Functional connectivity with distinct neural networks tracks fluctuations in gain/loss framing susceptibility.
Functional connectivity with distinct neural networks tracks fluctuations in gain/loss framing susceptibility.
复制标题
DOI：
10.1002/hbm.22804
复制
发表时间：
2015-07
影响因子：
4.8
通讯作者：
Delgado MR
中科院分区：
文献类型：
--
作者：
Smith DV;Sip KE;Delgado MR
多个大规模神经网络协调了广泛的认知过程。例如，与自我参照思维相关的内感受性过程与默认模式网络（DMN）相关联;而与认知控制相关的外感受性过程与执行控制网络（ECN）相关联。虽然DMN和ECN被假设对认知产生相反的影响，但目前尚不清楚这些空间重叠网络的连通性如何导致行为波动。虽然以前的工作表明内侧前额叶皮层（MPFC）参与反馈后的行为变化，但这些观察结果可能与DMN相关的内感受过程或ECN相关的外感受过程有关，因为MPFC位于两个网络中。为了解决这个问题，我们采用了独立成分分析结合双回归功能连接分析。参与者做出了一系列以金钱收益或损失为框架的财务决策。在一些会议中，参与者从观察他们选择的同伴那里得到反馈;在其他会议中，没有提供反馈。在反馈之后，框架可操作性--与收益框架相比，损失框架中赌博行为的增加被索引--在一些参与者中被提高，而在另一些参与者中被降低。我们通过对比包含反馈的会话与不包含反馈的会话，研究了这些个体差异是否与连接差异有关。我们发现了两个关键结果。随着框架敏感性的增加，MPFC与DMN的连接性增加;相反，颞顶交界处与ECN的连接性降低。我们的研究结果强调了不同神经网络的功能连接模式如何有助于特异性行为变化。
Multiple large-scale neural networks orchestrate a wide range of cognitive processes. For example, interoceptive processes related to self-referential thinking have been linked to the default-mode network (DMN); whereas exteroceptive processes related to cognitive control have been linked to the executive-control network (ECN). Although the DMN and ECN have been postulated to exert opposing effects on cognition, it remains unclear how connectivity with these spatially overlapping networks contribute to fluctuations in behavior. While previous work has suggested the medial prefrontal cortex (MPFC) is involved in behavioral change following feedback, these observations could be linked to interoceptive processes tied to DMN or exteroceptive processes tied to ECN because MPFC is positioned in both networks. To address this problem, we employed independent component analysis combined with dual-regression functional connectivity analysis. Participants made a series of financial decisions framed as monetary gains or losses. In some sessions, participants received feedback from a peer observing their choices; in other sessions, feedback was not provided. Following feedback, framing susceptibility—indexed as the increase in gambling behavior in loss frames compared to gain frames—was heightened in some participants and diminished in others. We examined whether these individual differences were linked to differences in connectivity by contrasting sessions containing feedback against those that did not contain feedback. We found two key results. As framing susceptibility increased, the MPFC increased connectivity with DMN; in contrast, temporal-parietal junction decreased connectivity with the ECN. Our results highlight how functional connectivity patterns with distinct neural networks contribute to idiosyncratic behavioral changes.