Dynamic changes in quantitative electroencephalogram during continuous performance test in children with attention-deficit/hyperactivity disorder

Nazari, Mohammad Ali; Wallois, Fabrice; Aarabi, Ardalan; Berquin, Patrick

doi:10.1016/j.ijpsycho.2011.06.016

Cited by 59 publications

(69 citation statements)

References 43 publications

(66 reference statements)

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“…Still, our findings regarding comparable theta and TBR between groups are in contrast with other studies Clarke et al, 2007Clarke et al, , 2011Dupuy et al, 2011;González-Castro et al, 2013;Lansbergen et al, 2011;Loo et al, 2010;Shi et al, 2012;Snyder et al, 2008), but correspond with some recent studies that also failed to replicate increased theta or TBR in ADHD (Coolidge et al, 2007;Liechti et al, 2013;Loo et al, 2013;Nazari et al, 2011;Ogrim et al, 2012;Swartwood et al, 2003). As for alpha and beta power, our results are not unexpected since deviances in those frequency ranges in ADHD have not been consistently observed across studies (see Section 1).…”

Section: Discussionsupporting

confidence: 84%

“…However, lately the robustness of these EEG deviances characterizing the whole ADHD population has become the focus of a debate, as a number of studies, mainly addressing eyes open resting EEG, could not invariably distinguish children with ADHD from a typically developing group based on theta power or TBR (Coolidge, Starkey, & Cahill, 2007;Liechti et al, 2013;Loo et al, 2013;Nazari, Wallois, Aarabi, & Berquin, 2011;Ogrim, Kropotov, & Hestad, 2012;Swartwood, Swartwood, Lubar, & Timmermann, 2003). This also appears to find support by a meta-analysis, revealing less discrepancy in eyes open TBR between children with and without ADHD in recent compared to earlier studies (Arns, Conners, & Kraemer, 2013).…”

Section: Introductionmentioning

confidence: 99%

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State-related electroencephalographic deviances in attention deficit hyperactivity disorder

Buyck

Wiersema

2014

Research in Developmental Disabilities

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This study investigated the stability and state-related characteristics of electroencephalographic (EEG) deviances in attention-deficit/hyperactivity disorder (ADHD). Three minutes resting EEG with eyes closed and eyes open were compared between 21 children with ADHD and 29 typically developing children. Across resting conditions, children with ADHD exhibited divergent topographic distribution for theta, alpha and beta power compared to typically developing children. In addition, less alpha and theta suppression to eye opening was found in children with ADHD, but only in those without comorbid ODD/CD. Findings of the present study refer to a consistent divergence in topographic distribution in ADHD across resting state conditions, yet demonstrate that state-related factors and comorbidity may also contribute to resting EEG deviances in ADHD. The state-related findings are in accord with several theoretical accounts emphasizing the role of contextual and state factors defining deficits in ADHD.

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Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

State-related electroencephalographic deviances in attention deficit hyperactivity disorder

Buyck

Wiersema

2014

Research in Developmental Disabilities

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“…The controversy results from a series of recent studies by independent research groups that were not supportive of the association between the TBR and ADHD [30][31][32][33][34][35][36]. These negative findings were reflected in a recent meta-analysis by Arns et al…”

Section: Diagnostic Biomarkers In Attention Deficit Hyperactivity Dismentioning

confidence: 99%

Electrophysiological biomarkers of diagnosis and outcome in neurodevelopmental disorders

Jeste¹,

Frohlich²,

Loo³

2015

Current Opinion in Neurology

131

104

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“…Although phenomena and definitions may vary, EEG spectral power variations are typically dominated by distinct changes in power in a few frequency bands. The standard terminology for these is: delta (<4 Hz), theta (4-7 Hz), alpha (8)(9)(10)(11)(12), beta (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25) Hz; often split into beta-1/sensorimotor rhythm (SMR), 13-16 Hz, and beta-2, 17-25 Hz), and gamma Hz or even still higher frequency broadband activity extending to 200 Hz or greater) [3]. It is important to note that each EEG channel recording comprises a wide range of frequencies across the power spectrum.…”

Section: Eeg Variables Typically Studiedmentioning

confidence: 99%

Clinical Utility of EEG in Attention-Deficit/Hyperactivity Disorder: A Research Update

2012

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Summary Psychiatric research applications of electroencephalography (EEG), the earliest approach to imaging human cortical brain activity, are attracting increasing scientific and clinical interest. For more than 40 years, EEG research has attempted to characterize and quantify the neurophysiology of attention-deficit/hyperactivity disorder (ADHD), most consistently associating it with increased frontocentral theta band activity and increased theta to beta (θ/β) power ratio during rest compared to non-ADHD controls. Recent reports suggest that while these EEG measures demonstrate strong discriminant validity for ADHD, significant EEG heterogeneity also exists across ADHD-diagnosed individuals. In particular, additional studies validating the use of the θ/β power ratio measure appear to be needed before it can be used for clinical diagnosis. In recent years, the number and the scientific quality of research reports on EEG-based neurofeedback (NF) for ADHD have grown considerably, although the studies reviewed here do not yet support NF training as a first-line, stand-alone treatment modality. In particular, more research is needed comparing NF to placebo control and other effective treatments for ADHD. Currently, after a long period of relative stasis, the neurophysiological specificity of measures used in EEG research is rapidly increasing. It is likely, therefore, that new EEG studies of ADHD using higher density recordings and new measures drawn from viewing EEG as a 3-dimensional functional imaging modality, as well as intensive re-analyses of existing EEG study data, can better characterize the neurophysiological differences between and within ADHD and non-ADHD subjects, and lead to more precise diagnostic measures and effective NF approaches.

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Dynamic changes in quantitative electroencephalogram during continuous performance test in children with attention-deficit/hyperactivity disorder

Cited by 59 publications

References 43 publications

State-related electroencephalographic deviances in attention deficit hyperactivity disorder

State-related electroencephalographic deviances in attention deficit hyperactivity disorder

Electrophysiological biomarkers of diagnosis and outcome in neurodevelopmental disorders

Clinical Utility of EEG in Attention-Deficit/Hyperactivity Disorder: A Research Update

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