• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Behavioral and Brain Science >Potential Biomarkers of Schizophrenia from MEG Resting-State Functional Connectivity Networks: Preliminary Data
【24h】

Potential Biomarkers of Schizophrenia from MEG Resting-State Functional Connectivity Networks: Preliminary Data

机译：来自MEG静止状态功能连接网络的精神分裂症的潜在生物标志物：初步数据

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Previous studies examining coherence and connectivity deviations in schizophrenia patients relied on standard coherence measures between recording sites (at the sensor level). A coherence source imaging (CSI) methodology where coherence is assessed within imaged brain structures (at the source level) was developed recently by our group and applied successfully for detecting coherent areas in the cortical networks of patients with epilepsy. We applied this Magnetoencephalography (MEG)-CSI technique to measure normal and pathological patterns of brain oscillations (biomarkers) in normal subjects and patients diagnosed with schizophrenia. Twelve patients diagnosed with schizophrenia and twelve healthy control subjects were studied. A ten-minute resting state MEG brain scan was performed with eyes open. MEG-CSI analysis was performed to identify the cortical areas that interacted strongly within the 3 - 50 Hz frequency range. Statistically significant increased regions of coherence were detected in schizophrenia patients compared to controls in the right inferior frontal gyrus (BA 47—pars orbitalis), left superior frontal gyrus (BA9— dorsolateral prefrontal cortex), right middle frontal gyrus (BA 10—anterior prefrontal cortex & BA 46—dorsolateral prefrontal cortex), and right cingulate gyrus (BA 24—ventral anterior cingulate cortex). These areas are involved in language, memory, decision making, empathy, executive and, higher cognitive functioning. We conclude that MEG-CSI can detect imaging biomarkers from resting state brain activity in schizophrenia patients that deviates from normal control subjects in several behaviorally salient brain regions. Analysis with MEG-CSI can provide biomarkers of abnormalities in the resting-state. The findings and procedures described can be used to probe the pathophysiology of schizophrenia and possibly detect subtypes.
机译：先前检查精神分裂症患者的相干性和连通性偏差的研究依赖于记录位点之间（传感器水平）的标准相干性测量。我们小组最近开发了一种相干源成像（CSI）方法，该方法可以在成像的大脑结构（在源水平）上评估相干性，并成功地应用于检测癫痫患者皮层网络中的相干区域。我们应用了这种磁脑描记术（MEG）-CSI技术来测量正常受试者和诊断为精神分裂症的患者的大脑振荡（生物标记物）的正常和病理模式。研究了十二名被诊断为精神分裂症的患者和十二名健康对照者。睁开眼睛进行十分钟的静止状态MEG脑扫描。进行了MEG-CSI分析，以确定在3-50 Hz频率范围内相互作用强烈的皮质区域。与对照组相比，精神分裂症患者的相干性在统计学上有显着增加，与右侧下额回（BA 47-眶眶），左侧额上回（BA9-背外侧前额叶皮层），右中额回（BA 10-前额叶）相比皮质＆BA 46-背外侧前额叶皮层）和右扣带回（BA 24-腹侧前扣带回皮层）。这些领域涉及语言，记忆，决策，同理心，执行力和更高的认知功能。我们得出的结论是，MEG-CSI可以从精神分裂症患者的静止状态大脑活动中检测到成像生物标志物，而这些活动状态在几个行为显着的大脑区域中偏离了正常对照组。使用MEG-CSI进行分析可以提供静止状态异常的生物标记。所描述的发现和程序可用于探索精神分裂症的病理生理，并可能检测亚型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号