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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 neuro...

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Autores principales: Gess, Jennifer L, Fausett, Jennifer S, Kearney-Ramos, Tonisha E, Kilts, Clinton D, James, George Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4107383/
https://www.ncbi.nlm.nih.gov/pubmed/25328842
http://dx.doi.org/10.1002/brb3.243
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author Gess, Jennifer L
Fausett, Jennifer S
Kearney-Ramos, Tonisha E
Kilts, Clinton D
James, George Andrew
author_facet Gess, Jennifer L
Fausett, Jennifer S
Kearney-Ramos, Tonisha E
Kilts, Clinton D
James, George Andrew
author_sort Gess, Jennifer L
collection PubMed
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.
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spelling pubmed-41073832014-07-23 Task-dependent recruitment of intrinsic brain networks reflects normative variance in cognition Gess, Jennifer L Fausett, Jennifer S Kearney-Ramos, Tonisha E Kilts, Clinton D James, George Andrew Brain Behav Original Research 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. Blackwell Publishing Ltd 2014-09 2014-07-09 /pmc/articles/PMC4107383/ /pubmed/25328842 http://dx.doi.org/10.1002/brb3.243 Text en © 2014 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Gess, Jennifer L
Fausett, Jennifer S
Kearney-Ramos, Tonisha E
Kilts, Clinton D
James, George Andrew
Task-dependent recruitment of intrinsic brain networks reflects normative variance in cognition
title Task-dependent recruitment of intrinsic brain networks reflects normative variance in cognition
title_full Task-dependent recruitment of intrinsic brain networks reflects normative variance in cognition
title_fullStr Task-dependent recruitment of intrinsic brain networks reflects normative variance in cognition
title_full_unstemmed Task-dependent recruitment of intrinsic brain networks reflects normative variance in cognition
title_short Task-dependent recruitment of intrinsic brain networks reflects normative variance in cognition
title_sort task-dependent recruitment of intrinsic brain networks reflects normative variance in cognition
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4107383/
https://www.ncbi.nlm.nih.gov/pubmed/25328842
http://dx.doi.org/10.1002/brb3.243
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