抑郁症对海马记忆的影响:一个计算模型

Gokcen Yildiz
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引用次数: 0

摘要

动物研究表明,慢性应激和抑郁可导致CA3锥体神经元顶端树突不可逆萎缩。抑郁症引起的失调也扰乱了海马长期增强(LTP)的分子机制。压力对杏仁核的影响正好与海马体相反;神经影像学研究发现,与非抑郁症患者相比,抑郁症患者的基线活动增加,杏仁核体积也更大。在我们的研究中,我们实现了海马CA3区域的计算模型来模拟抑郁症引起的自联想记忆障碍。在我们的模型中,树突萎缩和突触可塑性紊乱表现为传递延迟的增加,而杏仁核活动的增加则表现为对CA3区抑制性输入的增加。我们的自关联CA3网络包含256个16 × 16阵列的兴奋性复发Hebb突触和一个代表杏仁核抑制的中间神经元。该网络已经被训练来识别人脸模式。我们测试了不完整模式下的自动联想记忆功能,并期望我们的模型能够完成模式补全功能。杏仁核抑制的增加对图案完成性能有负向影响。由于树突萎缩导致的信息延迟增加对记忆性能的影响更为严重。我们观察到,当时间延迟超过10ms时,自动联想记忆会被关闭。在进一步的研究中,我们的动态模型将得到改进,以包括应力对突触可塑性的分子效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of depression on hippocampal memory: A computational model
Animal studies have shown that chronic stress and depression produce irreversible atrophy of the apical dendrites of CA3 pyramidal neurons. Dysregulations caused by depression also disturbes molecular mechanisms of hippocampal long-term potentiation (LTP). The effect of stress on amygdala is just the opposite of the hippocampus; neuroimaging studies have found both increased baseline activity and a greater amygdala volume in depressed compared to nondepressed individuals. In our study, we have implemented a computational model of CA3 region of the hippocampus to simulate the auto-associative memory impairement caused by depression. In our model, the dendritic atrophy and disturbed synaptic plasticity, is represented by the increase in transmission delay and the increased amygdala activity, in turn, is represented by increased inhibitory input to CA3 region. Our auto-associative CA3 network incorporates 256 excitatory recurrent Hebb's synapses in a 16 × 16 array plus one interneuron representing the inhibition by amygdala. The network has been trained to recognize face patterns. We tested the auto-associative memory function with incomplete patterns and we expected our model to perform the pattern completion function. The pattern completion performance was negatively effected by the increase of the inhibition by amygdala. The increase in information delay due to dendritical atrophy had even more severe consequences on the memory performance. We observed a shutting off of the auto-associative memory for time delays longer than 10ms. In further studies, our dynamic model will be improved to include the molecular effects of stress on synaptic plasticity.
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