...
首页> 外文期刊>Frontiers in Psychology >Resting State Networks and Consciousness: Alterations of Multiple Resting State Network Connectivity in Physiological, Pharmacological, and Pathological Consciousness States
【24h】

Resting State Networks and Consciousness: Alterations of Multiple Resting State Network Connectivity in Physiological, Pharmacological, and Pathological Consciousness States

机译:静息状态网络和意识:生理,药理和病理意识状态中的多个静息状态网络连接的更改。

获取原文
           

摘要

In order to better understand the functional contribution of resting state activity to conscious cognition, we aimed to review increases and decreases in functional magnetic resonance imaging (fMRI) functional connectivity under physiological (sleep), pharmacological (anesthesia), and pathological altered states of consciousness, such as brain death, coma, vegetative state/unresponsive wakefulness syndrome, and minimally conscious state. The reviewed resting state networks were the DMN, left and right executive control, salience, sensorimotor, auditory, and visual networks. We highlight some methodological issues concerning resting state analyses in severely injured brains mainly in terms of hypothesis-driven seed-based correlation analysis and data-driven independent components analysis approaches. Finally, we attempt to contextualize our discussion within theoretical frameworks of conscious processes. We think that this “lesion” approach allows us to better determine the necessary conditions under which normal conscious cognition takes place. At the clinical level, we acknowledge the technical merits of the resting state paradigm. Indeed, fast and easy acquisitions are preferable to activation paradigms in clinical populations. Finally, we emphasize the need to validate the diagnostic and prognostic value of fMRI resting state measurements in non-communicating brain damaged patients.
机译:为了更好地了解静止状态活动对意识认知的功能贡献,我们旨在综述生理(睡眠),药理(麻醉)和病理改变的意识状态下功能磁共振成像(fMRI)功能连接性的增加和减少,例如脑死亡,昏迷,植物状态/无反应的清醒综合症和最低意识状态。审查的休息状态网络是DMN,左,右执行控制,显着性,感觉运动,听觉和视觉网络。我们主要基于假设驱动的基于种子的相关性分析和数据驱动的独立成分分析方法,重点介绍了严重受伤的大脑中有关静息状态分析的一些方法学问题。最后,我们尝试在自觉过程的理论框架内将我们的讨论情境化。我们认为这种“病变”方法使我们能够更好地确定正常意识认知发生的必要条件。在临床上,我们承认静息状态范例的技术优势。实际上,在临床人群中,快速简便的采集优于激活范例。最后,我们强调需要验证fMRI静止状态测量在非交流性脑损伤患者中的诊断和预后价值。

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