Functional specialization of parallel distributed networks revealed by analysis of trial-to-trial variation in processing demands.
Functional specialization of parallel distributed networks revealed by analysis of trial-to-trial variation in processing demands.
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DOI：
10.1152/jn.00211.2022
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发表时间：
2023-01-01
影响因子：
2.5
通讯作者：
中科院分区：
文献类型：
--
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多个大规模网络填充人类关联皮层。在这里，我们探索了这些网络的功能特性，通过利用组件处理需求的试验到试验的变化。在两项行为研究（n = 136和n = 238）中，参与者量化了用于解决跨越记忆，想象未来情景和各种控制试验的个人任务试验的策略。这些试验也都是在功能性MRI参与者的独立样本（n = 10）中进行扫描的，每个样本都有足够的数据来精确定义个体内网络。稳定的潜在因素在不同的试验和相关的试验水平的功能反应，选择性地在网络上。一个与海马旁皮质相连的网络，标记为默认网络A（DN-A），跟踪场景构建，包括具有最小情景记忆需求的对照试验。在一定程度上，试验鼓励参与者构建一个具有图像和对物体或地点空间位置的意识的心理场景，DN-A的反应增加。并列默认网络B（DN-B）没有表现出这样的反应，但不同的社会加工需求。另一个相邻的网络，标记为额顶网络B（FPN-B），与试验难度密切相关。这些结果支持DN-A和DN-B是在空间和社会领域内差异支持信息处理的专门网络。这两个网络都与一个紧密并列的跟踪认知努力的领域一般控制网络无关。新的和值得注意的任务显示，差异招募平行联想网络是多方面的，留下了关于网络过程的开放问题。在这里，检查试验到试验的网络响应特性与试验特征的关系揭示了对网络功能的新见解。特别是，与场景构建相关的过程选择性地招募了一个与海马旁和压后皮质相关的分布式网络，包括在设计不依赖于个人过去的试验期间。相邻网络显示出不同的模式，提供了新的证据功能专业化。
Multiple large-scale networks populate human association cortex. Here, we explored the functional properties of these networks by exploiting trial-to-trial variation in component-processing demands. In two behavioral studies (n = 136 and n = 238), participants quantified strategies used to solve individual task trials that spanned remembering, imagining future scenarios, and various control trials. These trials were also all scanned in an independent sample of functional MRI participants (n = 10), each with sufficient data to precisely define within-individual networks. Stable latent factors varied across trials and correlated with trial-level functional responses selectively across networks. One network linked to parahippocampal cortex, labeled Default Network A (DN-A), tracked scene construction, including for control trials that possessed minimal episodic memory demands. To the degree, a trial encouraged participants to construct a mental scene with imagery and awareness about spatial locations of objects or places, the response in DN-A increased. The juxtaposed Default Network B (DN-B) showed no such response but varied in relation to social processing demands. Another adjacent network, labeled Frontoparietal Network B (FPN-B), robustly correlated with trial difficulty. These results support that DN-A and DN-B are specialized networks differentially supporting information processing within spatial and social domains. Both networks are dissociable from a closely juxtaposed domain-general control network that tracks cognitive effort. NEW & NOTEWORTHY Tasks shown to differentially recruit parallel association networks are multifaceted, leaving open questions about network processes. Here, examining trial-to-trial network response properties in relation to trial traits reveals new insights into network functions. In particular, processes linked to scene construction selectively recruit a distributed network with links to parahippocampal and retrosplenial cortices, including during trials designed not to rely on the personal past. Adjacent networks show distinct patterns, providing novel evidence of functional specialization.
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