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Task‐dependent recruitment of intrinsic brain networks reflects normative variance in cognition
Background Functional neuroimaging has great potential to inform clinical decisions, whether by identifying neural biomarkers of illness progression and severity, predicting therapeutic response, or selecting suitable patients for surgical interventions. Yet a persisting barrier to functional neuroi...
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Published in: | Brain and behavior 2014-09, Vol.4 (5), p.650-664 |
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description | Background
Functional neuroimaging has great potential to inform clinical decisions, whether by identifying neural biomarkers of illness progression and severity, predicting therapeutic response, or selecting suitable patients for surgical interventions. Yet a persisting barrier to functional neuroimaging's clinical translation is our incomplete understanding of how normative variance in cognition, personality, and behavior shape the brain's structural and functional organization. We propose that modeling individual differences in these brain–behavior relationships is crucial for improving the accuracy of neuroimaging biomarkers for neurologic and psychiatric disorders.
Methods
We addressed this goal by initiating the Cognitive Connectome Project, which bridges neuropsychology and neuroimaging by pairing nine cognitive domains typically assessed by clinically validated neuropsychological measures with those tapped by canonical neuroimaging tasks (motor, visuospatial perception, attention, language, memory, affective processing, decision making, working memory, and executive function). To date, we have recruited a diverse sample of 53 participants (mean [SD], age = 32 [9.7] years, 31 females).
Results
As a proof of concept, we first demonstrate that our neuroimaging task battery can replicate previous findings that task performance recruits intrinsic brain networks identified during wakeful rest. We then expand upon these previous findings by showing that the extent to which these networks are recruited by task reflects individual differences in cognitive ability. Specifically, performance on the Judgment of Line Orientation task (a clinically validated measure of visuospatial perception) administered outside of the MRI scanner predicts the magnitude of task‐induced activity of the dorsal visual network when performing a direct replication of this task within the MRI scanner. Other networks (such as default mode and right frontoparietal) showed task‐induced changes in activity that were unrelated to task performance, suggesting these networks to not be involved in visuospatial perception.
Conclusion
These findings establish a methodological framework by which clinical neuropsychology and functional neuroimaging may mutually inform one another, thus enhancing the translation of functional neuroimaging into clinical decision making.
The authors introduce the Cognitive Connectome Project, a merging of clinical neuropsychology and functional neuroimaging with t |
doi_str_mv | 10.1002/brb3.243 |
format | article |
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Functional neuroimaging has great potential to inform clinical decisions, whether by identifying neural biomarkers of illness progression and severity, predicting therapeutic response, or selecting suitable patients for surgical interventions. Yet a persisting barrier to functional neuroimaging's clinical translation is our incomplete understanding of how normative variance in cognition, personality, and behavior shape the brain's structural and functional organization. We propose that modeling individual differences in these brain–behavior relationships is crucial for improving the accuracy of neuroimaging biomarkers for neurologic and psychiatric disorders.
Methods
We addressed this goal by initiating the Cognitive Connectome Project, which bridges neuropsychology and neuroimaging by pairing nine cognitive domains typically assessed by clinically validated neuropsychological measures with those tapped by canonical neuroimaging tasks (motor, visuospatial perception, attention, language, memory, affective processing, decision making, working memory, and executive function). To date, we have recruited a diverse sample of 53 participants (mean [SD], age = 32 [9.7] years, 31 females).
Results
As a proof of concept, we first demonstrate that our neuroimaging task battery can replicate previous findings that task performance recruits intrinsic brain networks identified during wakeful rest. We then expand upon these previous findings by showing that the extent to which these networks are recruited by task reflects individual differences in cognitive ability. Specifically, performance on the Judgment of Line Orientation task (a clinically validated measure of visuospatial perception) administered outside of the MRI scanner predicts the magnitude of task‐induced activity of the dorsal visual network when performing a direct replication of this task within the MRI scanner. Other networks (such as default mode and right frontoparietal) showed task‐induced changes in activity that were unrelated to task performance, suggesting these networks to not be involved in visuospatial perception.
Conclusion
These findings establish a methodological framework by which clinical neuropsychology and functional neuroimaging may mutually inform one another, thus enhancing the translation of functional neuroimaging into clinical decision making.
The authors introduce the Cognitive Connectome Project, a merging of clinical neuropsychology and functional neuroimaging with the goal of mapping normative variance in brain–behavior relationships. The authors replicate past findings that resting‐state brain networks are recruited by task, and also demonstrate that task‐dependent network recruitment may vary with task performance and cognitive ability. The Cognitive Connectome lays a methodological framework for translating functional MRI into clinical decision making.</description><identifier>ISSN: 2162-3279</identifier><identifier>EISSN: 2162-3279</identifier><identifier>DOI: 10.1002/brb3.243</identifier><identifier>PMID: 25328842</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Adult ; Age ; Biomarkers ; Brain - physiology ; Brain research ; Cognition ; Cognition & reasoning ; Cognition - physiology ; Cognitive ability ; Cognitive Connectome ; Decision making ; Demographics ; Education ; Ethnicity ; Female ; fMRI ; functional neuroimaging ; Hispanic Americans ; Humans ; individual differences ; Magnetic Resonance Imaging ; Male ; Medical imaging ; Middle Aged ; Nerve Net - physiology ; Neuropsychological Tests ; neuropsychology ; NMR ; Nuclear magnetic resonance ; Original Research ; Personality ; Rest - physiology ; Scanners ; Urinalysis ; Young Adult</subject><ispartof>Brain and behavior, 2014-09, Vol.4 (5), p.650-664</ispartof><rights>2014 The Authors. published by Wiley Periodicals, Inc.</rights><rights>2014. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 The Authors. published by Wiley Periodicals, Inc. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4383-cdd4f052cd6ac63281a303c559cb5e0a52261181d7e8bbd0290560ad709bcd9b3</citedby><cites>FETCH-LOGICAL-c4383-cdd4f052cd6ac63281a303c559cb5e0a52261181d7e8bbd0290560ad709bcd9b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2289812140/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2289812140?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,11562,25753,27924,27925,37012,37013,44590,46052,46476,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25328842$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gess, Jennifer L.</creatorcontrib><creatorcontrib>Fausett, Jennifer S.</creatorcontrib><creatorcontrib>Kearney‐Ramos, Tonisha E.</creatorcontrib><creatorcontrib>Kilts, Clinton D.</creatorcontrib><creatorcontrib>James, George Andrew</creatorcontrib><title>Task‐dependent recruitment of intrinsic brain networks reflects normative variance in cognition</title><title>Brain and behavior</title><addtitle>Brain Behav</addtitle><description>Background
Functional neuroimaging has great potential to inform clinical decisions, whether by identifying neural biomarkers of illness progression and severity, predicting therapeutic response, or selecting suitable patients for surgical interventions. Yet a persisting barrier to functional neuroimaging's clinical translation is our incomplete understanding of how normative variance in cognition, personality, and behavior shape the brain's structural and functional organization. We propose that modeling individual differences in these brain–behavior relationships is crucial for improving the accuracy of neuroimaging biomarkers for neurologic and psychiatric disorders.
Methods
We addressed this goal by initiating the Cognitive Connectome Project, which bridges neuropsychology and neuroimaging by pairing nine cognitive domains typically assessed by clinically validated neuropsychological measures with those tapped by canonical neuroimaging tasks (motor, visuospatial perception, attention, language, memory, affective processing, decision making, working memory, and executive function). To date, we have recruited a diverse sample of 53 participants (mean [SD], age = 32 [9.7] years, 31 females).
Results
As a proof of concept, we first demonstrate that our neuroimaging task battery can replicate previous findings that task performance recruits intrinsic brain networks identified during wakeful rest. We then expand upon these previous findings by showing that the extent to which these networks are recruited by task reflects individual differences in cognitive ability. Specifically, performance on the Judgment of Line Orientation task (a clinically validated measure of visuospatial perception) administered outside of the MRI scanner predicts the magnitude of task‐induced activity of the dorsal visual network when performing a direct replication of this task within the MRI scanner. Other networks (such as default mode and right frontoparietal) showed task‐induced changes in activity that were unrelated to task performance, suggesting these networks to not be involved in visuospatial perception.
Conclusion
These findings establish a methodological framework by which clinical neuropsychology and functional neuroimaging may mutually inform one another, thus enhancing the translation of functional neuroimaging into clinical decision making.
The authors introduce the Cognitive Connectome Project, a merging of clinical neuropsychology and functional neuroimaging with the goal of mapping normative variance in brain–behavior relationships. The authors replicate past findings that resting‐state brain networks are recruited by task, and also demonstrate that task‐dependent network recruitment may vary with task performance and cognitive ability. The Cognitive Connectome lays a methodological framework for translating functional MRI into clinical decision making.</description><subject>Adult</subject><subject>Age</subject><subject>Biomarkers</subject><subject>Brain - physiology</subject><subject>Brain research</subject><subject>Cognition</subject><subject>Cognition & reasoning</subject><subject>Cognition - physiology</subject><subject>Cognitive ability</subject><subject>Cognitive Connectome</subject><subject>Decision making</subject><subject>Demographics</subject><subject>Education</subject><subject>Ethnicity</subject><subject>Female</subject><subject>fMRI</subject><subject>functional neuroimaging</subject><subject>Hispanic Americans</subject><subject>Humans</subject><subject>individual differences</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Nerve Net - physiology</subject><subject>Neuropsychological Tests</subject><subject>neuropsychology</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Original Research</subject><subject>Personality</subject><subject>Rest - physiology</subject><subject>Scanners</subject><subject>Urinalysis</subject><subject>Young Adult</subject><issn>2162-3279</issn><issn>2162-3279</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><recordid>eNp1kctKxDAUhoMojqjgE0jBjZtqcpJ22o2ggzcQBNF1yG3GaJuMSTvD7HwEn9EnMYN3wWxyIF8-_uRHaIfgA4IxHMog6QEwuoI2gJSQUxjWqz_mAdqO8QGnVRAGDK-jARQUqorBBhK3Ij6-Pr9oMzVOG9dlwajQ265dzn6cWdcF66JVmQzCusyZbu7DY0zcuDGqi5nzoRWdnZlsJoIVTpl0KVN-4mxnvdtCa2PRRLP9sW-iu7PT29FFfnV9fjk6vsoVoxXNldZsjAtQuhSqTPGIoJiqoqiVLAwWBUBJSEX00FRSagw1Lkos9BDXUula0k109O6d9rI1WqX8QTR8GmwrwoJ7YfnvE2fv-cTPOCN4mBIkwf6HIPin3sSOtzYq0zTCGd9HTkrCyhpITRK69wd98H1w6XkcoKorAoThb6EKPsb0X19hCObL6viyOp6qS-juz_Bf4GdRCcjfgbltzOJfET-5OaFL4Rs14KT-</recordid><startdate>201409</startdate><enddate>201409</enddate><creator>Gess, Jennifer L.</creator><creator>Fausett, Jennifer S.</creator><creator>Kearney‐Ramos, Tonisha E.</creator><creator>Kilts, Clinton D.</creator><creator>James, George Andrew</creator><general>John Wiley & Sons, Inc</general><general>Blackwell Publishing Ltd</general><scope>24P</scope><scope>WIN</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201409</creationdate><title>Task‐dependent recruitment of intrinsic brain networks reflects normative variance in cognition</title><author>Gess, Jennifer L. ; Fausett, Jennifer S. ; Kearney‐Ramos, Tonisha E. ; Kilts, Clinton D. ; James, George Andrew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4383-cdd4f052cd6ac63281a303c559cb5e0a52261181d7e8bbd0290560ad709bcd9b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Age</topic><topic>Biomarkers</topic><topic>Brain - physiology</topic><topic>Brain research</topic><topic>Cognition</topic><topic>Cognition & reasoning</topic><topic>Cognition - physiology</topic><topic>Cognitive ability</topic><topic>Cognitive Connectome</topic><topic>Decision making</topic><topic>Demographics</topic><topic>Education</topic><topic>Ethnicity</topic><topic>Female</topic><topic>fMRI</topic><topic>functional neuroimaging</topic><topic>Hispanic Americans</topic><topic>Humans</topic><topic>individual differences</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Middle Aged</topic><topic>Nerve Net - physiology</topic><topic>Neuropsychological Tests</topic><topic>neuropsychology</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Original Research</topic><topic>Personality</topic><topic>Rest - physiology</topic><topic>Scanners</topic><topic>Urinalysis</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gess, Jennifer L.</creatorcontrib><creatorcontrib>Fausett, Jennifer S.</creatorcontrib><creatorcontrib>Kearney‐Ramos, Tonisha E.</creatorcontrib><creatorcontrib>Kilts, Clinton D.</creatorcontrib><creatorcontrib>James, George Andrew</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley-Blackwell Open Access Backfiles (Open Access)</collection><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>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest Psychology Database</collection><collection>ProQuest Research Library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Brain and behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gess, Jennifer L.</au><au>Fausett, Jennifer S.</au><au>Kearney‐Ramos, Tonisha E.</au><au>Kilts, Clinton D.</au><au>James, George Andrew</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Task‐dependent recruitment of intrinsic brain networks reflects normative variance in cognition</atitle><jtitle>Brain and behavior</jtitle><addtitle>Brain Behav</addtitle><date>2014-09</date><risdate>2014</risdate><volume>4</volume><issue>5</issue><spage>650</spage><epage>664</epage><pages>650-664</pages><issn>2162-3279</issn><eissn>2162-3279</eissn><abstract>Background
Functional neuroimaging has great potential to inform clinical decisions, whether by identifying neural biomarkers of illness progression and severity, predicting therapeutic response, or selecting suitable patients for surgical interventions. Yet a persisting barrier to functional neuroimaging's clinical translation is our incomplete understanding of how normative variance in cognition, personality, and behavior shape the brain's structural and functional organization. We propose that modeling individual differences in these brain–behavior relationships is crucial for improving the accuracy of neuroimaging biomarkers for neurologic and psychiatric disorders.
Methods
We addressed this goal by initiating the Cognitive Connectome Project, which bridges neuropsychology and neuroimaging by pairing nine cognitive domains typically assessed by clinically validated neuropsychological measures with those tapped by canonical neuroimaging tasks (motor, visuospatial perception, attention, language, memory, affective processing, decision making, working memory, and executive function). To date, we have recruited a diverse sample of 53 participants (mean [SD], age = 32 [9.7] years, 31 females).
Results
As a proof of concept, we first demonstrate that our neuroimaging task battery can replicate previous findings that task performance recruits intrinsic brain networks identified during wakeful rest. We then expand upon these previous findings by showing that the extent to which these networks are recruited by task reflects individual differences in cognitive ability. Specifically, performance on the Judgment of Line Orientation task (a clinically validated measure of visuospatial perception) administered outside of the MRI scanner predicts the magnitude of task‐induced activity of the dorsal visual network when performing a direct replication of this task within the MRI scanner. Other networks (such as default mode and right frontoparietal) showed task‐induced changes in activity that were unrelated to task performance, suggesting these networks to not be involved in visuospatial perception.
Conclusion
These findings establish a methodological framework by which clinical neuropsychology and functional neuroimaging may mutually inform one another, thus enhancing the translation of functional neuroimaging into clinical decision making.
The authors introduce the Cognitive Connectome Project, a merging of clinical neuropsychology and functional neuroimaging with the goal of mapping normative variance in brain–behavior relationships. The authors replicate past findings that resting‐state brain networks are recruited by task, and also demonstrate that task‐dependent network recruitment may vary with task performance and cognitive ability. The Cognitive Connectome lays a methodological framework for translating functional MRI into clinical decision making.</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>25328842</pmid><doi>10.1002/brb3.243</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Biomarkers Brain - physiology Brain research Cognition Cognition & reasoning Cognition - physiology Cognitive ability Cognitive Connectome Decision making Demographics Education Ethnicity Female fMRI functional neuroimaging Hispanic Americans Humans individual differences Magnetic Resonance Imaging Male Medical imaging Middle Aged Nerve Net - physiology Neuropsychological Tests neuropsychology NMR Nuclear magnetic resonance Original Research Personality Rest - physiology Scanners Urinalysis Young Adult |
title | Task‐dependent recruitment of intrinsic brain networks reflects normative variance in cognition |
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