title: Anatomical correlations of the international 10-20 sensor placement system in infants.
abstract: Developmental research, as well as paediatric clinical activity crucially depends on non-invasive and painless brain recording techniques, such as electroencephalography (EEG), and near infrared spectroscopy (NIRS). However, both of these techniques measure cortical activity from the scalp without precise knowledge of the recorded cerebral structures. An accurate and reliable mapping between external anatomical landmarks and internal cerebral structures is therefore fundamental to localise brain sources in a non-invasive way. Here, using MRI, we examined the relations between the 10-20 sensor placement system and cerebral structures in 16 infants (3-17 weeks post-term). We provided an infant template parcelled in 94 regions on which we reported the variability of sensors locations, concurrently with the anatomical variability of six main cortical sulci (superior and inferior frontal sulcus, central sulcus, sylvian fissure, superior temporal sulcus, and intraparietal sulcus) and of the distances between the sensors and important cortical landmarks across these infants. The main difference between infants and adults was observed for the channels O1-O2, T5-T6, which projected over lower structures than in adults. We did not find any asymmetry in the distances between the scalp and the brain envelope. However, because of the Yakovlean torque pushing dorsally and frontally the right sylvian fissure, P3-P4 were not at the same distance from the posterior end of this structure. This study should help to refine hypotheses on functional cognitive development by providing an accurate description of the localization of standardised channels relative to infants' brain structures. Template and atlas are publicly available on our Web site (http://www.unicog.org/pm/pmwiki.php/Site/InfantTemplate).
authors.affiliation: INSERM, U992, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France; CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif/Yvette, France; University Paris-Sud, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France.
authors.forename: C
authors.initials: C
authors.lastname: Kabdebon
authors.affiliation: INSERM, U992, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France; CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif/Yvette, France; University Paris-Sud, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France.
authors.forename: F
authors.initials: F
authors.lastname: Leroy
authors.affiliation: INSERM, U992, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France; CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif/Yvette, France; University Paris-Sud, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France.
authors.forename: H
authors.initials: H
authors.lastname: Simmonet
authors.affiliation: CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif/Yvette, France.
authors.forename: M
authors.initials: M
authors.lastname: Perrot
authors.affiliation: INSERM, U992, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France; CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif/Yvette, France; University Paris-Sud, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France.
authors.forename: J
authors.initials: J
authors.lastname: Dubois
authors.affiliation: INSERM, U992, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France; CEA, DSV/I2BM, NeuroSpin Center, F-91191 Gif/Yvette, France; University Paris-Sud, Cognitive Neuroimaging Unit, F-91191 Gif/Yvette, France. Electronic address: ghislaine.dehaene@cea.fr.
authors.forename: G
authors.initials: G
authors.lastname: Dehaene-Lambertz
mesh_terms: D000328:Adult; D059925:Anatomic Landmarks; D001271:Atlases as Topic; D001921:Brain / Q000033:anatomy & histology; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000033:anatomy & histology; D004566:Electrodes; D004569:Electroencephalography / Q000592:standards*; D005260:Female; D006801:Humans; D007206:Individuality; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D059906:Neuroimaging / Q000592:standards; D012015:Reference Standards; D012535:Scalp / Q000033:anatomy & histology*
keywords: Brain; Cognition; Development; EEG; NIRS; Source modelling