movement disorders [ 0885-3185 ] ; 2010.

RBID : Pascal:10-0413292

Descripteurs français

Pascal (Inist)
- Maladie de Parkinson, Pathologie du système nerveux, Dépistage, Congélation.

English descriptors

KwdEn :
- Freezing, Medical screening, Nervous system diseases, Parkinson disease.

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.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A11	`02`	`1`		`@1 SNIJDERS (Anke H.)`
A11	`03`	`1`		`@1 WEERDESTEYN (Vivian)`
A11	`04`	`1`		`@1 DUYSENS (Jacques E.)`
A11	`05`	`1`		`@1 DEFEBVRE (Luc)`
A11	`06`	`1`		`@1 GILADI (Nir)`
A11	`07`	`1`		`@1 BLOEM (Bastiaan R.)`
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A14	`02`			`@1 Department of Clinical Neurophysiology, Regional University Hospital @2 Lille @3 FRA @Z 1 aut.`
A14	`03`			`@1 Department of Neurology, Donders Center for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre @2 Nijmegen @3 NLD @Z 1 aut. @Z 2 aut. @Z 7 aut.`
A14	`04`			`@1 Department of Rehabilitation, Radboud University Nijmegen Medical Centre @2 Nijmegen @3 NLD @Z 3 aut. @Z 4 aut.`
A14	`05`			`@1 Movement Disorders Unit, Department of Neurology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University @2 Tel-Aviv @3 ISR @Z 6 aut.`
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A44				`@0 0000 @1 © 2010 INIST-CNRS. All rights reserved.`
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C01	`01`		`ENG`	@0 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.
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C02	`02`	`X`		`@0 002B17G`
C03	`01`	`X`	`FRE`	`@0 Maladie de Parkinson @2 NM @5 01`
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C03	`03`	`X`	`FRE`	`@0 Dépistage @5 09`
C03	`03`	`X`	`ENG`	`@0 Medical screening @5 09`
C03	`03`	`X`	`SPA`	`@0 Descubrimiento @5 09`
C03	`04`	`X`	`FRE`	`@0 Congélation @5 10`
C03	`04`	`X`	`ENG`	`@0 Freezing @5 10`
C03	`04`	`X`	`SPA`	`@0 Congelación @5 10`
C07	`01`	`X`	`FRE`	`@0 Pathologie de l'encéphale @5 37`
C07	`01`	`X`	`ENG`	`@0 Cerebral disorder @5 37`
C07	`01`	`X`	`SPA`	`@0 Encéfalo patología @5 37`
C07	`02`	`X`	`FRE`	`@0 Syndrome extrapyramidal @5 38`
C07	`02`	`X`	`ENG`	`@0 Extrapyramidal syndrome @5 38`
C07	`02`	`X`	`SPA`	`@0 Extrapiramidal síndrome @5 38`
C07	`03`	`X`	`FRE`	`@0 Maladie dégénérative @5 39`
C07	`03`	`X`	`ENG`	`@0 Degenerative disease @5 39`
C07	`03`	`X`	`SPA`	`@0 Enfermedad degenerativa @5 39`
C07	`04`	`X`	`FRE`	`@0 Pathologie du système nerveux central @5 40`
C07	`04`	`X`	`ENG`	`@0 Central nervous system disease @5 40`
C07	`04`	`X`	`SPA`	`@0 Sistema nervosio central patología @5 40`
N21				`@1 270`
N44	`01`			`@1 OTO`
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Format Inist (serveur)

NO :	PASCAL 10-0413292 INIST
ET :	Objective Detection of Subtle Freezing of Gait Episodes in Parkinson's Disease
AU :	DELVAL (Arnaud); SNIJDERS (Anke H.); WEERDESTEYN (Vivian); DUYSENS (Jacques E.); DEFEBVRE (Luc); GILADI (Nir); BLOEM (Bastiaan R.)
AF :	Department of Neurology and Movement Disorders, Regional University Hospital/Lille/France (1 aut., 5 aut.); Department of Clinical Neurophysiology, Regional University Hospital/Lille/France (1 aut.); Department of Neurology, Donders Center for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre/Nijmegen/Pays-Bas (1 aut., 2 aut., 7 aut.); Department of Rehabilitation, Radboud University Nijmegen Medical Centre/Nijmegen/Pays-Bas (3 aut., 4 aut.); Movement Disorders Unit, Department of Neurology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University/Tel-Aviv/Israël (6 aut.)
DT :	Publication en série; Niveau analytique
SO :	Movement disorders; ISSN 0885-3185; Etats-Unis; Da. 2010; Vol. 25; No. 11; Pp. 1684-1693; Bibl. 30 ref.
LA :	Anglais
EA :	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.
CC :	002B17; 002B17G
FD :	Maladie de Parkinson; Pathologie du système nerveux; Dépistage; Congélation
FG :	Pathologie de l'encéphale; Syndrome extrapyramidal; Maladie dégénérative; Pathologie du système nerveux central
ED :	Parkinson disease; Nervous system diseases; Medical screening; Freezing
EG :	Cerebral disorder; Extrapyramidal syndrome; Degenerative disease; Central nervous system disease
SD :	Parkinson enfermedad; Sistema nervioso patología; Descubrimiento; Congelación
LO :	INIST-20953.354000192608100220
ID :	10-0413292

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Pascal:10-0413292

Le document en format XML

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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Objective Detection of Subtle Freezing of Gait Episodes in Parkinson's Disease</title>
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<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>
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<fA14 i1="03"><s1>Department of Neurology, Donders Center for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre</s1>
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<s5>38</s5>
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<s5>40</s5>
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<server><NO>PASCAL 10-0413292 INIST</NO>
<ET>Objective Detection of Subtle Freezing of Gait Episodes in Parkinson's Disease</ET>
<AU>DELVAL (Arnaud); SNIJDERS (Anke H.); WEERDESTEYN (Vivian); DUYSENS (Jacques E.); DEFEBVRE (Luc); GILADI (Nir); BLOEM (Bastiaan R.)</AU>
<AF>Department of Neurology and Movement Disorders, Regional University Hospital/Lille/France (1 aut., 5 aut.); Department of Clinical Neurophysiology, Regional University Hospital/Lille/France (1 aut.); Department of Neurology, Donders Center for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre/Nijmegen/Pays-Bas (1 aut., 2 aut., 7 aut.); Department of Rehabilitation, Radboud University Nijmegen Medical Centre/Nijmegen/Pays-Bas (3 aut., 4 aut.); Movement Disorders Unit, Department of Neurology, Tel-Aviv Sourasky Medical Center, Sackler School of Medicine, Tel-Aviv University/Tel-Aviv/Israël (6 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Movement disorders; ISSN 0885-3185; Etats-Unis; Da. 2010; Vol. 25; No. 11; Pp. 1684-1693; Bibl. 30 ref.</SO>
<LA>Anglais</LA>
<EA>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.</EA>
<CC>002B17; 002B17G</CC>
<FD>Maladie de Parkinson; Pathologie du   système nerveux; Dépistage; Congélation</FD>
<FG>Pathologie de l'encéphale; Syndrome extrapyramidal; Maladie dégénérative; Pathologie du   système nerveux central</FG>
<ED>Parkinson disease; Nervous system diseases; Medical screening; Freezing</ED>
<EG>Cerebral disorder; Extrapyramidal syndrome; Degenerative disease; Central nervous system disease</EG>
<SD>Parkinson enfermedad; Sistema nervioso patología; Descubrimiento; Congelación</SD>
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	Movement Disorders (revue)
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Movement Disorders (revue)

Objective Detection of Subtle Freezing of Gait Episodes in Parkinson's Disease

Objective Detection of Subtle Freezing of Gait Episodes in Parkinson's Disease

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