A New Paradigm for Individual Subject Language Mapping: Movie-Watching fMRI
ABSTRACT BACKGROUND Functional MRI (fMRI) based on language tasks has been used in presurgical language mapping in patients with lesions in or near putative language areas. However, if patients have difficulty performing the tasks due to neurological deficits, it leads to unreliable or noninterpreta...
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Veröffentlicht in: | Journal of neuroimaging 2015-09, Vol.25 (5), p.710-720 |
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description | ABSTRACT
BACKGROUND
Functional MRI (fMRI) based on language tasks has been used in presurgical language mapping in patients with lesions in or near putative language areas. However, if patients have difficulty performing the tasks due to neurological deficits, it leads to unreliable or noninterpretable results. In this study, we investigate the feasibility of using a movie‐watching fMRI for language mapping.
METHODS
A 7‐minute movie clip with contrasting speech and nonspeech segments was shown to 22 right‐handed healthy subjects. Based on all subjects’ language functional regions‐of‐interest, 6 language response areas were defined, within which a language response model (LRM) was derived by extracting the main temporal activation profile. Using a leave‐one‐out procedure, individuals’ language areas were identified as the areas that expressed highly correlated temporal responses with the LRM derived from an independent group of subjects.
RESULTS
Compared with an antonym generation task‐based fMRI, the movie‐watching fMRI generated language maps with more localized activations in the left frontal language area, larger activations in the left temporoparietal language area, and significant activations in their right‐hemisphere homologues. Results of 2 brain tumor patients’ movie‐watching fMRI using the LRM derived from the healthy subjects indicated its ability to map putative language areas; while their task‐based fMRI maps were less robust and noisier.
CONCLUSIONS
These results suggest that it is feasible to use this novel “task‐free” paradigm as a complementary tool for fMRI language mapping when patients cannot perform the tasks. Its deployment in more neurosurgical patients and validation against gold‐standard techniques need further investigation. |
doi_str_mv | 10.1111/jon.12251 |
format | Article |
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BACKGROUND
Functional MRI (fMRI) based on language tasks has been used in presurgical language mapping in patients with lesions in or near putative language areas. However, if patients have difficulty performing the tasks due to neurological deficits, it leads to unreliable or noninterpretable results. In this study, we investigate the feasibility of using a movie‐watching fMRI for language mapping.
METHODS
A 7‐minute movie clip with contrasting speech and nonspeech segments was shown to 22 right‐handed healthy subjects. Based on all subjects’ language functional regions‐of‐interest, 6 language response areas were defined, within which a language response model (LRM) was derived by extracting the main temporal activation profile. Using a leave‐one‐out procedure, individuals’ language areas were identified as the areas that expressed highly correlated temporal responses with the LRM derived from an independent group of subjects.
RESULTS
Compared with an antonym generation task‐based fMRI, the movie‐watching fMRI generated language maps with more localized activations in the left frontal language area, larger activations in the left temporoparietal language area, and significant activations in their right‐hemisphere homologues. Results of 2 brain tumor patients’ movie‐watching fMRI using the LRM derived from the healthy subjects indicated its ability to map putative language areas; while their task‐based fMRI maps were less robust and noisier.
CONCLUSIONS
These results suggest that it is feasible to use this novel “task‐free” paradigm as a complementary tool for fMRI language mapping when patients cannot perform the tasks. Its deployment in more neurosurgical patients and validation against gold‐standard techniques need further investigation.</description><identifier>ISSN: 1051-2284</identifier><identifier>EISSN: 1552-6569</identifier><identifier>DOI: 10.1111/jon.12251</identifier><identifier>PMID: 25962953</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Acoustic Stimulation - methods ; Adult ; Algorithms ; Brain Mapping - methods ; Cerebral Cortex - physiology ; Evoked Potentials - physiology ; Humans ; Language ; Language mapping ; Magnetic Resonance Imaging - methods ; Motion Pictures ; movie-watching fMRI ; naturalistic language stimuli ; Neuroimaging ; NMR ; Nuclear magnetic resonance ; Photic Stimulation - methods ; presurgical planning ; Reproducibility of Results ; Sensitivity and Specificity ; task-based fMRI ; Young Adult</subject><ispartof>Journal of neuroimaging, 2015-09, Vol.25 (5), p.710-720</ispartof><rights>Copyright © 2015 by the American Society of Neuroimaging</rights><rights>Copyright © 2015 by the American Society of Neuroimaging.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5841-c4893b81d86144305717ae94d7fcbdc747253e6b91bd3a029ff7ea3b9e7e84f93</citedby><cites>FETCH-LOGICAL-c5841-c4893b81d86144305717ae94d7fcbdc747253e6b91bd3a029ff7ea3b9e7e84f93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjon.12251$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjon.12251$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25962953$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tie, Yanmei</creatorcontrib><creatorcontrib>Rigolo, Laura</creatorcontrib><creatorcontrib>Ozdemir Ovalioglu, Aysegul</creatorcontrib><creatorcontrib>Olubiyi, Olutayo</creatorcontrib><creatorcontrib>Doolin, Kelly L.</creatorcontrib><creatorcontrib>Mukundan Jr, Srinivasan</creatorcontrib><creatorcontrib>Golby, Alexandra J.</creatorcontrib><title>A New Paradigm for Individual Subject Language Mapping: Movie-Watching fMRI</title><title>Journal of neuroimaging</title><addtitle>Journal of Neuroimaging</addtitle><description>ABSTRACT
BACKGROUND
Functional MRI (fMRI) based on language tasks has been used in presurgical language mapping in patients with lesions in or near putative language areas. However, if patients have difficulty performing the tasks due to neurological deficits, it leads to unreliable or noninterpretable results. In this study, we investigate the feasibility of using a movie‐watching fMRI for language mapping.
METHODS
A 7‐minute movie clip with contrasting speech and nonspeech segments was shown to 22 right‐handed healthy subjects. Based on all subjects’ language functional regions‐of‐interest, 6 language response areas were defined, within which a language response model (LRM) was derived by extracting the main temporal activation profile. Using a leave‐one‐out procedure, individuals’ language areas were identified as the areas that expressed highly correlated temporal responses with the LRM derived from an independent group of subjects.
RESULTS
Compared with an antonym generation task‐based fMRI, the movie‐watching fMRI generated language maps with more localized activations in the left frontal language area, larger activations in the left temporoparietal language area, and significant activations in their right‐hemisphere homologues. Results of 2 brain tumor patients’ movie‐watching fMRI using the LRM derived from the healthy subjects indicated its ability to map putative language areas; while their task‐based fMRI maps were less robust and noisier.
CONCLUSIONS
These results suggest that it is feasible to use this novel “task‐free” paradigm as a complementary tool for fMRI language mapping when patients cannot perform the tasks. Its deployment in more neurosurgical patients and validation against gold‐standard techniques need further investigation.</description><subject>Acoustic Stimulation - methods</subject><subject>Adult</subject><subject>Algorithms</subject><subject>Brain Mapping - methods</subject><subject>Cerebral Cortex - physiology</subject><subject>Evoked Potentials - physiology</subject><subject>Humans</subject><subject>Language</subject><subject>Language mapping</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Motion Pictures</subject><subject>movie-watching fMRI</subject><subject>naturalistic language stimuli</subject><subject>Neuroimaging</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Photic Stimulation - methods</subject><subject>presurgical planning</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>task-based fMRI</subject><subject>Young Adult</subject><issn>1051-2284</issn><issn>1552-6569</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU9v0zAchiMEYmNw4AugSFzgkM3_HXNAmiYYZWmHBmhHy3F-yVxSuzhJx749Ht0qQELCF9vy8z6y_WbZc4wOcRpHy-APMSEcP8j2MeekEFyoh2mNOC4IKdle9mQYlggRzAh9nO0RrgRRnO5nZ8f5Aq7zTyaaxnWrvA0xn_nGbVwzmT7_PNVLsGNeGd9NpoN8btZr57s3-TxsHBSXZrRXaZ-384vZ0-xRa_oBnt3NB9nX9---nHwoqvPT2clxVVheMlxYVipal7gpBWaMIi6xNKBYI1tbN1YySTgFUStcN9QgotpWgqG1AgklaxU9yN5uveupXkFjwY_R9Hod3crEGx2M03-eeHelu7DRjFMpSpIEr-4EMXyfYBj1yg0W-t54CNOgsUQKC45E-T8oo0xihRL68i90Gabo00_cUrRUTEiWqNdbysYwDBHa3b0x0rdtppTXv9pM7IvfH7oj7-tLwNEWuHY93PzbpD-eL-6VxTbhhhF-7BImftNCUsn15eJUn1WUzBcXSFf0J6Satno</recordid><startdate>201509</startdate><enddate>201509</enddate><creator>Tie, Yanmei</creator><creator>Rigolo, Laura</creator><creator>Ozdemir Ovalioglu, Aysegul</creator><creator>Olubiyi, Olutayo</creator><creator>Doolin, Kelly L.</creator><creator>Mukundan Jr, Srinivasan</creator><creator>Golby, Alexandra J.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><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>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201509</creationdate><title>A New Paradigm for Individual Subject Language Mapping: Movie-Watching fMRI</title><author>Tie, Yanmei ; Rigolo, Laura ; Ozdemir Ovalioglu, Aysegul ; Olubiyi, Olutayo ; Doolin, Kelly L. ; Mukundan Jr, Srinivasan ; Golby, Alexandra J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5841-c4893b81d86144305717ae94d7fcbdc747253e6b91bd3a029ff7ea3b9e7e84f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Acoustic Stimulation - methods</topic><topic>Adult</topic><topic>Algorithms</topic><topic>Brain Mapping - methods</topic><topic>Cerebral Cortex - physiology</topic><topic>Evoked Potentials - physiology</topic><topic>Humans</topic><topic>Language</topic><topic>Language mapping</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Motion Pictures</topic><topic>movie-watching fMRI</topic><topic>naturalistic language stimuli</topic><topic>Neuroimaging</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Photic Stimulation - methods</topic><topic>presurgical planning</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>task-based fMRI</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tie, Yanmei</creatorcontrib><creatorcontrib>Rigolo, Laura</creatorcontrib><creatorcontrib>Ozdemir Ovalioglu, Aysegul</creatorcontrib><creatorcontrib>Olubiyi, Olutayo</creatorcontrib><creatorcontrib>Doolin, Kelly L.</creatorcontrib><creatorcontrib>Mukundan Jr, Srinivasan</creatorcontrib><creatorcontrib>Golby, Alexandra J.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of neuroimaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tie, Yanmei</au><au>Rigolo, Laura</au><au>Ozdemir Ovalioglu, Aysegul</au><au>Olubiyi, Olutayo</au><au>Doolin, Kelly L.</au><au>Mukundan Jr, Srinivasan</au><au>Golby, Alexandra J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A New Paradigm for Individual Subject Language Mapping: Movie-Watching fMRI</atitle><jtitle>Journal of neuroimaging</jtitle><addtitle>Journal of Neuroimaging</addtitle><date>2015-09</date><risdate>2015</risdate><volume>25</volume><issue>5</issue><spage>710</spage><epage>720</epage><pages>710-720</pages><issn>1051-2284</issn><eissn>1552-6569</eissn><abstract>ABSTRACT
BACKGROUND
Functional MRI (fMRI) based on language tasks has been used in presurgical language mapping in patients with lesions in or near putative language areas. However, if patients have difficulty performing the tasks due to neurological deficits, it leads to unreliable or noninterpretable results. In this study, we investigate the feasibility of using a movie‐watching fMRI for language mapping.
METHODS
A 7‐minute movie clip with contrasting speech and nonspeech segments was shown to 22 right‐handed healthy subjects. Based on all subjects’ language functional regions‐of‐interest, 6 language response areas were defined, within which a language response model (LRM) was derived by extracting the main temporal activation profile. Using a leave‐one‐out procedure, individuals’ language areas were identified as the areas that expressed highly correlated temporal responses with the LRM derived from an independent group of subjects.
RESULTS
Compared with an antonym generation task‐based fMRI, the movie‐watching fMRI generated language maps with more localized activations in the left frontal language area, larger activations in the left temporoparietal language area, and significant activations in their right‐hemisphere homologues. Results of 2 brain tumor patients’ movie‐watching fMRI using the LRM derived from the healthy subjects indicated its ability to map putative language areas; while their task‐based fMRI maps were less robust and noisier.
CONCLUSIONS
These results suggest that it is feasible to use this novel “task‐free” paradigm as a complementary tool for fMRI language mapping when patients cannot perform the tasks. Its deployment in more neurosurgical patients and validation against gold‐standard techniques need further investigation.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>25962953</pmid><doi>10.1111/jon.12251</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Acoustic Stimulation - methods Adult Algorithms Brain Mapping - methods Cerebral Cortex - physiology Evoked Potentials - physiology Humans Language Language mapping Magnetic Resonance Imaging - methods Motion Pictures movie-watching fMRI naturalistic language stimuli Neuroimaging NMR Nuclear magnetic resonance Photic Stimulation - methods presurgical planning Reproducibility of Results Sensitivity and Specificity task-based fMRI Young Adult |
title | A New Paradigm for Individual Subject Language Mapping: Movie-Watching fMRI |
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