HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations

Disturbances of neural oscillation patterns have been reported with many disease states. We introduce methodology for HIRREM™ (high-resolution, relational, resonance-based electroencephalic mirroring), also known as Brainwave Optimization™, a noninvasive technology to facilitate relaxation and auto-...

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Main Authors:	Gerdes, Lee, Gerdes, Peter, Lee, Sung W, H Tegeler, Charles
Format:	Online
Language:	English
Published:	Blackwell Publishing Ltd 2013
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3607159/

id	pubmed-3607159
recordtype	oai_dc
spelling	pubmed-36071592013-03-25 HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations Gerdes, Lee Gerdes, Peter Lee, Sung W H Tegeler, Charles Methods Disturbances of neural oscillation patterns have been reported with many disease states. We introduce methodology for HIRREM™ (high-resolution, relational, resonance-based electroencephalic mirroring), also known as Brainwave Optimization™, a noninvasive technology to facilitate relaxation and auto-calibration of neural oscillations. HIRREM is a precision-guided technology for allostatic therapeutics, intended to help the brain calibrate its own functional set points to optimize fitness. HIRREM technology collects electroencephalic data through two-channel recordings and delivers a series of audible musical tones in near real time. Choices of tone pitch and timing are made by mathematical algorithms, principally informed by the dominant frequency in successive instants of time, to permit resonance between neural oscillatory frequencies and the musical tones. Relaxation of neural oscillations through HIRREM appears to permit auto-calibration toward greater hemispheric symmetry and more optimized proportionation of regional spectral power. To illustrate an application of HIRREM, we present data from a randomized clinical trial of HIRREM as an intervention for insomnia (n = 19). On average, there was reduction of right-dominant temporal lobe high-frequency (23–36 Hz) EEG asymmetry over the course of eight successive HIRREM sessions. There was a trend for correlation between reduction of right temporal lobe dominance and magnitude of insomnia symptom reduction. Disturbances of neural oscillation have implications for both neuropsychiatric health and downstream peripheral (somatic) physiology. The possibility of noninvasive optimization for neural oscillatory set points through HIRREM suggests potentially multitudinous roles for this technology. Research is currently ongoing to further explore its potential applications and mechanisms of action. Blackwell Publishing Ltd 2013-03 2013-01-14 /pmc/articles/PMC3607159/ /pubmed/23532171 http://dx.doi.org/10.1002/brb3.116 Text en © 2013 Published by Wiley Periodicals, Inc. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Gerdes, Lee Gerdes, Peter Lee, Sung W H Tegeler, Charles
spellingShingle	Gerdes, Lee Gerdes, Peter Lee, Sung W H Tegeler, Charles HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations
author_facet	Gerdes, Lee Gerdes, Peter Lee, Sung W H Tegeler, Charles
author_sort	Gerdes, Lee
title	HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations
title_short	HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations
title_full	HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations
title_fullStr	HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations
title_full_unstemmed	HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations
title_sort	hirrem™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations
description	Disturbances of neural oscillation patterns have been reported with many disease states. We introduce methodology for HIRREM™ (high-resolution, relational, resonance-based electroencephalic mirroring), also known as Brainwave Optimization™, a noninvasive technology to facilitate relaxation and auto-calibration of neural oscillations. HIRREM is a precision-guided technology for allostatic therapeutics, intended to help the brain calibrate its own functional set points to optimize fitness. HIRREM technology collects electroencephalic data through two-channel recordings and delivers a series of audible musical tones in near real time. Choices of tone pitch and timing are made by mathematical algorithms, principally informed by the dominant frequency in successive instants of time, to permit resonance between neural oscillatory frequencies and the musical tones. Relaxation of neural oscillations through HIRREM appears to permit auto-calibration toward greater hemispheric symmetry and more optimized proportionation of regional spectral power. To illustrate an application of HIRREM, we present data from a randomized clinical trial of HIRREM as an intervention for insomnia (n = 19). On average, there was reduction of right-dominant temporal lobe high-frequency (23–36 Hz) EEG asymmetry over the course of eight successive HIRREM sessions. There was a trend for correlation between reduction of right temporal lobe dominance and magnitude of insomnia symptom reduction. Disturbances of neural oscillation have implications for both neuropsychiatric health and downstream peripheral (somatic) physiology. The possibility of noninvasive optimization for neural oscillatory set points through HIRREM suggests potentially multitudinous roles for this technology. Research is currently ongoing to further explore its potential applications and mechanisms of action.
publisher	Blackwell Publishing Ltd
publishDate	2013
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3607159/
_version_	1611965086719541248

HIRREM™: a noninvasive, allostatic methodology for relaxation and auto-calibration of neural oscillations

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