Limbic Activity Modulation Guided by Functional Magnetic Resonance Imaging–Inspired Electroencephalography Improves Implicit Emotion Regulation

Jackob N. Keynan; Yehudit Meir-Hasson; Gadi Gilam; Avihay Cohen; Gilan Jackont; Sivan Kinreich; Limor Ikar; Ayelet Or-Borichev; Amit Etkin; Anett Gyurak; Ilana Klovatch; Nathan Intrator; Talma Hendler

doi:10.1016/j.biopsych.2015.12.024

Limbic Activity Modulation Guided by Functional Magnetic Resonance Imaging–Inspired Electroencephalography Improves Implicit Emotion Regulation

Jackob N. Keynan, Yehudit Meir-Hasson, Gadi Gilam, Avihay Cohen, Gilan Jackont, Sivan Kinreich, Limor Ikar, Ayelet Or-Borichev, Amit Etkin, Anett Gyurak, Ilana Klovatch, Nathan Intrator, Talma Hendler^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

75 Scopus citations

Abstract

The amygdala has a pivotal role in processing traumatic stress; hence, gaining control over its activity could facilitate adaptive mechanism and recovery. To date, amygdala volitional regulation could be obtained only via real-time functional magnetic resonance imaging (fMRI), a highly inaccessible procedure. The current article presents high-impact neurobehavioral implications of a novel imaging approach that enables bedside monitoring of amygdala activity using fMRI-inspired electroencephalography (EEG), hereafter termed amygdala-electrical fingerprint (amyg-EFP). Simultaneous EEG/fMRI indicated that the amyg-EFP reliably predicts amygdala-blood oxygen level–dependent activity. Implementing the amyg-EFP in neurofeedback demonstrated that learned downregulation of the amyg-EFP facilitated volitional downregulation of amygdala-blood oxygen level–dependent activity via real-time fMRI and manifested as reduced amygdala reactivity to visual stimuli. Behavioral evidence further emphasized the therapeutic potential of this approach by showing improved implicit emotion regulation following amyg-EFP neurofeedback. Additional EFP models denoting different brain regions could provide a library of localized activity for low-cost and highly accessible brain-based diagnosis and treatment.

Original language	English
Pages (from-to)	490-496
Number of pages	7
Journal	Biological Psychiatry
Volume	80
Issue number	6
DOIs	https://doi.org/10.1016/j.biopsych.2015.12.024
State	Published - 15 Sep 2016

Funding

Funders	Funder number
US Department of Defense

Keywords

Amygdala
Brain-computer interface
EEG neurofeedback
Machine learning
Real-time fMRI
Stress

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10.1016/j.biopsych.2015.12.024

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Keynan, J. N., Meir-Hasson, Y., Gilam, G., Cohen, A., Jackont, G., Kinreich, S., Ikar, L., Or-Borichev, A., Etkin, A., Gyurak, A., Klovatch, I., Intrator, N., & Hendler, T. (2016). Limbic Activity Modulation Guided by Functional Magnetic Resonance Imaging–Inspired Electroencephalography Improves Implicit Emotion Regulation. Biological Psychiatry, 80(6), 490-496. https://doi.org/10.1016/j.biopsych.2015.12.024

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title = "Limbic Activity Modulation Guided by Functional Magnetic Resonance Imaging–Inspired Electroencephalography Improves Implicit Emotion Regulation",

abstract = "The amygdala has a pivotal role in processing traumatic stress; hence, gaining control over its activity could facilitate adaptive mechanism and recovery. To date, amygdala volitional regulation could be obtained only via real-time functional magnetic resonance imaging (fMRI), a highly inaccessible procedure. The current article presents high-impact neurobehavioral implications of a novel imaging approach that enables bedside monitoring of amygdala activity using fMRI-inspired electroencephalography (EEG), hereafter termed amygdala-electrical fingerprint (amyg-EFP). Simultaneous EEG/fMRI indicated that the amyg-EFP reliably predicts amygdala-blood oxygen level–dependent activity. Implementing the amyg-EFP in neurofeedback demonstrated that learned downregulation of the amyg-EFP facilitated volitional downregulation of amygdala-blood oxygen level–dependent activity via real-time fMRI and manifested as reduced amygdala reactivity to visual stimuli. Behavioral evidence further emphasized the therapeutic potential of this approach by showing improved implicit emotion regulation following amyg-EFP neurofeedback. Additional EFP models denoting different brain regions could provide a library of localized activity for low-cost and highly accessible brain-based diagnosis and treatment.",

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author = "Keynan, {Jackob N.} and Yehudit Meir-Hasson and Gadi Gilam and Avihay Cohen and Gilan Jackont and Sivan Kinreich and Limor Ikar and Ayelet Or-Borichev and Amit Etkin and Anett Gyurak and Ilana Klovatch and Nathan Intrator and Talma Hendler",

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Keynan, JN, Meir-Hasson, Y, Gilam, G, Cohen, A, Jackont, G, Kinreich, S, Ikar, L, Or-Borichev, A, Etkin, A, Gyurak, A, Klovatch, I, Intrator, N & Hendler, T 2016, 'Limbic Activity Modulation Guided by Functional Magnetic Resonance Imaging–Inspired Electroencephalography Improves Implicit Emotion Regulation', Biological Psychiatry, vol. 80, no. 6, pp. 490-496. https://doi.org/10.1016/j.biopsych.2015.12.024

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AU - Keynan, Jackob N.

AU - Meir-Hasson, Yehudit

AU - Gilam, Gadi

AU - Cohen, Avihay

AU - Jackont, Gilan

AU - Kinreich, Sivan

AU - Ikar, Limor

AU - Or-Borichev, Ayelet

AU - Etkin, Amit

AU - Gyurak, Anett

AU - Klovatch, Ilana

AU - Intrator, Nathan

AU - Hendler, Talma

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Y1 - 2016/9/15

N2 - The amygdala has a pivotal role in processing traumatic stress; hence, gaining control over its activity could facilitate adaptive mechanism and recovery. To date, amygdala volitional regulation could be obtained only via real-time functional magnetic resonance imaging (fMRI), a highly inaccessible procedure. The current article presents high-impact neurobehavioral implications of a novel imaging approach that enables bedside monitoring of amygdala activity using fMRI-inspired electroencephalography (EEG), hereafter termed amygdala-electrical fingerprint (amyg-EFP). Simultaneous EEG/fMRI indicated that the amyg-EFP reliably predicts amygdala-blood oxygen level–dependent activity. Implementing the amyg-EFP in neurofeedback demonstrated that learned downregulation of the amyg-EFP facilitated volitional downregulation of amygdala-blood oxygen level–dependent activity via real-time fMRI and manifested as reduced amygdala reactivity to visual stimuli. Behavioral evidence further emphasized the therapeutic potential of this approach by showing improved implicit emotion regulation following amyg-EFP neurofeedback. Additional EFP models denoting different brain regions could provide a library of localized activity for low-cost and highly accessible brain-based diagnosis and treatment.

AB - The amygdala has a pivotal role in processing traumatic stress; hence, gaining control over its activity could facilitate adaptive mechanism and recovery. To date, amygdala volitional regulation could be obtained only via real-time functional magnetic resonance imaging (fMRI), a highly inaccessible procedure. The current article presents high-impact neurobehavioral implications of a novel imaging approach that enables bedside monitoring of amygdala activity using fMRI-inspired electroencephalography (EEG), hereafter termed amygdala-electrical fingerprint (amyg-EFP). Simultaneous EEG/fMRI indicated that the amyg-EFP reliably predicts amygdala-blood oxygen level–dependent activity. Implementing the amyg-EFP in neurofeedback demonstrated that learned downregulation of the amyg-EFP facilitated volitional downregulation of amygdala-blood oxygen level–dependent activity via real-time fMRI and manifested as reduced amygdala reactivity to visual stimuli. Behavioral evidence further emphasized the therapeutic potential of this approach by showing improved implicit emotion regulation following amyg-EFP neurofeedback. Additional EFP models denoting different brain regions could provide a library of localized activity for low-cost and highly accessible brain-based diagnosis and treatment.

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KW - Brain-computer interface

KW - EEG neurofeedback

KW - Machine learning

KW - Real-time fMRI

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Limbic Activity Modulation Guided by Functional Magnetic Resonance Imaging–Inspired Electroencephalography Improves Implicit Emotion Regulation

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