Literature DB >> 32484218

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

Santeri Rouhinen1,2, Felix Siebenhühner1, J Matias Palva1,3,4, Satu Palva1,3.   

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.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  EEG; MEG; attention; capacity; oscillation; synchronization

Mesh:

Year:  2020        PMID: 32484218     DOI: 10.1093/cercor/bhaa110

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  4 in total

1.  A systematic data-driven approach to analyze sensor-level EEG connectivity: Identifying robust phase-synchronized network components using surface Laplacian with spectral-spatial PCA.

Authors:  Ezra E Smith; Tarik S Bel-Bahar; Jürgen Kayser
Journal:  Psychophysiology       Date:  2022-04-27       Impact factor: 4.348

2.  Gamma band functional connectivity reduction in patients with amnestic mild cognitive impairment and epileptiform activity.

Authors:  Pablo Cuesta; Manuela Ochoa-Urrea; Michael Funke; Omar Hasan; Ping Zhu; Alberto Marcos; Maria Eugenia López; Paul E Schulz; Samden Lhatoo; Dimitrios Pantazis; John C Mosher; Fernando Maestu
Journal:  Brain Commun       Date:  2022-02-03

3.  Brain rhythms define distinct interaction networks with differential dependence on anatomy.

Authors:  Julien Vezoli; Martin Vinck; Conrado Arturo Bosman; André Moraes Bastos; Christopher Murphy Lewis; Henry Kennedy; Pascal Fries
Journal:  Neuron       Date:  2021-10-20       Impact factor: 17.173

4.  Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations.

Authors:  Jaana Simola; Felix Siebenhühner; Vladislav Myrov; Katri Kantojärvi; Tiina Paunio; J Matias Palva; Elvira Brattico; Satu Palva
Journal:  iScience       Date:  2022-08-18
  4 in total

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