Çatal Yasir, Keskin Kaan, Wolman Angelika, Klar Philipp, Smith David, Northoff Georg
Mind, Brain Imaging and Neuroethics Research Unit, University of Ottawa, Ontario, ON, Canada.
University of Ottawa Institute of Mental Health Research, Ottawa, ON, Canada.
Commun Biol. 2024 Dec 19;7(1):1667. doi: 10.1038/s42003-024-07349-1.
Recent neuroimaging studies demonstrate a heterogeneity of timescales prevalent in the brain's ongoing spontaneous activity, labeled intrinsic neural timescales (INT). At the same time, neural timescales also reflect stimulus- or task-related activity. The relationship of the INT during the brain's spontaneous activity with their involvement in task states including behavior remains unclear. To address this question, we combined calcium imaging data of spontaneously behaving mice and human electroencephalography (EEG) during rest and task states with computational modeling. We obtained four primary findings: (i) the distinct behavioral states can be accurately predicted from INT, (ii) INT become longer during behavioral states compared to rest, (iii) INT change from rest to task is correlated negatively with the variability of INT during rest, (iv) neural mass modeling shows a key role of recurrent connections in mediating the rest-task change of INT. Extending current findings, our results show the dynamic nature of the brain's INT in reflecting continuous behavior through their flexible rest-task modulation possibly mediated by recurrent connections.
最近的神经影像学研究表明，大脑持续自发活动中普遍存在时间尺度的异质性，称为内在神经时间尺度（INT）。同时，神经时间尺度也反映了与刺激或任务相关的活动。大脑自发活动期间的INT与其在包括行为在内的任务状态中的参与之间的关系尚不清楚。为了解决这个问题，我们将自发行为小鼠的钙成像数据和人类在休息和任务状态下的脑电图（EEG）与计算模型相结合。我们获得了四个主要发现：（i）可以从INT准确预测不同的行为状态，（ii）与休息相比，行为状态下INT会变长，（iii）从休息到任务的INT变化与休息期间INT的变异性呈负相关，（iv）神经团块模型显示了循环连接在介导INT从休息到任务的变化中的关键作用。扩展当前的研究结果，我们的结果表明，大脑INT具有动态性质，通过其可能由循环连接介导的灵活的休息-任务调制来反映连续行为。
