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<meta name="DC.Title" content="American Society of Functional Neuroradiology–Recommended fMRI Paradigm Algorithms for Presurgical Language Assessment" />
<meta name="DC.Identifier" content="10.3174/ajnr.A5345" />
<meta name="DC.Date" content="2017-10-01" />
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<meta name="DC.Description" content="INTRODUCTION: Functional MR imaging is increasingly being used for presurgical language assessment in the treatment of patients with brain tumors, epilepsy, vascular malformations, and other conditions. The inherent complexity of fMRI, which includes numerous processing steps and selective analyses, is compounded by institution-unique approaches to patient training, paradigm choice, and an eclectic array of postprocessing options from various vendors. Consequently, institutions perform fMRI in such markedly different manners that data sharing, comparison, and generalization of results are difficult. The American Society of Functional Neuroradiology proposes widespread adoption of common fMRI language paradigms as the first step in countering this lost opportunity to advance our knowledge and improve patient care.

LANGUAGE PARADIGM REVIEW PROCESS: A taskforce of American Society of Functional Neuroradiology members from multiple institutions used a broad literature review, member polls, and expert opinion to converge on 2 sets of standard language paradigms that strike a balance between ease of application and clinical usefulness.

ASFNR RECOMMENDATIONS: The taskforce generated an adult language paradigm algorithm for presurgical language assessment including the following tasks: Sentence Completion, Silent Word Generation, Rhyming, Object Naming, and/or Passive Story Listening. The pediatric algorithm includes the following tasks: Sentence Completion, Rhyming, Antonym Generation, or Passive Story Listening.

DISCUSSION: Convergence of fMRI language paradigms across institutions offers the first step in providing a “Rosetta Stone” that provides a common reference point with which to compare and contrast the usefulness and reliability of fMRI data. From this common language task battery, future refinements and improvements are anticipated, particularly as objective measures of reliability become available. Some commonality of practice is a necessary first step to develop a foundation on which to improve the clinical utility of this field.

AG
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ASFNR
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BOLD
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CVR
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ECS
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NVU
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ON
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LI
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PSL
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SC
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<meta name="article:published_time" content="2017-10-01" />
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&lt;p&gt;Functional MR imaging is increasingly being used for presurgical language assessment in the treatment of patients with brain tumors, epilepsy, vascular malformations, and other conditions. The inherent complexity of fMRI, which includes numerous processing steps and selective analyses, is compounded by institution-unique approaches to patient training, paradigm choice, and an eclectic array of postprocessing options from various vendors. Consequently, institutions perform fMRI in such markedly different manners that data sharing, comparison, and generalization of results are difficult. The American Society of Functional Neuroradiology proposes widespread adoption of common fMRI language paradigms as the first step in countering this lost opportunity to advance our knowledge and improve patient care.&lt;/p&gt;&lt;h3&gt;LANGUAGE PARADIGM REVIEW PROCESS:&lt;/h3&gt;
&lt;p&gt;A taskforce of American Society of Functional Neuroradiology members from multiple institutions used a broad literature review, member polls, and expert opinion to converge on 2 sets of standard language paradigms that strike a balance between ease of application and clinical usefulness.&lt;/p&gt;&lt;h3&gt;ASFNR RECOMMENDATIONS:&lt;/h3&gt;
&lt;p&gt;The taskforce generated an adult language paradigm algorithm for presurgical language assessment including the following tasks: Sentence Completion, Silent Word Generation, Rhyming, Object Naming, and/or Passive Story Listening. The pediatric algorithm includes the following tasks: Sentence Completion, Rhyming, Antonym Generation, or Passive Story Listening.&lt;/p&gt;&lt;h3&gt;DISCUSSION:&lt;/h3&gt;
&lt;p&gt;Convergence of fMRI language paradigms across institutions offers the first step in providing a “Rosetta Stone” that provides a common reference point with which to compare and contrast the usefulness and reliability of fMRI data. From this common language task battery, future refinements and improvements are anticipated, particularly as objective measures of reliability become available. Some commonality of practice is a necessary first step to develop a foundation on which to improve the clinical utility of this field.&lt;/p&gt;" />
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<meta name="twitter:title" content="American Society of Functional Neuroradiology–Recommended fMRI Paradigm Algorithms for Presurgical Language Assessment" />
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<meta name="twitter:description" content="INTRODUCTION: Functional MR imaging is increasingly being used for presurgical language assessment in the treatment of patients with brain tumors, epilepsy, vascular malformations, and other conditions. The inherent complexity of fMRI, which includes numerous processing steps and selective analyses, is compounded by institution-unique approaches to patient training, paradigm choice, and an eclectic array of postprocessing options from various vendors. Consequently, institutions perform fMRI in such markedly different manners that data sharing, comparison, and generalization of results are difficult. The American Society of Functional Neuroradiology proposes widespread adoption of common fMRI language paradigms as the first step in countering this lost opportunity to advance our knowledge and improve patient care.

LANGUAGE PARADIGM REVIEW PROCESS: A taskforce of American Society of Functional Neuroradiology members from multiple institutions used a broad literature review, member polls, and expert opinion to converge on 2 sets of standard language paradigms that strike a balance between ease of application and clinical usefulness.

ASFNR RECOMMENDATIONS: The taskforce generated an adult language paradigm algorithm for presurgical language assessment including the following tasks: Sentence Completion, Silent Word Generation, Rhyming, Object Naming, and/or Passive Story Listening. The pediatric algorithm includes the following tasks: Sentence Completion, Rhyming, Antonym Generation, or Passive Story Listening.

DISCUSSION: Convergence of fMRI language paradigms across institutions offers the first step in providing a “Rosetta Stone” that provides a common reference point with which to compare and contrast the usefulness and reliability of fMRI data. From this common language task battery, future refinements and improvements are anticipated, particularly as objective measures of reliability become available. Some commonality of practice is a necessary first step to develop a foundation on which to improve the clinical utility of this field.

AG
:   Antonym Generation
ASFNR
:   American Society of Functional Neuroradiology
BOLD
:   blood oxygen level–dependent
CVR
:   cerebrovascular reactivity
ECS
:   electrocortical stimulation
NVU
:   neurovascular uncoupling
ON
:   Object Naming
LI
:   laterality index
PSL
:   Passive Story Listening
SC
:   Sentence Completion
SWG
:   Silent Word Generation" />
<meta name="og-title" property="og:title" content="American Society of Functional Neuroradiology–Recommended fMRI Paradigm Algorithms for Presurgical Language Assessment" />
<meta name="og-url" property="og:url" content="http://ajnr-stage2.stage.highwire.org/content/38/10/E65" />
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<meta name="og-description" property="og:description" content="INTRODUCTION: Functional MR imaging is increasingly being used for presurgical language assessment in the treatment of patients with brain tumors, epilepsy, vascular malformations, and other conditions. The inherent complexity of fMRI, which includes numerous processing steps and selective analyses, is compounded by institution-unique approaches to patient training, paradigm choice, and an eclectic array of postprocessing options from various vendors. Consequently, institutions perform fMRI in such markedly different manners that data sharing, comparison, and generalization of results are difficult. The American Society of Functional Neuroradiology proposes widespread adoption of common fMRI language paradigms as the first step in countering this lost opportunity to advance our knowledge and improve patient care.

LANGUAGE PARADIGM REVIEW PROCESS: A taskforce of American Society of Functional Neuroradiology members from multiple institutions used a broad literature review, member polls, and expert opinion to converge on 2 sets of standard language paradigms that strike a balance between ease of application and clinical usefulness.

ASFNR RECOMMENDATIONS: The taskforce generated an adult language paradigm algorithm for presurgical language assessment including the following tasks: Sentence Completion, Silent Word Generation, Rhyming, Object Naming, and/or Passive Story Listening. The pediatric algorithm includes the following tasks: Sentence Completion, Rhyming, Antonym Generation, or Passive Story Listening.

DISCUSSION: Convergence of fMRI language paradigms across institutions offers the first step in providing a “Rosetta Stone” that provides a common reference point with which to compare and contrast the usefulness and reliability of fMRI data. From this common language task battery, future refinements and improvements are anticipated, particularly as objective measures of reliability become available. Some commonality of practice is a necessary first step to develop a foundation on which to improve the clinical utility of this field.

AG
:   Antonym Generation
ASFNR
:   American Society of Functional Neuroradiology
BOLD
:   blood oxygen level–dependent
CVR
:   cerebrovascular reactivity
ECS
:   electrocortical stimulation
NVU
:   neurovascular uncoupling
ON
:   Object Naming
LI
:   laterality index
PSL
:   Passive Story Listening
SC
:   Sentence Completion
SWG
:   Silent Word Generation" />
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    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0">D.F. Black</span>, <span class="highwire-citation-author" data-delta="1">B. Vachha</span>, <span class="highwire-citation-author" data-delta="2">A. Mian</span>, <span class="highwire-citation-author" data-delta="3">S.H. Faro</span>, <span class="highwire-citation-author" data-delta="4">M. Maheshwari</span>, <span class="highwire-citation-author" data-delta="5">H.I. Sair</span>, <span class="highwire-citation-author" data-delta="6">J.R. Petrella</span>, <span class="highwire-citation-author" data-delta="7">J.J. Pillai</span> and <span class="highwire-citation-author" data-delta="8">K. Welker</span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">October 2017,  </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">38 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(10) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">E65-E73; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.3174/ajnr.A5345 </span></div>
  
  
  
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<div id="hw-article-author-popups-top-node-56251--6578520428" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">D.F. Black </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>a</span>From the Mayo Clinic (D.F.B., K.W.), Rochester Minnesota</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=D.F.%2BBlack%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Black%20D&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AD.F.%2BBlack%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0003-3528-435X" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for D.F. Black</a></li></ul></div><div class="author-tooltip-1"><div class="author-tooltip-name">B. Vachha </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>Memorial Sloan Kettering Cancer Center (B.V.), New York, New York</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=B.%2BVachha%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Vachha%20B&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AB.%2BVachha%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0001-7462-1422" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for B. Vachha</a></li></ul></div><div class="author-tooltip-2"><div class="author-tooltip-name">A. Mian </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>c</span>Boston University School of Medicine (A.M.), Boston, Massachusetts</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=A.%2BMian%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Mian%20A&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AA.%2BMian%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0001-8423-4282" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for A. Mian</a></li></ul></div><div class="author-tooltip-3"><div class="author-tooltip-name">S.H. Faro </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>d</span>Johns Hopkins University School of Medicine and the Johns Hopkins Hospital (S.H.F., H.I.S., J.J.P.), Baltimore, Maryland</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=S.H.%2BFaro%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Faro%20S&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AS.H.%2BFaro%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0003-0027-8806" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for S.H. Faro</a></li></ul></div><div class="author-tooltip-4"><div class="author-tooltip-name">M. Maheshwari </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>e</span>Children's Hospital of Wisconsin (M.M.), Milwaukee, Wisconsin</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=M.%2BMaheshwari%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Maheshwari%20M&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AM.%2BMaheshwari%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0003-1844-0277" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for M. Maheshwari</a></li></ul></div><div class="author-tooltip-5"><div class="author-tooltip-name">H.I. Sair </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>d</span>Johns Hopkins University School of Medicine and the Johns Hopkins Hospital (S.H.F., H.I.S., J.J.P.), Baltimore, Maryland</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=H.I.%2BSair%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Sair%20H&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AH.I.%2BSair%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0002-5077-0471" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for H.I. Sair</a></li></ul></div><div class="author-tooltip-6"><div class="author-tooltip-name">J.R. Petrella </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>f</span>Duke University School of Medicine, (J.R.P.) 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        	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-volume highwire-cite-metadata">Vol. 38</span>, <span  class="highwire-cite-metadata-issue highwire-cite-metadata">Issue 10 </span><div  class="highwire-cite-metadata-pubdate highwire-cite-metadata">1 Oct 2017 </div></div>
      
      
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      <div class="highwire-cite-title">American Society of Functional Neuroradiology–Recommended fMRI Paradigm Algorithms for Presurgical Language Assessment</div>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0"><span class="nlm-given-names">D.F.</span> <span class="nlm-surname">Black</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">B.</span> <span class="nlm-surname">Vachha</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">A.</span> <span class="nlm-surname">Mian</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">S.H.</span> <span class="nlm-surname">Faro</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">M.</span> <span class="nlm-surname">Maheshwari</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">H.I.</span> <span class="nlm-surname">Sair</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">J.R.</span> <span class="nlm-surname">Petrella</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">J.J.</span> <span class="nlm-surname">Pillai</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">K.</span> <span class="nlm-surname">Welker</span></span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-oa-ind highwire-cite-metadata"><i class="highwire-oa-indicator"></i> </span><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">Oct 2017, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">38 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(10) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">E65-E73; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A5345 </span></div>
  
  
  
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