Construction and validation of a database of head models for functional imaging of the neonatal brain. Issue 3 (17th October 2020)

• Record Type: Journal Article
• Authors: Collins‐Jones, Liam H.; Arichi, Tomoki; Poppe, Tanya; Billing, Addison; Xiao, Jiaxin; Fabrizi, Lorenzo; Brigadoi, Sabrina; Hebden, Jeremy C.; Elwell, Clare E.; Cooper, Robert J.
• Is Part Of: Human brain mapping. Volume 42:Issue 3(2021)
• Page Start: 567
• Page End: 586
• Publication Date: 2020-10-17
• Subjects: atlas -- database -- neonatal -- structural prior; Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.25242
• Languages: English
• ISSNs: 1065-9471

Abstract

Abstract: The neonatal brain undergoes dramatic structural and functional changes over the last trimester of gestation. The accuracy of source localisation of brain activity recorded from the scalp therefore relies on accurate age‐specific head models. Although an age‐appropriate population‐level atlas could be used, detail is lost in the construction of such atlases, in particular with regard to the smoothing of the cortical surface, and so such a model is not representative of anatomy at an individual level. In this work, we describe the construction of a database of individual structural priors of the neonatal head using 215 individual‐level datasets at ages 29–44 weeks postmenstrual age from the Developing Human Connectome Project. We have validated a method to segment the extra‐cerebral tissue against manual segmentation. We have also conducted a leave‐one‐out analysis to quantify the expected spatial error incurred with regard to localising functional activation when using a best‐matching individual from the database in place of a subject‐specific model; the median error was calculated to be 8.3 mm (median absolute deviation 3.8 mm). The database can be applied for any functional neuroimaging modality which requires structural data whereby the physical parameters associated with that modality vary with tissue type and is freely available at www.ucl.ac.uk/dot-hub . Abstract : When no subject‐specific structural data are available, the accuracy of source localisation of brain activity recorded from the scalp relies on accurate age‐specific head models. In this work, we describe the construction of a database of individual structural priors of the neonatal head using 215 individual‐level datasets at ages 29–44 weeks postmenstrual age from the Developing Human Connectome Project. We also present the results of a leave‐one‐out analysis to validate the accuracy of using a matched model from the database in place of a subject‐specific model.