Neurofeedback, sham neurofeedback, and cognitive-behavioural group therapy in adults with attention-deficit hyperactivity disorder: a triple-blind, randomised, controlled trial

Schönenberg, Michael; Wiedemann, Eva; Schneidt, Alexander; Scheeff, Jonathan; Logemann, Alexander; Keune, Philipp M.; Hautzinger, Martin

doi:10.1016/s2215-0366(17)30291-2

Cited by 114 publications

(117 citation statements)

References 23 publications

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“…This is in line with the EEG-neurofeedback literature where similar effects were observed for inhibitory control tasks (Bluschke et al, 2016;Mayer et al, 2016). However, nonspecific factors (psychosocial/placebo effects) may explain a large proportion of the effect sizes found in neurofeedback studies (Ros et al, 2020;Schönenberg et al, 2017;.…”

Section: Conclusion -Behavioral Effects Of Fnirs-neurofeedback In Heasupporting

confidence: 89%

“…However, specific behavioral effects of neurofeedback, as assessed in placebo and motivation levelcontrolled designs, are possibly rather small (see Supplementary Material 5). This assumption is at least partly supported for the EEG-neurofeedback literature where well-controlled studies depending on population and rating report no specific group effect (e.g., Schabus et al, 2017;Schönenberg et al, 2017) or medium to small and non-significant effect sizes (Strehl et al, 2017).…”

Section: Statistical Power/sensitivitymentioning

confidence: 87%

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The potential of functional near-infrared spectroscopy-based neurofeedback – a systematic review and recommendations for best practice

Mehler¹,

Lührs²,

Thibault³

et al. 2019

Preprint

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Background: The effects of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI)-neurofeedback on brain activation and behaviors have been studied extensively in the past. More recently, researchers have begun to investigate the effects of functional near-infrared spectroscopy-based neurofeedback (fNIRS-neurofeedback). FNIRS is a functional neuroimaging technique based on brain hemodynamics, which is easy to use, portable, inexpensive, and has reduced sensitivity to movement artifacts.Method: We provide the first systematic review and database of fNIRS-neurofeedback studies, synthesizing findings from 22 peer-reviewed studies (including a total of N=441 participants; 337 healthy, 104 patients). We (1) give a comprehensive overview of how fNIRS-neurofeedback training protocols were implemented, (2) review the online signal-processing methods used, (3) evaluate the quality of studies using pre-set methodological and reporting quality criteria and also present statistical sensitivity/power analyses, (4) investigate the effectiveness of fNIRS-neurofeedback in modulating brain activation, and (5) review its effectiveness in changing behavior in healthy and pathological populations. Results and discussion: (1-2) Published studies are heterogeneous (e.g., neurofeedback targets, investigated populations, applied training protocols, and methods). (3) Large randomized controlled trials are still lacking. In view of the novelty of the field, the quality of the published studies is moderate. We identified room for improvement in reporting important information and statistical power to detect realistic effects. (4) Several studies show that people can regulate hemodynamic signals from cortical brain regions with fNIRS-neurofeedback and (5) these studies indicate the feasibility of modulating motor control and prefrontal brain functioning in healthy participants and ameliorating symptoms in clinical populations (stroke, ADHD, autism, and social anxiety). However, valid conclusions about specificity or potential clinical utility are premature. Conclusion: Due to the advantages of practicability and relatively low cost, fNIRS-neurofeedback might provide a suitable and powerful alternative to EEG and fMRI neurofeedback and has great potential for clinical translation of neurofeedback. Together with more rigorous research and reporting practices, further methodological improvements may lead to a more solid understanding of fNIRS-neurofeedback. Future research will benefit from exploiting the advantages of fNIRS, which offers unique opportunities for neurofeedback research.

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Section: Conclusion -Behavioral Effects Of Fnirs-neurofeedback In Heasupporting

confidence: 89%

Section: Statistical Power/sensitivitymentioning

confidence: 87%

The potential of functional near-infrared spectroscopy-based neurofeedback – a systematic review and recommendations for best practice

Mehler¹,

Lührs²,

Thibault³

et al. 2019

Preprint

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“…The important question of whether NF's apparent efficacy is in fact to be ascribed to the placebo effect has still no generally accepted answer (Schabus, ; Schabus et al., ; Schönenberg et al., ; Thibault et al., ; Vollebregt, van Dongen‐Boomsma, Buitelaar, et al., ; Witte, Kober, & Wood, ). If the main question is that of ordinary neural trials, that is, that of knowing whether a given therapy is superior to placebo, then estimating the impact of the latter could potentially disqualify NF.…”

Section: Appraising Neurofeedbackmentioning

confidence: 99%

Neurofeedback: Principles, appraisal, and outstanding issues

Papo

2019

Eur J of Neuroscience

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Neurofeedback is a form of brain training in which subjects are fed back information about some measure of their brain activity which they are instructed to modify in a way thought to be functionally advantageous. Over the last 20 years, neurofeedback has been used to treat various neurological and psychiatric conditions, and to improve cognitive function in various contexts. However, in spite of a growing popularity, neurofeedback protocols typically make (often covert) assumptions on what aspects of brain activity to target, where in the brain to act and how, which have far‐reaching implications for the assessment of its potential and efficacy. Here we critically examine some conceptual and methodological issues associated with the way neurofeedback's general objectives and neural targets are defined. The neural mechanisms through which neurofeedback may act at various spatial and temporal scales, and the way its efficacy is appraised are reviewed, and the extent to which neurofeedback may be used to control functional brain activity discussed. Finally, it is proposed that gauging neurofeedback's potential, as well as assessing and improving its efficacy will require better understanding of various fundamental aspects of brain dynamics and a more precise definition of functional brain activity and brain‐behaviour relationships.

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“…Training to modulate sleep spindle activity and overnight memory consolidation [53]. ↑ beta, ↓ theta Typical training for improvement of ADHD symptoms [54,55,56]. ↑ beta, ↓ theta, ↓ low alpha Training of attention [57].…”

Section: ↑ Low Betamentioning

confidence: 99%

Review of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback

Omejc

Rojc

Battaglini

et al. 2018

Bosn J of Basic Med Sci

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Electroencephalographic neurofeedback (EEG-NFB) represents a broadly used method that involves a real-time EEG signal measurement, immediate data processing with the extraction of the parameter(s) of interest, and feedback to the individual in a real-time. Using such a feedback loop, the individual may gain better control over the neurophysiological parameters, by inducing changes in brain functioning and, consequently, behavior. It is used as a complementary treatment for a variety of neuropsychological disorders and improvement of cognitive capabilities, creativity or relaxation in healthy subjects. In this review, various types of EEG-NFB training are described, including training of slow cortical potentials (SCPs) and frequency and coherence training, with their main results and potential limitations. Furthermore, some general concerns about EEG-NFB methodology are presented, which still need to be addressed by the NFB community. Due to the heterogeneity of research designs in EEG-NFB protocols, clear conclusions on the effectiveness of this method are difficult to draw. Despite that, there seems to be a well-defined path for the EEG-NFB research in the future, opening up possibilities for improvement.

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Neurofeedback, sham neurofeedback, and cognitive-behavioural group therapy in adults with attention-deficit hyperactivity disorder: a triple-blind, randomised, controlled trial

Cited by 114 publications

References 23 publications

The potential of functional near-infrared spectroscopy-based neurofeedback – a systematic review and recommendations for best practice

The potential of functional near-infrared spectroscopy-based neurofeedback – a systematic review and recommendations for best practice

Neurofeedback: Principles, appraisal, and outstanding issues

Review of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback

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