infralow frequency

Research Papers

Infra-Low Frequency Neurofeedback in Depression: Three case studies

Grin-Yatsenko, Vera, Othmer, Siegfried, Ponomarev, Valery, Evdokimov, Sergey, Konoplev, Yuri, Kropotov, Juri (2018) · NeuroRegulation

Electroencephalographic (EEG) findings on depressive patients indicate theta and alpha activity higher than in normal controls. Extensive literature reports on the effectiveness of neurofeedback techniques in the treatment of cognitive and behavioral disorders by training the patients to modulate their brain activities, as reflected in their electroencephalogram. Three unmedicated, depressed individuals participated in this study of infra-low frequency neurofeedback (ILF NF) training. Along with the pre- and posttreatment Depression Rating Scales assessment, quantitative EEGs (qEEG) were recorded in eyes-open and eyes-closed resting states and during the visual cued Go/NoGo task before and after 20 sessions of training. Along with remission of the clinical symptoms of depression, significant decrease of theta power over frontal and central areas was observed in all three patients under all test conditions. These qEEG dynamics might be a correlate of ILF NF-related recovery of the appropriate level of frontal cortical activation.

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Infra-slow Fluctuation Training in Clinical Practice: A Technical History

Smith, Mark Llewellyn, Collura, Thomas F., Ferrera, John, Vries, Jacqueline de (2014) · NeuroRegulation

Infra-slow Fluctuation (ISF) electroencephalogram (EEG) biofeedback is a recent development in neurofeedback training.  This form of training is focused on the lowest energy the brain produces (< 0.1 Hz).  The intervention is performed with a Direct Current (DC) coupled neurofeedback amplifier.  It is distinct from Slow Cortical Potential (SCP) training and Infra-Low Frequency (ILF) training.  It shares a similar optimization process with ILF that focuses on emergent state shifts within sessions.  These state shifts require frequency adjustments that optimize client response to the training in real time.  Due to the technical difficulties inherent in recording these frequencies, EEG investigators largely neglected this low energy until recently.  As DC amplifiers improved, the slow frequencies became a signal of increasing interest to researchers.  Research has demonstrated an important role for the infra-slow oscillations in clinical work.  Positive clinical case outcomes suggest that a larger controlled study is warranted.  The technical, clinical, and equipment requirements of the intervention make this form of neurofeedback unique in the pantheon of EEG biofeedback interventions.

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