Literature DB >> 24862070

Anatomical correlations of the international 10-20 sensor placement system in infants.

C Kabdebon1, F Leroy1, H Simmonet1, M Perrot2, J Dubois1, G Dehaene-Lambertz3.   

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).
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain; Cognition; Development; EEG; NIRS; Source modelling

Mesh:

Year:  2014        PMID: 24862070     DOI: 10.1016/j.neuroimage.2014.05.046

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  34 in total

1.  Methodology for high-yield acquisition of functional near-infrared spectroscopy data from alert, upright infants.

Authors:  James R Goodwin; Ashley E Cannaday; Holly G Palmeri; Aldo Di Costanzo; Lauren L Emberson; Richard N Aslin; Andrew J Berger
Journal:  Neurophotonics       Date:  2016-07-28       Impact factor: 3.593

2.  Estimating brain effective connectivity from EEG signals of patients with autism disorder and healthy individuals by reducing volume conduction effect.

Authors:  Fatemeh Salehi; Mehrad Jaloli; Robert Coben; Ali Motie Nasrabadi
Journal:  Cogn Neurodyn       Date:  2021-11-02       Impact factor: 3.473

3.  Cortical responses to shape-from-motion stimuli in the infant.

Authors:  Amy Hirshkowitz; Marisa Biondi; Teresa Wilcox
Journal:  Neurophotonics       Date:  2017-10-11       Impact factor: 3.593

4.  Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group.

Authors:  Susan D Shenkin; Cyril Pernet; Thomas E Nichols; Jean-Baptiste Poline; Paul M Matthews; Aad van der Lugt; Clare Mackay; Linda Lanyon; Bernard Mazoyer; James P Boardman; Paul M Thompson; Nick Fox; Daniel S Marcus; Aziz Sheikh; Simon R Cox; Devasuda Anblagan; Dominic E Job; David Alexander Dickie; David Rodriguez; Joanna M Wardlaw
Journal:  Neuroimage       Date:  2017-02-14       Impact factor: 6.556

Review 5.  A neural window on the emergence of cognition.

Authors:  Rhodri Cusack; Gareth Ball; Christopher D Smyser; Ghislaine Dehaene-Lambertz
Journal:  Ann N Y Acad Sci       Date:  2016-05-10       Impact factor: 5.691

6.  Spatiotemporal neurodynamics of automatic temporal expectancy in 9-month old infants.

Authors:  Giovanni Mento; Eloisa Valenza
Journal:  Sci Rep       Date:  2016-11-04       Impact factor: 4.379

7.  Correlating functional near-infrared spectroscopy with underlying cortical regions of 0-, 1-, and 2-year-olds using theoretical light propagation analysis.

Authors:  Lin Cai; Eiji Okada; Yasuyo Minagawa; Hiroshi Kawaguchi
Journal:  Neurophotonics       Date:  2021-05-31       Impact factor: 3.593

8.  Variability in Infants' Functional Brain Network Connectivity Is Associated With Differences in Affect and Behavior.

Authors:  Caroline M Kelsey; Katrina Farris; Tobias Grossmann
Journal:  Front Psychiatry       Date:  2021-06-09       Impact factor: 4.157

9.  Parcellation of the Healthy Neonatal Brain into 107 Regions Using Atlas Propagation through Intermediate Time Points in Childhood.

Authors:  Manuel Blesa; Ahmed Serag; Alastair G Wilkinson; Devasuda Anblagan; Emma J Telford; Rozalia Pataky; Sarah A Sparrow; Gillian Macnaught; Scott I Semple; Mark E Bastin; James P Boardman
Journal:  Front Neurosci       Date:  2016-05-19       Impact factor: 4.677

10.  Multivariate Neural Connectivity Patterns in Early Infancy Predict Later Autism Symptoms.

Authors:  Abigail Dickinson; Manjari Daniel; Andrew Marin; Bilwaj Gaonkar; Mirella Dapretto; Nicole M McDonald; Shafali Jeste
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-06-13
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.