Mechanisms of Neurofeedback
Research Papers
Toward a Frequency-based Theory of Neurofeedbackby Siegfried Othmer, Ph.D. and Susan F. Othmer, The EEG Institute
This chapter is intended to serve as a counter-point to the other chapters of this book in that it presents neurofeedback as both an alternative and a complement to stimulation-based methods of neurorehabilitation. Neurofeedback is based on learning or a training model, and generally relies on one of two basic approaches: the specific targeting of dysfunction or the more general promotion of functional competence. Both appeal to the frequency-based organization of cerebral network function. The novel finding is that this frequency-based organization reaches deep into the infra-low frequency (ILF) region.
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Enhancing brain connectivity with infra-low frequency neurofeedback during aging: A pilot study
by Olga R Dobrushina, Larisa A Dobrynina, Galina A Arina, Elena I Kremneva, Evgenia S Novikova, Mariia V Gubanova, Ekaterina V. Pechenkova, Anastasia D Suslina, Vlada V Aristova, Viktoriya V Trubitsyna, Marina V Krotenkova
ABSTRACT
This study concerned itself with connectivity changes in aging. Nine mildly symptomatic females were trained for fifteen sessions with a standard protocol. A network of systematic neurofeedback-induced connectivity changes was observed. This was readily distinguishable in comparison with data from nine comparable patients taken from a prior study involving heart rate variability training.
Front. Hum. Neurosci. 16:891547. doi: 10.3389/fnhum.2022.891547
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The Enigma of Infra-Slow Fluctuation in the human EEG
by Juri Kropotov
ABSTRACT
This paper reviews the history of research on infra-slow fluctuations, in which the author played a key early role. The discussion focuses on the spectral range above ~0.01 Hz, the frequency range covered in fMRI research, where the fluctuations are more readily observable.
Front. Hum. Neurosci. 16:891547. doi: 10.3389/fnhum.2022.891547
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