Reproducibility of Regional Metabolic Covariance Patterns: Comparison of Four Populations
In a previous [18F]fluorodeoxyglucose (FDG) PET study we analyzed regional metabolic data from a combined group of Parkinson's disease (PD) patients and healthy volunteers (N), using network analysis. By this method, we identified a unique pattern of regional metabolic covariation with an expre...
Gespeichert in:
| Veröffentlicht in: | The Journal of nuclear medicine (1978) 1999-08, Vol.40 (8), p.1264-1269 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1269 |
|---|---|
| container_issue | 8 |
| container_start_page | 1264 |
| container_title | The Journal of nuclear medicine (1978) |
| container_volume | 40 |
| creator | Moeller, James R Nakamura, Toshitaka Mentis, Marc J Dhawan, Vijay Spetsieres, Phoebe Antonini, Angelo Missimer, John Leenders, Klaus L Eidelberg, David |
| description | In a previous [18F]fluorodeoxyglucose (FDG) PET study we analyzed regional metabolic data from a combined group of Parkinson's disease (PD) patients and healthy volunteers (N), using network analysis. By this method, we identified a unique pattern of regional metabolic covariation with an expression which accurately discriminated patients from healthy volunteers. To assess the reproducibility of this pattern as a potential marker for PD, we compared the pattern's topography with that of the disease-related covariance patterns identified in three other independent populations of patients with PD and healthy individuals studied in different PET laboratories.
The following patient populations were studied: group A (original cohort: 22 PD, 20 N; resolution: 7.5 mm full width at half maximum [FWHM]); group B (18 PD, 12 N; resolution: 4.2 mm FWHM); group C (25 PD, 15 N; resolution: 8.0 mm FWHM); and group D (14 PD, 10 N; resolution: 10 mm FWHM). Region weights for the PD-related covariance pattern (PDRP) identified in the group A analysis were correlated with those for the disease-related patterns identified in the analyses of groups B, C and D. In addition, subject scores for the group A PDRP were computed prospectively for every individual in each of the study populations. PDRP scores for PD and N within each cohort were compared.
The PDRP topography identified in group A was highly correlated with each of the corresponding topographies identified in the other populations (r2 approximately 0.60, P < 0.0001). Prospectively computed subject scores for the group A PDRP significantly discriminated PD from N in each population (P < 0.004).
The PDRP topography identified previously in Group A is highly reproducible across patient populations and tomographs. Prospectively computed PDRP scores can accurately discriminate patients from controls in multiple populations studied with different tomographs. Brain network imaging with FDG PET can provide robust metabolic markers for the diagnosis of PD. |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_69968560</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>43948117</sourcerecordid><originalsourceid>FETCH-LOGICAL-h295t-63005ed0ab67e3aa60cc95508a4a847a99d4b866c8c20623da5fbba48cdbea483</originalsourceid><addsrcrecordid>eNpdkN1LwzAUxYMobn78C1JE9KmQfuQ29U2GU2HiGPrgU7lN0y0jbWrSKvvvzdxE8OnC4XcO59wDMo5YwkIGkB2SMY0gChmjbEROnFtTSoFzfkxGEU0ZhQzG5H0hO2uqQahSadVvAlMHC7lUpkUdPMseS6OVCCbmE63CVshgjn0vbetuvdh0XnWm3bqmZrDB3HSDxt7b3Rk5qlE7eb6_p-Rtev86eQxnLw9Pk7tZuIpz1oeQUMpkRbGETCaIQIXIfWeOKfI0wzyv0pIDCC5iCnFSIavLElMuqlL6k5yS612u3_ExSNcXjXJCao2tNIMrIM-BM6AevPwHrn1lv9MVcZRHANFP2sUeGspGVkVnVYN2U_x-zANXewCdQF1b_xTl_rg85jSLPXazw1ZqufpSVhbtILREuw1dt01KC15EMaTJNxiugzY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>219166148</pqid></control><display><type>article</type><title>Reproducibility of Regional Metabolic Covariance Patterns: Comparison of Four Populations</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Moeller, James R ; Nakamura, Toshitaka ; Mentis, Marc J ; Dhawan, Vijay ; Spetsieres, Phoebe ; Antonini, Angelo ; Missimer, John ; Leenders, Klaus L ; Eidelberg, David</creator><creatorcontrib>Moeller, James R ; Nakamura, Toshitaka ; Mentis, Marc J ; Dhawan, Vijay ; Spetsieres, Phoebe ; Antonini, Angelo ; Missimer, John ; Leenders, Klaus L ; Eidelberg, David</creatorcontrib><description>In a previous [18F]fluorodeoxyglucose (FDG) PET study we analyzed regional metabolic data from a combined group of Parkinson's disease (PD) patients and healthy volunteers (N), using network analysis. By this method, we identified a unique pattern of regional metabolic covariation with an expression which accurately discriminated patients from healthy volunteers. To assess the reproducibility of this pattern as a potential marker for PD, we compared the pattern's topography with that of the disease-related covariance patterns identified in three other independent populations of patients with PD and healthy individuals studied in different PET laboratories.
The following patient populations were studied: group A (original cohort: 22 PD, 20 N; resolution: 7.5 mm full width at half maximum [FWHM]); group B (18 PD, 12 N; resolution: 4.2 mm FWHM); group C (25 PD, 15 N; resolution: 8.0 mm FWHM); and group D (14 PD, 10 N; resolution: 10 mm FWHM). Region weights for the PD-related covariance pattern (PDRP) identified in the group A analysis were correlated with those for the disease-related patterns identified in the analyses of groups B, C and D. In addition, subject scores for the group A PDRP were computed prospectively for every individual in each of the study populations. PDRP scores for PD and N within each cohort were compared.
The PDRP topography identified in group A was highly correlated with each of the corresponding topographies identified in the other populations (r2 approximately 0.60, P < 0.0001). Prospectively computed subject scores for the group A PDRP significantly discriminated PD from N in each population (P < 0.004).
The PDRP topography identified previously in Group A is highly reproducible across patient populations and tomographs. Prospectively computed PDRP scores can accurately discriminate patients from controls in multiple populations studied with different tomographs. Brain network imaging with FDG PET can provide robust metabolic markers for the diagnosis of PD.</description><identifier>ISSN: 0161-5505</identifier><identifier>EISSN: 1535-5667</identifier><identifier>PMID: 10450676</identifier><identifier>CODEN: JNMEAQ</identifier><language>eng</language><publisher>Reston, VA: Soc Nuclear Med</publisher><subject>Biological and medical sciences ; Brain - diagnostic imaging ; Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases ; Female ; Fluorodeoxyglucose F18 ; Humans ; Investigative techniques, diagnostic techniques (general aspects) ; Male ; Medical sciences ; Middle Aged ; Nervous system ; Neurology ; Prospective Studies ; Radionuclide investigations ; Radiopharmaceuticals ; Reproducibility of Results ; Tomography, Emission-Computed - standards</subject><ispartof>The Journal of nuclear medicine (1978), 1999-08, Vol.40 (8), p.1264-1269</ispartof><rights>1999 INIST-CNRS</rights><rights>Copyright Society of Nuclear Medicine Aug 1999</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1928072$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10450676$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Moeller, James R</creatorcontrib><creatorcontrib>Nakamura, Toshitaka</creatorcontrib><creatorcontrib>Mentis, Marc J</creatorcontrib><creatorcontrib>Dhawan, Vijay</creatorcontrib><creatorcontrib>Spetsieres, Phoebe</creatorcontrib><creatorcontrib>Antonini, Angelo</creatorcontrib><creatorcontrib>Missimer, John</creatorcontrib><creatorcontrib>Leenders, Klaus L</creatorcontrib><creatorcontrib>Eidelberg, David</creatorcontrib><title>Reproducibility of Regional Metabolic Covariance Patterns: Comparison of Four Populations</title><title>The Journal of nuclear medicine (1978)</title><addtitle>J Nucl Med</addtitle><description>In a previous [18F]fluorodeoxyglucose (FDG) PET study we analyzed regional metabolic data from a combined group of Parkinson's disease (PD) patients and healthy volunteers (N), using network analysis. By this method, we identified a unique pattern of regional metabolic covariation with an expression which accurately discriminated patients from healthy volunteers. To assess the reproducibility of this pattern as a potential marker for PD, we compared the pattern's topography with that of the disease-related covariance patterns identified in three other independent populations of patients with PD and healthy individuals studied in different PET laboratories.
The following patient populations were studied: group A (original cohort: 22 PD, 20 N; resolution: 7.5 mm full width at half maximum [FWHM]); group B (18 PD, 12 N; resolution: 4.2 mm FWHM); group C (25 PD, 15 N; resolution: 8.0 mm FWHM); and group D (14 PD, 10 N; resolution: 10 mm FWHM). Region weights for the PD-related covariance pattern (PDRP) identified in the group A analysis were correlated with those for the disease-related patterns identified in the analyses of groups B, C and D. In addition, subject scores for the group A PDRP were computed prospectively for every individual in each of the study populations. PDRP scores for PD and N within each cohort were compared.
The PDRP topography identified in group A was highly correlated with each of the corresponding topographies identified in the other populations (r2 approximately 0.60, P < 0.0001). Prospectively computed subject scores for the group A PDRP significantly discriminated PD from N in each population (P < 0.004).
The PDRP topography identified previously in Group A is highly reproducible across patient populations and tomographs. Prospectively computed PDRP scores can accurately discriminate patients from controls in multiple populations studied with different tomographs. Brain network imaging with FDG PET can provide robust metabolic markers for the diagnosis of PD.</description><subject>Biological and medical sciences</subject><subject>Brain - diagnostic imaging</subject><subject>Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases</subject><subject>Female</subject><subject>Fluorodeoxyglucose F18</subject><subject>Humans</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Nervous system</subject><subject>Neurology</subject><subject>Prospective Studies</subject><subject>Radionuclide investigations</subject><subject>Radiopharmaceuticals</subject><subject>Reproducibility of Results</subject><subject>Tomography, Emission-Computed - standards</subject><issn>0161-5505</issn><issn>1535-5667</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdkN1LwzAUxYMobn78C1JE9KmQfuQ29U2GU2HiGPrgU7lN0y0jbWrSKvvvzdxE8OnC4XcO59wDMo5YwkIGkB2SMY0gChmjbEROnFtTSoFzfkxGEU0ZhQzG5H0hO2uqQahSadVvAlMHC7lUpkUdPMseS6OVCCbmE63CVshgjn0vbetuvdh0XnWm3bqmZrDB3HSDxt7b3Rk5qlE7eb6_p-Rtev86eQxnLw9Pk7tZuIpz1oeQUMpkRbGETCaIQIXIfWeOKfI0wzyv0pIDCC5iCnFSIavLElMuqlL6k5yS612u3_ExSNcXjXJCao2tNIMrIM-BM6AevPwHrn1lv9MVcZRHANFP2sUeGspGVkVnVYN2U_x-zANXewCdQF1b_xTl_rg85jSLPXazw1ZqufpSVhbtILREuw1dt01KC15EMaTJNxiugzY</recordid><startdate>19990801</startdate><enddate>19990801</enddate><creator>Moeller, James R</creator><creator>Nakamura, Toshitaka</creator><creator>Mentis, Marc J</creator><creator>Dhawan, Vijay</creator><creator>Spetsieres, Phoebe</creator><creator>Antonini, Angelo</creator><creator>Missimer, John</creator><creator>Leenders, Klaus L</creator><creator>Eidelberg, David</creator><general>Soc Nuclear Med</general><general>Society of Nuclear Medicine</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>4T-</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>M7Z</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope></search><sort><creationdate>19990801</creationdate><title>Reproducibility of Regional Metabolic Covariance Patterns: Comparison of Four Populations</title><author>Moeller, James R ; Nakamura, Toshitaka ; Mentis, Marc J ; Dhawan, Vijay ; Spetsieres, Phoebe ; Antonini, Angelo ; Missimer, John ; Leenders, Klaus L ; Eidelberg, David</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-h295t-63005ed0ab67e3aa60cc95508a4a847a99d4b866c8c20623da5fbba48cdbea483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Biological and medical sciences</topic><topic>Brain - diagnostic imaging</topic><topic>Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases</topic><topic>Female</topic><topic>Fluorodeoxyglucose F18</topic><topic>Humans</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Nervous system</topic><topic>Neurology</topic><topic>Prospective Studies</topic><topic>Radionuclide investigations</topic><topic>Radiopharmaceuticals</topic><topic>Reproducibility of Results</topic><topic>Tomography, Emission-Computed - standards</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moeller, James R</creatorcontrib><creatorcontrib>Nakamura, Toshitaka</creatorcontrib><creatorcontrib>Mentis, Marc J</creatorcontrib><creatorcontrib>Dhawan, Vijay</creatorcontrib><creatorcontrib>Spetsieres, Phoebe</creatorcontrib><creatorcontrib>Antonini, Angelo</creatorcontrib><creatorcontrib>Missimer, John</creatorcontrib><creatorcontrib>Leenders, Klaus L</creatorcontrib><creatorcontrib>Eidelberg, David</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of nuclear medicine (1978)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moeller, James R</au><au>Nakamura, Toshitaka</au><au>Mentis, Marc J</au><au>Dhawan, Vijay</au><au>Spetsieres, Phoebe</au><au>Antonini, Angelo</au><au>Missimer, John</au><au>Leenders, Klaus L</au><au>Eidelberg, David</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reproducibility of Regional Metabolic Covariance Patterns: Comparison of Four Populations</atitle><jtitle>The Journal of nuclear medicine (1978)</jtitle><addtitle>J Nucl Med</addtitle><date>1999-08-01</date><risdate>1999</risdate><volume>40</volume><issue>8</issue><spage>1264</spage><epage>1269</epage><pages>1264-1269</pages><issn>0161-5505</issn><eissn>1535-5667</eissn><coden>JNMEAQ</coden><abstract>In a previous [18F]fluorodeoxyglucose (FDG) PET study we analyzed regional metabolic data from a combined group of Parkinson's disease (PD) patients and healthy volunteers (N), using network analysis. By this method, we identified a unique pattern of regional metabolic covariation with an expression which accurately discriminated patients from healthy volunteers. To assess the reproducibility of this pattern as a potential marker for PD, we compared the pattern's topography with that of the disease-related covariance patterns identified in three other independent populations of patients with PD and healthy individuals studied in different PET laboratories.
The following patient populations were studied: group A (original cohort: 22 PD, 20 N; resolution: 7.5 mm full width at half maximum [FWHM]); group B (18 PD, 12 N; resolution: 4.2 mm FWHM); group C (25 PD, 15 N; resolution: 8.0 mm FWHM); and group D (14 PD, 10 N; resolution: 10 mm FWHM). Region weights for the PD-related covariance pattern (PDRP) identified in the group A analysis were correlated with those for the disease-related patterns identified in the analyses of groups B, C and D. In addition, subject scores for the group A PDRP were computed prospectively for every individual in each of the study populations. PDRP scores for PD and N within each cohort were compared.
The PDRP topography identified in group A was highly correlated with each of the corresponding topographies identified in the other populations (r2 approximately 0.60, P < 0.0001). Prospectively computed subject scores for the group A PDRP significantly discriminated PD from N in each population (P < 0.004).
The PDRP topography identified previously in Group A is highly reproducible across patient populations and tomographs. Prospectively computed PDRP scores can accurately discriminate patients from controls in multiple populations studied with different tomographs. Brain network imaging with FDG PET can provide robust metabolic markers for the diagnosis of PD.</abstract><cop>Reston, VA</cop><pub>Soc Nuclear Med</pub><pmid>10450676</pmid><tpages>6</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0161-5505 |
| ispartof | The Journal of nuclear medicine (1978), 1999-08, Vol.40 (8), p.1264-1269 |
| issn | 0161-5505 1535-5667 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_69968560 |
| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Biological and medical sciences Brain - diagnostic imaging Degenerative and inherited degenerative diseases of the nervous system. Leukodystrophies. Prion diseases Female Fluorodeoxyglucose F18 Humans Investigative techniques, diagnostic techniques (general aspects) Male Medical sciences Middle Aged Nervous system Neurology Prospective Studies Radionuclide investigations Radiopharmaceuticals Reproducibility of Results Tomography, Emission-Computed - standards |
| title | Reproducibility of Regional Metabolic Covariance Patterns: Comparison of Four Populations |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T16%3A44%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reproducibility%20of%20Regional%20Metabolic%20Covariance%20Patterns:%20Comparison%20of%20Four%20Populations&rft.jtitle=The%20Journal%20of%20nuclear%20medicine%20(1978)&rft.au=Moeller,%20James%20R&rft.date=1999-08-01&rft.volume=40&rft.issue=8&rft.spage=1264&rft.epage=1269&rft.pages=1264-1269&rft.issn=0161-5505&rft.eissn=1535-5667&rft.coden=JNMEAQ&rft_id=info:doi/&rft_dat=%3Cproquest_pubme%3E43948117%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=219166148&rft_id=info:pmid/10450676&rfr_iscdi=true |