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JAMA Neurol:发作期脑磁图在致痫灶定位中的应用

2018-06-13 zhangfan MedSci原创

研究发现,发作期脑磁图检测是癫痫外科手术定位的有效方法

目前关于发作性脑磁图(MEG)的应用研究十分有限,近日研究人员就发作期MEG在致痫灶定位中的应用及可靠性进行了考察。

本次研究为病历回顾和前瞻性分析研究,为癫痫外科转诊评估,总计44名患者参与,对参与者术前检查、发作间期和发作期MEG资料进行回顾,分析了患者发病时视觉识别窄带扩展源定位值。

患者平均年龄19.3岁,男性占57%,记录时间平均为51.2分钟,3名患者由已知的触发因素引起癫痫发作,其余为自发性发作。25名患者癫痫发作1次(57%),6人(14%)发作2次,13人(30%)发作3次以上。脑磁图单等效电流偶极子分析对29名患者有效(66%),但8人无明显发作间期放电,其余21例患者中,18例患者(86%)发作期和发作间期存在叶下偶极协调。3名患者(7%)出现清晰的发作期MEG模式,但无脑电图改变。发作期MEG偶极与脑叶发作相关,其相关性经过颅内脑电验证(88%)。未能识别发作期偶极的原因包括弥漫性或不良偶极发作模式、无MEG变化以及患者额外动作。对MEG窄频带切除后可持续性抑制癫痫发作。

研究发现,发作期脑磁图检测是癫痫外科手术定位的有效方法。

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    2018-10-19 yinhl1978
  2. [GetPortalCommentsPageByObjectIdResponse(id=2000457, encodeId=ae41200045e73, content=<a href='/topic/show?id=d5df12695e6' target=_blank style='color:#2F92EE;'>#Neurol#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12695, encryptionId=d5df12695e6, topicName=Neurol)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=8217292, createdName=yinhl1978, createdTime=Fri Oct 19 06:11:00 CST 2018, time=2018-10-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1799731, encodeId=404f1e997314a, content=<a href='/topic/show?id=d925e118922' target=_blank style='color:#2F92EE;'>#痫灶定位#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=82, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=71189, encryptionId=d925e118922, topicName=痫灶定位)], attachment=null, authenticateStatus=null, createdAvatar=http://thirdwx.qlogo.cn/mmopen/vi_32/Q0j4TwGTfTK17mLkWpia3T92NlEWTkEhrhZa7XPNic2JqQumEicZXGYFG6Ww5SCIl0Uq62bhhPnibAqIZDHtRva92A/132, createdBy=e0752500025, createdName=江川靖瑶, createdTime=Fri May 24 22:11:00 CST 2019, time=2019-05-24, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=323823, encodeId=959b32382324, content=学习了.谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=88, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220115/46bcf39c32de4aa6b45c5f9d66c8ee77/6cb4a20c55bb4b7691122f47747bfca2.jpg, createdBy=9dad1662329, createdName=1ddf0692m34(暂无匿称), createdTime=Wed Jun 13 11:17:58 CST 2018, time=2018-06-13, status=1, ipAttribution=)]
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    2018-06-13 1ddf0692m34(暂无匿称)

    学习了.谢谢分享

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