Power‐law temporal autocorrelation of activity reflects severity of parkinsonism
Identifieur interne : 002C66 ( Main/Exploration ); précédent : 002C65; suivant : 002C67Power‐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 :
- Activities of Daily Living, Adult, Aged, Female, Humans, Male, Middle Aged, Motor Activity (physiology), Parkinson's disease, Parkinsonian Disorders (diagnosis), Parkinsonian Disorders (physiopathology), Parkinsonian Disorders (psychology), Severity of Illness Index, Statistics as Topic, actigraph, akinesia, fractal analysis, power‐law temporal autocorrelation.
- MESH :
- diagnosis : Parkinsonian Disorders.
- physiology : Motor Activity.
- physiopathology : Parkinsonian Disorders.
- psychology : Parkinsonian Disorders.
- Activities of Daily Living, Adult, Aged, Female, Humans, Male, Middle Aged, Severity of Illness Index, Statistics as Topic.
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
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 001A33
- to stream Istex, to step Curation: 001A33
- to stream Istex, to step Checkpoint: 001774
- to stream PubMed, to step Corpus: 002757
- to stream PubMed, to step Curation: 002757
- to stream PubMed, to step Checkpoint: 002637
- to stream Ncbi, to step Merge: 001B82
- to stream Ncbi, to step Curation: 001B82
- to stream Ncbi, to step Checkpoint: 001B82
- to stream Main, to step Merge: 003B88
- to stream Main, to step Curation: 002C66
Le 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>
</author>
<author><name sortKey="Ohashi, Kyoko" sort="Ohashi, Kyoko" uniqKey="Ohashi K" first="Kyoko" last="Ohashi">Kyoko Ohashi</name>
</author>
<author><name sortKey="Yamamoto, Yoshiharu" sort="Yamamoto, Yoshiharu" uniqKey="Yamamoto Y" first="Yoshiharu" last="Yamamoto">Yoshiharu Yamamoto</name>
</author>
<author><name sortKey="Kwak, Shin" sort="Kwak, Shin" uniqKey="Kwak S" first="Shin" last="Kwak">Shin Kwak</name>
</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>
<idno type="wicri:Area/Istex/Checkpoint">001774</idno>
<idno type="wicri:doubleKey">0885-3185:2007:Pan W:power:law:temporal</idno>
<idno type="wicri:source">PubMed</idno>
<idno type="RBID">pubmed:17469191</idno>
<idno type="wicri:Area/PubMed/Corpus">002757</idno>
<idno type="wicri:Area/PubMed/Curation">002757</idno>
<idno type="wicri:Area/PubMed/Checkpoint">002637</idno>
<idno type="wicri:Area/Ncbi/Merge">001B82</idno>
<idno type="wicri:Area/Ncbi/Curation">001B82</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">001B82</idno>
<idno type="wicri:Area/Main/Merge">003B88</idno>
<idno type="wicri:Area/Main/Curation">002C66</idno>
<idno type="wicri:Area/Main/Exploration">002C66</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="3"><country xml:lang="fr">Japon</country>
<wicri:regionArea>Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo</wicri:regionArea>
<placeName><settlement type="city">Tokyo</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Ohashi, Kyoko" sort="Ohashi, Kyoko" uniqKey="Ohashi K" first="Kyoko" last="Ohashi">Kyoko Ohashi</name>
<affiliation wicri:level="3"><country xml:lang="fr">Japon</country>
<wicri:regionArea>Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo</wicri:regionArea>
<placeName><settlement type="city">Tokyo</settlement>
</placeName>
</affiliation>
<affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Developmental Biopsychiatry Research Program, McLean Hospital/Harvard Medical School, Belmont, Massachusetts</wicri:regionArea>
<placeName><region type="state">Massachusetts</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Yamamoto, Yoshiharu" sort="Yamamoto, Yoshiharu" uniqKey="Yamamoto Y" first="Yoshiharu" last="Yamamoto">Yoshiharu Yamamoto</name>
<affiliation wicri:level="3"><country xml:lang="fr">Japon</country>
<wicri:regionArea>Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Tokyo</wicri:regionArea>
<placeName><settlement type="city">Tokyo</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Kwak, Shin" sort="Kwak, Shin" uniqKey="Kwak S" first="Shin" last="Kwak">Shin Kwak</name>
<affiliation wicri:level="3"><country xml:lang="fr">Japon</country>
<wicri:regionArea>Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo</wicri:regionArea>
<placeName><settlement type="city">Tokyo</settlement>
</placeName>
</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>Activities of Daily Living</term>
<term>Adult</term>
<term>Aged</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Motor Activity (physiology)</term>
<term>Parkinson's disease</term>
<term>Parkinsonian Disorders (diagnosis)</term>
<term>Parkinsonian Disorders (physiopathology)</term>
<term>Parkinsonian Disorders (psychology)</term>
<term>Severity of Illness Index</term>
<term>Statistics as Topic</term>
<term>actigraph</term>
<term>akinesia</term>
<term>fractal analysis</term>
<term>power‐law temporal autocorrelation</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Parkinsonian Disorders</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Motor Activity</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Parkinsonian Disorders</term>
</keywords>
<keywords scheme="MESH" qualifier="psychology" xml:lang="en"><term>Parkinsonian Disorders</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Activities of Daily Living</term>
<term>Adult</term>
<term>Aged</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Severity of Illness Index</term>
<term>Statistics as Topic</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>
<affiliations><list><country><li>Japon</li>
<li>États-Unis</li>
</country>
<region><li>Massachusetts</li>
</region>
<settlement><li>Tokyo</li>
</settlement>
</list>
<tree><country name="Japon"><noRegion><name sortKey="Pan, Weidong" sort="Pan, Weidong" uniqKey="Pan W" first="Weidong" last="Pan">Weidong Pan</name>
</noRegion>
<name sortKey="Kwak, Shin" sort="Kwak, Shin" uniqKey="Kwak S" first="Shin" last="Kwak">Shin Kwak</name>
<name sortKey="Ohashi, Kyoko" sort="Ohashi, Kyoko" uniqKey="Ohashi K" first="Kyoko" last="Ohashi">Kyoko Ohashi</name>
<name sortKey="Yamamoto, Yoshiharu" sort="Yamamoto, Yoshiharu" uniqKey="Yamamoto Y" first="Yoshiharu" last="Yamamoto">Yoshiharu Yamamoto</name>
</country>
<country name="États-Unis"><region name="Massachusetts"><name sortKey="Ohashi, Kyoko" sort="Ohashi, Kyoko" uniqKey="Ohashi K" first="Kyoko" last="Ohashi">Kyoko Ohashi</name>
</region>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Santé/explor/MovDisordV3/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002C66 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 002C66 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Santé |area= MovDisordV3 |flux= Main |étape= Exploration |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. | ![]() |