Modeling of the Hemodynamic Responses in Block Design fMRI Studies

The hemodynamic response function (HRF) describes the local response of brain vasculature to functional activation. Accurate HRF modeling enables the investigation of cerebral blood flow regulation and improves our ability to interpret fMRI results. Block designs have been used extensively as fMRI p...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of cerebral blood flow and metabolism 2014-02, Vol.34 (2), p.316-324
Hauptverfasser: Shan, Zuyao Y, Wright, Margaret J, Thompson, Paul M, McMahon, Katie L, Blokland, Gabriella G A M, de Zubicaray, Greig I, Martin, Nicholas G, Vinkhuyzen, Anna A E, Reutens, David C
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 324
container_issue 2
container_start_page 316
container_title Journal of cerebral blood flow and metabolism
container_volume 34
creator Shan, Zuyao Y
Wright, Margaret J
Thompson, Paul M
McMahon, Katie L
Blokland, Gabriella G A M
de Zubicaray, Greig I
Martin, Nicholas G
Vinkhuyzen, Anna A E
Reutens, David C
description The hemodynamic response function (HRF) describes the local response of brain vasculature to functional activation. Accurate HRF modeling enables the investigation of cerebral blood flow regulation and improves our ability to interpret fMRI results. Block designs have been used extensively as fMRI paradigms because detection power is maximized; however, block designs are not optimal for HRF parameter estimation. Here we assessed the utility of block design fMRI data for HRF modeling. The trueness (relative deviation), precision (relative uncertainty), and identifiability (goodness-of-fit) of different HRF models were examined and test–retest reproducibility of HRF parameter estimates was assessed using computer simulations and fMRI data from 82 healthy young adult twins acquired on two occasions 3 to 4 months apart. The effects of systematically varying attributes of the block design paradigm were also examined. In our comparison of five HRF models, the model comprising the sum of two gamma functions with six free parameters had greatest parameter accuracy and identifiability. Hemodynamic response function height and time to peak were highly reproducible between studies and width was moderately reproducible but the reproducibility of onset time was low. This study established the feasibility and test–retest reliability of estimating HRF parameters using data from block design fMRI studies.
doi_str_mv 10.1038/jcbfm.2013.200
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3915209</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1038_jcbfm.2013.200</sage_id><sourcerecordid>1500776555</sourcerecordid><originalsourceid>FETCH-LOGICAL-c553t-fdd18955e7ae405893d18465b8741185f0e8df861137c198394f21ffd1bf0de73</originalsourceid><addsrcrecordid>eNqFkdFrFDEQh4Mo9jx99VECvgiy15nNZpN9EWzVttAiVAXfwt5mcs25m5ybXaH_vbu9WmoRfJkQ8uU3k3yMvURYIQh9uG3WrlvlgGIq8IgtUMoqU4DlY7aAXGFWKv39gD1LaQsAWkj5lB3kRS5zXagFO7qIllofNjw6PlwRP6Uu2utQd77hl5R2MSRK3Ad-1MbmB_9AyW8CdxeXZ_zLMFpP6Tl74uo20Yvbdcm-ffr49fg0O_98cnb8_jxrpBRD5qxFXUlJqqYCpK7EtC9KudaqQNTSAWnrdIkoVIOVFlXhcnTO4tqBJSWW7N0-dzeuO7INhaGvW7PrfVf31ybW3vx9EvyV2cRfRlQoc6imgDe3AX38OVIaTOdTQ21bB4pjMigBlCrlNO5_0aIqBJSAc-rrB-g2jn2YfmKmhAaBk6klW-2ppo8p9eTu5kYws0lzY9LMJqcyX3h1_7V3-B91E_B2D6R6Q_d6_jvuN2wqpk8</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1493803110</pqid></control><display><type>article</type><title>Modeling of the Hemodynamic Responses in Block Design fMRI Studies</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>SAGE Complete A-Z List</source><source>PubMed Central</source><creator>Shan, Zuyao Y ; Wright, Margaret J ; Thompson, Paul M ; McMahon, Katie L ; Blokland, Gabriella G A M ; de Zubicaray, Greig I ; Martin, Nicholas G ; Vinkhuyzen, Anna A E ; Reutens, David C</creator><creatorcontrib>Shan, Zuyao Y ; Wright, Margaret J ; Thompson, Paul M ; McMahon, Katie L ; Blokland, Gabriella G A M ; de Zubicaray, Greig I ; Martin, Nicholas G ; Vinkhuyzen, Anna A E ; Reutens, David C</creatorcontrib><description>The hemodynamic response function (HRF) describes the local response of brain vasculature to functional activation. Accurate HRF modeling enables the investigation of cerebral blood flow regulation and improves our ability to interpret fMRI results. Block designs have been used extensively as fMRI paradigms because detection power is maximized; however, block designs are not optimal for HRF parameter estimation. Here we assessed the utility of block design fMRI data for HRF modeling. The trueness (relative deviation), precision (relative uncertainty), and identifiability (goodness-of-fit) of different HRF models were examined and test–retest reproducibility of HRF parameter estimates was assessed using computer simulations and fMRI data from 82 healthy young adult twins acquired on two occasions 3 to 4 months apart. The effects of systematically varying attributes of the block design paradigm were also examined. In our comparison of five HRF models, the model comprising the sum of two gamma functions with six free parameters had greatest parameter accuracy and identifiability. Hemodynamic response function height and time to peak were highly reproducible between studies and width was moderately reproducible but the reproducibility of onset time was low. This study established the feasibility and test–retest reliability of estimating HRF parameters using data from block design fMRI studies.</description><identifier>ISSN: 0271-678X</identifier><identifier>EISSN: 1559-7016</identifier><identifier>DOI: 10.1038/jcbfm.2013.200</identifier><identifier>PMID: 24252847</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Adult ; Blood Flow Velocity ; Brain mapping ; Cerebrovascular Circulation ; Computer Simulation ; Female ; Humans ; Magnetic Resonance Angiography ; Male ; Models, Cardiovascular ; Original ; Reproducibility of Results</subject><ispartof>Journal of cerebral blood flow and metabolism, 2014-02, Vol.34 (2), p.316-324</ispartof><rights>2014 ISCBFM</rights><rights>Copyright Nature Publishing Group Feb 2014</rights><rights>Copyright © 2014 International Society for Cerebral Blood Flow &amp; Metabolism, Inc. 2014 International Society for Cerebral Blood Flow &amp; Metabolism, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c553t-fdd18955e7ae405893d18465b8741185f0e8df861137c198394f21ffd1bf0de73</citedby><cites>FETCH-LOGICAL-c553t-fdd18955e7ae405893d18465b8741185f0e8df861137c198394f21ffd1bf0de73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3915209/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3915209/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,21818,27923,27924,43620,43621,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24252847$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shan, Zuyao Y</creatorcontrib><creatorcontrib>Wright, Margaret J</creatorcontrib><creatorcontrib>Thompson, Paul M</creatorcontrib><creatorcontrib>McMahon, Katie L</creatorcontrib><creatorcontrib>Blokland, Gabriella G A M</creatorcontrib><creatorcontrib>de Zubicaray, Greig I</creatorcontrib><creatorcontrib>Martin, Nicholas G</creatorcontrib><creatorcontrib>Vinkhuyzen, Anna A E</creatorcontrib><creatorcontrib>Reutens, David C</creatorcontrib><title>Modeling of the Hemodynamic Responses in Block Design fMRI Studies</title><title>Journal of cerebral blood flow and metabolism</title><addtitle>J Cereb Blood Flow Metab</addtitle><description>The hemodynamic response function (HRF) describes the local response of brain vasculature to functional activation. Accurate HRF modeling enables the investigation of cerebral blood flow regulation and improves our ability to interpret fMRI results. Block designs have been used extensively as fMRI paradigms because detection power is maximized; however, block designs are not optimal for HRF parameter estimation. Here we assessed the utility of block design fMRI data for HRF modeling. The trueness (relative deviation), precision (relative uncertainty), and identifiability (goodness-of-fit) of different HRF models were examined and test–retest reproducibility of HRF parameter estimates was assessed using computer simulations and fMRI data from 82 healthy young adult twins acquired on two occasions 3 to 4 months apart. The effects of systematically varying attributes of the block design paradigm were also examined. In our comparison of five HRF models, the model comprising the sum of two gamma functions with six free parameters had greatest parameter accuracy and identifiability. Hemodynamic response function height and time to peak were highly reproducible between studies and width was moderately reproducible but the reproducibility of onset time was low. This study established the feasibility and test–retest reliability of estimating HRF parameters using data from block design fMRI studies.</description><subject>Adult</subject><subject>Blood Flow Velocity</subject><subject>Brain mapping</subject><subject>Cerebrovascular Circulation</subject><subject>Computer Simulation</subject><subject>Female</subject><subject>Humans</subject><subject>Magnetic Resonance Angiography</subject><subject>Male</subject><subject>Models, Cardiovascular</subject><subject>Original</subject><subject>Reproducibility of Results</subject><issn>0271-678X</issn><issn>1559-7016</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</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>eNqFkdFrFDEQh4Mo9jx99VECvgiy15nNZpN9EWzVttAiVAXfwt5mcs25m5ybXaH_vbu9WmoRfJkQ8uU3k3yMvURYIQh9uG3WrlvlgGIq8IgtUMoqU4DlY7aAXGFWKv39gD1LaQsAWkj5lB3kRS5zXagFO7qIllofNjw6PlwRP6Uu2utQd77hl5R2MSRK3Ad-1MbmB_9AyW8CdxeXZ_zLMFpP6Tl74uo20Yvbdcm-ffr49fg0O_98cnb8_jxrpBRD5qxFXUlJqqYCpK7EtC9KudaqQNTSAWnrdIkoVIOVFlXhcnTO4tqBJSWW7N0-dzeuO7INhaGvW7PrfVf31ybW3vx9EvyV2cRfRlQoc6imgDe3AX38OVIaTOdTQ21bB4pjMigBlCrlNO5_0aIqBJSAc-rrB-g2jn2YfmKmhAaBk6klW-2ppo8p9eTu5kYws0lzY9LMJqcyX3h1_7V3-B91E_B2D6R6Q_d6_jvuN2wqpk8</recordid><startdate>20140201</startdate><enddate>20140201</enddate><creator>Shan, Zuyao Y</creator><creator>Wright, Margaret J</creator><creator>Thompson, Paul M</creator><creator>McMahon, Katie L</creator><creator>Blokland, Gabriella G A M</creator><creator>de Zubicaray, Greig I</creator><creator>Martin, Nicholas G</creator><creator>Vinkhuyzen, Anna A E</creator><creator>Reutens, David C</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>7TK</scope><scope>5PM</scope></search><sort><creationdate>20140201</creationdate><title>Modeling of the Hemodynamic Responses in Block Design fMRI Studies</title><author>Shan, Zuyao Y ; Wright, Margaret J ; Thompson, Paul M ; McMahon, Katie L ; Blokland, Gabriella G A M ; de Zubicaray, Greig I ; Martin, Nicholas G ; Vinkhuyzen, Anna A E ; Reutens, David C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c553t-fdd18955e7ae405893d18465b8741185f0e8df861137c198394f21ffd1bf0de73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Blood Flow Velocity</topic><topic>Brain mapping</topic><topic>Cerebrovascular Circulation</topic><topic>Computer Simulation</topic><topic>Female</topic><topic>Humans</topic><topic>Magnetic Resonance Angiography</topic><topic>Male</topic><topic>Models, Cardiovascular</topic><topic>Original</topic><topic>Reproducibility of Results</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shan, Zuyao Y</creatorcontrib><creatorcontrib>Wright, Margaret J</creatorcontrib><creatorcontrib>Thompson, Paul M</creatorcontrib><creatorcontrib>McMahon, Katie L</creatorcontrib><creatorcontrib>Blokland, Gabriella G A M</creatorcontrib><creatorcontrib>de Zubicaray, Greig I</creatorcontrib><creatorcontrib>Martin, Nicholas G</creatorcontrib><creatorcontrib>Vinkhuyzen, Anna A E</creatorcontrib><creatorcontrib>Reutens, David C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech 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>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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 &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</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>MEDLINE - Academic</collection><collection>Neurosciences Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of cerebral blood flow and metabolism</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shan, Zuyao Y</au><au>Wright, Margaret J</au><au>Thompson, Paul M</au><au>McMahon, Katie L</au><au>Blokland, Gabriella G A M</au><au>de Zubicaray, Greig I</au><au>Martin, Nicholas G</au><au>Vinkhuyzen, Anna A E</au><au>Reutens, David C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling of the Hemodynamic Responses in Block Design fMRI Studies</atitle><jtitle>Journal of cerebral blood flow and metabolism</jtitle><addtitle>J Cereb Blood Flow Metab</addtitle><date>2014-02-01</date><risdate>2014</risdate><volume>34</volume><issue>2</issue><spage>316</spage><epage>324</epage><pages>316-324</pages><issn>0271-678X</issn><eissn>1559-7016</eissn><abstract>The hemodynamic response function (HRF) describes the local response of brain vasculature to functional activation. Accurate HRF modeling enables the investigation of cerebral blood flow regulation and improves our ability to interpret fMRI results. Block designs have been used extensively as fMRI paradigms because detection power is maximized; however, block designs are not optimal for HRF parameter estimation. Here we assessed the utility of block design fMRI data for HRF modeling. The trueness (relative deviation), precision (relative uncertainty), and identifiability (goodness-of-fit) of different HRF models were examined and test–retest reproducibility of HRF parameter estimates was assessed using computer simulations and fMRI data from 82 healthy young adult twins acquired on two occasions 3 to 4 months apart. The effects of systematically varying attributes of the block design paradigm were also examined. In our comparison of five HRF models, the model comprising the sum of two gamma functions with six free parameters had greatest parameter accuracy and identifiability. Hemodynamic response function height and time to peak were highly reproducible between studies and width was moderately reproducible but the reproducibility of onset time was low. This study established the feasibility and test–retest reliability of estimating HRF parameters using data from block design fMRI studies.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>24252847</pmid><doi>10.1038/jcbfm.2013.200</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0271-678X
ispartof Journal of cerebral blood flow and metabolism, 2014-02, Vol.34 (2), p.316-324
issn 0271-678X
1559-7016
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3915209
source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SAGE Complete A-Z List; PubMed Central
subjects Adult
Blood Flow Velocity
Brain mapping
Cerebrovascular Circulation
Computer Simulation
Female
Humans
Magnetic Resonance Angiography
Male
Models, Cardiovascular
Original
Reproducibility of Results
title Modeling of the Hemodynamic Responses in Block Design fMRI Studies
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T17%3A25%3A15IST&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=Modeling%20of%20the%20Hemodynamic%20Responses%20in%20Block%20Design%20fMRI%20Studies&rft.jtitle=Journal%20of%20cerebral%20blood%20flow%20and%20metabolism&rft.au=Shan,%20Zuyao%20Y&rft.date=2014-02-01&rft.volume=34&rft.issue=2&rft.spage=316&rft.epage=324&rft.pages=316-324&rft.issn=0271-678X&rft.eissn=1559-7016&rft_id=info:doi/10.1038/jcbfm.2013.200&rft_dat=%3Cproquest_pubme%3E1500776555%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=1493803110&rft_id=info:pmid/24252847&rft_sage_id=10.1038_jcbfm.2013.200&rfr_iscdi=true