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HIRREM™:一种用于神经振荡放松和自动校准的非侵入性、全身适应方法。

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

机构信息

Brain State Technologies LLC Scottsdale, Arizona, 85260.

出版信息

Brain Behav. 2013 Mar;3(2):193-205. doi: 10.1002/brb3.116. Epub 2013 Jan 14.

Abstract

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.

摘要

神经振荡模式的紊乱与许多疾病状态有关。我们介绍了 HIRREM(高分辨率、关系、基于共振的脑电图镜像)的方法,也称为脑波优化,这是一种非侵入性技术,可促进神经振荡的放松和自动校准。HIRREM 是一种用于全身适应治疗的精确定位技术,旨在帮助大脑校准自己的功能设定点,以优化适应性。HIRREM 技术通过双通道记录收集脑电图数据,并实时提供一系列可听见的音调。音调的音高和定时选择是通过数学算法做出的,主要基于连续瞬间的主导频率,以允许神经振荡频率与音乐音调之间产生共振。通过 HIRREM 放松神经振荡似乎允许自动校准,以实现更大的半球对称性和更优化的区域光谱功率分配。为了说明 HIRREM 的应用,我们展示了一项 HIRREM 作为失眠干预的随机临床试验的数据(n=19)。平均而言,在连续八次 HIRREM 治疗过程中,右侧颞叶高频(23-36 Hz)EEG 不对称性降低。右侧颞叶优势降低与失眠症状减轻程度之间存在相关性趋势。神经振荡的紊乱对神经精神健康和下游外周(躯体)生理学都有影响。通过 HIRREM 对神经振荡设定点进行非侵入性优化的可能性表明,该技术可能具有多种作用。目前正在进行研究,以进一步探索其潜在应用和作用机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a57/3607159/ff40d4e5cde4/brb30003-0193-f1.jpg

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