Power‐law temporal autocorrelation of activity reflects severity of parkinsonism
Identifieur interne : 001A33 ( Istex/Curation ); précédent : 001A32; suivant : 001A34Power‐law temporal autocorrelation of activity reflects severity of parkinsonism
Auteurs : Weidong Pan [Japon] ; Kyoko Ohashi [Japon, États-Unis] ; Yoshiharu Yamamoto [Japon] ; Shin Kwak [Japon]Source :
- Movement Disorders [ 0885-3185 ] ; 2007-07-15.
English descriptors
- KwdEn :
Abstract
We aimed to obtain a reliable, objective scale representing disease severity for appropriate management of patients with Parkinson's disease (PD). Nineteen patients with PD at the Department of Neurology, Tokyo University Hospital, were classified into mild (n = 10) or severe groups (n = 9) depending on their Hoehn‐Yahr scores, and wore accelerometers on their wrists for more than 6 consecutive days. During this time we monitored their subjective assessments of symptom severity and analyzed the power‐law exponents (α) for local maxima and minima of fluctuations in the activity time series. Statistical comparisons were made between the severe and mild groups and of individual patients on “good condition” and “bad condition” days, as well as between days before and after antiparkinsonism medication. In all patients, the α for local maxima was always lower when parkinsonism was mild than when severe. Presence of tremor did not influence the α for local maxima. As the lower α value for local maxima of fluctuations in activity records reflects more frequent switching behavior from low to high physical activities or the severity of akinesia, actigraph monitoring of parkinsonism, and analysis of its power‐law correlation may provide useful objective information for controlling parkinsonism in outpatient clinics and for evaluating new antiparkinsonism drugs. © 2007 Movement Disorder Society
Url:
DOI: 10.1002/mds.21527
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: Pour aller vers cette notice dans l'étape Curation :001A33
Links to Exploration step
ISTEX:CD9CDC7C52E2C692EFE7BE513FB2550CE6DD53C9Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Power‐law temporal autocorrelation of activity reflects severity of parkinsonism</title><author><name sortKey="Pan, Weidong" sort="Pan, Weidong" uniqKey="Pan W" first="Weidong" last="Pan">Weidong Pan</name><affiliation wicri:level="1"><mods:affiliation>Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan</mods:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Ohashi, Kyoko" sort="Ohashi, Kyoko" uniqKey="Ohashi K" first="Kyoko" last="Ohashi">Kyoko Ohashi</name><affiliation wicri:level="1"><mods:affiliation>Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan</mods:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Developmental Biopsychiatry Research Program, McLean Hospital/Harvard Medical School, Belmont, Massachusetts, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Developmental Biopsychiatry Research Program, McLean Hospital/Harvard Medical School, Belmont, Massachusetts</wicri:regionArea></affiliation></author><author><name sortKey="Yamamoto, Yoshiharu" sort="Yamamoto, Yoshiharu" uniqKey="Yamamoto Y" first="Yoshiharu" last="Yamamoto">Yoshiharu Yamamoto</name><affiliation wicri:level="1"><mods:affiliation>Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan</mods:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Kwak, Shin" sort="Kwak, Shin" uniqKey="Kwak S" first="Shin" last="Kwak">Shin Kwak</name><affiliation wicri:level="1"><mods:affiliation>Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan</mods:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:CD9CDC7C52E2C692EFE7BE513FB2550CE6DD53C9</idno><date when="2007" year="2007">2007</date><idno type="doi">10.1002/mds.21527</idno><idno type="url">https://api.istex.fr/document/CD9CDC7C52E2C692EFE7BE513FB2550CE6DD53C9/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">001A33</idno><idno type="wicri:Area/Istex/Curation">001A33</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Power‐law temporal autocorrelation of activity reflects severity of parkinsonism</title><author><name sortKey="Pan, Weidong" sort="Pan, Weidong" uniqKey="Pan W" first="Weidong" last="Pan">Weidong Pan</name><affiliation wicri:level="1"><mods:affiliation>Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan</mods:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Ohashi, Kyoko" sort="Ohashi, Kyoko" uniqKey="Ohashi K" first="Kyoko" last="Ohashi">Kyoko Ohashi</name><affiliation wicri:level="1"><mods:affiliation>Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan</mods:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>Developmental Biopsychiatry Research Program, McLean Hospital/Harvard Medical School, Belmont, Massachusetts, USA</mods:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Developmental Biopsychiatry Research Program, McLean Hospital/Harvard Medical School, Belmont, Massachusetts</wicri:regionArea></affiliation></author><author><name sortKey="Yamamoto, Yoshiharu" sort="Yamamoto, Yoshiharu" uniqKey="Yamamoto Y" first="Yoshiharu" last="Yamamoto">Yoshiharu Yamamoto</name><affiliation wicri:level="1"><mods:affiliation>Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo, Japan</mods:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo</wicri:regionArea></affiliation></author><author><name sortKey="Kwak, Shin" sort="Kwak, Shin" uniqKey="Kwak S" first="Shin" last="Kwak">Shin Kwak</name><affiliation wicri:level="1"><mods:affiliation>Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan</mods:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo</wicri:regionArea></affiliation></author></analytic><monogr></monogr><series><title level="j">Movement Disorders</title><title level="j" type="sub">Official Journal of the Movement Disorder Society</title><title level="j" type="abbrev">Mov. Disord.</title><idno type="ISSN">0885-3185</idno><idno type="eISSN">1531-8257</idno><imprint><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2007-07-15">2007-07-15</date><biblScope unit="vol">22</biblScope><biblScope unit="issue">9</biblScope><biblScope unit="page" from="1308">1308</biblScope><biblScope unit="page" to="1313">1313</biblScope></imprint><idno type="ISSN">0885-3185</idno></series><idno type="istex">CD9CDC7C52E2C692EFE7BE513FB2550CE6DD53C9</idno><idno type="DOI">10.1002/mds.21527</idno><idno type="ArticleID">MDS21527</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0885-3185</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Parkinson's disease</term><term>actigraph</term><term>akinesia</term><term>fractal analysis</term><term>power‐law temporal autocorrelation</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We aimed to obtain a reliable, objective scale representing disease severity for appropriate management of patients with Parkinson's disease (PD). Nineteen patients with PD at the Department of Neurology, Tokyo University Hospital, were classified into mild (n = 10) or severe groups (n = 9) depending on their Hoehn‐Yahr scores, and wore accelerometers on their wrists for more than 6 consecutive days. During this time we monitored their subjective assessments of symptom severity and analyzed the power‐law exponents (α) for local maxima and minima of fluctuations in the activity time series. Statistical comparisons were made between the severe and mild groups and of individual patients on “good condition” and “bad condition” days, as well as between days before and after antiparkinsonism medication. In all patients, the α for local maxima was always lower when parkinsonism was mild than when severe. Presence of tremor did not influence the α for local maxima. As the lower α value for local maxima of fluctuations in activity records reflects more frequent switching behavior from low to high physical activities or the severity of akinesia, actigraph monitoring of parkinsonism, and analysis of its power‐law correlation may provide useful objective information for controlling parkinsonism in outpatient clinics and for evaluating new antiparkinsonism drugs. © 2007 Movement Disorder Society</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Santé/explor/MovDisordV3/Data/Istex/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001A33 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Curation/biblio.hfd -nk 001A33 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Santé
|area= MovDisordV3
|flux= Istex
|étape= Curation
|type= RBID
|clé= ISTEX:CD9CDC7C52E2C692EFE7BE513FB2550CE6DD53C9
|texte= Power‐law temporal autocorrelation of activity reflects severity of parkinsonism
}}
| This area was generated with Dilib version V0.6.23. |  |