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Advances of brain network and endophenotypes in fMRI in juvenile myoclonic epilepsy
ZHANG Xin  REN Jiechuan  BAO Junxiang 

Cite this article as: Zhang X, Ren JC, Bao JX. Advances of brain network and endophenotypes in fMRI in juvenile myoclonic epilepsy[J]. Chin J Magn Reson Imaging, 2022, 13(7): 143-146, 155. DOI:10.12015/issn.1674-8034.2022.07.028.


[Abstract] Juvenile myoclonic epilepsy (JME) is a lifelong disorder that begins in adolescence. Cognitive decline and abnormal network connectivity are thought to be responsible for cognitive dysfunction in JME patients. Functional magnetic resonance imaging (fMRI) studies have achieved remarkable results in revealing abnormalities of brain functional network and cognitive dysfunction in JME patients, and have significant potentialities to elucidate the physiopathology of JME. Functional network connectivity studies elucidate alterations in brain network of JME patients and help understand the neural mechanisms of JME. Non-traditional electroencephalography-functional magnetic resonance imaging (EEG-fMRI) studies blood oxygen level dependent (BOLD) activities associated dynamic network of EEG, sheding new light on the neural mechanisms of JME. Endophenotypes studies of JME in fMRI help provide a link between clinical features and underlying genetic characteristics. In this article, we will review the advance of brain network, BOLD activities associated dynamic network of EEG and endophenotypes of JME in fMRI.
[Keywords] functional magnetic resonance imaging;juvenile myoclonic epilepsy;brain functional network;endophenotype

ZHANG Xin1   REN Jiechuan2   BAO Junxiang1*  

1 Department of Aerospace Hygiene, Air Force Medical University, Xi'an 710032, China

2 Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China

Bao JX, E-mail: baojunx@fmmu.edu.cn

Conflicts of interest   None.

Received  2021-12-26
Accepted  2022-06-22
DOI: 10.12015/issn.1674-8034.2022.07.028
Cite this article as: Zhang X, Ren JC, Bao JX. Advances of brain network and endophenotypes in fMRI in juvenile myoclonic epilepsy[J]. Chin J Magn Reson Imaging, 2022, 13(7): 143-146, 155.DOI:10.12015/issn.1674-8034.2022.07.028

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