Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Department of Psychiatry, Harvard Medical School, and Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, United States.
Elife. 2022 Sep 13;11:e78717. doi: 10.7554/eLife.78717.
Here, we follow the call to target measurement reliability as a key prerequisite for individual-level predictions in translational neuroscience by investigating (1) longitudinal reliability at the individual and (2) group level, (3) internal consistency and (4) response predictability across experimental phases. One hundred and twenty individuals performed a fear conditioning paradigm twice 6 months apart. Analyses of skin conductance responses, fear ratings and blood oxygen level dependent functional magnetic resonance imaging (BOLD fMRI) with different data transformations and included numbers of trials were conducted. While longitudinal reliability was rather limited at the individual level, it was comparatively higher for acquisition but not extinction at the group level. Internal consistency was satisfactory. Higher responding in preceding phases predicted higher responding in subsequent experimental phases at a weak to moderate level depending on data specifications. In sum, the results suggest that while individual-level predictions are meaningful for (very) short time frames, they also call for more attention to measurement properties in the field.
在这里,我们响应号召,将测量可靠性作为转化神经科学中个体水平预测的关键前提,通过研究(1)个体和(2)群体水平的纵向可靠性,(3)实验阶段的内部一致性和(4)反应可预测性。120 名个体在 6 个月的时间内进行了两次恐惧条件反射实验。我们对皮肤电导反应、恐惧评分和血氧水平依赖功能磁共振成像(BOLD fMRI)进行了分析,采用了不同的数据转换和包含的试验次数。虽然个体水平的纵向可靠性相当有限,但在群体水平上,获得阶段的可靠性相对较高,而不是消退阶段。内部一致性令人满意。在前一阶段反应较高的个体在后续实验阶段的反应也较高,这一预测的强度因数据规范而异,为弱到中等水平。总之,研究结果表明,虽然个体水平的预测在(非常)短的时间范围内有意义,但它们也需要更多地关注该领域的测量特性。