Partial directed coherence-based information flow in Parkinson's disease patients performing a visually-guided motor task.
Identifieur interne : 001D98 ( Main/Exploration ); précédent : 001D97; suivant : 001D99Partial directed coherence-based information flow in Parkinson's disease patients performing a visually-guided motor task.
Auteurs : G. Tropini [Canada] ; J. Chiang ; Z. Wang ; M J MckeownSource :
- Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference [ 1557-170X ] ; 2009.
English descriptors
- KwdEn :
- MESH :
- methods : Brain Mapping, Electroencephalography, Tomography, Optical Coherence.
- physiology : Motor Activity, Psychomotor Performance, Visual Perception.
- physiopathology : Parkinson Disease.
- Humans, Least-Squares Analysis, Oscillometry.
Abstract
We propose a partial directed coherence (PCD) method based on a sparse multivariate autoregressive (mAR) model to investigate patterns of information flow in electroencephalography (EEG) recordings in Parkinson's disease (PD) patients performing a visually-guided motor task. The use of a sparsity constraint on the mAR matrix addresses issues such as sample size, model order selection and number of parameters to be estimated, particularly when the number of EEG channels used is large and the window size is small in order to capture dynamic changes. The proposed PDC-based information flow analysis demonstrated distinctly altered patterns of connectivity between PD patients off medication and healthy subjects, particularly with respect to net information outflow from the left sensorimotor (L Sm) region, which might indicate excessive spreading of activity in the diseased state. Disrupted patterns of connectivity in PD were partially restored by levodopa medication. In addition, PDC-based analysis proved to be more sensitive to temporally-dynamic connectivity changes as compared to traditional spectral analysis, which might be influenced primarily by large-scale changes. We suggest that the proposed sparse-PDC method is a suitable technique to investigate altered connectivity in Parkinson's disease.
DOI: 10.1109/IEMBS.2009.5332614
PubMed: 19963528
Affiliations:
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Wang</name></author><author><name sortKey="Mckeown, M J" sort="Mckeown, M J" uniqKey="Mckeown M" first="M J" last="Mckeown">M J Mckeown</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2009">2009</date><idno type="RBID">pubmed:19963528</idno><idno type="pmid">19963528</idno><idno type="doi">10.1109/IEMBS.2009.5332614</idno><idno type="wicri:Area/PubMed/Corpus">000F12</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000F12</idno><idno type="wicri:Area/PubMed/Curation">000F12</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000F12</idno><idno type="wicri:Area/PubMed/Checkpoint">000F12</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000F12</idno><idno type="wicri:Area/Ncbi/Merge">000B85</idno><idno type="wicri:Area/Ncbi/Curation">000B85</idno><idno type="wicri:Area/Ncbi/Checkpoint">000B85</idno><idno type="wicri:doubleKey">1557-170X:2009:Tropini G:partial:directed:coherence</idno><idno type="wicri:Area/Main/Merge">001F46</idno><idno type="wicri:Area/Main/Curation">001D98</idno><idno type="wicri:Area/Main/Exploration">001D98</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Partial directed coherence-based information flow in Parkinson's disease patients performing a visually-guided motor task.</title><author><name sortKey="Tropini, G" sort="Tropini, G" uniqKey="Tropini G" first="G" last="Tropini">G. Tropini</name><affiliation wicri:level="1"><nlm:affiliation>Pacific Parkinson's Research Centre, University of British Columbia, Vancouver, Canada. giorgiat@interchange.ubc.ca</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Pacific Parkinson's Research Centre, University of British Columbia, Vancouver</wicri:regionArea><wicri:noRegion>Vancouver</wicri:noRegion></affiliation></author><author><name sortKey="Chiang, J" sort="Chiang, J" uniqKey="Chiang J" first="J" last="Chiang">J. Chiang</name></author><author><name sortKey="Wang, Z" sort="Wang, Z" uniqKey="Wang Z" first="Z" last="Wang">Z. Wang</name></author><author><name sortKey="Mckeown, M J" sort="Mckeown, M J" uniqKey="Mckeown M" first="M J" last="Mckeown">M J Mckeown</name></author></analytic><series><title level="j">Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference</title><idno type="ISSN">1557-170X</idno><imprint><date when="2009" type="published">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Brain Mapping (methods)</term><term>Electroencephalography (methods)</term><term>Humans</term><term>Least-Squares Analysis</term><term>Motor Activity (physiology)</term><term>Oscillometry</term><term>Parkinson Disease (physiopathology)</term><term>Psychomotor Performance (physiology)</term><term>Tomography, Optical Coherence (methods)</term><term>Visual Perception (physiology)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Brain Mapping</term><term>Electroencephalography</term><term>Tomography, Optical Coherence</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Motor Activity</term><term>Psychomotor Performance</term><term>Visual Perception</term></keywords><keywords scheme="MESH" qualifier="physiopathology" xml:lang="en"><term>Parkinson Disease</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Least-Squares Analysis</term><term>Oscillometry</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We propose a partial directed coherence (PCD) method based on a sparse multivariate autoregressive (mAR) model to investigate patterns of information flow in electroencephalography (EEG) recordings in Parkinson's disease (PD) patients performing a visually-guided motor task. The use of a sparsity constraint on the mAR matrix addresses issues such as sample size, model order selection and number of parameters to be estimated, particularly when the number of EEG channels used is large and the window size is small in order to capture dynamic changes. The proposed PDC-based information flow analysis demonstrated distinctly altered patterns of connectivity between PD patients off medication and healthy subjects, particularly with respect to net information outflow from the left sensorimotor (L Sm) region, which might indicate excessive spreading of activity in the diseased state. Disrupted patterns of connectivity in PD were partially restored by levodopa medication. In addition, PDC-based analysis proved to be more sensitive to temporally-dynamic connectivity changes as compared to traditional spectral analysis, which might be influenced primarily by large-scale changes. We suggest that the proposed sparse-PDC method is a suitable technique to investigate altered connectivity in Parkinson's disease.</div></front></TEI><affiliations><list><country><li>Canada</li></country></list><tree><noCountry><name sortKey="Chiang, J" sort="Chiang, J" uniqKey="Chiang J" first="J" last="Chiang">J. Chiang</name><name sortKey="Mckeown, M J" sort="Mckeown, M J" uniqKey="Mckeown M" first="M J" last="Mckeown">M J Mckeown</name><name sortKey="Wang, Z" sort="Wang, Z" uniqKey="Wang Z" first="Z" last="Wang">Z. Wang</name></noCountry><country name="Canada"><noRegion><name sortKey="Tropini, G" sort="Tropini, G" uniqKey="Tropini G" first="G" last="Tropini">G. Tropini</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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