Department of Computer Science, School of Science, Aalto University, Espoo, Finland.
Department of Neuroscience and Biomedical Engineering, School of Science, Aalto University, Espoo, Finland.
PLoS Biol. 2024 Oct 8;22(10):e3002797. doi: 10.1371/journal.pbio.3002797. eCollection 2024 Oct.
Our behavior and mental states are constantly shaped by our environment and experiences. However, little is known about the response of brain functional connectivity to environmental, physiological, and behavioral changes on different timescales, from days to months. This gives rise to an urgent need for longitudinal studies that collect high-frequency data. To this end, for a single subject, we collected 133 days of behavioral data with smartphones and wearables and performed 30 functional magnetic resonance imaging (fMRI) scans measuring attention, memory, resting state, and the effects of naturalistic stimuli. We find traces of past behavior and physiology in brain connectivity that extend up as far as 15 days. While sleep and physical activity relate to brain connectivity during cognitively demanding tasks, heart rate variability and respiration rate are more relevant for resting-state connectivity and movie-watching. This unique data set is openly accessible, offering an exceptional opportunity for further discoveries. Our results demonstrate that we should not study brain connectivity in isolation, but rather acknowledge its interdependence with the dynamics of the environment, changes in lifestyle, and short-term fluctuations such as transient illnesses or restless sleep. These results reflect a prolonged and sustained relationship between external factors and neural processes. Overall, precision mapping designs such as the one employed here can help to better understand intraindividual variability, which may explain some of the observed heterogeneity in fMRI findings. The integration of brain connectivity, physiology data and environmental cues will propel future environmental neuroscience research and support precision healthcare.
我们的行为和心理状态不断受到环境和经历的塑造。然而,对于大脑功能连接对不同时间尺度(从几天到几个月)的环境、生理和行为变化的反应,我们知之甚少。这就迫切需要进行收集高频数据的纵向研究。为此,我们针对单个研究对象,使用智能手机和可穿戴设备收集了 133 天的行为数据,并进行了 30 次功能性磁共振成像(fMRI)扫描,以测量注意力、记忆力、静息状态以及自然刺激的影响。我们发现,大脑连接中存在过去行为和生理的痕迹,可以追溯到 15 天前。虽然睡眠和身体活动与认知任务期间的大脑连接有关,但心率变异性和呼吸率与静息状态连接和观看电影更为相关。这个独特的数据集是公开可用的,为进一步的发现提供了绝佳的机会。我们的研究结果表明,我们不应该孤立地研究大脑连接,而应该承认它与环境动态、生活方式变化以及短暂疾病或睡眠不安等短期波动之间的相互依存关系。这些结果反映了外部因素和神经过程之间的持久和持续关系。总的来说,像这里所采用的精确映射设计可以帮助更好地理解个体内变异性,这可能解释了 fMRI 发现中的一些异质性。大脑连接、生理数据和环境线索的整合将推动未来的环境神经科学研究,并为精准医疗提供支持。