Gait impairments in Parkinson's disease
Gait impairments are among the most common and disabling symptoms of Parkinson's disease. Nonetheless, gait is not routinely assessed quantitatively but is described in general terms that are not sensitive to changes ensuing with disease progression. Quantifying multiple gait features (eg, spee...
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Veröffentlicht in: | Lancet neurology 2019-07, Vol.18 (7), p.697-708 |
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creator | Mirelman, Anat Bonato, Paolo Camicioli, Richard Ellis, Terry D Giladi, Nir Hamilton, Jamie L Hass, Chris J Hausdorff, Jeffrey M Pelosin, Elisa Almeida, Quincy J |
description | Gait impairments are among the most common and disabling symptoms of Parkinson's disease. Nonetheless, gait is not routinely assessed quantitatively but is described in general terms that are not sensitive to changes ensuing with disease progression. Quantifying multiple gait features (eg, speed, variability, and asymmetry) under natural and more challenging conditions (eg, dual-tasking, turning, and daily living) enhanced sensitivity of gait quantification. Studies of neural connectivity and structural network topology have provided information on the mechanisms of gait impairment. Advances in the understanding of the multifactorial origins of gait changes in patients with Parkinson's disease promoted the development of new intervention strategies, such as neurostimulation and virtual reality, aimed at alleviating gait impairments and enhancing functional mobility. For clinical applicability, it is important to establish clear links between specific gait impairments, their underlying mechanisms, and disease progression to foster the acceptance and usability of quantitative gait measures as outcomes in future disease-modifying clinical trials. |
doi_str_mv | 10.1016/S1474-4422(19)30044-4 |
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Nonetheless, gait is not routinely assessed quantitatively but is described in general terms that are not sensitive to changes ensuing with disease progression. Quantifying multiple gait features (eg, speed, variability, and asymmetry) under natural and more challenging conditions (eg, dual-tasking, turning, and daily living) enhanced sensitivity of gait quantification. Studies of neural connectivity and structural network topology have provided information on the mechanisms of gait impairment. Advances in the understanding of the multifactorial origins of gait changes in patients with Parkinson's disease promoted the development of new intervention strategies, such as neurostimulation and virtual reality, aimed at alleviating gait impairments and enhancing functional mobility. For clinical applicability, it is important to establish clear links between specific gait impairments, their underlying mechanisms, and disease progression to foster the acceptance and usability of quantitative gait measures as outcomes in future disease-modifying clinical trials.</description><identifier>ISSN: 1474-4422</identifier><identifier>EISSN: 1474-4465</identifier><identifier>DOI: 10.1016/S1474-4422(19)30044-4</identifier><identifier>PMID: 30975519</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Brain research ; Clinical trials ; Computer applications ; Gait ; Intervention ; Movement disorders ; Neural networks ; Neurodegenerative diseases ; Parkinson's disease ; Pathology ; Spinal cord ; Walking</subject><ispartof>Lancet neurology, 2019-07, Vol.18 (7), p.697-708</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright © 2019 Elsevier Ltd. All rights reserved.</rights><rights>2019. Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c445t-1c1562e92b2d9a2747c5bc3e4706fe27ef32ca7d06446d702ebcd561d26eb3ad3</citedby><cites>FETCH-LOGICAL-c445t-1c1562e92b2d9a2747c5bc3e4706fe27ef32ca7d06446d702ebcd561d26eb3ad3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1474442219300444$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30975519$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mirelman, Anat</creatorcontrib><creatorcontrib>Bonato, Paolo</creatorcontrib><creatorcontrib>Camicioli, Richard</creatorcontrib><creatorcontrib>Ellis, Terry D</creatorcontrib><creatorcontrib>Giladi, Nir</creatorcontrib><creatorcontrib>Hamilton, Jamie L</creatorcontrib><creatorcontrib>Hass, Chris J</creatorcontrib><creatorcontrib>Hausdorff, Jeffrey M</creatorcontrib><creatorcontrib>Pelosin, Elisa</creatorcontrib><creatorcontrib>Almeida, Quincy J</creatorcontrib><title>Gait impairments in Parkinson's disease</title><title>Lancet neurology</title><addtitle>Lancet Neurol</addtitle><description>Gait impairments are among the most common and disabling symptoms of Parkinson's disease. Nonetheless, gait is not routinely assessed quantitatively but is described in general terms that are not sensitive to changes ensuing with disease progression. Quantifying multiple gait features (eg, speed, variability, and asymmetry) under natural and more challenging conditions (eg, dual-tasking, turning, and daily living) enhanced sensitivity of gait quantification. Studies of neural connectivity and structural network topology have provided information on the mechanisms of gait impairment. Advances in the understanding of the multifactorial origins of gait changes in patients with Parkinson's disease promoted the development of new intervention strategies, such as neurostimulation and virtual reality, aimed at alleviating gait impairments and enhancing functional mobility. For clinical applicability, it is important to establish clear links between specific gait impairments, their underlying mechanisms, and disease progression to foster the acceptance and usability of quantitative gait measures as outcomes in future disease-modifying clinical trials.</description><subject>Brain research</subject><subject>Clinical trials</subject><subject>Computer applications</subject><subject>Gait</subject><subject>Intervention</subject><subject>Movement disorders</subject><subject>Neural networks</subject><subject>Neurodegenerative diseases</subject><subject>Parkinson's disease</subject><subject>Pathology</subject><subject>Spinal cord</subject><subject>Walking</subject><issn>1474-4422</issn><issn>1474-4465</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNqFkE1LAzEQhoMotlZ_glLw0HpYzeemOYkUrUJBQT2HbDILqd3dmuwK_nvTD3vw4inJ8MzMmwehc4KvCSb5zSvhkmecUzom6ophzNPrAPV35Vwc7u-U9tBJjAuMKeETcox6DCspBFF9NJoZ3w59tTI-VFC3cejr4YsJH76OTT2KQ-cjmAin6Kg0ywhnu3OA3h_u36aP2fx59jS9m2eWc9FmxBKRU1C0oE4ZKrm0orAMuMR5CVRCyag10uE8RXQSUyisEzlxNIeCGccGaLyduwrNZwex1ZWPFpZLU0PTRU0pVkIpKicJvfyDLpou1CldophKX5VMJkpsKRuaGAOUehV8ZcK3JlivTeqNSb3WpInSG5Oap76L3fSuqMDtu37VJeB2C0DS8eUh6Gg91BacD2Bb7Rr_z4ofEiOAZA</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Mirelman, Anat</creator><creator>Bonato, Paolo</creator><creator>Camicioli, Richard</creator><creator>Ellis, Terry D</creator><creator>Giladi, Nir</creator><creator>Hamilton, Jamie L</creator><creator>Hass, Chris J</creator><creator>Hausdorff, Jeffrey M</creator><creator>Pelosin, Elisa</creator><creator>Almeida, Quincy J</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0TZ</scope><scope>3V.</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C2</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20190701</creationdate><title>Gait impairments in Parkinson's disease</title><author>Mirelman, Anat ; 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subjects | Brain research Clinical trials Computer applications Gait Intervention Movement disorders Neural networks Neurodegenerative diseases Parkinson's disease Pathology Spinal cord Walking |
title | Gait impairments in Parkinson's disease |
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