Motor and Sensory Cortical Processing of Neural Oscillatory Activities revealed by Human Swallowing using Intracranial Electrodes

Hashimoto, Hiroaki; Takahashi, Kazutaka; Kameda, Seiji; Yoshida, Fumiaki; Maezawa, Hitoshi; Oshino, Satoru; Tani, Naoki; Khoo, Hui Ming; Yanagisawa, Takufumi; Yoshimine, Toshiki; Kishima, Haruhiko; Hirata, Masayuki

doi:10.1101/2020.07.21.213868

Cited by 3 publications

(2 citation statements)

References 70 publications

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“…During the seizure-dependent HFA increase, the PAC using a lower frequency (except for ISA) simultaneously increases 19,20,24 . However, in this study, PAC with ISA increased before the increase in HFA, which was concordant with the profile of physiological PAC 22,23 . Moreover, the PAC before SO was positively correlated with the later HFA; therefore, ISA-HFA PAC might play an essential role in inducing an HFA burst during or just before seizures.…”

Section: Discussionsupporting

confidence: 89%

“…Ictal HFA amplitudes coupled with δ 17,18 , θ 19,20 , and α 19 phases, and β-HFA coupling are useful markers for seizure detection 21 . These pathological PACs are usually accompanied by ictal HFA, whereas physiological PACs that are involved in motor-related HFAs (high γ band) appear before the HFA increases 22,23 . Physiological PAC may induce a delay in physiological HFA; however, it is not known whether a preceding seizure-related PAC can induce a delay in ictal HFA or not.…”

Section: Introductionmentioning

confidence: 99%

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Phase-Amplitude Coupling between Infraslow and High-Frequency Activities is a Potential Biomarker for Seizure Prediction

Hashimoto

Khoo

Yanagisawa

et al. 2020

Preprint

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IMPORTANCEThis research describes a method to accurately predict the onset of epileptic seizures; this will help treat patients timely, prevent future seizures, and improve outcomes.OBJECTIVEWe aimed to assess whether the phase-amplitude coupling (PAC) between infraslow activities (ISA) and high-frequency activities (HFA) increases before seizure onset.DESIGN AND SETTINGThis retrospective, single-center case series included patients admitted to the neurosurgery department at Osaka University Hospital in Suita, Osaka, from July 2018 to July 2019.PARTICIPANTSWe enrolled seven patients with drug-resistant focal epilepsy who underwent intracranial electrode placement as part of a presurgical invasive electroencephalography study.MAIN OUTCOMES AND MEASURESWe comparatively analyzed the ISA, HFA, and ISA-HFA PAC in the seizure onset zone (SOZ) or non-SOZ (nSOZ) in the interictal, preictal, and ictal states.RESULTSWe recorded 15 seizures in seven patients [1 female (14%); mean (SD) age = 26 (12) years; age range, 15-47 years]. HFA and ISA were larger in the ictal states than in the interictal and preictal states. During seizures, the HFA and ISA of the SOZ were larger and earlier than those of nSOZ. In the preictal states, the ISA-HFA PAC was larger than that of the interictal states, and it began increasing at 93 seconds before the seizure onset. There were no differences in the values and time of ISA-HFA PAC between both zones. Our phase-based analysis revealed differences between the SOZ- and nSOZ-PAC. In SOZ, the HFA amplitudes were tuned at the trough of the ISA oscillations, and in nSOZ, the HFA amplitudes were tuned at the peak of these oscillations. The receiver-operating characteristic curve showed that the ISA-HFA PAC of the SOZ showed the highest discrimination performance in the preictal and interictal states, with an area under the curve (AUC) of 0.926. However, ISA-HFA PAC was not suitable to differentiate between SOZ and nSOZ (interictal AUC = 0.555, preictal AUC = 0.691, and ictal AUC = 0.646).CONCLUSION AND RELEVANCEThis study demonstrated the novel insight that ISA-HFA PAC increases before the onset of seizures, regardless of the seizure zone the patient is in. Our findings indicate that ISA-HFA PAC is a potential biomarker for predicting the onset of seizures and may be valuable to physicians who routinely treat epileptic patients.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Phase-Amplitude Coupling between Infraslow and High-Frequency Activities is a Potential Biomarker for Seizure Prediction

Hashimoto

Khoo

Yanagisawa

et al. 2020

Preprint

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Metaplasticity in the human swallowing system: clinical implications for dysphagia rehabilitation

Cheng

Hamdy

2021

Neurol Sci

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Dysphagia is a common and devastating complication following brain damage. Over the last 2 decades, dysphagia treatments have shifted from compensatory to rehabilitative strategies that facilitate neuroplasticity, which is the reorganization of neural networks that is essential for functional recovery. Moreover, there is growing interest in the application of cortical and peripheral neurostimulation to promote such neuroplasticity. Despite some preliminary positive findings, the variability in responsiveness toward these treatments remains substantial. The purpose of this review is to summarize findings on the effects of neurostimulation in promoting neuroplasticity for dysphagia rehabilitation and highlight the need to develop more effective treatment strategies. We then discuss the role of metaplasticity, a homeostatic mechanism of the brain to regulate plasticity changes, in helping to drive neurorehabilitation. Finally, a hypothesis on how metaplasticity could be applied in dysphagia rehabilitation to enhance treatment outcomes is proposed.

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The Analysis and Decoding of Swallowing-related Neural Activities Using Intracranial Electrodes

et al. 2020

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The present study clarified the swallowing-related neural activities using human intracranial electrodes. Eight epileptic participants fitted with intracranial electrodes on the orofacial cortex were asked to swallow a water bolus, and cortical oscillatory changes were investigated. High γ ( 75 -150 Hz)power increases associated with swallowing were observed in the subcentral area. To decode swallowing intention, ECoG signals were converted into images whose vertical axes were the electrode's contacts and whose horizontal axis was the time in milliseconds; these findings were used as training data. Deep transfer learning was carried out using AlexNet, and the power in the high-γ band was used to create the training image set. The accuracy reached 74 %, and the sensitivity reached 83 %. We showed that a version of AlexNet pre-trained with visually meaningful images can be used for transfer learning of visually meaningless images made up of ECoG signals. This study demonstrated that swallowing-related high γ activities were observed in the subcentral area, and deep transfer learning using high γ activities enabled us to decode the swallowing-related neural activities.Keywords： swallowing-related neural activity, high γ band, deep transfer learning, intracranial electrodes

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Motor and Sensory Cortical Processing of Neural Oscillatory Activities revealed by Human Swallowing using Intracranial Electrodes

Cited by 3 publications

References 70 publications

Phase-Amplitude Coupling between Infraslow and High-Frequency Activities is a Potential Biomarker for Seizure Prediction

Phase-Amplitude Coupling between Infraslow and High-Frequency Activities is a Potential Biomarker for Seizure Prediction

Metaplasticity in the human swallowing system: clinical implications for dysphagia rehabilitation

The Analysis and Decoding of Swallowing-related Neural Activities Using Intracranial Electrodes

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