南方医科大学学报
南方醫科大學學報
남방의과대학학보
JOURNAL OF SOUTHERN MEDICAL UNIVERSITY
2014年
3期
291-294
,共4页
刘佳浩%王超%肖中举%周凌宏
劉佳浩%王超%肖中舉%週凌宏
류가호%왕초%초중거%주릉굉
耳蜗核%抑制性输入%反应类型%神经元
耳蝸覈%抑製性輸入%反應類型%神經元
이와핵%억제성수입%반응류형%신경원
cochlear nucleus%inhibitory inputs%response patterns%neuron
目的耳蜗核神经元响应短纯音刺激的反应类型主要有类初级反应型、梳状型和给声开始型。我们建立的兴奋性模型可以仿真出耳蜗核神经元的反应类型,本文在此基础上研究兴奋性输入强度对耳蜗核反应类型的影响,并推测生理情况下抑制性输入在神经元响应中的作用。方法在Matlab平台上构造基于积分-放电模型的兴奋性模型,改变其输入强度,多次重复刺激后用OriginPro 7.5数据分析软件获得其刺激后时间直方图,观察神经元的反应类型是否随刺激强度发生改变。结果仿真发现随着兴奋性输入强度的增加,初级反应型只增加放电数,梳状型和给声开始型还出现向初级反应型转变的结果,而生理条件下很少观察到耳蜗核神经元随着刺激强度的变化而改变其反应类型。结论基于仿真结果和生理实验的比较,推测耳蜗核神经元接收到的不是单一的兴奋性输入,抑制性输入对神经元响应声音刺激时将膜电位稳定到一定范围起着重要作用,这种多种输入整合的共同作用最终决定神经元的反应类型和响应特性。
目的耳蝸覈神經元響應短純音刺激的反應類型主要有類初級反應型、梳狀型和給聲開始型。我們建立的興奮性模型可以倣真齣耳蝸覈神經元的反應類型,本文在此基礎上研究興奮性輸入彊度對耳蝸覈反應類型的影響,併推測生理情況下抑製性輸入在神經元響應中的作用。方法在Matlab平檯上構造基于積分-放電模型的興奮性模型,改變其輸入彊度,多次重複刺激後用OriginPro 7.5數據分析軟件穫得其刺激後時間直方圖,觀察神經元的反應類型是否隨刺激彊度髮生改變。結果倣真髮現隨著興奮性輸入彊度的增加,初級反應型隻增加放電數,梳狀型和給聲開始型還齣現嚮初級反應型轉變的結果,而生理條件下很少觀察到耳蝸覈神經元隨著刺激彊度的變化而改變其反應類型。結論基于倣真結果和生理實驗的比較,推測耳蝸覈神經元接收到的不是單一的興奮性輸入,抑製性輸入對神經元響應聲音刺激時將膜電位穩定到一定範圍起著重要作用,這種多種輸入整閤的共同作用最終決定神經元的反應類型和響應特性。
목적이와핵신경원향응단순음자격적반응류형주요유류초급반응형、소상형화급성개시형。아문건립적흥강성모형가이방진출이와핵신경원적반응류형,본문재차기출상연구흥강성수입강도대이와핵반응류형적영향,병추측생리정황하억제성수입재신경원향응중적작용。방법재Matlab평태상구조기우적분-방전모형적흥강성모형,개변기수입강도,다차중복자격후용OriginPro 7.5수거분석연건획득기자격후시간직방도,관찰신경원적반응류형시부수자격강도발생개변。결과방진발현수착흥강성수입강도적증가,초급반응형지증가방전수,소상형화급성개시형환출현향초급반응형전변적결과,이생리조건하흔소관찰도이와핵신경원수착자격강도적변화이개변기반응류형。결론기우방진결과화생리실험적비교,추측이와핵신경원접수도적불시단일적흥강성수입,억제성수입대신경원향응성음자격시장막전위은정도일정범위기착중요작용,저충다충수입정합적공동작용최종결정신경원적반응류형화향응특성。
Objective The cochlear nucleus (CN) neurons show 3 principal response patterns to short tone bursts, namely the primary-like, chopper and onset response patterns. We previously established an excitatory model to simulate the response patterns of CN neurons to stimuli. In this study, we aimed to investigate the effects of excitatory intensity on the CN neuron response patterns and explore the role of inhibitory inputs under normal physiological conditions. Methods Based on the platform of Matlab and the excitatory model derived from the integrate-and-fire model, we altered the intensity of excitatory inputs in dB range and obtained the histograms to analyze the changes in the response patterns of the neurons using OriginPro 7.5 data analysis software. Results The original primary-like response pattern of the neurons did not vary significantly while the chopper and onset response patterns changed into primary-like responses with the increase of the excitatory input intensity. But this response pattern alteration as a result of excitatory input intensity changes was rarely observed under normal physiological conditions. Conclusions The CN neurons receive balanced excitatory and inhibitory inputs, which stabilize the neuronal membrane potential within a limited range. The balanced inhibitory inputs decide the response pattern of a given neuron.