Spinoza Centre for Neuroimaging, 1105 BK Amsterdam, Netherlands; email:
Department of Experimental and Applied Psychology, VU University Amsterdam, 1181 BT Amsterdam, Netherlands.
Annu Rev Vis Sci. 2018 Sep 15;4:357-379. doi: 10.1146/annurev-vision-091517-033948. Epub 2018 Jun 11.
Receptive fields are a core property of cortical organization. Modern neuroimaging allows routine access to visual population receptive fields (pRFs), enabling investigations of clinical disorders. Yet how the underlying neural circuitry operates is controversial. The controversy surrounds observations that measurements of pRFs can change in healthy adults as well as in patients with a range of ophthalmological and neurological disorders. The debate relates to the balance between plasticity and stability of the underlying neural circuitry. We propose that to move the debate forward, the field needs to define the implied mechanism. First, we review the pRF changes in both healthy subjects and those with clinical disorders. Then, we propose a computational model that describes how pRFs can change in healthy humans. We assert that we can correctly interpret the pRF changes in clinical disorders only if we establish the capabilities and limitations of pRF dynamics in healthy humans with mechanistic models that provide quantitative predictions.
感受野是皮质组织的核心属性。现代神经影像学可以常规地获取视觉群体感受野（pRF），从而能够对临床疾病进行研究。然而，其潜在的神经回路如何运作仍存在争议。争议围绕着这样一种观察结果，即健康成年人以及患有一系列眼科和神经疾病的患者的 pRF 测量值会发生变化。这场辩论涉及到潜在神经回路的可塑性和稳定性之间的平衡。我们提出，为了推动这一辩论向前发展，该领域需要定义所涉及的机制。首先，我们回顾了健康受试者和临床疾病患者的 pRF 变化。然后，我们提出了一个计算模型，描述了健康人中 pRF 如何发生变化。我们断言，只有通过提供定量预测的机制模型来确定健康人中 pRF 动力学的能力和局限性，我们才能正确解释临床疾病中的 pRF 变化。
