Literature DB >> 23246993

Spatial patterning of the neonatal EEG suggests a need for a high number of electrodes.

Maryam Odabaee1, Walter J Freeman, Paul B Colditz, Ceon Ramon, Sampsa Vanhatalo.   

Abstract

There is an increasing demand for source analysis of neonatal EEG, but currently there is inadequate knowledge about i) the spatial patterning of neonatal scalp EEG and hence ii) the number of electrodes needed to capture neonatal EEG in full spatial detail. This study addresses these issues by using a very high density (2.5mm interelectrode spacing) linear electrode array to assess the spatial power spectrum, by using a high density (64 electrodes) EEG cap to assess the spatial extent of the common oscillatory bouts in the neonatal EEG and by using a neonatal size spherical head model to assess the effects of source depth and skull conductivities on the spatial frequency spectrum. The linear array recordings show that the spatial power spectrum decays rapidly until about 0.5-0.8 cycles per centimeter. The dense array EEG recordings show that the amplitude of oscillatory events decays within 4-6 cm to the level of global background activity, and that the higher frequencies (12-20 Hz) show the most rapid spatial decline in amplitude. Simulation with spherical head model showed that realistic variation in skull conductivity and source depths can both introduce orders of magnitude difference in the spatial frequency of the scalp EEG. Calculation of spatial Nyquist frequencies from the spatial power spectra suggests that an interelectrode distance of about 6-10mm would suffice to capture the full spatial texture of the raw EEG signal at the neonatal scalp without spatial aliasing or under-sampling. The spatial decay of oscillatory events suggests that a full representation of their spatial characteristics requires an interelectrode distance of 10-20mm. The findings show that the conventional way of recording neonatal EEG with about 10 electrodes ignores most spatial EEG content, that increasing the electrode density is necessary to improve neonatal EEG source localization and information extraction, and that prospective source models will need to carefully consider the neonatally relevant ranges of tissue conductivities and source depths when source localizing cortical activity in neonates.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23246993     DOI: 10.1016/j.neuroimage.2012.11.062

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


  9 in total

1.  Plasticity of neonatal neuronal networks in very premature infants: Source localization of temporal theta activity, the first endogenous neural biomarker, in temporoparietal areas.

Authors:  L Routier; M Mahmoudzadeh; M Panzani; H Azizollahi; S Goudjil; G Kongolo; F Wallois
Journal:  Hum Brain Mapp       Date:  2017-01-23       Impact factor: 5.038

2.  Forward and inverse electroencephalographic modeling in health and in acute traumatic brain injury.

Authors:  Andrei Irimia; S Y Matthew Goh; Carinna M Torgerson; Micah C Chambers; Ron Kikinis; John D Van Horn
Journal:  Clin Neurophysiol       Date:  2013-06-06       Impact factor: 3.708

3.  Early development of synchrony in cortical activations in the human.

Authors:  N Koolen; A Dereymaeker; O Räsänen; K Jansen; J Vervisch; V Matic; G Naulaers; M De Vos; S Van Huffel; S Vanhatalo
Journal:  Neuroscience       Date:  2016-02-11       Impact factor: 3.590

4.  Very high density EEG elucidates spatiotemporal aspects of early visual processing.

Authors:  Amanda K Robinson; Praveen Venkatesh; Matthew J Boring; Michael J Tarr; Pulkit Grover; Marlene Behrmann
Journal:  Sci Rep       Date:  2017-11-24       Impact factor: 4.379

5.  Use of eye tracking improves the detection of evoked responses to complex visual stimuli during EEG in infants.

Authors:  Eero Ahtola; Susanna Stjerna; Nathan Stevenson; Sampsa Vanhatalo
Journal:  Clin Neurophysiol Pract       Date:  2017-03-21

6.  Stability of neuronal avalanches and long-range temporal correlations during the first year of life in human infant.

Authors:  Mostafa Jannesari; Alireza Saeedi; Marzieh Zare; Silvia Ortiz-Mantilla; Dietmar Plenz; April A Benasich
Journal:  Brain Struct Funct       Date:  2019-07-02       Impact factor: 3.270

Review 7.  Associations among family socioeconomic status, EEG power at birth, and cognitive skills during infancy.

Authors:  Natalie H Brito; William P Fifer; Michael M Myers; Amy J Elliott; Kimberly G Noble
Journal:  Dev Cogn Neurosci       Date:  2016-03-14       Impact factor: 6.464

8.  Stability of neuronal avalanches and long-range temporal correlations during the first year of life in human infants.

Authors:  Mostafa Jannesari; Alireza Saeedi; Marzieh Zare; Silvia Ortiz-Mantilla; Dietmar Plenz; April A Benasich
Journal:  Brain Struct Funct       Date:  2020-02-24       Impact factor: 3.270

9.  Characterization of the Functional Dynamics in the Neonatal Brain during REM and NREM Sleep States by means of Microstate Analysis.

Authors:  Mohammad Khazaei; Khadijeh Raeisi; Pierpaolo Croce; Gabriella Tamburro; Anton Tokariev; Sampsa Vanhatalo; Filippo Zappasodi; Silvia Comani
Journal:  Brain Topogr       Date:  2021-07-13       Impact factor: 3.020

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.