Literature DB >> 20711644

Detection of abnormalities for diagnosing of children with autism disorders using of quantitative electroencephalography analysis.

Ali Sheikhani1, Hamid Behnam, Mohammad Reza Mohammadi, Maryam Noroozian, Mohammad Mohammadi.   

Abstract

Quantitative electroencephalography (qEEG) has been used as a tool for neurophysiologic diagnostic. We used spectrogram and coherence values for evaluating qEEG in 17 children (13 boys and 4 girls aged between 6 and 11) with autism disorders (ASD) and 11 control children (7 boys and 4 girls with the same age range). Evaluation of qEEG with statistical analysis demonstrated that alpha frequency band (8-13 Hz) had the best distinction level of 96.4% in relaxed eye-opened condition using spectrogram criteria. The ASD group had significant lower spectrogram criteria values in left brain hemisphere, (p < 0.01) at F3 and T3 electrodes and (p < 0.05) at FP1, F7, C3, Cz and T5 electrodes. Coherence values at 171 pairs of EEG electrodes indicated that there are more abnormalities with higher values in the connectivity of temporal lobes with other lobes in gamma frequency band (36-44 Hz).

Entities:  

Mesh:

Year:  2010        PMID: 20711644     DOI: 10.1007/s10916-010-9560-6

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  31 in total

1.  Nonlinear dynamic analysis of the EEG in patients with Alzheimer's disease and vascular dementia.

Authors:  J Jeong; J H Chae; S Y Kim; S H Han
Journal:  J Clin Neurophysiol       Date:  2001-01       Impact factor: 2.177

Review 2.  The epidemiology of autism: a review.

Authors:  E Fombonne
Journal:  Psychol Med       Date:  1999-07       Impact factor: 7.723

Review 3.  Chaos in the brain: a short review alluding to epilepsy, depression, exercise and lateralization.

Authors:  S N Sarbadhikari; K Chakrabarty
Journal:  Med Eng Phys       Date:  2001-09       Impact factor: 2.242

4.  EEG evidence for mirror neuron dysfunction in autism spectrum disorders.

Authors:  Lindsay M Oberman; Edward M Hubbard; Joseph P McCleery; Eric L Altschuler; Vilayanur S Ramachandran; Jaime A Pineda
Journal:  Brain Res Cogn Brain Res       Date:  2005-07

5.  Time frequency based coherence analysis between EEG and EMG activities in fatigue duration.

Authors:  D Tuncel; A Dizibuyuk; M K Kiymik
Journal:  J Med Syst       Date:  2010-04       Impact factor: 4.460

6.  Functional connectivity in a baseline resting-state network in autism.

Authors:  Vladimir L Cherkassky; Rajesh K Kana; Timothy A Keller; Marcel Adam Just
Journal:  Neuroreport       Date:  2006-11-06       Impact factor: 1.837

7.  [The clinical, neurophysiological and differential diagnostic aspects in a study of severe forms of early childhood autism].

Authors:  V M Bashina; N L Gorbachevskaia; N V Simashkova; A F Iznak; L F Kozhushko; L P Iakupova
Journal:  Zh Nevrol Psikhiatr Im S S Korsakova       Date:  1994

8.  EEG features and epilepsy in patients with autism.

Authors:  P G Rossi; A Parmeggiani; V Bach; M Santucci; P Visconti
Journal:  Brain Dev       Date:  1995 May-Jun       Impact factor: 1.961

9.  Entropy analysis of the EEG background activity in Alzheimer's disease patients.

Authors:  D Abásolo; R Hornero; P Espino; D Alvarez; J Poza
Journal:  Physiol Meas       Date:  2006-01-13       Impact factor: 2.833

10.  Effect of volatile anesthetics on interhemispheric EEG cross-approximate entropy in the rat.

Authors:  Anthony G Hudetz
Journal:  Brain Res       Date:  2002-11-01       Impact factor: 3.252

View more
  26 in total

1.  Altered development and multifaceted band-specific abnormalities of resting state networks in autism.

Authors:  Manfred G Kitzbichler; Sheraz Khan; Santosh Ganesan; Mark G Vangel; Martha R Herbert; Matti S Hämäläinen; Tal Kenet
Journal:  Biol Psychiatry       Date:  2014-06-18       Impact factor: 13.382

Review 2.  Electroencephalogram Coherence Patterns in Autism: An Updated Review.

Authors:  Sophie Schwartz; Riley Kessler; Thomas Gaughan; Ashura W Buckley
Journal:  Pediatr Neurol       Date:  2016-10-28       Impact factor: 3.372

3.  Peak alpha frequency is a neural marker of cognitive function across the autism spectrum.

Authors:  Abigail Dickinson; Charlotte DiStefano; Damla Senturk; Shafali Spurling Jeste
Journal:  Eur J Neurosci       Date:  2017-08-01       Impact factor: 3.386

Review 4.  Epilepsy and Autism.

Authors:  Ashura W Buckley; Gregory L Holmes
Journal:  Cold Spring Harb Perspect Med       Date:  2016-04-01       Impact factor: 6.915

5.  Atypical laterality of resting gamma oscillations in autism spectrum disorders.

Authors:  Christina R Maxwell; Michele E Villalobos; Robert T Schultz; Beate Herpertz-Dahlmann; Kerstin Konrad; Gregor Kohls
Journal:  J Autism Dev Disord       Date:  2015-02

Review 6.  γ-band abnormalities as markers of autism spectrum disorders.

Authors:  Donald C Rojas; Lisa B Wilson
Journal:  Biomark Med       Date:  2014       Impact factor: 2.851

7.  Targeting Gamma-Related Pathophysiology in Autism Spectrum Disorder Using Transcranial Electrical Stimulation: Opportunities and Challenges.

Authors:  Fae B Kayarian; Ali Jannati; Alexander Rotenberg; Emiliano Santarnecchi
Journal:  Autism Res       Date:  2020-05-28       Impact factor: 5.216

8.  Joint analysis of band-specific functional connectivity and signal complexity in autism.

Authors:  Yasser Ghanbari; Luke Bloy; J Christopher Edgar; Lisa Blaskey; Ragini Verma; Timothy P L Roberts
Journal:  J Autism Dev Disord       Date:  2015-02

9.  Atypical Relationships Between Spontaneous EEG and fMRI Activity in Autism.

Authors:  Lisa E Mash; Brandon Keehn; Annika C Linke; Thomas T Liu; Jonathan L Helm; Frank Haist; Jeanne Townsend; Ralph-Axel Müller
Journal:  Brain Connect       Date:  2020-02

10.  A stable pattern of EEG spectral coherence distinguishes children with autism from neuro-typical controls - a large case control study.

Authors:  Frank H Duffy; Heidelise Als
Journal:  BMC Med       Date:  2012-06-26       Impact factor: 8.775

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.