Page 166 - MEGIN Book Of Abstracts - 2023

the SOZ. Significantly more HFOs were detected in iEEG develops into the highly synchronized discharging ac-
relative to MEG t(71) = 2.85, p < .05. There was good tivity seen in disordered networks. This study aimed to
concordance between sources of MEG HFOs and the explore the epilepsy brain network and the significant
resected area in patients with good and poor outcome, re-combined brain areas in childhood absence epilepsy
however HFOs were also detected outside of the re- (CAE).
sected area in patients with poor outcome.
METHODS Twenty-two children with CAE were
CONCLUSION Our findings demonstrate the feasibility recruited to study the neural source activity during
of automatically detecting HFOs non-invasively in MEG ictal-onset and interictal periods at frequency bands of
recordings in paediatric patients, and confirm compat- 1-30 Hz and 30-80 Hz with magnetoencephalography
ibility of results with invasive recordings. (MEG) scanning. Accumulated source imaging (ASI) was
used to analyze the locations of neural source activity
SIGNIFICANCE This approach provides support for the and peak source strength.
non-invasive detection of HFOs to aid surgical planning
and potentially reduce the need for invasive monitor- RESULTS Most of the participants had more active
ing, which is pertinent to paediatric patients. source activity locations in the ictal-onset period rather
than in the interictal period, both at 1-30 Hz and 30-
Keywords: Automatic detection, Beamforming, Epilepsy, 80 Hz. The frontal lobe (FL), the temporo-parietal junc-
HFOs, Kurtosis, MEG, Paediatric age, iEEG tion (T-P), and the parietal lobe (PL) became the main
active areas of source activity during the ictal period,
Clinical neurophysiology: official journal of the while the precuneus (PC), cuneus, and thalamus were
International Federation of Clinical Neurophysiology relatively inactive.
(2021), Vol. 132, No. 9 (34284249) (1 citation)
CONCLUSIONS Some brain areas become more excited
and have increased source activity during seizures.
Functional reorganization of brain regions into These significant brain regions might be re-combined
a network in childhood absence epilepsy: A to form an epilepsy network that regulates the process
magnetoencephalography study (2021) of absence seizures.

Sun, Yulei; Li, Yihan; Sun, Jintao; Zhang, Ke; Tang, Lu; SIGNIFICANCE The study confirmed that important
Wu, Caiyun; Gao, Yuan; Liu, Hongxing; Huang, Shuyang; brain regions are reorganized in an epilepsy network,
Hu, Zheng; Xiang, Jing; Wang, Xiaoshan which provides a basis for exploring the network
mechanism of CAE development. Imaging findings may
Department of Neurology, The Affiliated Brain Hospital of provide a reference for clinical characteristics.
Nanjing Medical University, Nanjing Medical University,
Nanjing, Jiangsu 210029, China; Department of Neurology, Keywords: Childhood absence epilepsy, Default mode
Nanjing Children's Hospital, Nanjing, Jiangsu 210029, China; network, Epilepsy network, Functional reorganization,
Division of Neurology, MEG Center, Cincinnati Children's Hos- Magnetoencephalography, Multi-focal source activity
pital Medical Center, Cincinnati, OH, United States; Depart-
ment of Neurology, The Affiliated Brain Hospital of Nanjing Epilepsy & behavior: E&B (2021), Vol. 122 (34246893) (2
Medical University, Nanjing Medical University, Nanjing, citations)
Jiangsu 210029, China. Electronic address: lidou2005@126.
com

OBJECTIVE Epilepsy is considered as a network disor-
der. However, it is unknown how normal brain activity

 ontents  Index 145
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