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边缘皮层、基底前脑和小脑之间的网络相互作用区分了作为巴甫洛夫兴奋物或抑制物的条件刺激:氟脱氧葡萄糖图谱和协方差结构建模。

Network interactions among limbic cortices, basal forebrain, and cerebellum differentiate a tone conditioned as a Pavlovian excitor or inhibitor: fluorodeoxyglucose mapping and covariance structural modeling.

作者信息

McIntosh A R, Gonzalez-Lima F

机构信息

Department of Psychology, University of Texas, Austin 78712.

出版信息

J Neurophysiol. 1994 Oct;72(4):1717-33. doi: 10.1152/jn.1994.72.4.1717.

Abstract
  1. The objective was to examine how opposite learned behavioral responses to the same physical tone were differentiated by the pattern of interactions between extraauditory neural regions. This was pursued using a new approach combining behavior, neuroimaging, and network analysis to integrate information about differences in regional activity with differences in the covariance relationships between brain areas. 2. A tone was used as either a Pavlovian conditioned excitor or inhibitor. Rats were conditioned with reinforced trials of a conditioned excitor (A+) intermixed with nonreinforced trials of a tone-light compound (AX-). The tone was the excitor (A+) for the tone-excitor group and was the inhibitor (X-) for the tone-inhibitor group. After conditioning, all rats were injected with [14C(U)]2-fluoro-2-deoxyglucose (FDG) and presented with the same tone. 3. FDG autoradiography was used to measure regional activity and to generate interregional correlations of activity resulting from the presentation of the tone. A stepwise discriminant analysis was used to select brain regions that differentiated the excitor from the inhibitor effects. 4. Network analysis consisted of constructing an anatomic model of the brain regions, selected by the discriminant analysis, linking the regions with their known anatomical connections. Then, functional models for the tone-excitor and -inhibitor groups were constructed using structural equation modeling. Correlations of activity between regions were decomposed to calculate numerical weights, or path coefficients, for each anatomic path. These path coefficients were used to compare the interactions for the tone-excitor and -inhibitor models. 5. Regional differences in FDG uptake were found in the sulcal frontal cortex (SFC), lateral septum (LS), medial septum/diagonal band (MS/DB), retrosplenial cortex (RS), and dentate-interpositus nuclei of the cerebellum (DEN). Discriminant analysis selected three other regions that significantly discriminated the tone-excitor and -inhibitor groups: perirhinal cortex (PRh), nucleus accumbens (ACB), and the anteroventral nucleus of the thalamus (AVN). 6. Structural equation modeling identified two functional circuits that differentiated the groups. One involved the basal forebrain regions (LS, MS/DB, ACB) and the other limbic thalamocortical structures (SFC, RS, PRh, AVN). Differences in the interactions within these circuits were mainly in sign of the covariance relationships between regions, from positive for the tone-excitor model to negative path coefficients for the tone-inhibitor model. The path coefficient between the basal forebrain circuit and the limbic thalamocortical circuit showed the largest magnitude difference. This quantitative difference was mediated by a path from the MS/DB to PRh.(ABSTRACT TRUNCATED AT 400 WORDS)
摘要
  1. 目的是研究同一物理音调的相反习得行为反应是如何通过听觉外神经区域之间的相互作用模式来区分的。为此采用了一种新方法,将行为学、神经影像学和网络分析相结合,以整合有关区域活动差异与脑区之间协方差关系差异的信息。2. 一种音调被用作巴甫洛夫条件刺激物或抑制剂。大鼠接受条件刺激物(A +)的强化试验,并与音调 - 光复合物(AX -)的非强化试验混合。对于音调 - 刺激物组,音调是刺激物(A +),而对于音调 - 抑制剂组,音调是抑制剂(X -)。条件反射建立后,所有大鼠都注射了[14C(U)]2 - 氟 - 2 - 脱氧葡萄糖(FDG),并呈现相同的音调。3. FDG放射自显影用于测量区域活动,并生成音调呈现所导致的区域间活动相关性。逐步判别分析用于选择区分刺激物和抑制剂效应的脑区。4. 网络分析包括构建由判别分析选择的脑区的解剖模型,通过它们已知的解剖连接将这些区域连接起来。然后,使用结构方程模型为音调 - 刺激物组和 - 抑制剂组构建功能模型。区域间活动的相关性被分解以计算每个解剖路径的数值权重或路径系数。这些路径系数用于比较音调 - 刺激物模型和 - 抑制剂模型的相互作用。5. 在沟回额叶皮质(SFC)、外侧隔核(LS)、内侧隔核/斜角带(MS/DB)、压后皮质(RS)和小脑齿状 - 间位核(DEN)中发现了FDG摄取的区域差异。判别分析还选择了其他三个能显著区分音调 - 刺激物组和 - 抑制剂组的区域:梨状前皮质(PRh)、伏隔核(ACB)和丘脑前腹核(AVN)。6. 结构方程模型确定了两个区分这两组的功能回路。一个涉及基底前脑区域(LS、MS/DB、ACB),另一个涉及边缘丘脑皮质结构(SFC、RS、PRh、AVN)。这些回路内相互作用的差异主要在于区域间协方差关系的符号,从音调 - 刺激物模型的正相关到音调 - 抑制剂模型的负路径系数。基底前脑回路和边缘丘脑皮质回路之间的路径系数显示出最大的差异幅度。这种定量差异由从MS/DB到PRh的一条路径介导。(摘要截断于400字)

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