Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students
Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students
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DOI：
10.3389/fnins.2019.00248
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发表时间：
2019-03-21
影响因子：
4.3
通讯作者：
Campbell, Andrew T.
中科院分区：
文献类型：
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作者：
Huckins, Jeremy F.;daSilva, Alex W.;Campbell, Andrew T.
随着智能手机的使用在我们的社会中变得越来越普遍，抑郁症的发生率也在上升，特别是在年轻人中。智能手机使用模式的个体差异已被证明反映了潜在情感过程的个体差异，例如抑郁症Pang等人，2018年)。在目前的研究中，智能手机屏幕时间(例如，手机解锁持续时间)与膝下扣带回(SGCC)和腹内侧/眶前叶皮质(OFC)之间的静息功能连接(RSFC)之间存在正相关关系。SGCC是与抑郁和抗抑郁治疗反应有关的大脑区域，因此，手机使用量的增加与这些区域之间更强的连接有关。这一分类随后被用来限制随后的分析，在同一队列中寻找抑郁症状的个体差异，并在单独的队列中观察到部分重复。随后对昼夜节律一致性的指标进行了类似的分析，显示SGCC和OFC的连接性之间存在负相关关系。本文提供的数据和分析提供了相对简单的初步分析，复制并提供了将大脑功能活动和智能手机使用模式相结合的初步步骤，以更好地理解与心理健康相关的问题。智能手机是现代生活中普遍存在的一部分，来自智能手机的移动传感数据的使用有望成为精神健康诊断和神经科学研究的重要工具。
As smartphone usage has become increasingly prevalent in our society, so have rates of depression, particularly among young adults. Individual differences in smartphone usage patterns have been shown to reflect individual differences in underlying affective processes such as depression Pang et al., 2018). In the current study, a positive relationship was identified between smartphone screen time (e.g., phone unlock duration) and resting-state functional connectivity (RSFC) between the subgenual cingulate cortex (sgCC), a brain region implicated in depression and antidepressant treatment response, and regions of the ventromedial/orbitofrontal cortex (OFC), such that increased phone usage was related to stronger connectivity between these regions. This cluster was subsequently used to constrain subsequent analyses looking at individual differences in depressive symptoms in the same cohort and observed partial replication in a separate cohort. Similar analyses were subsequently performed on metrics of circadian rhythm consistency showing a negative relationship between connectivity of the sgCC and OFC. The data and analyses presented here provide relatively simplistic preliminary analyses which replicate and provide an initial step in combining functional brain activity and smartphone usage patterns to better understand issues related to mental health. Smartphones are a prevalent part of modern life and the usage of mobile sensing data from smartphones promises to be an important tool for mental health diagnostics and neuroscience research.