A controlled study of the effects of EEG biofeedback on cognition and behavior of children with attention deficit disorder and learning disabilities

Linden, Michael A.; Habib, Thomas; Radojevic, Vesna

doi:10.1007/bf02214148

Cited by 288 publications

(148 citation statements)

References 17 publications

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“…32 In ADHD, a conventional QEEG neurofeedback protocol for reducing inattention and impulsivity consists of operant suppressing of theta activity and enhancement of beta activity. 34 To reduce hypermotoric symptoms, enhancement of sensorimotor rhythm (SMR; low beta 12-15 Hz activity) is sometimes used in addition to this theta-beta protocol. Based on the electrophysiologic evidence of altered SCPs in ADHD, a different protocol has emerged aiming at the modifications of SCPs to regulate cortical excitation thresholds.…”

Section: Training Protocolsmentioning

confidence: 99%

Neurofeedback for ADHD

Holtmann

Sonuga‐Barke

Cortese

et al. 2014

Child and Adolescent Psychiatric Clinics of North America

108

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KEYWORDS ADHD Treatment Neurofeedback Slow cortical potentials Frequency bands Reward KEY POINTSAmong alternative treatment approaches for attention-deficit/hyperactivity disorder (ADHD), neurofeedback has gained empirical support in recent years.Via neurofeedback, children with ADHD are trained to regulate their neurophysiologic profile or to bring it closer to that of nonaffected children; learning of self-regulation is thus a key mechanism.According to recent meta-analytic evidence, neurofeedback leads to significant decreases of ADHD core symptoms; however, if only probably blinded ratings are applied, these effects were reduced to a statistical trend. The evidence remains inconclusive because subsequent studies could demonstrate neither learning of self-regulation nor significant effects for the best blinded assessments.There is a strong need for more evidence from well-blinded, methodologically sound, and sensitive trials demonstrating also learning of self-regulation, before neurofeedback can be assigned the highest level of evidence as a front-line treatment of ADHD. ContinuedChild Adolesc Psychiatric Clin N Am -(2014) ---http://dx

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Section: Training Protocolsmentioning

confidence: 99%

Neurofeedback for ADHD

Holtmann

Sonuga‐Barke

Cortese

et al. 2014

Child and Adolescent Psychiatric Clinics of North America

108

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“…Almost unequivocally, uncontrolled within subjects' pre-to post-treatment analyses indicate positive results with medium-to-large effect sizes (ES) [16,18,21,35,[38][39][40][41][42][43][44][45][46][47].…”

Section: Brain Electric Activity and Its Relation To Brain Functionmentioning

confidence: 99%

Evidence-Based Information on the Clinical Use of Neurofeedback for ADHD

et al. 2012

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Summary Neurofeedback (NF) is a training to enhance selfregulatory capacity over brain activity patterns and consequently over brain mental states. Recent findings suggest that NF is a promising alternative for the treatment of attention-deficit/hyperactivity disorder (ADHD). We comprehensively reviewed literature searching for studies on the effectiveness and specificity of NF for the treatment of ADHD. In addition, clinically informative evidence-based data are discussed. We found 3 systematic review on the use of NF for ADHD and 6 randomized controlled trials that have not been included in these reviews. Most nonrandomized controlled trials found positive results with medium-to-large effect sizes, but the evidence for effectiveness are less robust when only randomized controlled studies are considered. The direct comparison of NF and sham-NF in 3 published studies have found no group differences, nevertheless methodological caveats, such as the quality of the training protocol used, sample size, and sample selection may have contributed to the negative results. Further data on specificity comes from electrophysiological studies reporting that NF effectively changes brain activity patterns. No safety issues have emerged from clinical trials and NF seems to be well tolerated and accepted. Follow-up studies support long-term effects of NF. Currently there is no available data to guide clinicians on the predictors of response to NF and on optimal treatment protocol. In conclusion, NF is a valid option for the treatment for ADHD, but further evidence is required to guide its use.

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“…Although the MB provides a much coarser picture of brain activity than multi-electrode EEG or other technologies, the principle advantage of the MB is its unobtrusive nature, which minimises the aforementioned difficulties in conducting accurate user studies due to the stress or distraction induced by the scanning process. Research into EEG biofeedback as a tool to aid individuals with learning difficulties [11] represents an area for ongoing study, and the future widespread availability of devices similar to the MB to home users presents an interesting opportunity to utilize these technologies in broader applications.…”

Section: Brain Computer Interfaces (Bci)mentioning

confidence: 99%

Assessing NeuroSky’s Usability to Detect Attention Levels in an Assessment Exercise

Rebolledo-Méndez

Dunwell

Martínez-Mirón³

et al. 2009

Human-Computer Interaction. New Trends

135

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Abstract. This paper presents the results of a usability evaluation of the NeuroSky's MindBuilder -EM (MB). Until recently most Brain Computer Interfaces (BCI) have been designed for clinical and research purposes partly due to their size and complexity. However, a new generation of consumeroriented BCI has appeared for the video game industry. The MB, a headset with a single electrode, is based on electro-encephalogram readings (EEG) capturing faint electrical signals generated by neural activity. The electrical signals across the electrode are measured to determine levels of attention and then translated into binary data. This paper presents the results of an evaluation to assess the usability of the MB by defining a model of attention to fuse attention signals with user-generated data in a Second Life assessment exercise. The results of this evaluation suggest that the MB provides accurate readings regarding attention, since there is a positive correlation between measured and selfreported attention levels. The results also suggest there are some usability and technical problems with its operation. Future research is presented consisting of the definition of a standardized reading methodology and an algorithm to level out the natural fluctuation of users' attention levels when used as inputs.

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A controlled study of the effects of EEG biofeedback on cognition and behavior of children with attention deficit disorder and learning disabilities

Cited by 288 publications

References 17 publications

Neurofeedback for ADHD

Neurofeedback for ADHD

Evidence-Based Information on the Clinical Use of Neurofeedback for ADHD

Assessing NeuroSky’s Usability to Detect Attention Levels in an Assessment Exercise

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