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Neuronal dynamics enable the functional differentiation of resting state networks in the human brain

Marino, Marcos and Liu, Quanying and Samogin, Jessica and Tecchio, Franca and Cottone, Carlo and Mantini, Dante and Porcaro, Camillo (2019) Neuronal dynamics enable the functional differentiation of resting state networks in the human brain. Human Brain Mapping, 40 (5). pp. 1445-1457. ISSN 1065-9471. http://resolver.caltech.edu/CaltechAUTHORS:20181119-093339238

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Abstract

Intrinsic brain activity is organized in spatial–temporal patterns, called resting‐state networks (RSNs), exhibiting specific structural–functional architecture. These networks presumably reflect complex neurophysiological processes and have a central role in distinct perceptual and cognitive functions. In this work, we propose an innovative approach for characterizing RSNs according to their underlying neural oscillations. We investigated specific electrophysiological properties, including spectral features, fractal dimension, and entropy, associated with eight core RSNs derived from high‐density electroencephalography (EEG) source‐reconstructed signals. Specifically, we found higher synchronization of the gamma‐band activity and higher fractal dimension values in perceptual (PNs) compared with higher cognitive (HCNs) networks. The inspection of this underlying rapid activity becomes of utmost importance for assessing possible alterations related to specific brain disorders. The disruption of the coordinated activity of RSNs may result in altered behavioral and perceptual states. Thus, this approach could potentially be used for the early detection and treatment of neurological disorders.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1002/hbm.24458DOIArticle
ORCID:
AuthorORCID
Liu, Quanying0000-0002-2501-7656
Mantini, Dante0000-0001-6485-5559
Porcaro, Camillo0000-0003-4847-163X
Additional Information:© 2018 Wiley Periodicals, Inc. Version of Record online: 15 November 2018; Manuscript accepted: 22 October 2018; Manuscript received: 22 August 2018. The work was partly supported by the Research Foundation Flanders (FWO) (G0F76.16N, G0936.16N and EOS.30446199), KU Leuven Special Research Fund (Grant C16/15/070 and Senior Fellowship SF/16/011 to CP). QL was supported by FWO fellowship and Boswell fellowship. The authors declare that they have no conflicts of interest.
Funders:
Funding AgencyGrant Number
Fonds Wetenschappelijk Onderzoek (FWO)G0F76.16N
Fonds Wetenschappelijk Onderzoek (FWO)G0936.16N
Fonds Wetenschappelijk Onderzoek (FWO)EOS.30446199
Katholieke Universiteit LeuvenC16/15/070
Katholieke Universiteit LeuvenSF/16/011
James G. Boswell FoundationUNSPECIFIED
Subject Keywords:electroencephalography; fractal dimension; neuronal oscillations; resting state networks
Record Number:CaltechAUTHORS:20181119-093339238
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20181119-093339238
Official Citation:Marino M, Liu Q, Samogin J, et al. Neuronal dynamics enable the functional differentiation of resting state networks in the human brain. Hum Brain Mapp. 2019;40:1445–1457. https://doi.org/10.1002/hbm.24458
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:91005
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:19 Nov 2018 17:43
Last Modified:01 Mar 2019 22:41

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