Literature DB >> 30932053

Electrical fingerprint of the amygdala guides neurofeedback training for stress resilience.

Jackob N Keynan1,2, Avihay Cohen1,2, Gilan Jackont1,2, Nili Green1,2, Noam Goldway1,3, Alexander Davidov4, Yehudit Meir-Hasson5, Gal Raz1,3,6, Nathan Intrator3,5, Eyal Fruchter4, Keren Ginat4, Eugene Laska7, Marc Cavazza8, Talma Hendler9,10,11,12.   

Abstract

Real-time functional magnetic resonance imaging (rt-fMRI) has revived the translational perspective of neurofeedback (NF)1. Particularly for stress management, targeting deeply located limbic areas involved in stress processing2 has paved new paths for brain-guided interventions. However, the high cost and immobility of fMRI constitute a challenging drawback for the scalability (accessibility and cost-effectiveness) of the approach, particularly for clinical purposes3. The current study aimed to overcome the limited applicability of rt-fMRI by using an electroencephalography (EEG) model endowed with improved spatial resolution, derived from simultaneous EEG-fMRI, to target amygdala activity (termed amygdala electrical fingerprint (Amyg-EFP))4-6. Healthy individuals (n = 180) undergoing a stressful military training programme were randomly assigned to six Amyg-EFP-NF sessions or one of two controls (control-EEG-NF or NoNF), taking place at the military training base. The results demonstrated specificity of NF learning to the targeted Amyg-EFP signal, which led to reduced alexithymia and faster emotional Stroop, indicating better stress coping following Amyg-EFP-NF relative to controls. Neural target engagement was demonstrated in a follow-up fMRI-NF, showing greater amygdala blood-oxygen-level-dependent downregulation and amygdala-ventromedial prefrontal cortex functional connectivity following Amyg-EFP-NF relative to NoNF. Together, these results demonstrate limbic specificity and efficacy of Amyg-EFP-NF during a stressful period, pointing to a scalable non-pharmacological yet neuroscience-based training to prevent stress-induced psychopathology.

Entities:  

Mesh:

Year:  2018        PMID: 30932053     DOI: 10.1038/s41562-018-0484-3

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  19 in total

1.  Better brain training for treating psychological conditions.

Authors:  Jyoti Madhusoodanan
Journal:  Nature       Date:  2021-06-24       Impact factor: 49.962

2.  Predicting Trajectories of Risk or Resilience in Traumatized Youth.

Authors:  Ran Barzilay
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-05

Review 3.  EEG Neurofeedback for Anxiety Disorders and Post-Traumatic Stress Disorders: A Blueprint for a Promising Brain-Based Therapy.

Authors:  J A Micoulaud-Franchi; C Jeunet; A Pelissolo; T Ros
Journal:  Curr Psychiatry Rep       Date:  2021-10-29       Impact factor: 5.285

Review 4.  Post-traumatic stress disorder: clinical and translational neuroscience from cells to circuits.

Authors:  Kerry J Ressler; Sabina Berretta; Vadim Y Bolshakov; Isabelle M Rosso; Edward G Meloni; Scott L Rauch; William A Carlezon
Journal:  Nat Rev Neurol       Date:  2022-03-29       Impact factor: 44.711

Review 5.  Attentional bias in depression: understanding mechanisms to improve training and treatment.

Authors:  Anne C Mennen; Kenneth A Norman; Nicholas B Turk-Browne
Journal:  Curr Opin Psychol       Date:  2019-07-31

Review 6.  Evolution, Emotion, and Episodic Engagement.

Authors:  Daniel S Pine; Steven P Wise; Elisabeth A Murray
Journal:  Am J Psychiatry       Date:  2021-06-03       Impact factor: 18.112

Review 7.  Pre-deployment programmes for building resilience in military and frontline emergency service personnel.

Authors:  Colm B Doody; Lindsay Robertson; Katie M Cox; John Bogue; Jonathan Egan; Kiran M Sarma
Journal:  Cochrane Database Syst Rev       Date:  2021-12-06

Review 8.  Mental Imagery and Brain Regulation-New Links Between Psychotherapy and Neuroscience.

Authors:  Leon Skottnik; David E J Linden
Journal:  Front Psychiatry       Date:  2019-10-30       Impact factor: 4.157

Review 9.  Prefrontal cortex and depression.

Authors:  Diego A Pizzagalli; Angela C Roberts
Journal:  Neuropsychopharmacology       Date:  2021-08-02       Impact factor: 7.853

10.  Conducting decoded neurofeedback studies.

Authors:  Vincent Taschereau-Dumouchel; Aurelio Cortese; Hakwan Lau; Mitsuo Kawato
Journal:  Soc Cogn Affect Neurosci       Date:  2021-08-06       Impact factor: 3.436

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