The FinnBrain multimodal neonatal template and atlas collection
The accurate processing of neonatal and infant brain MRI data is crucial for developmental neuroscience but presents unique challenges that child and adult data do not. Tissue segmentation and image coregistration accuracy can be improved by optimizing template images and related segmentation procedures. Here, we describe the construction of the FinnBrain Neonate (FBN-125) template, a multi-contrast template with T1- and T2-weighted, as well as diffusion tensor imaging-derived fractional anisotropy and mean diffusivity images. The template is symmetric, aligned to the Talairach-like MNI-152 template, and has high spatial resolution (0.5 mm³). Additionally, we provide atlas labels, constructed from manual segmentations, for cortical grey matter, white matter, cerebrospinal fluid, brainstem, cerebellum as well as the bilateral hippocampi, amygdalae, caudate nuclei, putamina, globi pallidi, and thalami. This multi-contrast template and labelled atlases aim to advance developmental neuroscience by achieving reliable means for spatial normalization and measures of neonate brain structure via automated computational methods. We also provide standard volumetric and surface co-registration files to enable investigators to transform their statistical maps to the adult MNI space, improving the consistency and comparability of neonatal studies or the use of adult MNI space atlases in neonatal neuroimaging.
Authors
- John D. Lewis (ORCID: https://orcid.org/0000-0002-0832-7396)
- Ilkka Suuronen
- Vladimir Fonov (ORCID: https://orcid.org/0000-0003-3402-7749)
- Elena Ukharova (ORCID: https://orcid.org/0000-0002-4178-9330)
- Isabella Lucia Chiara Mariani Wigley (ORCID: https://orcid.org/0000-0003-0958-5124)
- Ashmeet Jolly (ORCID: https://orcid.org/0009-0003-2348-7261)
- Aylin Rosberg (ORCID: https://orcid.org/0000-0002-4587-4882)
- Elmo P. Pulli (ORCID: https://orcid.org/0000-0003-3871-8563)
- Kristian Lidauer (ORCID: https://orcid.org/0000-0003-1389-2637)
- Jetro J. Tuulari (ORCID: https://orcid.org/0000-0002-1797-8000)
- Linnéa Karlsson (ORCID: https://orcid.org/0000-0002-4725-0176)
- Silja Luotonen (ORCID: https://orcid.org/0000-0002-5226-2286)
- D. Louis Collins (ORCID: https://orcid.org/0000-0002-8432-7021)
- Hasse Karlsson (ORCID: https://orcid.org/0000-0002-4992-1893)
- Wajiha Bano (ORCID: https://orcid.org/0000-0002-0602-5116)
- Harri Merisaari (ORCID: https://orcid.org/0000-0002-8515-5399)
- Elena Vartiainen (ORCID: https://orcid.org/0009-0005-3620-2506)
- Hilyatushalihah K. Audah (ORCID: https://orcid.org/0009-0003-5437-5561)
- Niloofar Hashempour (ORCID: https://orcid.org/0000-0002-5400-1960)
Institutions
- Montreal Neurological Institute and Hospital (CA)
- University of Turku (FI)
- Turku University of Applied Sciences (FI)
- Hospital for Sick Children (CA)
- Turku University Hospital (FI)
- Mental Health Research Canada (CA)
- Aalto University (FI)
Publication Details
- Journal
- Communications Biology
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1038/s42003-025-07963-7
- Citations
- 1
- Primary Topic
- Speech and dialogue systems
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- McGill University
- Aalto-Yliopisto
- Turun Yliopisto
- Hospital for Sick Children
- Turun Yliopistollinen Keskussairaala
- Sickkids Research Institute