# High-density markers of mother-infant bio-behavioral activity "in the wild": Developing a mobile-sensing paradigm to examine transmission of mental health risks

> **NIH NIH K01** · UNIVERSITY OF TEXAS AT AUSTIN · 2021 · $118,352

## Abstract

Project Summary
Major theories of socioemotional development suggest that adaptive patterns of self-regulation reflect the
accumulation of thousands of individual daily experiences of distress. In particular, parents’ efforts to regulate
their infants’ distress are thought to provide critical inputs to developing self-regulation skills. Factors affecting
caregiving, such as caregiver stress or mood disorders, are thought to limit parents’ ability to provide this early
support. Thus, early-emerging patterns of mother-infant interaction are theorized to be an important
mechanism by which mental health risks are transmitted from caregivers to their children. However, empirical
evidence for these theories are scarce, as it has not been possible to systematically capture episodes of
distress as they occur in day-to-day mother and infant activity. Additionally, most studies cannot disentangle
complex interactions between infant and maternal psychobiological factors. For example, highly fussy infants
are more likely to stress and overwhelm their parents, thereby likely affecting parental regulation efforts and
potentially exacerbating their own early biological predispositions.
Datasets capturing the details of daily interactions between mothers and their infants are needed to access the
basic bio-behavioral mechanisms of developing psychopathology risk. In the future, such rich datasets could
also provide a foundation for emerging “just in time” interventions that could provide mothers with real-time
support and reassurance during day-to-day activities. To thus advance the field of developmental
psychopathology, this proposal will leverage emerging “wearable” or mobile-sensor technologies to capture
episodes of infant distress and subsequent maternal regulation efforts as they occur in the typical day-to-day
activities of infants and their mothers.
The research aims of this proposal are 1) to develop a mobile-sensing platform that will automatically detect
detailed markers of mother-infant distress-related activity as participants go about their daily lives, captured via
a synchronized suite of “wearable” physiology, audio and proximity sensors, and once validated, to use this
platform to 2) investigate the daily mechanisms of maladaptive mother-infant interaction dynamics
The training goals of this proposal are to 1) develop my expertise with state-of-the art computational tools to
study mother-infant activity in the “wild”, allowing me unprecedented access to the dynamic processes of bio-
behavioral development, and 2) to provide me the opportunity bridge my work to the domain of developmental
psychopathology. The proposed K01 is thus a key step in my goal to develop a research program that can
harness the rich dynamics of day-to-day activity to support theoretically-driven clinical innovations.

## Key facts

- **NIH application ID:** 9981015
- **Project number:** 5K01MH111957-04
- **Recipient organization:** UNIVERSITY OF TEXAS AT AUSTIN
- **Principal Investigator:** Kaya de Barbaro
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $118,352
- **Award type:** 5
- **Project period:** 2017-08-16 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9981015

## Citation

> US National Institutes of Health, RePORTER application 9981015, High-density markers of mother-infant bio-behavioral activity "in the wild": Developing a mobile-sensing paradigm to examine transmission of mental health risks (5K01MH111957-04). Retrieved via AI Analytics 2026-06-01 from https://api.ai-analytics.org/grant/nih/9981015. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*