Literature DB >> 20844116

Brain noise is task dependent and region specific.

Bratislav Misić1, Travis Mills, Margot J Taylor, Anthony R McIntosh.   

Abstract

The emerging organization of anatomical and functional connections during human brain development is thought to facilitate global integration of information. Recent empirical and computational studies have shown that this enhanced capacity for information processing enables a diversified dynamic repertoire that manifests in neural activity as irregularity and noise. However, transient functional networks unfold over multiple time, scales and the embedding of a particular region depends not only on development, but also on the manner in which sensory and cognitive systems are engaged. Here we show that noise is a facet of neural activity that is also sensitive to the task context and is highly region specific. Children (6-16 yr) and adults (20-41 yr) performed a one-back face recognition task with inverted and upright faces. Neuromagnetic activity was estimated at several hundred sources in the brain by applying a beamforming technique to the magnetoencephalogram (MEG). During development, neural activity became more variable across the whole brain, with most robust increases in medial parietal regions, such as the precuneus and posterior cingulate cortex. For young children and adults, activity evoked by upright faces was more variable and noisy compared with inverted faces, and this effect was reliable only in the right fusiform gyrus. These results are consistent with the notion that upright faces engender a variety of integrative neural computations, such as the relations among facial features and their holistic constitution. This study shows that transient changes in functional integration modulated by task demand are evident in the variability of regional neural activity.

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Year:  2010        PMID: 20844116     DOI: 10.1152/jn.00648.2010

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  53 in total

1.  The modulation of BOLD variability between cognitive states varies by age and processing speed.

Authors:  Douglas D Garrett; Natasa Kovacevic; Anthony R McIntosh; Cheryl L Grady
Journal:  Cereb Cortex       Date:  2012-03-14       Impact factor: 5.357

2.  Altered resting state complexity in schizophrenia.

Authors:  Danielle S Bassett; Brent G Nelson; Bryon A Mueller; Jazmin Camchong; Kelvin O Lim
Journal:  Neuroimage       Date:  2011-10-08       Impact factor: 6.556

Review 3.  Understanding variability in the BOLD signal and why it matters for aging.

Authors:  Cheryl L Grady; Douglas D Garrett
Journal:  Brain Imaging Behav       Date:  2014-06       Impact factor: 3.978

4.  Personalized Intrinsic Network Topography Mapping and Functional Connectivity Deficits in Autism Spectrum Disorder.

Authors:  Erin W Dickie; Stephanie H Ameis; Saba Shahab; Navona Calarco; Dawn E Smith; Dayton Miranda; Joseph D Viviano; Aristotle N Voineskos
Journal:  Biol Psychiatry       Date:  2018-03-17       Impact factor: 13.382

5.  Moment-to-moment signal variability in the human brain can inform models of stochastic facilitation now.

Authors:  Douglas D Garrett; Anthony R McIntosh; Cheryl L Grady
Journal:  Nat Rev Neurosci       Date:  2011-09-07       Impact factor: 34.870

Review 6.  Dynamic models of large-scale brain activity.

Authors:  Michael Breakspear
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

7.  Individual Cortical Entropy Profile: Test-Retest Reliability, Predictive Power for Cognitive Ability, and Neuroanatomical Foundation.

Authors:  Mianxin Liu; Xinyang Liu; Andrea Hildebrandt; Changsong Zhou
Journal:  Cereb Cortex Commun       Date:  2020-05-07

Review 8.  Moment-to-moment brain signal variability: a next frontier in human brain mapping?

Authors:  Douglas D Garrett; Gregory R Samanez-Larkin; Stuart W S MacDonald; Ulman Lindenberger; Anthony R McIntosh; Cheryl L Grady
Journal:  Neurosci Biobehav Rev       Date:  2013-03-01       Impact factor: 8.989

9.  Negative childhood experiences alter a prefrontal-insular-motor cortical network in healthy adults: A preliminary multimodal rsfMRI-fMRI-MRS-dMRI study.

Authors:  Niall W Duncan; Dave J Hayes; Christine Wiebking; Brice Tiret; Karin Pietruska; David Q Chen; Pierre Rainville; Małgorzata Marjańska; Omar Ayad; Julien Doyon; Mojgan Hodaie; Georg Northoff
Journal:  Hum Brain Mapp       Date:  2015-08-19       Impact factor: 5.038

10.  Boosts in brain signal variability track liberal shifts in decision bias.

Authors:  Niels A Kloosterman; Julian Q Kosciessa; Ulman Lindenberger; Johannes Jacobus Fahrenfort; Douglas D Garrett
Journal:  Elife       Date:  2020-08-03       Impact factor: 8.140

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