{"title":"rTMS-enhanced gamma oscillation through strengthened network connection.","authors":"M. Dou, X. Tian","doi":"10.1109/EMBC.2016.7590719","DOIUrl":null,"url":null,"abstract":"Gamma oscillations emerge generally in working memory to aspect of higher cognitive functions, and typically with the interaction of brain network. How is gamma oscillatory activity influenced by the functional connection in the brain'a network? How can gamma oscillations be increased by neural modulation to result in potential benefits for working memory? The present study aims to investigate the intensity of gamma oscillations modulated by low frequency repetitive transcranial magnetic stimulation (rTMS), and the possible brain network mechanism of increased gamma oscillations during working memory task in rats. Adult SD rats were divided into two groups: rTMS group receiving low frequency (1Hz) rTMS for 14 consecutive days and control group.16-channel local field potentials (LFPs) were recorded from rat prefrontal cortex while the rats performed a working memory task on Y-maze. Feature frequency oscillations in LFPs were measured by coherence analysis. Furthermore, the values of Directed transfer function (DTF) among LFPs were calculated to describe the function connection quantitatively in LFP network. The results show that the gamma (30-60Hz) synchronization preceded rat's correct choice in working memory task for the two groups. Coherence peaked before the behavior reference point for the two groups. Meanwhile, DTF value peaked before the behavior reference point for control and rTMS groups respectively. The rTMS modulation resulted in a coordinated increase in both gamma oscillation and strength of connection in the gamma band, which showed a significant difference (P<0.01). These findings suggest that gamma oscillations occur (both energy density and coherence in gamma-band) during working memory, which might be led by functional connection in gamma-band LFP network. Furthermore, gamma oscillation can be stimulated by rTMS, and strength gamma oscillation might be caused by the rTMS-mediated enhanced connection in the network.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"38 1","pages":"379-382"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMBC.2016.7590719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Gamma oscillations emerge generally in working memory to aspect of higher cognitive functions, and typically with the interaction of brain network. How is gamma oscillatory activity influenced by the functional connection in the brain'a network? How can gamma oscillations be increased by neural modulation to result in potential benefits for working memory? The present study aims to investigate the intensity of gamma oscillations modulated by low frequency repetitive transcranial magnetic stimulation (rTMS), and the possible brain network mechanism of increased gamma oscillations during working memory task in rats. Adult SD rats were divided into two groups: rTMS group receiving low frequency (1Hz) rTMS for 14 consecutive days and control group.16-channel local field potentials (LFPs) were recorded from rat prefrontal cortex while the rats performed a working memory task on Y-maze. Feature frequency oscillations in LFPs were measured by coherence analysis. Furthermore, the values of Directed transfer function (DTF) among LFPs were calculated to describe the function connection quantitatively in LFP network. The results show that the gamma (30-60Hz) synchronization preceded rat's correct choice in working memory task for the two groups. Coherence peaked before the behavior reference point for the two groups. Meanwhile, DTF value peaked before the behavior reference point for control and rTMS groups respectively. The rTMS modulation resulted in a coordinated increase in both gamma oscillation and strength of connection in the gamma band, which showed a significant difference (P<0.01). These findings suggest that gamma oscillations occur (both energy density and coherence in gamma-band) during working memory, which might be led by functional connection in gamma-band LFP network. Furthermore, gamma oscillation can be stimulated by rTMS, and strength gamma oscillation might be caused by the rTMS-mediated enhanced connection in the network.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
rtms通过加强网络连接增强伽马振荡。
伽马振荡通常出现在工作记忆和高级认知功能方面,通常与大脑网络的相互作用有关。脑网络的功能连接如何影响伽马振荡活动?如何通过神经调节增加伽马振荡从而对工作记忆产生潜在的好处?本研究旨在探讨低频重复经颅磁刺激(rTMS)对大鼠工作记忆任务中伽马振荡强度的调节,以及伽马振荡增加的可能脑网络机制。将成年SD大鼠分为两组:接受低频(1Hz) rTMS连续14 d的rTMS组和对照组。在y型迷宫中进行工作记忆任务时,记录大鼠前额皮质16通道局部场电位(LFPs)。通过相干分析测量了lfp的特征频率振荡。此外,计算了LFP之间的有向传递函数(DTF)值,定量描述了LFP网络中的功能连接。结果表明,两组大鼠在工作记忆任务中,γ (30-60Hz)同步先于正确选择。两组的一致性在行为参照点之前达到峰值。同时,对照组和rTMS组DTF值分别在行为参考点前达到峰值。rTMS调制导致γ振荡和γ波段连接强度的协调增加,两者呈显著性差异(P<0.01)。这些结果表明,在工作记忆过程中会出现伽马振荡(包括伽马波段的能量密度和相干性),这可能是由伽马波段LFP网络的功能连接所导致的。此外,rTMS可以刺激伽马振荡,强度伽马振荡可能是由rTMS介导的网络连接增强引起的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.20
自引率
0.00%
发文量
0
期刊最新文献
Rapid Label-free DNA Quantification by Multi-frequency Impedance Sensing on a Chip. A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification Brain Morphometry Analysis with Surface Foliation Theory Low-Cost, USB Connected and Multi-Purpose Biopotential Recording System. A Fast Respiratory Rate Estimation Method using Joint Sparse Signal Reconstruction based on Regularized Sparsity Adaptive Matching Pursuit.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1