Author Correction: Electrical fingerprint of the amygdala guides neurofeedback training for stress resilience

Keynan, Jackob Nimrod; Cohen, Avihay; Jackont, Gilan; Green, Nili; Goldway, Noam; Davidov, Alexander; Meir-Hasson, Yehudit; Raz, Gal; Intrator, Nathan; Fruchter, Eyal; Ginat, Keren; Laska, Eugene; Cavazza, Marc; Hendler, Talma

doi:10.1038/s41562-019-0534-5

Cited by 4 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors consider a model presented in the study by Meir-Hasson et al (2016) to be one of the most promising models. A group of subjects underwent scanning during the so-called "emotional regulation," and the resulting data showed the efficacy of the authors' method of reconstruction of BOLD signal from the region of interest (ROI) based on EEG data recorded during the biofeedback (Keynan et al, 2016(Keynan et al, , 2019. In the described approach, there were no limitations to HRF shape, and respective time delays were factored into the model.…”

Section: Introductionmentioning

confidence: 99%

fMRI-EEG Fingerprint Regression Model for Motor Cortex

Rudnev

Мельников²,

Савелов

et al. 2021

View full text Add to dashboard Cite

The combination of modern machine learning and traditional statistical methods allows the construction of individual regression models for predicting the blood oxygenation level dependent (BOLD) signal of a selected region-of-interest within the brain using EEG signal. Among the many different models for motor cortex, we chose the EEG Fingerprint one-electrode approach, based on rigid regression model with Stockwell EEG signal transformation, used before only for the amygdala. In this study we demonstrate the way of finding suitable model parameters for the cases of BOLD signal reconstruction for five individuals: three of them were healthy, and two were after a hemorrhagic stroke with varying degrees of damage according to Medical Research Council (MRC) Weakness Scale. The principal possibility of BOLD restoring using regressor model was demonstrated for all the cases considered above. The results of direct and indirect comparisons of BOLD signal reconstruction at the motor region for healthy participants and for patients who suffered from a stroke are presented.

show abstract

Section: Introductionmentioning

confidence: 99%

fMRI-EEG Fingerprint Regression Model for Motor Cortex

Rudnev

Мельников²,

Савелов

et al. 2021

View full text Add to dashboard Cite

show abstract

Regulating posttraumatic stress disorder symptoms with neurofeedback: Regaining control of the mind

Nicholson,

Ros,

Jetly

et al. 2024

Journal of Military, Veteran and Family Health

View full text Add to dashboard Cite

Neurofeedback is emerging as a psychophysiological treatment where self-regulation is achieved through online feed-back of neural states. Novel personalized medicine approaches are particularly important for the treatment of posttrau-matic stress disorder (PTSD), as symptom presentation of the disorder, as well as responses to treatment, are highly het-erogeneous. Learning to achieve control of specific neural substrates through neurofeedback has been shown to display therapeutic evidence in patients with a wide variety of psychiatric disorders, including PTSD. This article outlines the neural mechanisms underlying neurofeedback and examines converging evidence for the efficacy of neurofeedback as an adjunctive treatment for PTSD via both electroencephalography (EEG) and real-time functional magnetic resonance imaging (fMRI) modalities. Further, implications for the treatment of PTSD via neurofeedback in the military mem-ber and Veteran population is examined.

show abstract

Régulation des symptômes de trouble de stress post-traumatique par la rétroaction neurologique : rétablir le contrôle mental

Nicholson,

Ros,

Jetly

et al. 2024

Journal of Military, Veteran and Family Health

View full text Add to dashboard Cite

La rétroaction neurologique apparaît comme un traitement psychophysiologique qui permet l’autorégulation par la rétroaction en ligne des états neuronaux. Les nouvelles approches de médecine personnalisée sont particulièrement importantes pour le traitement du syndrome de stress post-traumatique (SSPT), car la présentation des symptômes et les réponses au traitement sont hautement hétérogènes. Il est démontré que le fait d’apprendre à contrôler des substrats neuronaux précis grâce à la rétroaction neurologique donne des résultats thérapeutiques chez des patient(e)s présentant un vaste éventail de troubles psychiatriques, y compris le SSPT. Le présent article souligne les mécanismes neuronaux sous-jacents à la rétroaction neurologique et examine des données convergentes sur l’efficacité de la rétroaction neurologique comme traitement d’appoint au SSPT, à la fois par l’électroencéphalographie (ÉEG) et l’imagerie par résonance magnétique fonctionnelle (IRMf). De plus, on y étudie les conséquences de la rétroaction neurologique pour le traitement du SSPT dans la population de militaires et de vétéran(e)s.

show abstract

Author Correction: Electrical fingerprint of the amygdala guides neurofeedback training for stress resilience

Cited by 4 publications

References 0 publications

fMRI-EEG Fingerprint Regression Model for Motor Cortex

fMRI-EEG Fingerprint Regression Model for Motor Cortex

Regulating posttraumatic stress disorder symptoms with neurofeedback: Regaining control of the mind

Régulation des symptômes de trouble de stress post-traumatique par la rétroaction neurologique : rétablir le contrôle mental

Contact Info

Product

Resources

About