Literature DB >> 8915554

Quantitative electroencephalographic profiles of children with attention deficit disorder.

R J Chabot1, G Serfontein.   

Abstract

Quantitative electroencephalogram (QEEG) was obtained from 407 children with attention deficit disorder. These QEEGs were compared to those of 310 normal children. Discriminant analysis resulted in a specificity of 88% and a sensitivity of 93.7% for distinguishing normal children from those with attention deficit disorder. Two major neurophysiological subtypes were evident within the 92.6% abnormal QEEG profiles encountered. The first showed varying degrees of EEG slowing, especially in frontal regions, whereas the second showed an increase in EEG activity, especially in frontal regions. Deviations from normal development rather than maturational lag were present as the source of the neurophysiological abnormality in the majority of these children. In conjunction with recent magnetic resonance imaging, positron emission tomography, and regional cerebral blood flow studies, these results indicate neurophysiological dysfunction within the cortical and subcortical structures that serve the frontal/striatal system. Models suggesting both hypo- or hyperarousal of these structures are supported.

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Year:  1996        PMID: 8915554     DOI: 10.1016/0006-3223(95)00576-5

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  67 in total

Review 1.  Subtypes of attention-deficit/hyperactivity disorder (ADHD): distinct or related disorders across measurement levels?

Authors:  Dieter Baeyens; Herbert Roeyers; Johan Vande Walle
Journal:  Child Psychiatry Hum Dev       Date:  2006

2.  Comparison of mapping quantitative theta encephalograms during directed and required visual-verbal activity and passive period in children with different disorders of speech-language functioning.

Authors:  Zoran Radicevic; Ljiljana Jelicic Dobrijevic; Mirjana Sovilj; Ivana Barlov
Journal:  Exp Brain Res       Date:  2009-05-09       Impact factor: 1.972

3.  Electroencephalography correlates of spatial working memory deficits in attention-deficit/hyperactivity disorder: vigilance, encoding, and maintenance.

Authors:  Agatha Lenartowicz; Arnaud Delorme; Patricia D Walshaw; Alex L Cho; Robert M Bilder; James J McGough; James T McCracken; Scott Makeig; Sandra K Loo
Journal:  J Neurosci       Date:  2014-01-22       Impact factor: 6.167

4.  Decision support algorithm for diagnosis of ADHD using electroencephalograms.

Authors:  Berdakh Abibullaev; Jinung An
Journal:  J Med Syst       Date:  2011-06-15       Impact factor: 4.460

Review 5.  Clinical utility of EEG in attention-deficit/hyperactivity disorder: a research update.

Authors:  Sandra K Loo; Scott Makeig
Journal:  Neurotherapeutics       Date:  2012-07       Impact factor: 7.620

6.  Classification Accuracy of Neuroimaging Biomarkers in Attention-Deficit/Hyperactivity Disorder: Effects of Sample Size and Circular Analysis.

Authors:  Alfredo A Pulini; Wesley T Kerr; Sandra K Loo; Agatha Lenartowicz
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-06-27

7.  Functional connectivity of frontal cortex in healthy and ADHD children reflected in EEG coherence.

Authors:  Michael Murias; James M Swanson; Ramesh Srinivasan
Journal:  Cereb Cortex       Date:  2006-10-05       Impact factor: 5.357

Review 8.  Aberrant Modulation of Brain Oscillatory Activity and Attentional Impairment in Attention-Deficit/Hyperactivity Disorder.

Authors:  Agatha Lenartowicz; Ali Mazaheri; Ole Jensen; Sandra K Loo
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2017-10-06

9.  ADHD familial loading and abnormal EEG alpha asymmetry in children with ADHD.

Authors:  T Sigi Hale; Susan L Smalley; Jeff Dang; Grant Hanada; James Macion; James T McCracken; James J McGough; Sandra K Loo
Journal:  J Psychiatr Res       Date:  2009-12-16       Impact factor: 4.791

10.  Effects of methylphenidate on quantitative EEG of boys with attention-deficit hyperactivity disorder in continuous performance test.

Authors:  Dong Ho Song; Dong Won Shin; Duk In Jon; Eun Hye Ha
Journal:  Yonsei Med J       Date:  2005-02-28       Impact factor: 2.759

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