Literature DB >> 33661582

Recent advances in the noninvasive detection of high-frequency oscillations in the human brain.

Yuying Fan1, Liping Dong2, Xueyan Liu1, Hua Wang1, Yunhui Liu3.   

Abstract

In recent decades, a significant body of evidence based on invasive clinical research has showed that high-frequency oscillations (HFOs) are a promising biomarker for localization of the seizure onset zone (SOZ), and therefore, have the potential to improve postsurgical outcomes in patients with epilepsy. Emerging clinical literature has demonstrated that HFOs can be recorded noninvasively using methods such as scalp electroencephalography (EEG) and magnetoencephalography (MEG). Not only are HFOs considered to be a useful biomarker of the SOZ, they also have the potential to gauge disease severity, monitor treatment, and evaluate prognostic outcomes. In this article, we review recent clinical research on noninvasively detected HFOs in the human brain, with a focus on epilepsy. Noninvasively detected scalp HFOs have been investigated in various types of epilepsy. HFOs have also been studied noninvasively in other pathologic brain disorders, such as migraine and autism. Herein, we discuss the challenges reported in noninvasive HFO studies, including the scarcity of MEG and high-density EEG equipment in clinical settings, low signal-to-noise ratio, lack of clinically approved automated detection methods, and the difficulty in differentiating between physiologic and pathologic HFOs. Additional studies on noninvasive recording methods for HFOs are needed, especially prospective multicenter studies. Further research is fundamental, and extensive work is needed before HFOs can routinely be assessed in clinical settings; however, the future appears promising.
© 2020 Yuying Fan et al., published by De Gruyter, Berlin/Boston.

Entities:  

Keywords:  electroencephalography; high-frequency brain oscillations; magnetoencephalography; noninvasive

Year:  2020        PMID: 33661582     DOI: 10.1515/revneuro-2020-0073

Source DB:  PubMed          Journal:  Rev Neurosci        ISSN: 0334-1763            Impact factor:   4.353


  3 in total

Review 1.  Automatic Detection of High-Frequency Oscillations With Neuromorphic Spiking Neural Networks.

Authors:  Karla Burelo; Mohammadali Sharifshazileh; Giacomo Indiveri; Johannes Sarnthein
Journal:  Front Neurosci       Date:  2022-06-02       Impact factor: 5.152

2.  Scalp HFO rates are higher for larger lesions.

Authors:  Dorottya Cserpan; Antonio Gennari; Luca Gaito; Santo Pietro Lo Biundo; Ruth Tuura; Johannes Sarnthein; Georgia Ramantani
Journal:  Epilepsia Open       Date:  2022-05-06

3.  A multi-head self-attention deep learning approach for detection and recommendation of neuromagnetic high frequency oscillations in epilepsy.

Authors:  Xiangyu Zhao; Xueping Peng; Ke Niu; Hailong Li; Lili He; Feng Yang; Ting Wu; Duo Chen; Qiusi Zhang; Menglin Ouyang; Jiayang Guo; Yijie Pan
Journal:  Front Neuroinform       Date:  2022-09-09       Impact factor: 3.739

  3 in total

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