Dimitriadis, Stavros ORCID: https://orcid.org/0000-0002-0000-5392, Simos, Panagiotis G., Fletcher, Jack M and Papanicolaou, Andrew C. 2018. Aberrant resting-state functional brain networks in dyslexia: Symbolic mutual information analysis of neuromagnetic signals. International Journal of Psychophysiology 126 , pp. 20-29. 10.1016/j.ijpsycho.2018.02.008 |
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Abstract
Neuroimaging studies have identified a variety of structural and functional connectivity abnormalities in students experiencing reading difficulties. The present study adopted a novel approach to assess the dynamics of resting-state neuromagnetic recordings in the form of symbolic sequences (i.e., repeated patterns of neuromagnetic fluctuations within and/or between sensors). Participants were 25 students experiencing severe reading difficulties (RD) and 27 agematched non-impaired readers (NI) aged 7-14 years. Sensor-level data were first represented as symbolic sequences in eight conventional frequency bands. Next, dominant types of sensorto- sensor interactions in the form of intra and cross-frequency coupling were computed and subjected to graph modeling to assess group differences in global network characteristics. As a group RD students displayed predominantly within-frequency interactions between neighboring sensors which may reflect reduced overall global network efficiency and cost-efficiency of information transfer. In contrast, sensor networks among NI students featured a higher proportion of cross-frequency interactions. Brain-reading achievement associations highlighted the role of left hemisphere temporo-parietal functional networks, at rest, for reading acquisition and ability.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) Cardiff University Brain Research Imaging Centre (CUBRIC) Medicine Psychology |
Publisher: | Elsevier |
ISSN: | 0167-8760 |
Date of First Compliant Deposit: | 20 February 2018 |
Date of Acceptance: | 20 February 2018 |
Last Modified: | 07 Nov 2023 05:20 |
URI: | https://orca.cardiff.ac.uk/id/eprint/109289 |
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