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Author Notes:

Lili Long, longlili1982@126.com; Jing Sui, jing.sui@nlpr.ia.ac.cn

These authors have contributed equally to this work: Dongmei Zhi and Wenyue Wu

JS and DZ designed the study. DZ and WW conducted the data analysis. DZ, WW, SQ, RJ, XY, JY, LL, VC, and JS wrote the manuscript. WW, BX, WX, CL, HL, and LL collected the data. All authors contributed to the article and approved the submitted version.

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Research Funding:

This work was partially supported by the National Natural Science Foundation (Nos. 61773380 and 81671300), the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB32040100), the Beijing Municipal Science and Technology Commission (No. Z181100001518005), the Key Research Project of the Chinese Ministry of Science and Technology (No. 2016YFC0904400), the Clinical Research Foundation of Xiangya Hospital (No. 2016L08), and the National Institute of Health Grant (Nos. 1R01MH117107 and P20GM103472).

Keywords:

  • temporal lobe epilepsy
  • multimodal fusion
  • methylation levels of NR4A1
  • functional connectivity
  • fractional anisotropy
  • gray matter volume

NR4A1 Methylation Associated Multimodal Neuroimaging Patterns Impaired in Temporal Lobe Epilepsy

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Journal Title:

Frontiers in Neuroscience

Volume:

Volume 14

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Article | Final Publisher PDF

Abstract:

DNA hypermethylation has been widely observed in temporal lobe epilepsy (TLE), in which NR4A1 knockdown has been reported to be able to alleviate seizure severity in mouse model, while the underlying methylation-imaging pathway modulated by aberrant methylation levels of NR4A1 remains to be clarified in patients with TLE. Here, using multi-site canonical correlation analysis with reference, methylation levels of NR4A1 in blood were used as priori to guide fusion of three MRI features: functional connectivity (FC), fractional anisotropy (FA), and gray matter volume (GMV) for 56 TLE patients and 65 healthy controls. Post-hoc correlations were further evaluated between the identified NR4A1-associated brain components and disease onset. Results suggested that higher NR4A1 methylation levels in TLE were related with impaired temporal-cerebellar and occipital-cerebellar FC strength, lower FA in cingulum (hippocampus), and reduced GMV in putamen, temporal pole, and cerebellum. Moreover, findings were also replicated well in both patient subsets with either right TLE or left TLE only. Particularly, right TLE patients showed poorer cognitive abilities and more severe brain impairment than left TLE patients, especially more reduced GMV in thalamus. In summary, this work revealed a potential imaging-methylation pathway modulated by higher NR4A1 methylation in TLE via data mining, which may impact the above-mentioned multimodal brain circuits and was also associated with earlier disease onset and more cognitive deficits.

Copyright information:

© 2020 Zhi, Wu, Xiao, Qi, Jiang, Yang, Yang, Xiao, Liu, Long, Calhoun, Long and Sui.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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