# Electronic Cigarettes During Pregnancy: Impact on Fetal Development

> **NIH NIH R01** · MIRIAM HOSPITAL · 2021 · $14,750

## Abstract

PROJECT SUMMARY/ABSTRACT
In order to investigate Aim 3) fetal neurobehavioral development of the parent grant “Electronic Ciga-
rettes During Pregnancy: Impact on Fetal Development” (R01 DA 045492), the proposed administrative
supplement to this parent grant would allow the awarded undergraduate research student (Cyrena Mat-
ingou) an opportunity to develop psychology related coding skills by utilizing The Fetal Neurobehav-
ioral Coding System (FENS). The FENS coding system was developed by MPI Salisbury and incorporates
observational data from real-time ultrasound with fetal heart rate and activity data from fetal actocardiography.
The FENS was designed to reveal deficits in high-risk and substance-exposed fe-tuses201-204 and has been
utilized by our group to study fetuses exposed to maternal depression, substance use, psychotropic medica-
tions and conventional cig exposure. In the parent study, we will utilize the FENS to investigate neurobehav-
ioral responses to a novel voice stimuli (mother vs stranger) paradigm. Overall, this internship offers students
meaningful knowledge and experience in biobehavioral research that may be carried on throughout their un-
dergraduate and postgraduate studies and beyond.

## Key facts

- **NIH application ID:** 10403818
- **Project number:** 3R01DA045492-04S1
- **Recipient organization:** MIRIAM HOSPITAL
- **Principal Investigator:** LAURA R STROUD
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $14,750
- **Award type:** 3
- **Project period:** 2018-08-15 → 2024-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10403818

## Citation

> US National Institutes of Health, RePORTER application 10403818, Electronic Cigarettes During Pregnancy: Impact on Fetal Development (3R01DA045492-04S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10403818. Licensed CC0.

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