Literature DB >> 14629920

Localization of auditory N1 in children using MEG: source modeling issues.

Elizabeth W Pang1, William Gaetz, Hiroshi Otsubo, Sylvester Chuang, Douglas Cheyne.   

Abstract

Techniques for localizing auditory (AEF) sources are a topic of on-going discussion and this is particularly pertinent in pediatric research. Smaller head sizes are: (1) subject to bilateral temporal lobe source interference from both temporal lobes; and (2) further from MEG sensors resulting in poorer signal-to-noise ratios. An additional consideration in children is that the components of the AEF have distinct contributions along the development spectrum resulting in an ever-changing morphology for the pediatric AEF. These factors present a complicated picture for dipole fitting and raise the question of the most effective fitting strategy. We examined the AEF localizations in five children from 151, 70 and 47 MEG channels of data. We found evidence that bilateral source interaction could result in localization errors along the medial-lateral axis of up to 1 cm. We suggest that any modeling strategy needs to sufficiently account for this interaction and more precise models allowing for multiple sources need to be developed.

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Mesh:

Year:  2003        PMID: 14629920     DOI: 10.1016/s0167-8760(03)00150-8

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  8 in total

1.  Auditory event-related responses in children with semi-lobar holoprosencephaly.

Authors:  Hongkui Jing; Judy Flax; Cynthia P Roesler; Naseem Choudhury; April A Benasich
Journal:  Brain Dev       Date:  2006-02-14       Impact factor: 1.961

2.  Magnetoencephalographic spike sources associated with auditory auras in paediatric localisation-related epilepsy.

Authors:  I S Mohamed; H Otsubo; E Pang; S H Chuang; J T Rutka; P Dirks; S K Weiss; O C Snead
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-08-04       Impact factor: 10.154

3.  Practical aspects of running developmental studies in the MEG.

Authors:  Elizabeth W Pang
Journal:  Brain Topogr       Date:  2011-03-09       Impact factor: 3.020

4.  Variability of magnetoencephalographic sensor sensitivity measures as a function of age, brain volume and cortical area.

Authors:  Andrei Irimia; Matthew J Erhart; Timothy T Brown
Journal:  Clin Neurophysiol       Date:  2014-02-14       Impact factor: 3.708

5.  Physical Feature Encoding and Word Recognition Abilities Are Altered in Children with Intractable Epilepsy: Preliminary Neuromagnetic Evidence.

Authors:  Maria Pardos; Milena Korostenskaja; Jing Xiang; Hisako Fujiwara; Ki H Lee; Paul S Horn; Anna Byars; Jennifer Vannest; Yingying Wang; Nat Hemasilpin; Douglas F Rose
Journal:  Behav Neurol       Date:  2015-06-03       Impact factor: 3.342

6.  Modeling the developmental patterns of auditory evoked magnetic fields in children.

Authors:  Rupesh Kotecha; Maria Pardos; Yingying Wang; Ting Wu; Paul Horn; David Brown; Douglas Rose; Ton deGrauw; Jing Xiang
Journal:  PLoS One       Date:  2009-03-11       Impact factor: 3.240

7.  Localising the auditory N1m with event-related beamformers: localisation accuracy following bilateral and unilateral stimulation.

Authors:  Lauren Gascoyne; Paul L Furlong; Arjan Hillebrand; Siân F Worthen; Caroline Witton
Journal:  Sci Rep       Date:  2016-08-22       Impact factor: 4.379

8.  Atypical resting-state functional brain connectivity in children with developmental coordination disorder.

Authors:  Dorine Van Dyck; Nicolas Deconinck; Alec Aeby; Simon Baijot; Nicolas Coquelet; Nicola Trotta; Antonin Rovai; Serge Goldman; Charline Urbain; Vincent Wens; Xavier De Tiège
Journal:  Neuroimage Clin       Date:  2021-12-23       Impact factor: 4.881

  8 in total

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