Gandarillas Miguel Ángel, Goswami Nandu
Department of Social, Work, and Differential Psychology, School of Psychology, Complutense University of Madrid, Campus de Somosagua, Ctra. de Húmera, s/n, Pozuelo de Alarcón, 28223 Madrid, Spain.
Physiology Division, Otto Loewi Center of Vascular Biology, Immunity and Inflammation, Medical University of Graz, 8036 Graz, Austria.
J Clin Med. 2022 Jul 4;11(13):3869. doi: 10.3390/jcm11133869.
This study analyzed the individual differences in hemodynamic time patterns and reactivity to cognitive and emotional tasks, and explored the diversity of psycho-physiological profiles that could be used for the personalized prediction of different diseases. An analysis of heart rate (HR)-blood pressure (BP) relationship patterns across time using cross-correlations (CCs) during a logical-mathematical task and a task recalling negative emotions (rumination) was carried out in a laboratory setting on 45 participants. The results showed maximum HR-BP CCs during the mathematical task significantly more positive than the maximum HR-BP CCs during the rumination task. Furthermore, our results showed a large variety of hemodynamic reactivity profiles across the participants, even when carrying out the same tasks. The most frequent type showed positive HR-BP CCs under cognitive activity, and several positive-negative HR-BP CCs cycles under negative emotional activity. In general terms, our results supported the main hypothesis. We observed some distinct time-based "coordination strategies" in the reactivity of the autonomic nervous system under emotional vs. cognitive loading. Overall, large individual, as well as situational, specificities in hemodynamic reactivity time patterns were seen. The possible relationships between this variety of profiles and different psychosocial characteristics, and the potential for integrative predictive health within the provision of highly personalized medicine, are discussed.
本研究分析了血流动力学时间模式以及对认知和情感任务反应性的个体差异，并探索了可用于不同疾病个性化预测的心理生理特征的多样性。在实验室环境中，对45名参与者在进行逻辑数学任务和回忆负面情绪（沉思）任务期间，使用互相关（CC）分析心率（HR）与血压（BP）随时间的关系模式。结果显示，数学任务期间的最大HR-BP CC显著比沉思任务期间的最大HR-BP CC更正向。此外，我们的结果表明，即使在执行相同任务时，参与者之间的血流动力学反应性特征也多种多样。最常见的类型在认知活动下显示出正向的HR-BP CC，在负面情绪活动下显示出几个正负HR-BP CC周期。总体而言，我们的结果支持了主要假设。我们在情绪与认知负荷下自主神经系统的反应性中观察到了一些基于时间的不同“协调策略”。总体而言，在血流动力学反应性时间模式中观察到了较大的个体以及情境特异性。讨论了这种多样的特征与不同心理社会特征之间的可能关系，以及在提供高度个性化医疗中进行综合预测健康的潜力。
