Literature DB >> 34291338

Probing the Functional and Structural Connectivity Underlying EEG Traveling Waves.

Yun Qin1,2, Nan Zhang1, Yan Chen1, Yue Tan1, Zhenglin Yang3, Yi Shi3, Cheng Luo1,4, Tiejun Liu1,4,2, Dezhong Yao5,6,7.   

Abstract

Neural oscillations play an important role in the maintenance of brain function by regulating multi-scale neural activity. Characterizing the traveling properties of EEG is helpful for understanding the spatiotemporal dynamics of neural oscillations. However, traveling EEG based on non-invasive approach has little been investigated, and the relationship with brain intrinsic connectivity is not well known. In this study, traveling EEG of different frequency bands on the scalp in terms of the center of mass (EEG-CM) was examined. Then, two quantitative indexes describing the spatiotemporal features of EEG-CM were proposed, i.e., the traveling lateralization and velocity of EEG-CM. Further, based on simultaneous EEG-MRI approach, the relationship between traveling EEG-CM and the resting-state functional networks, as well as the microstructural connectivity of white matter was investigated. The results showed that there was similar spatial distribution of EEG-CM under different frequency bands, while the velocity of rhythmic EEG-CM increased in higher frequency bands. The lateralization of EEG-CM in low frequency bands (< 30 Hz) demonstrated negative relationship with the basal ganglia network (BGN). In addition, the velocity of the traveling EEG-CM was associated with the fractional anisotropy (FA) in corpus callosum and corona radiate. These results provided valid quantitative EEG index for understanding the spatiotemporal characteristics of the scalp EEG, and implied that the EEG dynamics were representations of functional and structural organization of cortical and subcortical structures.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Center of mass; Quantitative EEG; Simultaneous EEG-MRI; Spatiotemporal dynamics; Traveling EEG

Mesh:

Year:  2021        PMID: 34291338     DOI: 10.1007/s10548-021-00862-0

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  56 in total

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4.  Propagating neocortical gamma bursts are coordinated by traveling alpha waves.

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Journal:  J Neurosci       Date:  2013-11-27       Impact factor: 6.167

5.  Phase-Amplitude Coupling and Long-Range Phase Synchronization Reveal Frontotemporal Interactions during Visual Working Memory.

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Journal:  J Neurosci       Date:  2017-01-11       Impact factor: 6.167

6.  Salience network integrity predicts default mode network function after traumatic brain injury.

Authors:  Valerie Bonnelle; Timothy E Ham; Robert Leech; Kirsi M Kinnunen; Mitul A Mehta; Richard J Greenwood; David J Sharp
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-05       Impact factor: 11.205

7.  Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

Authors:  B Biswal; F Z Yetkin; V M Haughton; J S Hyde
Journal:  Magn Reson Med       Date:  1995-10       Impact factor: 4.668

8.  fMRI resting state networks define distinct modes of long-distance interactions in the human brain.

Authors:  M De Luca; C F Beckmann; N De Stefano; P M Matthews; S M Smith
Journal:  Neuroimage       Date:  2005-11-02       Impact factor: 6.556

9.  Modular Organization of Functional Network Connectivity in Healthy Controls and Patients with Schizophrenia during the Resting State.

Authors:  Qingbao Yu; Sergey M Plis; Erik B Erhardt; Elena A Allen; Jing Sui; Kent A Kiehl; Godfrey Pearlson; Vince D Calhoun
Journal:  Front Syst Neurosci       Date:  2012-01-10

10.  Spatially distributed local fields in the hippocampus encode rat position.

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  1 in total

1.  A Roadmap for Computational Modelling of M/EEG.

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  1 in total

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