ArticleFrontiers in neuroscience2019
Fusing Mobile Phone Sensing and Brain Imaging to Assess Depression in College Students.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05223777 (KINCISE™ Surgical Automated System in Total Hip Arthroplasty), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
KINCISE™ Surgical Automated System in Total Hip Arthroplasty (THA)
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neuroscience meets behavior: A systematic literature review on magnetic resonance imaging of the brain combined with real-world digital phenotyping.Human brain mapping · 2024Pooled it
- If I Had a Hammer: The Role of Automated Impactors in Transforming Total Hip Arthroplasty Procedures and Recovery.Arthroplasty today · 2026Article
- Environmental Exposure and Mental Health in Hong Kong: Protocol for a GPS- and Biosensor-Based Observational Study.JMIR research protocols · 2026Article
- Factors Influencing the Mental Health of First-Year College Students: Evidence from Digital Records of Daily Behaviors.Behavioral sciences (Basel, Switzerland) · 2025Article
- Wearable Technologies for Detecting Burnout and Well-Being in Health Care Professionals: Scoping Review.Journal of medical Internet research · 2024Article
- Mental health disturbance in preclinical medical students and its association with screen time, sleep quality, and depression during the COVID-19 pandemic.BMC psychiatry · 2024Article
- An evaluation tool for backbone extraction techniques in weighted complex networks.Scientific reports · 2023Article
- Predicting the presence of tinnitus using ecological momentary assessments.Scientific reports · 2023Article
- Neuroimaging the effects of smartphone (over-)use on brain function and structure-a review on the current state of MRI-based findings and a roadmap for future research.Psychoradiology · 2023Review
- Influencing factors, prediction and prevention of depression in college students: A literature review.World journal of psychiatry · 2022Review
- COVID-19 Aftermath: Exploring the Mental Health Emergency among Students at a Northern Italian University.International journal of environmental research and public health · 2022Article
- First-Gen Lens: Assessing Mental Health of First-Generation Students across Their First Year at College Using Mobile Sensing.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2022Article
- Emerging Artificial Intelligence-Empowered mHealth: Scoping Review.JMIR mHealth and uHealth · 2022Article
- On the Transition of Social Interaction from In-Person to Online: Predicting Changes in Social Media Usage of College Students during the COVID-19 Pandemic based on Pre-COVID-19 On-Campus Colocation.Proceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference) · 2021Article
- Mental Health and Behavior of College Students During the COVID-19 Pandemic: Longitudinal Mobile Smartphone and Ecological Momentary Assessment Study, Part II.Journal of medical Internet research · 2021Article
- Translating Interventional Neuroscience to Suicide: It's About Time.Biological psychiatry · 2021Review
- Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management.International journal of environmental research and public health · 2021Review
- On Blurry Boundaries When Defining Digital Biomarkers: How Much Biology Needs to Be in a Digital Biomarker?Frontiers in psychiatry · 2021Review
- Chinese College Students' Stress and Anxiety Levels Under COVID-19.Frontiers in psychiatry · 2021Article
- Mental Health and Behavior of College Students During the Early Phases of the COVID-19 Pandemic: Longitudinal Smartphone and Ecological Momentary Assessment Study.Journal of medical Internet research · 2020Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
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 (Wang 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.