Evaluation of fetal exposure to environmental noise using a computer-generated model
Acoustic noise can have profound effects on wellbeing, impacting the health of pregnant women and their fetus. Mounting evidence suggests neural memory traces are formed by auditory learning in utero. A better understanding of the fetal auditory environment is therefore critical to avoid exposure to damaging noise levels. Using anatomical data from MRI scans of pregnant patients ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>N</mml:mi> <mml:mo>=</mml:mo> <mml:mn>4</mml:mn></mml:math> ) from 24 weeks of gestation, we develop a computational model to quantify fetal exposure to acoustic field. We obtain acoustic transfer characteristics across the human audio range and pressure maps in transverse planes passing through the uterus at 5 kHz, 10 kHz and 20 kHz, showcasing multiple scattering and modal patterns. Our calculations show that the sound transmitted in utero is attenuated by as little as 6 dB below 1 kHz, confirming results from animal studies that the maternal abdomen and pelvis do not shelter the fetus from external noise.
Authors
- Pierre Gélat (ORCID: https://orcid.org/0000-0002-4462-2421)
- Elwin van ’t Wout (ORCID: https://orcid.org/0000-0002-9096-5054)
- Eric Jauniaux (ORCID: https://orcid.org/0000-0003-0925-7737)
- Andrew Melbourne (ORCID: https://orcid.org/0000-0001-7667-3947)
- Julian Henriques
- Anna Louise David (ORCID: https://orcid.org/0000-0002-0199-6140)
- Nada Mufti (ORCID: https://orcid.org/0000-0001-9839-8085)
- Aude Thibaut de Maisières
- Reza Haqshenas (ORCID: https://orcid.org/0000-0002-3082-0232)
Institutions
- University College Hospital (GB)
- Pontificia Universidad Católica de Chile (CL)
- King's College London (GB)
- SOAS University of London (GB)
- University College London (GB)
- Goldsmiths University of London (GB)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1038/s41467-025-58983-0
- Citations
- 3
- Primary Topic
- Noise Effects and Management
- Type
- article
- Field-Weighted Citation Impact
- 9.35
Funders
- National Institute for Health and Care Research
- University College London
- Agencia Nacional de Investigación y Desarrollo
- National Institutes of Health
- Medical Research Council
- Engineering and Physical Sciences Research Council
- Biotechnology and Biological Sciences Research Council