Smartphone Keystroke Biomarkers as Predictors of Adverse Neuropsychiatric Sequelae After Trauma in Trauma Survivors: Prospective Observational Cohort Study - Report - MDSpire

Smartphone Keystroke Biomarkers as Predictors of Adverse Neuropsychiatric Sequelae After Trauma in Trauma Survivors: Prospective Observational Cohort Study

  • By

  • Nicole A Short

  • Xinming An

  • Yinyao Ji

  • Qinghua Li

  • Thomas C Neylan

  • Gari D Clifford

  • Stacey L House

  • Francesca L Beaudoin

  • Jennifer S Stevens

  • Sarah D Linnstaedt

  • Laura T Germine

  • John P Haran

  • Alan B Storrow

  • Christopher Lewandowski

  • Paul I Musey Jr

  • Phyllis L Hendry

  • Sophia Sheikh

  • Christopher W Jones

  • Brittany E Punches

  • Jose L Pascual

  • Mark J Seamon

  • Erica Harris

  • Claire Pearson

  • Roland C Merchant

  • Robert M Domeier

  • Niels K Rathlev

  • Brian J O'Neil

  • Paulina Sergot

  • Leon D Sanchez

  • Steven E Bruce

  • Ronald C Kessler

  • Karestan C Koenen

  • Kerry J Ressler

  • Samuel A McLean

  • June 1, 2026

  • 0 min

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Clinical Report: Utilizing Smartphone Keystroke Biomarkers to Forecast Negative Neuropsychiatric Outcomes Following Trauma

Overview

This study investigates the use of smartphone keystroke data to predict adverse posttraumatic neuropsychiatric symptoms (APNSs) in trauma survivors. The findings suggest that keystroke behavior can serve as a potential biomarker for identifying individuals at risk for APNSs following trauma exposure.

Background

Traumatic stressors are prevalent, with a significant portion of individuals experiencing adverse neuropsychiatric symptoms post-trauma. Early identification of at-risk individuals is crucial for timely intervention, which can mitigate long-term suffering. The integration of smartphone technology in monitoring keystroke behavior presents a novel approach to predicting APNSs in a diverse population of trauma survivors.

Data Highlights

No numerical data or trial data provided in the source material.

Key Findings

  • Keystroke behavior data can help identify individuals at risk for APNSs after trauma exposure.
  • The study focuses on a socioeconomically and racially diverse population of trauma survivors.
  • APNSs assessed include pain, reexperiencing, avoidance, hyperarousal, and sleep disturbances.
  • Changes in keystroke behavior may predict worsening or recovery from APNSs over time.
  • Research Domain Criteria-defined APNSs were evaluated within 8 weeks post-trauma.

Clinical Implications

The findings indicate that smartphone keystroke data could be utilized as a screening tool for identifying trauma survivors at risk for developing APNSs. This approach may facilitate timely interventions and improve access to care for vulnerable populations.

Conclusion

The study highlights the potential of smartphone keystroke biomarkers in predicting neuropsychiatric outcomes following trauma, paving the way for future research in digital health applications for mental health monitoring.

Related Resources & Content

  1. Frontiers in Psychiatry, 2026 -- Feasibility of smartphone app-based neuropsychological tasks for screening people with subclinical depression and anxiety: a preliminary validation study
  2. Frontiers in Digital Health, 2026 -- Evaluating Verbal and Spatial Memory Using Smartphone Technology
  3. npj Digital Medicine, 2025 -- Smartphone-based prediction of dopaminergic deficit in prodromal and manifest Parkinson’s disease
  4. VA/DoD Clinical Practice Guideline for PTSD, 2023 -- Management of Posttraumatic Stress Disorder and Acute Stress Disorder
  5. The AURORA Study, 2025 -- A Longitudinal, Multimodal Library of Brain Biology and Function after Traumatic Stress Exposure
  6. Frontiers in Neurology — Identifying key predictors of post-stroke depression and cognitive impairment in acute stroke survivors
  7. VA/DoD CLINICAL PRACTICE
  8. The AURORA Study: A Longitudinal, Multimodal Library of Brain Biology and Function after Traumatic Stress Exposure - PMC
  9. Smartphone keyboard dynamics predict affect in suicidal ideation | npj Digital Medicine

Original Source(s)

Smartphone Keystroke Biomarkers as Predictors of Adverse Neuropsychiatric Sequelae After Trauma in Trauma Survivors: Prospective Observational Cohort Study

  • by Nicole A Short, Xinming An, Yinyao Ji, Qinghua Li, Thomas C Neylan, Gari D Clifford, Stacey L House, Francesca L Beaudoin, Jennifer S Stevens, Sarah D Linnstaedt, Laura T Germine, John P Haran, Alan B Storrow, Christopher Lewandowski, Paul I Musey Jr, Phyllis L Hendry, Sophia Sheikh, Christopher W Jones, Brittany E Punches, Jose L Pascual, Mark J Seamon, Erica Harris, Claire Pearson, Roland C Merchant, Robert M Domeier, Niels K Rathlev, Brian J O'Neil, Paulina Sergot, Leon D Sanchez, Steven E Bruce, Ronald C Kessler, Karestan C Koenen, Kerry J Ressler, Samuel A McLean

  • June 1, 2026

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