No threat: Emotion regulation neurofeedback for police special forces recruits

被引:1
|
作者
Bressler, Ruben Andreas [1 ]
Raible, Sophie [1 ]
Luehrs, Michael [1 ,4 ]
Tier, Ralph [3 ]
Goebel, Rainer [1 ,4 ]
Linden, David E. [2 ]
机构
[1] Maastricht Univ, Fac Psychol & Neurosci, Dept Cognit Neurosci, Univ Singel 40, NL-6229 ER Maastricht, Netherlands
[2] Maastricht Univ, Fac Hlth Med & Life Sci, Sch Mental Hlth & Neurosci, Univ Singel 40, NL-6229 ER Maastricht, Netherlands
[3] Dienst Speciale Interventies, Landelijke Eenheid, Hoofdstraat 54,Postbus 100, NL-3972 LB Driebergen, Netherlands
[4] Brain Innovat BV, Oxfordlaan 55, NL-6229 EV Maastricht, Netherlands
关键词
Real -time fMRI; Neurofeedback; Emotion regulation; Police special forces; Downregulation; Threat; TIME FMRI NEUROFEEDBACK; POSTTRAUMATIC-STRESS-DISORDER; DOWN-REGULATION; AMYGDALA; CONNECTIVITY; METAANALYSIS; ANXIETY; CORTEX; MODEL; SET;
D O I
10.1016/j.neuropsychologia.2023.108699
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Police officers of the Special Forces are confronted with highly demanding situations in terms of stress, high tension and threats to their lives. Their tasks are specifically high-risk operations, such as arrests of armed suspects and anti-terror interventions. Improving the emotion regulation skills of police officers might be a vital investment, supporting them to stay calm and focused. A promising approach is training emotion regulation by using real-time (rt-) fMRI neurofeedback. Specifically, downregulating activity in key areas of the fronto-limbic emotion regulation network in the presence of threatening stimuli.Thirteen recruits of the Dutch police special forces underwent six weekly rt-fMRI sessions, receiving neuro-feedback from individualized regions of their emotion regulation network. Their task was to reduce the image size of threatening images, wherein the image size represented their brain activity. A reduction in image size represented successful downregulation. Participants were free to use their preferred regulation strategy. A control group of fifteen recruits received no neurofeedback. Both groups completed behavioural tests (image rating on evoked valence and arousal, questionnaire) before and after the neurofeedback training. We hypoth-esized that the neurofeedback group would improve in downregulation and would score better than the control group on the behavioural tests after the neurofeedback training.Neurofeedback training resulted in a significant decrease in image size (t(12) = 2.82, p = .015) and a trend towards decreased activation in the target regions (t(10) = 1.82, p = .099) from the first to the last session. Notably, subjects achieved downregulation below the pre-stimulus baseline in the last two sessions. No relevant differences between groups were found in the behavioural tasks.Through the training of rt-fMRI neurofeedback, participants learned to downregulate the activity in individ-ualized areas of the emotion regulation network, by using their own preferred strategies. The lack of behavioural between-group differences may be explained by floor effects. Tasks that are close to real-life situations may be needed to uncover behavioural correlates of this emotion regulation training.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Prefrontal Control of the Amygdala during Real-Time fMRI Neurofeedback Training of Emotion Regulation
    Zotev, Vadim
    Phillips, Raquel
    Young, Kymberly D.
    Drevets, Wayne C.
    Bodurka, Jerzy
    PLOS ONE, 2013, 8 (11):
  • [32] Modulatory effects of dynamic fMRI-based neurofeedback on emotion regulation networks in adolescent females
    Zich, Catharina
    Johnstone, Nicola
    Luhrs, Michael D.
    Lisk, Stephen T.
    Haller, Simone P. W.
    Lipp, Annalisa
    Lau, Jennifer Y. F.
    Kadosh, Kathrin Cohen
    NEUROIMAGE, 2020, 220
  • [33] A Pilot Adaptive Neurofeedback Investigation of the Neural Mechanisms of Implicit Emotion Regulation Among Women With PTSD
    Weaver, Shelby S.
    Birn, Rasmus M.
    Cisler, Josh M.
    FRONTIERS IN SYSTEMS NEUROSCIENCE, 2020, 14
  • [34] An Electroencephalography-Based Brain-Computer Interface for Emotion Regulation With Virtual Reality Neurofeedback
    Li, Kendi
    Huang, Weichen
    Gao, Wei
    Guan, Zijing
    Huang, Qiyun
    Yu, Jin-Gang
    Yu, Zhu Liang
    Li, Yuanqing
    IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2024, 16 (04) : 1405 - 1417
  • [35] Predicting General Health and Spiritual Well-being Based on Metacognitive Beliefs in Iranian Police Forces: Mediating Role of Cognitive Emotion Regulation
    Ameri, Mohammad Ali
    Saadatazhar, Hamid Reza
    Mehradsadr, Mohammad
    Rostami, Hosein
    IRANIAN JOURNAL OF PSYCHIATRY AND CLINICAL PSYCHOLOGY, 2024, 30 (01):
  • [36] Neurofeedback Training With an Electroencephalogram-Based Brain-Computer Interface Enhances Emotion Regulation
    Huang, Weichen
    Wu, Wei
    Lucas, Molly V.
    Huang, Haiyun
    Wen, Zhenfu
    Li, Yuanqing
    IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 14 (02) : 998 - 1011
  • [37] Global Data-Driven Analysis of Brain Connectivity During Emotion Regulation by Electroencephalography Neurofeedback
    Dehghani, Amin
    Soltanian-Zadeh, Hamid
    Hossein-Zadeh, Gholam-Ali
    BRAIN CONNECTIVITY, 2020, 10 (06) : 302 - 315
  • [38] Tibial Stress Changes in New Combat Recruits for Special Forces: Patterns and Timing at MR Imaging
    Hadid, Amir
    Moran, Daniel S.
    Evans, Rachel K.
    Fuks, Yael
    Schweitzer, Mark E.
    Shabshin, Nogah
    RADIOLOGY, 2014, 273 (02) : 483 - 490
  • [39] fNIRS neurofeedback facilitates emotion regulation: Exploring individual differences over the ventrolateral prefrontal cortex
    Li, Yiwei
    Li, Sijin
    Li, Hua
    Tang, Yuyao
    Zhang, Dandan
    NEUROIMAGE, 2025, 308
  • [40] Psychosocial stress at work and musculoskeletal pain among police officers in special forces
    von dem Knesebeck, O
    David, K
    Siegrist, J
    GESUNDHEITSWESEN, 2005, 67 (8-9) : 674 - 679