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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/79049


    Title: GABAA receptor deficits predict recovery in patients with disorders of consciousness: A preliminary multimodal [11C]Flumazenil PET and fMRI study
    Authors: Northoff, Georg
    Contributors: 心智、大腦與學習研究中心
    Keywords: vegetative state;minimally conscious state;functional connectivity;unresponsive wakefulness syndrome;Zolpidem;salience network;default-mode network;executive-control network
    Date: 2015-10
    Issue Date: 2015-10-26 17:41:25 (UTC+8)
    Abstract: Objectives:Disorders of consciousness (DoC)—that is, unresponsive wakefulness syndrome/vegetative state and minimally conscious state—are debilitating conditions for which no reliable markers of consciousness recovery have yet been identified. Evidence points to the GABAergic system being altered in DoC, making it a potential target as such a marker.Experimental design:In our preliminary study, we used [11C]Flumazenil positron emission tomography to establish global GABAA receptor binding potential values and the local-to-global (LTG) ratio of these for specific regions. These values were then compared between DoC patients and healthy controls. In addition, they were correlated with behavioral improvements for the patients between the time of scanning and 3 months later. Functional magnetic resonance imaging resting-state functional connectivity was also calculated and the same comparisons made.Principal observations:lobal GABAA receptor binding was reduced in DoC, as was the LTG ratio in specifically the supragenual anterior cingulate. Both of these measures correlated with behavioral improvement after 3 months. In contrast to these measures of GABAA receptor binding, functional connectivity did not correlate with behavioral improvement.Conclusions:Our preliminary findings point toward GABAA receptor binding being a marker of consciousness recovery in DoC. Hum Brain Mapp 36:3867–3877, 2015. © 2015 Wiley Periodicals, Inc.
    Relation: Human Brain Mapping, 36(10), 3867-3877
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1002/hbm.22883
    DOI: 10.1002/hbm.22883
    Appears in Collections:[心智‧大腦與學習研究中心 ] 期刊論文

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