CorrespondenceNeurofeedback: time needed for a promising non-pharmacological therapeutic method
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Cited by (15)
The learning effects and curves during high beta down-training neurofeedback for patients with major depressive disorder
2020, Journal of Affective DisordersCitation Excerpt :Therefore, Thibault and Raz (2016a, 2016b) and Thibault et al. (2017) commented that under inadequate experimental design and limited effects were found, placebo factors should be accountable for the improvements after NFB training. Conversely, others proposed that the problematic methodology may also lead to underestimated effects and different outcome measures should be thoroughly examined (Micoulaud-Franchi and Fovet, 2016; Pigott, 2017; Pigott et al., 2017; 2018; Fovet et al., 2017; Witte et al., 2018). To diminish the controversy, multiple NFB researchers reached a consensus by dividing the mechanisms of NFB into five categories, including NFB-specific, NFB-nonspecific, general-nonspecific, repetition-related, and natural factors (Ros et al., 2019).
Neurofeedback: A challenge for integrative clinical neurophysiological studies
2020, Neurophysiologie CliniqueEEG neurofeedback research: A fertile ground for psychiatry?
2019, EncephaleCitation Excerpt :However, the clinical efficacy of this approach remains a controversial and delicate issue even for well-investigated applications, such as the therapeutic use of EEG NFB in ADHD [6,7]. Indeed, the effectiveness of neurofeedback is largely debated [8–11]. In this paper, we propose that several factors related to the concept of biomarker may be responsible for the conflicting results in the EEG NFB literature:
Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects
2019, Neurophysiologie CliniqueCitation Excerpt :Therefore, an important and timely field of research consists of determining better, i.e. more reliable and specific, EEG targets related to hyperkinetic activity [22], but also to the inattention dimension in ADHD. This will enable more relevant and efficient training to be provided to patients [59], which should ensure that the EEG target is modified during the neurofeedback procedure. In this critical review, we first described and discussed the relationship between neuroplasticity, motor skills and SMR BCI/neurofeedback training in line with the MI literature.
Using Recent BCI Literature to Deepen our Understanding of Clinical Neurofeedback: A Short Review
2018, NeuroscienceCitation Excerpt :Interestingly, the framework we propose (see Fig. 1) suggests that task-unspecific factors could also have a significant impact on the modulation of target neurophysiological patterns in NF treatments. Thus, beyond the debated placebo effect of NF (Thibault and Raz, 2016; Micoulaud Franchi and Fovet, 2016), a human-factor-centered approach of NF leads us to consider the reciprocal influence of neural networks activated by the target neurophysiological patterns and those activated by the task-unspecific factors. As highlighted in this paper, more and more effort is devoted to the understanding of between-patient variability and to the control of between-study variability.
Neurofeedback: One of today's techniques in psychiatry?
2017, EncephaleCitation Excerpt :Thanks to the principle on which it is based and to the fertile dynamic nature of ongoing research in a range of clinical, therapeutic and fundamental topics, neurofeedback can be considered a technology of today [6,7]. However, despite great interest in neurofeedback research [8–10], significant controversy exists, particularly in psychiatry and neurology [7,11]. With regard to the efficacy of neurofeedback in brain disorders, opinions within the scientific community appear to be rather sharply divided [7,9,12] comprising an optimistic group who consider neurofeedback to be effective and a skeptical group who do neither assign scientific or therapeutic value to neurofeedback training.