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Time course of clinical change following neurofeedback

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ABSTRACT Neurofeedback – learning to modulate brain function through real‐time monitoring of current brain state – is both a powerful method to perturb and probe brain function and an exciting… Click to show full abstract

ABSTRACT Neurofeedback – learning to modulate brain function through real‐time monitoring of current brain state – is both a powerful method to perturb and probe brain function and an exciting potential clinical tool. For neurofeedback effects to be useful clinically, they must persist. Here we examine the time course of symptom change following neurofeedback in two clinical populations, combining data from two ongoing neurofeedback studies. This analysis reveals a shared pattern of symptom change, in which symptoms continue to improve for weeks after neurofeedback. This time course has several implications for future neurofeedback studies. Most neurofeedback studies are not designed to test an intervention with this temporal pattern of response. We recommend that new studies incorporate regular follow‐up of subjects for weeks or months after the intervention to ensure that the time point of greatest effect is sampled. Furthermore, this time course of continuing clinical change has implications for crossover designs, which may attribute long‐term, ongoing effects of real neurofeedback to the control intervention that follows. Finally, interleaving neurofeedback sessions with assessments and examining when clinical improvement peaks may not be an appropriate approach to determine the optimal number of sessions for an application. HIGHLIGHTSTemporal pattern of symptom change following neurofeedback shared across studies.Symptoms continued to improve for weeks after neurofeedback.Neurofeedback studies should follow up subjects to maximize power.Crossover designs may be contaminated by significant carryover effects.Optimizing number of sessions by embedding assessments not recommended.

Keywords: change following; time course; time; neurofeedback

Journal Title: NeuroImage
Year Published: 2018

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