title: Task-dependent recruitment of intrinsic brain networks reflects normative variance in cognition.
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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Psychiatric Research Institute, University of Arkansas for Medical Sciences Little Rock, Arkansas, 72205-7199.
authors.forename: Jennifer L
authors.initials: JL
authors.lastname: Gess
authors.affiliation: Psychiatric Research Institute, University of Arkansas for Medical Sciences Little Rock, Arkansas, 72205-7199.
authors.forename: Jennifer S
authors.initials: JS
authors.lastname: Fausett
authors.affiliation: Psychiatric Research Institute, University of Arkansas for Medical Sciences Little Rock, Arkansas, 72205-7199.
authors.forename: Tonisha E
authors.initials: TE
authors.lastname: Kearney-Ramos
authors.affiliation: Psychiatric Research Institute, University of Arkansas for Medical Sciences Little Rock, Arkansas, 72205-7199.
authors.forename: Clinton D
authors.initials: CD
authors.lastname: Kilts
authors.affiliation: Psychiatric Research Institute, University of Arkansas for Medical Sciences Little Rock, Arkansas, 72205-7199.
authors.forename: George Andrew
authors.initials: GA
authors.lastname: James
mesh_terms: D000328:Adult; D001921:Brain / Q000502:physiology*; D003071:Cognition / Q000502:physiology*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D009415:Nerve Net / Q000502:physiology*; D009483:Neuropsychological Tests; D012146:Rest / Q000502:physiology; D055815:Young Adult
keywords: Cognition; Cognitive Connectome; fMRI; functional neuroimaging; individual differences; neuropsychology