Literature DB >> 22315406

Individual variability in functional connectivity predicts performance of a perceptual task.

Antonello Baldassarre1, Christopher M Lewis, Giorgia Committeri, Abraham Z Snyder, Gian Luca Romani, Maurizio Corbetta.   

Abstract

People differ in their ability to perform novel perceptual tasks, both during initial exposure and in the rate of improvement with practice. It is also known that regions of the brain recruited by particular tasks change their activity during learning. Here we investigate neural signals predictive of individual variability in performance. We used resting-state functional MRI to assess functional connectivity before training on a novel visual discrimination task. Subsequent task performance was related to functional connectivity measures within portions of visual cortex and between visual cortex and prefrontal association areas. Our results indicate that individual differences in performing novel perceptual tasks can be related to individual differences in spontaneous cortical activity.

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Year:  2012        PMID: 22315406      PMCID: PMC3295318          DOI: 10.1073/pnas.1113148109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  52 in total

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4.  A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex.

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Review 5.  A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.

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6.  Learning to see the difference specifically alters the most informative V4 neurons.

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7.  Coherent spontaneous activity identifies a hippocampal-parietal memory network.

Authors:  Justin L Vincent; Abraham Z Snyder; Michael D Fox; Benjamin J Shannon; Jessica R Andrews; Marcus E Raichle; Randy L Buckner
Journal:  J Neurophysiol       Date:  2006-08-09       Impact factor: 2.714

8.  Asymmetry of anticipatory activity in visual cortex predicts the locus of attention and perception.

Authors:  Chad M Sylvester; Gordon L Shulman; Anthony I Jack; Maurizio Corbetta
Journal:  J Neurosci       Date:  2007-12-26       Impact factor: 6.167

9.  Electrophysiological correlates of the brain's intrinsic large-scale functional architecture.

Authors:  Biyu J He; Abraham Z Snyder; John M Zempel; Matthew D Smyth; Marcus E Raichle
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-08       Impact factor: 11.205

10.  Interindividual variation in human visual performance.

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  102 in total

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3.  Spontaneous neural activity predicts individual differences in performance.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-16       Impact factor: 11.205

4.  A Dynamic Core Network and Global Efficiency in the Resting Human Brain.

Authors:  F de Pasquale; S Della Penna; O Sporns; G L Romani; M Corbetta
Journal:  Cereb Cortex       Date:  2015-09-06       Impact factor: 5.357

5.  Stimulus-induced visual cortical networks are recapitulated by spontaneous local and interareal synchronization.

Authors:  Christopher M Lewis; Conrado A Bosman; Thilo Womelsdorf; Pascal Fries
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-19       Impact factor: 11.205

6.  Brain network modularity predicts cognitive training-related gains in young adults.

Authors:  Pauline L Baniqued; Courtney L Gallen; Michael B Kranz; Arthur F Kramer; Mark D'Esposito
Journal:  Neuropsychologia       Date:  2019-05-25       Impact factor: 3.139

7.  Greater preference consistency during the Willingness-to-Pay task is related to higher resting state connectivity between the ventromedial prefrontal cortex and the ventral striatum.

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Journal:  Brain Imaging Behav       Date:  2016-09       Impact factor: 3.978

8.  It's all connected: Pathways in visual object recognition and early noun learning.

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Journal:  Am Psychol       Date:  2013-11

Review 9.  Functional Neurocircuits and Neuroimaging Biomarkers of Tobacco Use Disorder.

Authors:  Matthew T Sutherland; Elliot A Stein
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10.  Intrinsic architecture underlying the relations among the default, dorsal attention, and frontoparietal control networks of the human brain.

Authors:  R Nathan Spreng; Jorge Sepulcre; Gary R Turner; W Dale Stevens; Daniel L Schacter
Journal:  J Cogn Neurosci       Date:  2012-08-20       Impact factor: 3.225

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