Spectral and Anatomical Patterns of Large-Scale Synchronization Predict Human Attentional Capacity

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dc.contributor.author Rouhinen, Santeri
dc.contributor.author Siebenhühner, Felix
dc.contributor.author Palva, J. Matias
dc.contributor.author Palva, Satu
dc.date.accessioned 2021-06-01T22:28:58Z
dc.date.available 2021-12-18T03:45:39Z
dc.date.issued 2020-09-03
dc.identifier.citation Rouhinen , S , Siebenhühner , F , Palva , J M & Palva , S 2020 , ' Spectral and Anatomical Patterns of Large-Scale Synchronization Predict Human Attentional Capacity ' , Cerebral Cortex , vol. 30 , no. 10 , pp. 5293-5308 . https://doi.org/10.1093/cercor/bhaa110
dc.identifier.other PURE: 138996327
dc.identifier.other PURE UUID: 497b0e4c-7dd7-401a-b704-e6b3f675b9ac
dc.identifier.other WOS: 000580998000009
dc.identifier.other ORCID: /0000-0001-9496-7391/work/83433873
dc.identifier.other ORCID: /0000-0002-3125-5167/work/83435029
dc.identifier.other ORCID: /0000-0002-2621-9145/work/83435818
dc.identifier.uri http://hdl.handle.net/10138/330500
dc.description.abstract The capacity of visual attention determines how many visual objects may be perceived at any moment. This capacity can be investigated with multiple object tracking (MOT) tasks, which have shown that it varies greatly between individuals. The neuronal mechanisms underlying capacity limits have remained poorly understood. Phase synchronization of cortical oscillations coordinates neuronal communication within the fronto-parietal attention network and between the visual regions during endogenous visual attention. We tested a hypothesis that attentional capacity is predicted by the strength of pretarget synchronization within attention-related cortical regions. We recorded cortical activity with magneto- and electroencephalography (M/EEG) while measuring attentional capacity with MOT tasks and identified large-scale synchronized networks from source-reconstructed M/EEG data. Individual attentional capacity was correlated with load-dependent strengthening of theta (3-8 Hz), alpha (8-10 Hz), and gamma-band (30-120 Hz) synchronization that connected the visual cortex with posterior parietal and prefrontal cortices. Individual memory capacity was also preceded by crossfrequency phase-phase and phase-amplitude coupling of alpha oscillation phase with beta and gamma oscillations. Our results show that good attentional capacity is preceded by efficient dynamic functional coupling and decoupling within brain regions and across frequencies, which may enable efficient communication and routing of information between sensory and attentional systems. en
dc.format.extent 16
dc.language.iso eng
dc.relation.ispartof Cerebral Cortex
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 3112 Neurosciences
dc.subject attention
dc.subject capacity
dc.subject EEG
dc.subject MEG
dc.subject oscillation
dc.subject synchronization
dc.subject VISUAL WORKING-MEMORY
dc.subject SHORT-TERM-MEMORY
dc.subject NEURONAL OSCILLATIONS
dc.subject INDIVIDUAL-DIFFERENCES
dc.subject PHASE-SYNCHRONIZATION
dc.subject NEURAL MECHANISMS
dc.subject BRAIN NETWORKS
dc.subject TRACKING
dc.subject ALPHA
dc.subject PARIETAL
dc.title Spectral and Anatomical Patterns of Large-Scale Synchronization Predict Human Attentional Capacity en
dc.type Article
dc.contributor.organization Neuroscience Center
dc.contributor.organization BioMag Laboratory
dc.contributor.organization Helsinki Institute of Life Science HiLIFE
dc.contributor.organization University of Helsinki
dc.contributor.organization HUS Medical Imaging Center
dc.contributor.organization Department of Diagnostics and Therapeutics
dc.contributor.organization Matias Palva / Principal Investigator
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1093/cercor/bhaa110
dc.relation.issn 1047-3211
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion

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