Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Belgium; Neurology Department, University Hospitals Leuven, 3000 Leuven, Belgium.
Laboratory of Experimental Psychology, Humanities and Social Sciences Group, KU Leuven, Belgium.
Neurosci Biobehav Rev. 2019 Aug;103:3-13. doi: 10.1016/j.neubiorev.2019.05.015. Epub 2019 May 24.
The boundaries of our understanding of conceptual representation in the brain have been redrawn since the introduction of explicit models of semantics. These models are grounded in vast behavioural datasets acquired in healthy volunteers. Here, we review the most important techniques which have been applied to detect semantic information in neuroimaging data and argue why semantic models are possibly the most valuable addition to the research of semantics in recent years. Using multivariate analysis, predictions based on patient lesion data have been confirmed during semantic processing in healthy controls. Secondly, this new method has given rise to new research avenues, e.g. the detection of semantic processing outside of the temporal cortex. As a future line of work, the same research strategy could be useful to study neurological conditions such as the semantic variant of primary progressive aphasia, which is characterized by pathological semantic processing.
自从明确的语义模型问世以来，我们对大脑中概念表示的理解边界已经被重新划定。这些模型基于在健康志愿者中获得的大量行为数据集。在这里，我们回顾了在神经影像学数据中检测语义信息最常用的技术，并论证了为什么语义模型是近年来语义研究最有价值的补充。使用多元分析，基于患者病变数据的预测在健康对照者的语义处理过程中得到了验证。其次，这种新方法开辟了新的研究途径，例如在颞叶皮层之外检测语义处理。作为未来的工作方向，相同的研究策略可能有助于研究神经疾病，如原发性进行性失语症的语义变体，其特征是病理性语义处理。
