Sajid Noor, Parr Thomas, Gajardo-Vidal Andrea, Price Cathy J, Friston Karl J
Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK.
Brain Commun. 2020 Oct 1;2(2):fcaa164. doi: 10.1093/braincomms/fcaa164. eCollection 2020.
Paradoxical lesions are secondary brain lesions that ameliorate functional deficits caused by the initial insult. This effect has been explained in several ways; particularly by the reduction of functional inhibition, or by increases in the excitatory-to-inhibitory synaptic balance within perilesional tissue. In this article, we simulate how and when a modification of the excitatory-inhibitory balance triggers the reversal of a functional deficit caused by a primary lesion. For this, we introduce lesions to an active inference model of auditory word repetition. The first lesion simulated damage to the extrinsic (between regions) connectivity causing a functional deficit that did not fully resolve over 100 trials of a word repetition task. The second lesion was implemented in the intrinsic (within region) connectivity, compromising the model's ability to rebalance excitatory-inhibitory connections during learning. We found that when the second lesion was mild, there was an increase in experience-dependent plasticity that enhanced performance relative to a single lesion. This paradoxical lesion effect disappeared when the second lesion was more severe because plasticity-related changes were disproportionately amplified in the intrinsic connectivity, relative to lesioned extrinsic connections. Finally, this framework was used to predict the physiological correlates of paradoxical lesions. This formal approach provides new insights into the computational and neurophysiological mechanisms that allow some patients to recover after large or multiple lesions.
矛盾性损伤是继发性脑损伤,可改善由初始损伤引起的功能缺陷。这种效应有多种解释方式;特别是通过减少功能抑制,或通过增加损伤周围组织内兴奋性与抑制性突触平衡来实现。在本文中,我们模拟了兴奋性 - 抑制性平衡的改变如何以及何时触发由原发性损伤导致的功能缺陷的逆转。为此,我们将损伤引入听觉单词重复的主动推理模型。第一个损伤模拟了外在(区域间)连接性的损伤,导致在单词重复任务的100次试验中功能缺陷未能完全解决。第二个损伤施加于内在(区域内)连接性,损害了模型在学习过程中重新平衡兴奋性 - 抑制性连接的能力。我们发现,当第二个损伤较轻时,与经验相关的可塑性增加,相对于单一损伤,性能得到增强。当第二个损伤更严重时,这种矛盾性损伤效应消失,因为相对于受损的外在连接,可塑性相关变化在内在连接性中被不成比例地放大。最后,该框架被用于预测矛盾性损伤的生理相关性。这种形式化方法为一些患者在遭受大面积或多发性损伤后仍能恢复的计算和神经生理机制提供了新的见解。