Department of Rehabilitation Psychology, Daegu University, 201 Daegudae-ro, Gyeongsan-si, Gyeongsangbuk-do, 38453, Republic of Korea.
Neurosci Biobehav Rev. 2021 Jul;126:491-508. doi: 10.1016/j.neubiorev.2021.04.007. Epub 2021 Apr 12.
A network-level model of recollection-based recognition (R), familiarity-based recognition (F), and novelty recognition (N) was constructed, and its validity was evaluated through meta-analyses to produce an integrated view of neuroimaging data. The model predicted the following: (a) the overall magnitude of the frontoparietal control network (FPCN) activity (which supports retrieval and decision effort) is in the order of F > R > N; (b) that of the posterior medial temporal network (MTL) activity (which plays a direct role in retrieval) is in the order of R > N > F; (c) that of the anterior MTL activity (which supports novelty-encoding) is in the order of N > R > F; (d) that of the default mode network (DMN) activity (which supports the subjective experience of remembering) is in the order of R > N > F. The meta-analyses results were consistent with these predictions. Subsystem analysis indicated a functional dissociation between the cingulo-opercular vs. frontoparietal components of the FPCN and between the core vs. medial temporal components of the DMN.
构建了一个基于回忆的识别(R)、熟悉度识别(F)和新颖性识别(N)的网络水平模型,并通过元分析评估其有效性,以产生对神经影像学数据的综合看法。该模型预测如下:(a)额顶控制网络(FPCN)活动的整体幅度(支持检索和决策努力)的顺序为 F>R>N;(b)后内侧颞叶网络(MTL)活动的顺序为 R>N>F;(c)前内侧颞叶活动的顺序为 N>R>F;(d)默认模式网络(DMN)活动的顺序为 R>N>F。元分析结果与这些预测一致。子系统分析表明,FPCN 的扣带-顶叶成分与 DMN 的核心-内侧颞叶成分之间存在功能分离。