Enhancing Fetal Brain Imaging: ALPS-FMEG Technique Achieves Accurate Signal Extraction by Mitigating Movement Artifacts
ALPS-FMEG improves fetal brain signal extraction by addressing movement artifacts. This method supports robust fetal brain analysis and may be adaptable to future fMEG systems, including optically pumped magnetometers, enhancing prenatal neurophysiology and clinical research, though manual steps currently limit scalability and could be addressed via automation for broader practical use.
Authors
- Lorenzo Semeia (ORCID: https://orcid.org/0000-0002-2079-7147)
- Jürgen Dax
- Andreas L. Birkenfeld (ORCID: https://orcid.org/0000-0003-1407-9023)
- Alban Gallard (ORCID: https://orcid.org/0000-0003-1813-6902)
- Katrin Sippel (ORCID: https://orcid.org/0000-0003-4433-8938)
- Fabrice Wallois (ORCID: https://orcid.org/0000-0003-2928-5428)
- Joel Frohlich (ORCID: https://orcid.org/0000-0001-8382-4344)
- Amer Zaylaa (ORCID: https://orcid.org/0000-0001-7691-1327)
- Hubert Preissl
- Hari Eswaran
Institutions
- Inserm (FR)
- University Children's Hospital Tübingen (DE)
- Bernstein Center for Computational Neuroscience Tübingen (DE)
- Deutsches Diabetes-Zentrum e.V. (DE)
- German Center for Diabetes Research (DE)
- Clinical Science Institute (US)
- Heinrich Heine University Düsseldorf (DE)
- Université de Picardie Jules Verne (FR)
- University of Arkansas for Medical Sciences (US)
- University of Tübingen (DE)
Publication Details
- Journal
- Annals of Biomedical Engineering
- Published
- 2026-02-05
- DOI
- https://doi.org/10.1007/s10439-026-03977-2
- Primary Topic
- Neonatal and fetal brain pathology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft
- Agence Nationale de la Recherche
- Eberhard Karls Universität Tübingen
- Bundesministerium für Bildung und Forschung