Temporal dynamics of distinct CA1 cell populations during unconscious state induced by ketamine.
Temporal dynamics of distinct CA1 cell populations during unconscious state induced by ketamine.
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DOI：
10.1371/journal.pone.0015209
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发表时间：
2010-12-08
期刊：
影响因子：
3.7
通讯作者：
Tsien JZ
中科院分区：
文献类型：
--
作者：
Kuang H;Lin L;Tsien JZ
氯胺酮是一种广泛使用的分离性麻醉剂，在手术后可引起一些患者的精神病样症状和记忆障碍。为了了解其对大脑中神经种群动力学的影响，我们采用了大规模的体内合奏记录技术来监测同时记录的海马CA 1锥体细胞和各种中间神经元在几个有意识和无意识的状态，如清醒休息，运行，慢波睡眠和氯胺酮诱导的麻醉的活动模式。我们的分析表明，氯胺酮诱导不同的振荡动力学不仅在锥体细胞，但也在至少七种不同类型的CA 1中间神经元，包括推定的篮状细胞，枝形细胞，bisteratively细胞，和O-LM细胞。这些新兴的独特的振荡动力学可能很好地反映了内在的时间关系内的CA 1电路。可以想象，网络动力学的系统表征最终可能会导致更好地理解氯胺酮如何诱导无意识，从而改变有意识的头脑。
Ketamine is a widely used dissociative anesthetic which can induce some psychotic-like symptoms and memory deficits in some patients during the post-operative period. To understand its effects on neural population dynamics in the brain, we employed large-scale in vivo ensemble recording techniques to monitor the activity patterns of simultaneously recorded hippocampal CA1 pyramidal cells and various interneurons during several conscious and unconscious states such as awake rest, running, slow wave sleep, and ketamine-induced anesthesia. Our analyses reveal that ketamine induces distinct oscillatory dynamics not only in pyramidal cells but also in at least seven different types of CA1 interneurons including putative basket cells, chandelier cells, bistratified cells, and O-LM cells. These emergent unique oscillatory dynamics may very well reflect the intrinsic temporal relationships within the CA1 circuit. It is conceivable that systematic characterization of network dynamics may eventually lead to better understanding of how ketamine induces unconsciousness and consequently alters the conscious mind.
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影响因子：
3.7
作者：
Hakami T;Jones NC;Tolmacheva EA;Gaudias J;Chaumont J;Salzberg M;O'Brien TJ;Pinault D
通讯作者：
Pinault D
影响因子：
25
作者：
Klausberger, T;Márton, LF;Somogyi, P
通讯作者：
Somogyi, P
DOI：
10.1073/pnas.95.6.3182
发表时间：
1998-03-17
影响因子：
11.1
作者：
Fenton, AA;Muller, RU
通讯作者：
Muller, RU
影响因子：
3.7
作者：
Chen G;Wang LP;Tsien JZ
通讯作者：
Tsien JZ
影响因子：
10.7
作者：
Craven, R.
通讯作者：
Craven, R.