EEG Brain Wave Activity at Rest and during Evoked Attention in Children with Attention-Deficit/Hyperactivity Disorder and Effects of Methylphenidate

Thomas, Bianca Lee; Viljoen, Margaretha

doi:10.1159/000441523

Cited by 10 publications

(3 citation statements)

References 31 publications

(50 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This review identified 65 ADHD studies with a median sample size of 76 (children) and 55.5 (adults; range 23–378). Of these, 56 studied children and adolescents (average age of 11 years; Kuperman et al, 1996; Clarke et al, 1998, 2001a,b,c,d, 2002a,b,c,d,e,f, 2003, 2006, 2007, 2008b, 2011, 2013, 2016; Bresnahan et al, 1999; Swartwood et al, 2003; Hermens et al, 2005a,b,c; Magee et al, 2005; Hobbs et al, 2007; Fonseca et al, 2008, 2013; Barry et al, 2009a,b, 2010; Sohn et al, 2010; Dupuy et al, 2011, 2013, 2014a,b; Lansbergen et al, 2011; Ogrim et al, 2012; Shi et al, 2012; Liechti et al, 2013; Buyck and Wiersema, 2014a,b, 2015; Poil et al, 2014; Tye et al, 2014; Kitsune et al, 2015; Roh et al, 2015; Kamida et al, 2016; Kim et al, 2016; Thomas and Viljoen, 2016; Giertuga et al, 2017; Jarrett et al, 2017; Markovska-Simoska and Pop-Jordanova, 2017; Park et al, 2017; Rommel et al, 2017; Shephard et al, 2018) and 14 studied adults (average age of 33 years; Bresnahan et al, 1999, 2006; Bresnahan and Barry, 2002; Hermens et al, 2004; Clarke et al, 2008a; Koehler et al, 2009; van Dongen-Boomsma et al, 2010; Woltering et al, 2012; Liechti et al, 2013; Buyck and Wiersema, 2014a; Poil et al, 2014; Rommel et al, 2016; Markovska-Simoska and Pop-Jordanova, 2017; Tombor et al, 2018). Five of these studies included both adults and children as participant groups (Bresnahan et al, 1999; Liechti et al, …”

Section: Resultsmentioning

confidence: 99%

EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies

Newson¹,

Thiagarajan²

2019

Front. Hum. Neurosci.

501

432

View full text Add to dashboard Cite

A significant proportion of the electroencephalography (EEG) literature focuses on differences in historically pre-defined frequency bands in the power spectrum that are typically referred to as alpha, beta, gamma, theta and delta waves. Here, we review 184 EEG studies that report differences in frequency bands in the resting state condition (eyes open and closed) across a spectrum of psychiatric disorders including depression, attention deficit-hyperactivity disorder (ADHD), autism, addiction, bipolar disorder, anxiety, panic disorder, post-traumatic stress disorder (PTSD), obsessive compulsive disorder (OCD) and schizophrenia to determine patterns across disorders. Aggregating across all reported results we demonstrate that characteristic patterns of power change within specific frequency bands are not necessarily unique to any one disorder but show substantial overlap across disorders as well as variability within disorders. In particular, we show that the most dominant pattern of change, across several disorder types including ADHD, schizophrenia and OCD, is power increases across lower frequencies (delta and theta) and decreases across higher frequencies (alpha, beta and gamma). However, a considerable number of disorders, such as PTSD, addiction and autism show no dominant trend for spectral change in any direction. We report consistency and validation scores across the disorders and conditions showing that the dominant result across all disorders is typically only 2.2 times as likely to occur in the literature as alternate results, and typically with less than 250 study participants when summed across all studies reporting this result. Furthermore, the magnitudes of the results were infrequently reported and were typically small at between 20% and 30% and correlated weakly with symptom severity scores. Finally, we discuss the many methodological challenges and limitations relating to such frequency band analysis across the literature. These results caution any interpretation of results from studies that consider only one disorder in isolation, and for the overall potential of this approach for delivering valuable insights in the field of mental health.

show abstract

Section: Resultsmentioning

confidence: 99%

EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies

Newson¹,

Thiagarajan²

2019

Front. Hum. Neurosci.

501

432

View full text Add to dashboard Cite

show abstract

“…The physiological feedback instrument was a BioGraph Infiniti 8 channel produced by Canada Thought Technology. 51 , 52 …”

Section: Methodsmentioning

confidence: 99%

The Validity of Virtual Courage for Trainees in High-Risk Occupations

Wang¹,

Wang²,

Jiang³

et al. 2022

PRBM

View full text Add to dashboard Cite

Background Employees in high-risk occupations are exposed to tremendous work stress that hinders organizational effectiveness and personal mental health. Based on positive psychology, courage can be considered a protective factor that buffers the adverse effect of high-risk surroundings on employees. However, little is known about the way courage is simulated or evaluated in response to safety concerns. Virtual reality (VR) is an accessible tool for courage simulation due to its immersive qualities, presence and interactive features and may provide a promising pathway to achieve a scientific, accurate and ecologically valid evaluation of high-risk employees. Methods The sample consisted of 51 high-risk employees who were recruited voluntarily. Before and after experiencing the VR courage scenarios, the participants completed the VR features questionnaire, the Physical Courage at Work Scale (PCWS), the Courage Measure (CM), and the Positive and Negative Affect Scale (PANAS). During the process of watching the VR courage scenarios, the participants’ heart rate and skin conductance at resting-state baseline and during virtual courage scenarios were recorded through HTC VIVE Pro Eye and BioGraph Infiniti 8. Results The results support the hypothesis and reveal that the interaction, immersion and presence scores of the scenarios were all significantly higher than the median 4 points. The score for the CM in the posttest was significantly higher than that in the pretest. The scared and afraid scores for the posttest were significantly higher than those for the pretest. The heart rate and skin conductance of each scenario showed an increase compared with the baseline. The Pearson’s correlation between physiological indicators and the score of the PCWS was 0.28~0.54. Conclusion This study developed virtual courage for high-risk occupations based on well-established theory and VR technology. Experimental data revealed that the paradigm conformed to the requirements of VR features and was able to activate fear and evoke the quality of courage. Thus, the virtual courage paradigms have good validity in simulating scenarios for high-risk employees, which might accelerate organizational effectiveness while buffering working stress.

show abstract

“…: obniżona samoocena i rezygnowanie z różnych działań, co wiąże się z brakiem rozwoju potencjalnych możliwości. Liczne badania [36][37][38][39] potwierdzają, że nieprawidłowości w relacjach i problemy w panowaniu nad sobą prowadzą często do nieprawidłowego kształtowania się osobowości, zachowań antyspołecznych, nasilonych zaburzeń lękowych, depresji, a także nadużywania substancji psychoaktywnych.…”

Section: Podsumowanie I Wnioskiunclassified

Diagnosing ADHD using QEEG and planning EEG-biofeedback (Neurofeedback) therapy – pilot studies

Ochojska¹,

Dejnowicz-Velitchkov²,

Kopanska³

2021

Med Og Nauk Zdr.

View full text Add to dashboard Cite

Wprowadzenie. Wśród przyczyn zespołu nadpobudliwości psychoruchowej z deficytem uwagi (ADHD) wymienia się głównie uwarunkowania biologiczne (genetyczne, biochemiczne oraz anatomiczne). Czynniki środowiskowe wpływają również w istotny sposób na funkcjonowanie jednostki, ale są w dużej mierze konsekwencją zdeterminowanych biologicznie specyficznych reakcji dziecka czy osoby dorosłej z ADHD. Zatem wczesne diagnozowanie dysfunkcji stanowi istotny warunek podjęcia właściwych oddziaływań, sprzyjających złagodzeniu określonych objawów i uniknięciu różnych konsekwencji związanych z deficytem uwagi i nadruchliwością. W diagnozowaniu niezbędne jest uwzględnienie obiektywnych i subiektywnych symptomów zaburzeń. Przydatne są tu również: wywiad, obserwacja, a także testy psychologiczne. Ze względu na trudności w diagnozie różnicowej związanej z różnego typu schorzeniami istotne są również badania natury biologicznej. Szczególnie pomocne w diagnozowaniu jest ilościowe badanie EEG, czyli QEEG. Cel pracy. Analiza przydatności diagnozowania osób z ADHD metodą QEEG, która jest również podstawą do planowania wspomagającej terapii EEG-biofeedback. Materiał i metoda. Badania mają charakter studiów przypadków. W pracy przedstawiono pogłębioną analizę wyników QEEG pięciorga losowo wybranych dzieci z ADHD. Wyniki. Badanie dzieci z ADHD przy pomocy QEEG wskazuje na powtarzające się zależności, występowanie wysokich amplitud fal niskoczęstotliwościowych-delta, theta, alfa oraz niskie amplitudy fal wysokoczęstotliwościowych w porównaniu do niskoczęstotliwościowych. Stwierdzono natomiast zbliżone amplitudy fal wysokoczęstotliwościowych-SMR, beta 1 i beta 2 oraz niższe amplitudy fal beta 2 od alfa i theta. Wnioski. Badanie QEEG jest bardzo pomocne w diagnozowaniu ADHD. Metoda ta dostarcza istotnych informacji w planowaniu terapii EEG-biofeedback i sprawdzaniu jej skuteczności.

show abstract

EEG Brain Wave Activity at Rest and during Evoked Attention in Children with Attention-Deficit/Hyperactivity Disorder and Effects of Methylphenidate

Cited by 10 publications

References 31 publications

EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies

EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies

The Validity of Virtual Courage for Trainees in High-Risk Occupations

Diagnosing ADHD using QEEG and planning EEG-biofeedback (Neurofeedback) therapy – pilot studies

Contact Info

Product

Resources

About