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Frequency-specific mechanism links human brain networks for spatial attention
Author(s) -
Amy L. Daitch,
Mohit Sharma,
Jarod L. Roland,
Serguei V. Astafiev,
David T. Bundy,
Charles M. Gaona,
Abraham Z. Snyder,
Gordon L. Shulman,
Eric C. Leuthardt,
Maurizio Corbetta
Publication year - 2013
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1307947110
Subject(s) - neuroscience , mechanism (biology) , task (project management) , computer science , electrocorticography , network dynamics , electroencephalography , task positive network , functional connectivity , focus (optics) , nerve net , human brain , attention network , artificial intelligence , default mode network , psychology , physics , mathematics , management , optics , quantum mechanics , economics , discrete mathematics
Selective attention allows us to filter out irrelevant information in the environment and focus neural resources on information relevant to our current goals. Functional brain-imaging studies have identified networks of broadly distributed brain regions that are recruited during different attention processes; however, the dynamics by which these networks enable selection are not well understood. Here, we first used functional MRI to localize dorsal and ventral attention networks in human epileptic subjects undergoing seizure monitoring. We subsequently recorded cortical physiology using subdural electrocorticography during a spatial-attention task to study network dynamics. Attention networks become selectively phase-modulated at low frequencies (δ, θ) during the same task epochs in which they are recruited in functional MRI. This mechanism may alter the excitability of task-relevant regions or their effective connectivity. Furthermore, different attention processes (holding vs. shifting attention) are associated with synchrony at different frequencies, which may minimize unnecessary cross-talk between separate neuronal processes.

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