Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, New Jersey.
Department of Psychiatry and Behavioral Neurosciences, Cedars-Sinai Medical Center, Los Angeles, California.
J Neurophysiol. 2022 Jul 1;128(1):160-180. doi: 10.1152/jn.00106.2022. Epub 2022 Jun 15.
Functional imaging studies indicate that the insula encodes the salience of stimuli and deviations from expectations, signals that can mobilize cognitive resources and facilitate learning. However, there is no information about the physiological underpinnings of these phenomena beyond changing BOLD signals. To shed light on this question, we analyzed intracerebral local field potentials (LFPs) in five patients with epilepsy of both genders performing a virtual reality task that featured varying odds of monetary rewards and losses. Upon outcome disclosure, the anterior (but not the posterior) insula generated bursts of beta oscillations whose amplitudes were lower for neutral than positive and negative outcomes, consistent with a salience signal. Moreover, beta burst power was higher when outcomes deviated from expectations, whether the outcome was better or worse than expected, indicating that the insula provides an unsigned prediction error signal. Last, in relation to insular beta bursts, many higher-order cortical areas exhibited robust changes in LFP activity that ranged from spectrally nonspecific or differentiated increases in gamma power to bursts of beta activity that closely resembled the insular beta bursts themselves. Critically, the activity of these other cortical regions was more closely tied in time to insular bursts than task events, suggesting that they are associated with particularly significant cognitive phenomena. Overall, our findings suggest that the insula signals salience and prediction errors via amplitude modulations of beta bursts, which coincide with the near simultaneous recruitment of vast cortical territories. Functional imaging studies indicate that the anterior insula encodes salience and deviations from expectations. Beyond changing BOLD signals, however, the physiological underpinnings of these signals are unknown. By recording local field potentials in patients with epilepsy, we found that the anterior insula generates large bursts of beta oscillations whose amplitude is modulated by the salience of outcomes and deviations from expectations. Moreover, insular beta bursts coincide with the activation of many high-order cortical areas.
功能成像研究表明,脑岛对刺激的显著程度和对预期的偏差进行编码,这些信号可以调动认知资源并促进学习。然而,除了改变 BOLD 信号之外,关于这些现象的生理基础还没有信息。为了阐明这个问题,我们分析了 5 名男女癫痫患者的颅内局部场电位(LFPs),他们在一个虚拟现实任务中执行任务,该任务具有不同的货币奖励和损失概率。在结果披露时,前脑岛(而不是后脑岛)产生了β振荡的爆发,其幅度对于中性结果比对正性和负性结果低,与显著信号一致。此外,当结果偏离预期时,β爆发功率更高,无论是结果比预期好还是差,表明脑岛提供了未签名的预测误差信号。最后,与脑岛β爆发相关,许多高级皮质区域的 LFP 活动表现出强烈的变化,从频谱非特异性或伽马功率的差异增加到β活动的爆发,这些爆发与脑岛β爆发本身非常相似。关键是,这些其他皮质区域的活动与脑岛爆发的时间比任务事件更为紧密地联系在一起,表明它们与特别重要的认知现象有关。总的来说,我们的发现表明,脑岛通过β爆发的幅度调制来信号显著程度和预测误差,这与广泛皮质区域的近乎同时招募相吻合。功能成像研究表明,前脑岛对显著程度和对预期的偏差进行编码。然而,除了改变 BOLD 信号之外,这些信号的生理基础还不清楚。通过记录癫痫患者的局部场电位,我们发现前脑岛产生了大的β振荡爆发,其幅度由结果的显著程度和对预期的偏差来调节。此外,脑岛β爆发与许多高级皮质区域的激活同时发生。