MRC Cognition & Brain Sciences Unit, University of Cambridge, 15 Chaucer Road, Cambridge CB2 7EF, United Kingdom.
School of Psychology, University of Nottingham, Nottingham NG9 2RD, United Kingdom.
Cereb Cortex. 2022 Dec 8;32(24):5664-5681. doi: 10.1093/cercor/bhac044.
Decades of research have highlighted the importance of lateral parietal cortex (LPC) across a myriad of cognitive domains. Yet, the underlying function of LPC remains unclear. Two domains that have emphasized LPC involvement are semantic memory and episodic memory retrieval. From each domain, sophisticated functional models have been proposed, as well as the more domain-general assumption that LPC is engaged by any form of internally directed cognition (episodic/semantic retrieval being examples). Here we used a combination of functional magnetic resonance imaging, functional connectivity, and diffusion tensor imaging white-matter connectivity to show that (i) ventral LPC (angular gyrus [AG]) was positively engaged during episodic retrieval but disengaged during semantic memory retrieval and (ii) activity negatively varied with task difficulty in the semantic task whereas episodic activation was independent of difficulty. In contrast, dorsal LPC (intraparietal sulcus) showed domain general activation that was positively correlated with task difficulty. Finally, (iii) a dorsal-ventral and anterior-posterior gradient of functional and structural connectivity was found across the AG (e.g. mid-AG connected with episodic retrieval). We propose a unifying model in which LPC as a whole might share a common underlying neurocomputation (multimodal buffering) with variations in the emergent cognitive functions across subregions arising from differences in the underlying connectivity.
几十年来的研究强调了横向顶叶皮层(Lateral Parietal Cortex,LPC)在众多认知领域的重要性。然而,LPC 的潜在功能仍不清楚。两个强调 LPC 参与的领域是语义记忆和情景记忆检索。这两个领域都提出了复杂的功能模型,以及更具领域一般性的假设,即任何形式的内部定向认知(情景/语义检索是例子)都会涉及 LPC。在这里,我们使用功能磁共振成像、功能连接和弥散张量成像白质连接的组合,表明 (i) 腹侧 LPC(角回 [AG])在情景检索时被积极激活,但在语义记忆检索时被去激活;(ii) 在语义任务中,活动随任务难度的变化而负变化,而情景激活则与难度无关。相比之下,背侧 LPC(顶内沟)表现出与任务难度正相关的一般激活。最后,(iii) 在 AG 中发现了功能和结构连接的背腹侧和前后梯度(例如,中 AG 与情景检索相连)。我们提出了一个统一的模型,认为整个 LPC 可能共享一个共同的潜在神经计算(多模态缓冲),而亚区的新兴认知功能的变化则源于连接的差异。