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Interictal epileptiform discharges changed epilepsy-related brain network architecture in BECTS

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A Correction to this article was published on 20 October 2022

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Abstract

To investigate directed information flow of epileptiform activity in benign epilepsy with centrotemporal spikes (BECTS) during ictal epileptiform discharges (IEDs) and non-IEDs periods. In this multi-center study, a total of 188 subjects, including 50 BECTS and 138 normal children’s controls (NCs) from three different centers (Center 1: females/males, 38/55; mean age, 9.33 ± 2.6 years; Center 2: females/males,7/10; mean age, 8.59 ± 2.32 years; Center 3: females/males, 14/14; mean age, 13 ± 3.42 years) were recruited. The BECTS were classified into IEDs (females/males, 12/15; mean age, 8.15 ± 1.68 years) and non-IEDs (females/males, 10/13; mean age, 9.09 ± 1.98 years) subgroups depending on presence of central-temporal spikes from an EEG-fMRI examination. Three new methods, structural equation parametric modeling, dynamic causal modeling and granger causality density (GCD) were used to determine optimal network architectures for BECTS. Three multicentric NCs determined a reliable and consistent network architecture by structural equation parametric modeling method. Further analyses were used for IEDs and non-IEDs to determine the brain network architecture by structural equation parametric modeling, dynamic causal modeling and GCD, respectively. The brain network architecture of IEDs substate, non-IEDs substate and NCs are different. IEDs promoted the driving effect of the Rolandic areas with more output information flows, and increased the targeted effect of the top of pre-/post-central gyrus with more input information flows. The information flow arises from the Rolandic areas, and subsequently propagates to the top of pre-/post-central gyrus and thalamus. From non-IEDs status to IEDs status, the thalamus load may play an important role in the modulation and regulation of epileptiform activity. These findings shed new light on pathophysiological mechanism of directed localization of epileptiform activity in BECTS.

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Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

This work was supported by China Postdoctoral Science Foundation (Grant No, 2020M670052), Guangdong Basic and Applied Basic Research Foundation (Grant No, 2020A1515011469) and Sanming Project of Medicine in Shenzhen (Grant No, SZSM201812052).

Funding

The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had final responsibility for the decision to submit for publication.

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Authors and Affiliations

  1. School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen, 518020, China

    Xi-jian Dai

  2. Shenzhen Kangning Hospital, Shenzhen Mental Health Centre, 1080#, Cuizhu Rd, Luohu District, Shenzhen, 518003, China

    Xi-jian Dai & Yongjun Wang

  3. Department of Radiology, Affiliated Hospital of Zunyi Medical University, Zunyi, China

    Yang Yang

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  1. Xi-jian Dai
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XJ-D conceived and designed the whole experiment. XJ-D, YY collected the data. XJ-D, YY and YW take responsibility for review and editing, integrity of the data, the accuracy of the data analysis, and the statistical data analysis. XJ-D wrote the main manuscript text and under took the critical interpretation of the data. All authors contributed to the final version of the paper and have read, as well as approved the final manuscript.

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Correspondence to Xi-jian Dai or Yongjun Wang.

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Dai, Xj., Yang, Y. & Wang, Y. Interictal epileptiform discharges changed epilepsy-related brain network architecture in BECTS. Brain Imaging and Behavior 16, 909–920 (2022). https://doi.org/10.1007/s11682-021-00566-w

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