Literature DB >> 123403

Non-Gaussian behavior of the EEG in Down's syndrome suggests decreased neuronal connections.

R Elul, J Hanley, J Q Simmons.   

Abstract

Computer analyses of the electroencephalograms of normal children, and children with Down's syndrome who were mentally retarded, revealed differences in the distribution of amplitude between the two groups. Normal children, in the early postnatal period, generate EEG's which have a non-Gaussian distribution of amplitude that becomes increasingly Gaussian before one year of age and remains so throughout subsequent development. Conversely, the EEG's of children with Down's syndrome exhibit highly non-Gaussian properties at all ages studied. The EEG's of two mentally retarded autistic children did not show this property, so it is not merely a concomitant of mental retardation. The first-order Gaussian distribution may reflect the degree of inteneuronal coupling; since an increased number of connections on any neuron implies decreased functional dependence of that neuron on any other particular single neuron, the present evidence, which indicates stronger interneuronal coupling in mongoloids, suggests that Down's syndrome may be associated with incomplete postnatal development of interconnections between cortical neurons.

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Year:  1975        PMID: 123403     DOI: 10.1111/j.1600-0404.1975.tb01356.x

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  3 in total

1.  Temporal microstructure of cortical networks (TMCN) underlying task-related differences.

Authors:  Arpan Banerjee; Ajay S Pillai; Justin R Sperling; Jason F Smith; Barry Horwitz
Journal:  Neuroimage       Date:  2012-06-19       Impact factor: 6.556

2.  Restrained Phosphatidylcholine Synthesis in a Cellular Model of Down's Syndrome is Associated with the Overexpression of Dyrk1A.

Authors:  Maruan Hijazi; José M Medina; Ana Velasco
Journal:  Mol Neurobiol       Date:  2016-01-23       Impact factor: 5.590

3.  Non-Gaussian probabilistic MEG source localisation based on kernel density estimation.

Authors:  Hamid R Mohseni; Morten L Kringelbach; Mark W Woolrich; Adam Baker; Tipu Z Aziz; Penny Probert-Smith
Journal:  Neuroimage       Date:  2013-09-20       Impact factor: 6.556

  3 in total

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