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Research Article| Volume 14, ISSUE 5, P1384-1392, September 2021

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Combining proactive transcranial stimulation and cardiac biofeedback to substantially manage harmful stress effects

  • Sophie Schlatter
    Correspondence
    Corresponding author. Inter-University Laboratory of Human Movement Biology -EA 7424, University Claude Bernard Lyon 1, Villeurbanne, France.
    Affiliations
    Inter-University Laboratory of Human Movement Biology-EA 7424, University of Lyon, University Claude Bernard Lyon 1, 69 622, Villeurbanne, France

    Centre Lyonnais d’Enseignement par Simulation en Santé (CLESS, high fidelity medical simulation centre), SAMSEI, Lyon, France
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  • Aymeric Guillot
    Affiliations
    Inter-University Laboratory of Human Movement Biology-EA 7424, University of Lyon, University Claude Bernard Lyon 1, 69 622, Villeurbanne, France
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  • Laura Schmidt
    Affiliations
    Université Claude Bernard Lyon 1, Research on Healthcare Performance (RESHAPE), INSERM U1290, Lyon, France

    Centre Lyonnais d’Enseignement par Simulation en Santé (CLESS, high fidelity medical simulation centre), SAMSEI, Lyon, France
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  • Mathilde Mura
    Affiliations
    Inter-University Laboratory of Human Movement Biology-EA 7424, University of Lyon, University Claude Bernard Lyon 1, 69 622, Villeurbanne, France
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  • Robin Trama
    Affiliations
    Inter-University Laboratory of Human Movement Biology-EA 7424, University of Lyon, University Claude Bernard Lyon 1, 69 622, Villeurbanne, France
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  • Franck Di Rienzo
    Affiliations
    Inter-University Laboratory of Human Movement Biology-EA 7424, University of Lyon, University Claude Bernard Lyon 1, 69 622, Villeurbanne, France
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  • Marc Lilot
    Affiliations
    Université Claude Bernard Lyon 1, Research on Healthcare Performance (RESHAPE), INSERM U1290, Lyon, France

    Hospices Civils de Lyon, Departments of Anaesthesia and Intensive Care, University Claude Bernard Lyon 1, Lyon, France

    Centre Lyonnais d’Enseignement par Simulation en Santé (CLESS, high fidelity medical simulation centre), SAMSEI, Lyon, France
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  • Ursula Debarnot
    Affiliations
    Inter-University Laboratory of Human Movement Biology-EA 7424, University of Lyon, University Claude Bernard Lyon 1, 69 622, Villeurbanne, France

    Institut Universitaire de France, France
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Open AccessPublished:August 23, 2021DOI:https://doi.org/10.1016/j.brs.2021.08.019

      Highlights

      • Transcranial direct current stimulation (tDCS) and cardiac biofeedback (BFB) might help emotional control.
      • TDCS and BFB were either combined or applied alone during an anticipatory stress.
      • TDCS paired with BFB substantially reduced psychophysiological stress responses.
      • TDCS over the dlPFC did not modulate psychophysiological stress responses.
      • HRV Biofeedback during stress anticipation enhanced cognitive performance.

      Abstract

      Background

      Previous studies have identified the dorsolateral prefrontal cortex (dlPFC) as a core region in cognitive emotional regulation. Transcranial direct current stimulations of the dlPFC (tDCS) and heart-rate variability biofeedback (BFB) are known to regulate emotional processes. However, the effect of these interventions applied either alone or concomitantly during an anticipatory stress remains unexplored.

      Objective

      The study investigated the effect of anodal tDCS and BFB, alone or combined, on psychophysiological stress responses and cognitive functioning.

      Methods

      Following a stress anticipation induction, 80 participants were randomized into four groups and subjected to a 15-min intervention: neutral video viewing (ctrl), left dlPFC anodal tDCS (tdcs), heart-rate variability biofeedback (bfb), or a combined treatment (bfb + tdcs). Participants were then immediately confronted with the stressor, which was followed by an assessment of executive functions. Psychophysiological stress responses were assessed throughout the experiment (heart rate, heart-rate variability, salivary cortisol).

      Results

      The tdcs did not modulate stress responses. Compared with both ctrl and tdcs interventions, bfb reduced physiological stress and improved executive functions after the stressor. The main finding revealed that bfb + tdcs was the most effective intervention, yielding greater reduction in psychological and physiological stress responses than bfb.

      Conclusions

      Combining preventive tDCS with BFB is a relevant interventional approach to reduce psychophysiological stress responses, hence offering a new and non-invasive treatment of stress-related disorders. Biofeedback may be particularly useful for preparing for an important stressful event when performance is decisive.

      Keywords

      1. Introduction

      Psychosocially stressful situations are common, and the current COVID-19 pandemic situation has considerably worsened the occurrence of stress-related disorders [
      • Dedoncker J.
      • Vanderhasselt M.-A.
      • Ottaviani C.
      • Slavich G.M.
      Mental health during the covid-19 pandemic and beyond: the importance of the vagus nerve for biopsychosocial resilience.
      ]. Stress arises when environmental demands exceed the adaptive capacity of the organism, resulting in biological, psychological, and behavioral changes [
      ]. The acute stress response, underpinned by the activation of the sympathetic and the withdrawal of the parasympathetic systems, causes an increase both of the activity of the sweat glands and of glucocorticoid secretions and a decrease in heart-rate variability. When this stress response is recurrent, the risk of developing numerous physiological and psychological diseases, such as hypertension, burnout, generalized anxiety disorders, and depression, increases [
      ]. The stress response also affects major executive functions, such as working memory, flexibility, and inhibition [
      • Duan H.
      • Wang X.
      • Hu W.
      • Kounios J.
      Effects of acute stress on divergent and convergent problem-solving.
      ,
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      • Faes C.
      • Saruco E.
      • Collet C.
      • Di Rienzo F.
      • et al.
      Acute stress affects implicit but not explicit motor imagery: a pilot study.
      ,
      • Hsu F.C.
      • Garside M.J.
      • Massey A.E.
      • McAllister-Williams R.H.
      Effects of a single dose of cortisol on the neural correlates of episodic memory and error processing in healthy volunteers.
      ,
      • Plessow F.
      • Schade S.
      • Kirschbaum C.
      • Fischer R.
      Better not to deal with two tasks at the same time when stressed ? Acute psychosocial stress reduces task shielding in dual-task performance.
      ,
      • Schoofs D.
      • Preuß D.
      • Wolf O.T.
      Psychosocial stress induces working memory impairments in an n-back paradigm.
      ,
      • Taverniers J.
      • Van Ruysseveldt J.
      • Smeets T.
      • Von Grumbkow J.
      High-intensity stress elicits robust cortisol increases, and impairs working memory and visuo-spatial declarative memory in Special forces candidates: a field experiment.
      ,
      • Woodcock E.A.
      • Greenwald M.K.
      • Khatib D.
      • Diwadkar V.A.
      • Stanley J.A.
      Pharmacological stress impairs working memory performance and attenuates dorsolateral prefrontal cortex glutamate modulation.
      ]. Therefore, counteracting deleterious stress effects represents a crucial challenge in improving well-being and facing day-to-day constraints. Recent studies reported that cerebral stimulations and biofeedback might be relevant methods of counteracting particular facets of stress, but their potential preventive effects, notably the avoidance of cognitive deteriorations, remain to be determined [
      • Peña-Gómez C.
      • Vidal-Piñeiro D.
      • Clemente I.C.
      • Pascual-Leone Á.
      • Bartrés-Faz D.
      Down-regulation of negative emotional processing by transcranial direct current stimulation: effects of personality characteristics.
      ,
      • Brunoni A.R.
      • Vanderhasselt M.
      • Boggio P.S.
      • Fregni F.
      • Dantas E.M.
      • Mill J.G.
      • et al.
      Polarity- and valence-dependent effects of prefrontal transcranial direct current stimulation on heart rate variability and salivary cortisol.
      ,
      • DeWitte N.A.J.
      • Buyck I.
      • Van Daele T.
      Combining biofeedback with stress management interventions: a systematic review of physiological and psychological effects.
      ].
      Transcranial direct cerebral stimulation (tDCS) is a safe non-invasive technique, enabling the conditioning of the human cortex for up to 60 min, whereby anodal and cathodal stimulations respectively induce excitatory and inhibitory effects [
      • Nasseri P.
      • Nitsche M.A.
      • Ekhtiari H.
      A framework for categorizing electrode montages in transcranial direct current stimulation.
      ]. Anodal tDCS over the left dorsolateral prefrontal cortex (dlPFC) has been found to positively affect emotional regulation by reducing the perceived valence of negative stimuli, increasing heart-rate variability, and reducing cortisol levels [
      • Peña-Gómez C.
      • Vidal-Piñeiro D.
      • Clemente I.C.
      • Pascual-Leone Á.
      • Bartrés-Faz D.
      Down-regulation of negative emotional processing by transcranial direct current stimulation: effects of personality characteristics.
      ,
      • Brunoni A.R.
      • Vanderhasselt M.
      • Boggio P.S.
      • Fregni F.
      • Dantas E.M.
      • Mill J.G.
      • et al.
      Polarity- and valence-dependent effects of prefrontal transcranial direct current stimulation on heart rate variability and salivary cortisol.
      ]. Transcranial stimulation over the left dlPFC further contributed to improving many facets of performances [
      • Dedoncker J.
      • Brunoni A.R.
      • Baeken C.
      • Vanderhasselt M.A.
      A systematic review and meta-analysis of the effects of transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex in healthy and neuropsychiatric samples: influence of stimulation parameters.
      ] such as working memory [
      • Hoy K.E.
      • Emonson M.R.L.
      • Arnold S.L.
      • Thomson R.H.
      • Daskalakis Z.J.
      • Fitzgerald P.B.
      Testing the limits: investigating the effect of tDCS dose on working memory enhancement in healthy controls.
      ,
      • Ke Y.
      • Wang N.
      • Du J.
      • Kong L.
      • Liu S.
      • Xu M.
      • et al.
      The effects of transcranial direct current stimulation (tDCS) on working memory training in healthy young adults.
      ,
      • Ohn S.H.
      • Park C.
      • Yoo W.K.
      • Ko M.H.
      • Choi K.P.
      • Kim G.M.
      • et al.
      Time-dependent effect of transcranial direct current stimulation on the enhancement of working memory.
      ], shifting [
      • Strobach T.
      • Soutschek A.
      • Antonenko D.
      • Flöel A.
      • Schubert T.
      Modulation of executive control in dual tasks with transcranial direct current stimulation (tDCS).
      ], and inhibition abilities [
      • Jeon S.Y.
      • Han S.J.
      Improvement of the working memory and naming by transcranial direct current stimulation.
      ,
      • Loftus A.M.
      • Yalcin O.
      • Baughman F.D.
      • Vanman E.J.
      • Hagger M.S.
      The impact of transcranial direct current stimulation on inhibitory control in young adults.
      ]. Nevertheless, only one study has tested the effect of anodal left dlPFC stimulation within a stressful context [
      • Carnevali L.
      • Pattini E.
      • Sgoifo A.
      • Ottaviani C.
      Effects of prefrontal transcranial direct current stimulation on autonomic and neuroendocrine responses to psychosocial stress in healthy humans.
      ], showing a significant reduction in heart rate reactivity, but effects on cognition were not explored [
      • Carnevali L.
      • Pattini E.
      • Sgoifo A.
      • Ottaviani C.
      Effects of prefrontal transcranial direct current stimulation on autonomic and neuroendocrine responses to psychosocial stress in healthy humans.
      ]. In light of these findings, further research investigating the preventive effects of left dlPFC stimulation on stress and cognitive deterioration is therefore warranted.
      Another recent promising treatment for promoting emotion regulation is the heart-rate variability biofeedback (BFB) allowing to assess and display cardiac parameters in real time, hence fostering its conscious individual control. When paired with a slow-paced breathing exercise, BFB leads to an increase in heart-rate variability through respiratory sinus arrhythmia [
      • DeWitte N.A.J.
      • Buyck I.
      • Van Daele T.
      Combining biofeedback with stress management interventions: a systematic review of physiological and psychological effects.
      ,
      • Lehrer P.
      • Vaschillo E.
      • Vaschillo B.
      Resonant frequency biofeedback training to increase cardiac variability : rationale and manual for training.
      ,
      • Shaffer F.
      • McCraty R.
      • Zerr C.L.
      A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability.
      ]. A shift in activation from the sympathetic to the parasympathetic branch of the central nervous system contributes to reducing psychophysiological stress markers [
      • VanDiest I.
      • Verstappen K.
      • Aubert A.E.
      • Widjaja D.
      • Vansteenwegen D.
      • Vlemincx E.
      Inhalation/exhalation ratio modulates the effect of slow breathing on heart rate variability and relaxation.
      ,
      • Goessl V.C.
      • Curtiss J.E.
      • Hofmann S.G.
      The effect of heart rate variability biofeedback training on stress and anxiety: a meta-analysis.
      ]. In healthy adults, BFB contributes to improving vagal cardiac control and relaxation and reduces anxiety and subjective stress [
      • Sherlin L.
      • Gevirtz R.
      • Wyckoff S.
      • Muench F.
      Effects of respiratory sinus arrhythmia biofeedback versus passive biofeedback control.
      ,
      • Prinsloo G.E.
      • Derman W.E.
      • Lambert M.I.
      • Laurie Rauch H.G.
      The effect of a single session of short duration biofeedback-induced deep breathing on measures of heart rate variability during laboratory-induced cognitive stress: a pilot study.
      ,
      • Prinsloo G.E.
      • Rauch H.G.L.
      • Lambert M.I.
      • Muench F.
      • Noakes T.D.
      • Derman W.E.
      The effect of short duration heart rate variability (HRV) biofeedback on cognitive performance during laboratory induced cognitive stress.
      ,
      • Wells R.
      • Outhred T.
      • Heathers J.A.J.
      • Quintana D.S.
      • Kemp A.H.
      Matter over mind: a randomised-controlled trial of single-session biofeedback training on performance anxiety and heart rate variability in musicians.
      ,
      • Plans D.
      • Morelli D.
      • Sütterlin S.
      • Ollis L.
      • Derbyshire G.
      • Cropley M.
      Use of a biofeedback breathing app to augment poststress physiological recovery: randomized pilot study.
      ]. Early data indicated that a 10-min BFB intervention may improve cognition [
      • Prinsloo G.E.
      • Rauch H.G.L.
      • Lambert M.I.
      • Muench F.
      • Noakes T.D.
      • Derman W.E.
      The effect of short duration heart rate variability (HRV) biofeedback on cognitive performance during laboratory induced cognitive stress.
      ]. More recently, we found that 15 min of BFB improved the subjective performance of core executive functions [
      • Schlatter S.
      • Schmidt L.
      • Lilot M.
      • Guillot A.
      • Debarnot U.
      Implementing biofeedback as a proactive coping strategy: psychological and physiological effects on anticipatory stress.
      ]. Altogether, these results support the efficiency of BFB in stress coping, but its selective influence on executive skills during a stressful event remains to be determined.
      The timing of the delivery of a coping intervention remains crucial to eliciting efficient stress management. It has been generally assumed that the stress response occurs in ego-threatening, uncontrollable, and unpredictable situations [
      • Dickerson S.S.
      • Kemeny M.E.
      Acute stressors and cortisol responses: a theoretical integration and synthesis of laboratory research.
      ]. However, in many circumstances, stressful situations can be identified before the occurrence of the stressor [
      • Schlatter S.
      • Schmidt L.
      • Lilot M.
      • Guillot A.
      • Debarnot U.
      Implementing biofeedback as a proactive coping strategy: psychological and physiological effects on anticipatory stress.
      ]. The period of stress anticipation offers a great opportunity to practice preventive coping strategies, which should help to deal with the future stressor. Most of BFB and tDCS interventions have been implemented during or after the occurrence of the stressful event to foster stress recovery [
      • DeWitte N.A.J.
      • Buyck I.
      • Van Daele T.
      Combining biofeedback with stress management interventions: a systematic review of physiological and psychological effects.
      ,
      • Carnevali L.
      • Pattini E.
      • Sgoifo A.
      • Ottaviani C.
      Effects of prefrontal transcranial direct current stimulation on autonomic and neuroendocrine responses to psychosocial stress in healthy humans.
      ,
      • Plans D.
      • Morelli D.
      • Sütterlin S.
      • Ollis L.
      • Derbyshire G.
      • Cropley M.
      Use of a biofeedback breathing app to augment poststress physiological recovery: randomized pilot study.
      ,
      • Dillon A.
      • Kelly M.
      • Robertson I.H.
      • Robertson D.A.
      Smartphone applications utilizing biofeedback can aid stress reduction.
      ,
      • Bogdanov M.
      • Schwabe L.
      Transcranial stimulation of the dorsolateral prefrontal cortex prevents stress-induced working memory deficits.
      ]. Recent data suggest that BFB intervention prior the stressful event contributed to decrease anticipatory stress [
      • Schlatter S.
      • Schmidt L.
      • Lilot M.
      • Guillot A.
      • Debarnot U.
      Implementing biofeedback as a proactive coping strategy: psychological and physiological effects on anticipatory stress.
      ]. Additionally, Carnevali (2019) reported a reduction in physiological stress markers and anxiety when applying tDCS over the left dlPFC just before and during a stressful event. However, they did not assess the effect of the stimulation during the anticipation of a stressful event. Therefore, it remains to be experimentally investigated how left dlPFC stimulation and BFB during the period of stress anticipation might decrease the subsequent stress response and avoid cognitive deterioration.
      The present study aimed to investigate whether heart-rate variability BFB and left dlPFC anodal tDCS during the anticipation of a stressful event might reduce the psychophysiological stress response and prevent further cognitive deterioration. According to the modulating effects elicited by BFB and tDCS per se, we tested for the first time their potentiated effects when applied concomitantly.

      2. Methods and materials

      2.1 Participants

      Eighty-five healthy volunteers took part in the experiment. To be eligible, participants were required to be over 18 years of age, be right-handed (Edinburgh inventory score of >70), and have normal or corrected-to-normal vision. Exclusion criteria included self-reported history of head injury, regular drug use, contraindications for tDCS (e.g., head implant, pacemaker), diagnosed psychological disorders or chronic disease (e.g., epilepsy), and medication that could influence heart rate (e.g., beta-blockers, anti-anxiety medication). Participants received a detailed informative note and provided a written consent form in line with the Declaration of Helsinki [
      World medical association declaration of Helsinki: ethical principles for medical research involving human subjects.
      ]. The study was approved by the local institutional review board of the University.

      2.2 Experimental design

      Participants underwent two experimental sessions separated by at least one week (10 ± 3 days). In the first session, participants were tested in terms of three executive functions (Fig. 1A). In the second session, the impact of four experimental interventions (ctrl, bfb, tdcs, bfb + tdcs) delivered during the anticipation of a stressful event was determined. Immediately afterwards, participants were confronted with the stressor, which was followed by a second assessment of executive functions (Fig. 1B). To limit circadian effects, both sessions were scheduled during the afternoon (noon to 6 p.m.). Participants were asked to refrain from physical activity and food and caffeine intake 2 h before testing. Five participants were excluded from the analysis due to not obeying the instructions, leading to a final sample of 80 participants (22.71 ± 6.16 years old; 40 women; body mass index: 21.48 ± 2.18).
      Fig. 1
      Fig. 1Timeline of the experimental design.
      The cognitive tasks (Switch, 3-Back, Stroop) assessed the abilities of executive functions. The anticipatory stress was induced with Trier Social Anticipatory Stress (TSAS). Then, participants were randomly assigned to one of four intervention groups: neutral video (ctrl), heart-rate variability biofeedback (bfb), anodal dorsolateral prefrontal cortex stimulation (tdcs), or a combined method (bfb + tdcs). The acute stress was induced with the jury confrontation in the Trier Social Stress Test (TSST). Stress markers were assessed at different time-points (State-Trait-Anxiety Inventory; STAI-Y-B, Stanford Sleepiness Scale; SSS, Visual Analogue Scale; VAS stress, Activation–Deactivation Adjective Check List; AD-ACL, VAS performance, VAS diminution, cortisol) and continuously (cardiac parameters).

      2.3 First experimental session

      Participants were seated on a chair approximately 50 cm from a 17-inch computer screen. Anxiety trait (State-Trait-Anxiety Inventory; STAI-Y-B; Cronbach's α 0.90), level of vigilance (Stanford Sleepiness Scale; SSS), and level of subjective stress (Visual Analogue Scale 10 cm; VAS stress, from zero to maximum) were assessed [
      • Spielberger C.
      • Gorsuch R.
      • Lushene P.
      • Vagg P.
      • Jacobs A.
      Manual for the state trait anxiety inventory (form Y).
      ,
      • Hoddes E.
      • Zarcone V.
      • Smythe H.
      • Phillips R.
      • Dement W.
      Quantification of sleepiness: a new approach.
      ].

      2.3.1 Cognition

      Participants undertook three randomized cognitive tasks assessing three main executive functions: shifting (Switch), working memory (3-Back), and inhibition (Stroop) (Fig. 2; Appendix Text A). Behavioral data were collected using the software PsyToolkit [
      • Stoet G.
      PsyToolkit: a software package for programming psychological experiments using Linux.
      ,
      • Stoet G.
      PsyToolkit: a novel web-based method for running online questionnaires and reaction-time experiments.
      ]. For all tasks, the maximal response time was 2 s, and feedback was provided. For the Switch task, the participants made a cued binary decision about one of two possible tasks (color or shape). For the 3-Back task, participants had to determine if a letter had earlier appeared three times among 15 possible letters that were presented separately in a randomized order. For the Stroop task, participants were asked to identify the colors of written words while ignoring the meaning of the word. We assessed the global effect on executive performance by calculating two general performance scores based on error rates (ERs) and response times (RTs; in milliseconds) in each task:
      • (1)
        error score: (ERSwitch+ ER3-Back+ ERStroop)/3
      • (2)
        response time score: (RTSwitch+ RT3-Back+ RTStroop)/3
      Fig. 2
      Fig. 2Cognitive tasks.
      The Switch, 3-Back, and Stroop tests were performed to assess executive functions.

      2.4 Second experimental session

      Participants were first equipped with a connected tee-shirt allowing continuous tracking of cardiac activities (Hexoskin™; Carre Technologies Inc., Montreal, Canada). Then, the experiment was divided into five main periods: 6-min baseline (basal), anticipatory stress induction (Trier Social Anticipatory Stress; tsas), intervention (intervention), stressor occurrence (stress), and cognitive tasks (cognition s2) (Fig. 1B). The same three executive functioning tasks were performed in the second experimental sessions.

      2.4.1 Anticipatory stress

      For the stress anticipation induction, participants performed the Trier Social Anticipatory Stress test (TSAS; 23). Participants were informed that, after 15 min of video viewing, breathing exercise, or cerebral stimulation, a panel of two people would evaluate their performance in two tasks (i.e., a job interview and mental arithmetic). The panel was always presented as hierarchical superiors of the experimenter. Participants were informed that performances would be video-recorded. Then, the experimenter left the room for 2 min.

      2.4.2 Interventions

      Once the experimenter returned to the experimental room, all participants were equipped with an ear pulse sensor recording their cardiac activity at 370 Hz (emWavePRO®; HeartMath Technologies; Add Heart®). Subsequently, they were allocated to a 15-min intervention following an a priori stratified randomization controlling for gender proportion: neutral video (ctrl, n = 20), heart-rate variability BFB (bfb, n = 20), dlPFC tDCS (tdcs, n = 20), or BFB paired with dlPFC tDCS (bfb + tdcs, n = 20).

      2.4.2.1 Heart-rate variability biofeedback

      For the bfb and bfb + tdcs interventions, the experimenter presented the visual interface composed of the cardiorespiratory signal and the breathing cursor displayed on a 17-inch computer screen (emWavePRO® interface). Participants were instructed to follow a standardized visual breathing cursor, leading inspiration and expiration at a rate of 6 breaths/min (Appendix Fig. B).

      2.4.2.2 Transcranial direct cerebral stimulation

      The tDCS (NIC2, NE®, v2.0.11.1, Barcelona, Spain) intervention was delivered in both the tdcs and bfb + tdcs groups through two saline-soaked sponge electrodes (25 cm2). An anode was localized over the left dlPFC and a cathode over the contralateral supraorbital area, referred to as F3 and Fp2, respectively (International 10–20 System). Electric stimulation was delivered for 15 min at 1.6 mA (current density = 0.064 mA/cm2), including 30 s of ramp-up/-down time (Fig. 3).
      Fig. 3
      Fig. 3Model of electric field induced by left dorsolateral prefrontal cortex anodal stimulation.
      For transcranial direct cerebral stimulation (tDCS) interventions, an anode was situated over the left dorsolateral prefrontal cortex (F3) and a cathode placed over the contralateral supraorbital area (Fp2), according to the International 10–20 system. tDCS is a safe, non-invasive method.

      2.4.3 Stress

      Immediately after the intervention, the experimenter left the room, while the panel of two people arrived. The panel always consisted of a woman and a man, who were unknown by the participant and blind to the type of prior intervention. The participants then underwent the Trier Social Stress Test (stress), which consisted of 5 min of a mock job interview followed by 5 min of a difficult mental arithmetic task in front of the panel composed of two cold experimenters [
      • Kirschbaum C.
      • Pirke K.M.
      • Hellhammer D.H.
      The ’Trier Social Stress Test’- a tool for investigating psychobiological stress responses in a laboratory setting.
      ,
      • Shields G.S.
      • Slavich G.M.
      Lifetime stress exposure and health: a review of contemporary assessment methods and biological mechanisms.
      ].

      2.5 Dependent variables controlling psychophysiological stress

      2.5.1 Instantaneous psychometric measures

      All participants rated how stressfully they experienced the immediate situation (VAS stress) at the beginning of session 2 (basal) and after the tsas, the intervention, and the stress. Before and after the intervention, they completed the Activation–Deactivation Adjective Check List (AD-ACL) assessing the evolution of their relaxation and activation levels [
      • Thayer R.E.
      Measurement of activation through self-report.
      ]. Internal consistency across the AD-ACL subscales at both measure points was acceptable (Cronbach's α 0.77 to 0.88).

      2.5.2 Autonomic nervous system measures

      The participants’ average heart rates were recorded during the five experimental periods (basal, tsas, intervention, stress, cognition s2). According to taskforce recommendations, heart-rate variability parameters were extracted from 5-min segments in the basal, intervention, stress, and cognition s2 periods. The detection of artifacts and extraction of time and frequency domains were performed using MATLAB software (R2019a®). For the time domain, we calculated the root mean square successive difference (RMSSD, in ms), the standard deviation of R–R intervals (SDRR, in ms), and the percentage of successive normal R–R intervals differing by more than 50 ms (pNN50, in ms). For the frequency domain, we quantified the power of low (LF: 0.04–0.15 Hz) and high (HF: 0.15–0.40 Hz) frequencies, then the ratio LF/HF was calculated. Saliva samples were collected before the basal and after the intervention, stress, and cognition s2 periods. Salivettes devices (Sarstedt®) were conserved in ice before centrifugation (5 min, 5000 rpm) and stored at −20 °C. Salivary cortisol concentrations were assayed using a competitive enzyme-linked immunosorbent kit (Cortisol ELISA kit; abcam®).

      2.5.3 Debriefing judgments

      After the cognition s2 period, participants rated how the intervention enabled them to reduce their overall stress (VAS diminution, from absolutely not to completely) and influenced their performance in the cognitive tasks (VAS performance, from negatively to positively).

      2.6 Statistical analysis

      Statistical analyses were performed using the R freeware (v3.6.3). We used linear mixed effects with a by-subject random intercept (lme function, nmle package) [
      • Pinheiro J.
      • Bates D.
      • DebRoy S.
      • Sarkar D.
      Linear and nonlinear mixed effects models.
      ]. All models tested the GROUP × TIME interaction. To investigate the effect on VAS stress and heart rate, we entered TIME (basal, tsas, intervention, stress, cognition s2) and GROUP (ctrl, bfb, tdcs, bfb + tdcs) as fixed effects. To examine the effect of GROUP on relaxation and activation levels, we entered TIME (pre-intervention, post-intervention) and GROUP. For heart-rate variability and cortisol analyses, we entered TIME (basal, intervention, stress, cognition s2) and GROUP as fixed effects. The effect on cognition (error score and response time score) was analyzed with TIME (session 1, session 2) and GROUP as fixed effects. The effects of GROUP on debriefing judgments (VAS diminution, VAS performance) were investigated with one-way ANOVAs. Visual inspection of the residual plots did not reveal any obvious deviation from homoscedasticity or normality. The statistical significance threshold was set for a type 1 error rate of α = 5%. Holm correction for multiple post-hoc testing was employed. Effects sizes were determined for GROUP (Rp2 and η2) and TIME (Rp2) effects, as well as GROUP × TIME (Rp2) interaction, while Cohen's d were provided when comparing two groups. The intended sample size was calculated using G∗Power (v3.1.9.4) for repeated measures and within-between interaction design. An a priori power calculation based on medium effect size (f = 0.20, α = 5%, 1 – β = 0.85) resulted in a total sample size of 76 participants [
      • Brunoni A.R.
      • Vanderhasselt M.A.
      Working memory improvement with non-invasive brain stimulation of the dorsolateral prefrontal cortex: a systematic review and meta-analysis.
      ]. To prevent probable attrition, data losses or both, we recruited 10% additional volunteers (n = 85).

      3. Results

      All groups were equivalent in terms of demographic characteristics and exhibited similar anxiety traits and depressive symptoms. At the beginning of both sessions, all groups were also similar in subjective stress (VAS stress) and vigilance level (SSS) (Appendix Table C).

      3.1 Analysis of dependent variables controlling psychophysiological stress

      All significant GROUP × TIME interactions are presented in Table 1, Table 2. All TIME and GROUP effects with post-hoc comparisons are detailed in Appendix Tables D and E, respectively.
      Table 1TIME × GROUP interactions for psychological stress markers.


      time
      groupAD-ACL relaxationAD-ACL activation
      estimateSEp valueestimateSEp value
      pre-intervention

      vs

      post-intervention
      ctrl vs bfb- 0.390.190.1970.230.261.000
      ctrl vs tdcs- 0.360.190.1970.100.261.000
      ctrl vs bfb + tdcs- 0.760.190.0010.850.260.010
      bfb vs tdcs0.030.190.891- 0.120.261.000
      bfb vs bfb + tdcs- 0.370.190.1970.630.260.075
      tdcs vs bfb + tdcs- 0.400.190.1970.750.260.027
      Values are expressed as estimated difference ± standard error (SE). Significant and trend (p < 0.10) post-hoc comparisons are in bold.
      Table 2TIME × GROUP interactions for physiological stress markers.
      timegroupSDRRpNN50LF/HF
      estimateSEp valueestimateSEp valueestimateSEp value
      basal

      vs

      intervention
      ctrl vs bfb- 29.778.040.010- 5.753.851.000- 0.7860.1060.001
      ctrl vs tdcs- 3.538.241.000- 0.233.951.0000.0230.1081.000
      ctrl vs bfb + tdcs- 32.818.240.003- 10.113.950.390- 1.0950.1080.001
      bfb vs tdcs26.237.920.0315.533.791.0000.8090.1040.001
      bfb vs bfb + tdcs- 3.047.921.000- 4.353.791.000- 0.3090.1040.073
      tdcs vs bfb + tdcs- 29.288.120.013- 9.883.890.402- 1.1190.1070.001
      intervention

      vs

      stress
      ctrl vs bfb- 25.478.240.043- 5.683.851.000- 0.7280.1060.001
      ctrl vs tdcs1.208.241.000- 5.053.951.0000.0400.1081.000
      ctrl vs bfb + tdcs- 28.378.240.022- 14.583.950.010- 1.0700.1080.001
      bfb vs tdcs26.687.920.0270.633.791.0000.7680.1040.001
      bfb vs bfb + tdcs- 2.897.921.000- 8.903.790.615- 0.3420.1040.027
      tdcs vs bfb + tdcs- 29.578.120.012- 9.533.890.500- 1.1100.1070.001
      stress

      vs

      cognition s2
      ctrl vs bfb- 1.118.041.0001.983.851.0000.0620.1061.000
      ctrl vs tdcs- 1.088.241.0008.543.950.917- 0.0280.1081.000
      ctrl vs bfb + tdcs2.158.241.0008.783.950.8170.0160.1081.000
      bfb vs tdcs0.037.921.0006.563.791.000- 0.0900.1041.000
      bfb vs bfb + tdcs3.267.921.0006.793.791.000- 0.0460.1041.000
      tdcs vs bfb + tdcs3.238.121.0000.243.891.0000.0430.1071.000
      Values are expressed as estimated difference ± standard error (SE). Significant and trend (p < 0.10) post-hoc comparisons are in bold.

      3.1.1 Instantaneous psychometric measures

      The analysis of VAS stress revealed no GROUP × TIME interaction (χ2 [
      • DeWitte N.A.J.
      • Buyck I.
      • Van Daele T.
      Combining biofeedback with stress management interventions: a systematic review of physiological and psychological effects.
      ] = 18.69, p = 0.10), whereas the data for relaxation level showed a GROUP × TIME interaction (χ2 [
      • Duan H.
      • Wang X.
      • Hu W.
      • Kounios J.
      Effects of acute stress on divergent and convergent problem-solving.
      ] = 16.14, p = 0.001, Rp2 = 0.03); during the intervention, the relaxation level increased considerably more in the bfb + tdcs than in the ctrl group. A GROUP × TIME interaction (χ2 [
      • Duan H.
      • Wang X.
      • Hu W.
      • Kounios J.
      Effects of acute stress on divergent and convergent problem-solving.
      ] = 12.89, p < 0.01, Rp2 = 0.04) was also found for the activation level, the decrease in activation being higher in the bfb + tdcs than in both ctrl and tdcs groups (Table 1).

      3.1.2 Autonomic nervous system measures

      3.1.2.1 Heart rate and heart-rate variability

      Analysis of heart rate showed no GROUP × TIME interaction (χ2 [
      • DeWitte N.A.J.
      • Buyck I.
      • Van Daele T.
      Combining biofeedback with stress management interventions: a systematic review of physiological and psychological effects.
      ] = 13.09, p = 0.362). Analysis of heart-rate variability showed a trend on RMSSD (χ2 [
      • Woodcock E.A.
      • Greenwald M.K.
      • Khatib D.
      • Diwadkar V.A.
      • Stanley J.A.
      Pharmacological stress impairs working memory performance and attenuates dorsolateral prefrontal cortex glutamate modulation.
      ] = 16.55, p = 0.056). Significant GROUP × TIME interactions were found for SDRR (Fig. 4A; χ2 [
      • Woodcock E.A.
      • Greenwald M.K.
      • Khatib D.
      • Diwadkar V.A.
      • Stanley J.A.
      Pharmacological stress impairs working memory performance and attenuates dorsolateral prefrontal cortex glutamate modulation.
      ] = 36.49, p < 0.0001, Rp2 = 0.05) and pNN50 values (χ2 [
      • Woodcock E.A.
      • Greenwald M.K.
      • Khatib D.
      • Diwadkar V.A.
      • Stanley J.A.
      Pharmacological stress impairs working memory performance and attenuates dorsolateral prefrontal cortex glutamate modulation.
      ] = 21.30, p = 0.011, Rp2 = 0.03). The model of the LF/HF ratio also revealed an interaction (Fig. 4B; χ2 [
      • Woodcock E.A.
      • Greenwald M.K.
      • Khatib D.
      • Diwadkar V.A.
      • Stanley J.A.
      Pharmacological stress impairs working memory performance and attenuates dorsolateral prefrontal cortex glutamate modulation.
      ] = 236.21, p < 0.0001, Rp2 = 0.26). Overall, post-hoc tests systematically demonstrated an advantage for interventions including BFB (i.e., bfb and tdcs + bfb) and additionally revealed a greater improvement in LF/HF ratio following tdcs + bfb intervention (Table 2). The improvement in LF/HF ratio is driven by an improvement of LF (Appendix Fig. F).
      Fig. 4
      Fig. 4Evolution of heart-rate variability.
      The figure displays GROUP × TIME interactions with 95% confidence intervals. (A) SDRR. (B) LF/HF ratio.

      3.1.2.2 Cortisol

      No significant GROUP × TIME interaction was observed (χ2[9] = 10.86, p = 0.285)


      3.1.3 Debriefing judgments

      The ANOVA on VAS diminution revealed a GROUP effect (F3,76 = 6.39, p < 0.001, η2 = 0.20; Fig. 5A). Scores were higher in the bfb + tdcs than in the ctrl (Cohen's d = 1.29), bfb (Cohen's d = 0.81), and tdcs groups (Cohen's d = 1.24), highlighting that combined intervention was judged as the most efficient intervention for reducing stress. The ANOVA on VAS performance revealed a main GROUP effect (F3,76 = 7.47, p < 0.001, η2 = 0.23). Participants in both BFB groups estimated that the intervention had a positive impact on their cognitive performance, and this impact was better compared to the ctrl (ctrl vs bfb Cohen's d = 0.94, ctrl vs bfb + tdcs Cohen's d = 1.27) and tdcs groups (tdcs vs bfb Cohen's d = 0.82, tdcs vs bfb + tdcs Cohen's d = 1.13) (Fig. 5B).
      Fig. 5
      Fig. 5Debriefing judgments.
      (A) Subjective impact of the intervention on global stress diminution (from 0 = absolutely not, to 10 = completely). (B) Subjective impact of the intervention on performance (from 0 = negative, to 10 = positive). A score equal to five represented a null effect.

      3.2 Analysis of executive cognitive functions

      Analysis of error rates revealed a GROUP × TIME interaction (χ2 [
      • Duan H.
      • Wang X.
      • Hu W.
      • Kounios J.
      Effects of acute stress on divergent and convergent problem-solving.
      ] = 14.58, p = 0.002, Rp2 = 0.03), showing that improvement in accuracy was greater in the bfb group (Table 3). In addition, improvement was slightly higher in the bfb + tdcs than in the tdcs group (no significant). Analysis of response times showed no GROUP × TIME interaction (χ2 [
      • Duan H.
      • Wang X.
      • Hu W.
      • Kounios J.
      Effects of acute stress on divergent and convergent problem-solving.
      ] = 5.04, p = 0.168). Raw data with GROUP and TIME effects are presented in Appendix (Table G).
      Table 3TIME × GROUP interactions for error score.


      time
      groupError score
      estimateSEp value
      Session 1 vs

      Session 2
      ctrl vs bfb1.480.550.044
      ctrl vs tdcs- 0.400.560.799
      ctrl vs bfb + tdcs1.000.570.240
      bfb vs tdcs- 1.880.560.007
      bfb vs bfb + tdcs- 0.480.570.799
      tdcs vs bfb + tdcs1.400.570.066
      Values are expressed as estimated difference ± standard error (SE). Significant and trend (p < 0.10) post-hoc comparisons are in bold.

      4. Discussion

      This study investigated whether interventions of dlPFC anodal tDCS and BFB delivered – alone or concomitantly – during an anticipatory stress period might contribute to decreasing the psychophysiological stress response and further preserve executive abilities. The findings revealed a selective effect of these treatments on the psychological, physiological, and cognitive responses of stress. Proactive short BFB treatment reduced physiological stress and improved accuracy performances in executive functions, while combining BFB with tDCS strongly alleviated physiological and psychological stress responses. No effects of tDCS over the dlPFC were detected, when applied alone.
      The first main finding of the present study is that physiological responses of stress were substantially reduced after 15 min of BFB applied alone during the anticipation of a stressful event. Participants subjected to the BFB experienced improved heart-rate variability features (SDRR, pNN50, LF/HF). Heart-rate variability is a reliable indicator of the adaptability of an organism and can be considered a relevant marker of health [
      • DeWitte N.A.J.
      • Buyck I.
      • Van Daele T.
      Combining biofeedback with stress management interventions: a systematic review of physiological and psychological effects.
      ,
      • Shaffer F.
      • McCraty R.
      • Zerr C.L.
      A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability.
      ,
      • Goessl V.C.
      • Curtiss J.E.
      • Hofmann S.G.
      The effect of heart rate variability biofeedback training on stress and anxiety: a meta-analysis.
      ,
      • Berry M.E.
      • Chapple I.T.
      • Ginsberg J.P.
      • Gleichauf K.J.
      • Meyer J.A.
      • Nagpal M.L.
      Non-pharmacological intervention for chronic pain in veterans: a pilot study of heart rate variability biofeedback.
      ,
      • Gevirtz R.
      The promise of heart rate variability biofeedback: evidence-based applications.
      ]. Our results reinforce previous findings suggesting that BFB is an efficient coping method for reducing psychophysiological stress responses [
      • Sherlin L.
      • Gevirtz R.
      • Wyckoff S.
      • Muench F.
      Effects of respiratory sinus arrhythmia biofeedback versus passive biofeedback control.
      ,
      • Prinsloo G.E.
      • Derman W.E.
      • Lambert M.I.
      • Laurie Rauch H.G.
      The effect of a single session of short duration biofeedback-induced deep breathing on measures of heart rate variability during laboratory-induced cognitive stress: a pilot study.
      ,
      • Prinsloo G.E.
      • Rauch H.G.L.
      • Lambert M.I.
      • Muench F.
      • Noakes T.D.
      • Derman W.E.
      The effect of short duration heart rate variability (HRV) biofeedback on cognitive performance during laboratory induced cognitive stress.
      ,
      • Wells R.
      • Outhred T.
      • Heathers J.A.J.
      • Quintana D.S.
      • Kemp A.H.
      Matter over mind: a randomised-controlled trial of single-session biofeedback training on performance anxiety and heart rate variability in musicians.
      ,
      • Whited A.
      • Larkin K.T.
      • Whited M.
      Effectiveness of emWave biofeedback in improving heart rate variability reactivity to and recovery from stress.
      ]. More importantly, present data showed that proactive BFB has long-lasting effects on cognitive responses; following the stressful event, participants from the BFB group had the greatest improvement in the accuracy of executive functioning. The cognitive benefits induced by BFB intervention were reinforced by the subjective ratings. Both BFB groups, alone or combined with tDCS, judged that their intervention had a positive influence on their cognitive abilities. Although exploration of BFB effects on cognitive performance remains sparse [
      • Prinsloo G.E.
      • Rauch H.G.L.
      • Lambert M.I.
      • Muench F.
      • Noakes T.D.
      • Derman W.E.
      The effect of short duration heart rate variability (HRV) biofeedback on cognitive performance during laboratory induced cognitive stress.
      ,
      • Schlatter S.
      • Schmidt L.
      • Lilot M.
      • Guillot A.
      • Debarnot U.
      Implementing biofeedback as a proactive coping strategy: psychological and physiological effects on anticipatory stress.
      ], the positive impact of BFB on sport performance has been investigated more extensively [
      • Jiménez Morgan S.
      • Molina Mora J.A.
      Effect of heart rate variability biofeedback on sport performance, a systematic review.
      ]. Together, our results extend previous findings supporting the benefits of BFB on performance. Furthermore our findings demonstrated, for the first time, the preventive effects of BFB applied during an anticipatory stress on following cognitive performance.
      A second important finding is that combining BFB and tDCS contributed substantially to managing stress. The concomitant effect of the bfb + tdcs intervention induced a significant improvement in heart-rate variability along with a strongly potentiated LF/HF ratio. The LF/HF ratio provides information about the relationship of vagal input to the other causes of variability [
      • Shaffer F.
      • McCraty R.
      • Zerr C.L.
      A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability.
      ,
      • Malliani A.
      Heart rate variability: from bench to bedside.
      ,
      • Shaffer F.
      • Ginsberg J.P.
      An overview of heart rate variability metrics and norms.
      ]. During periods of slow respiration rates, vagal activity generates oscillations in the LF band [
      • Shaffer F.
      • Ginsberg J.P.
      An overview of heart rate variability metrics and norms.
      ]. Thus here high LF/HF ratio is ought to reflect a greater vagal cardiac control. A recent review article highlighted the importance of stimulating the vagus nerve for improving resilience, notably for coping with the COVID-19 [
      • Dedoncker J.
      • Vanderhasselt M.-A.
      • Ottaviani C.
      • Slavich G.M.
      Mental health during the covid-19 pandemic and beyond: the importance of the vagus nerve for biopsychosocial resilience.
      ]. The improvement is thought to rely on body–mind interactions, which are carried out via a bidirectional communication pathway between the central nervous system and the body through the vagus nerve [
      • Dedoncker J.
      • Vanderhasselt M.-A.
      • Ottaviani C.
      • Slavich G.M.
      Mental health during the covid-19 pandemic and beyond: the importance of the vagus nerve for biopsychosocial resilience.
      ]. Here, the increased LH/HF ratio through the bfb + tdcs intervention might offer an efficient non-invasive method of simulating the vagus nerve. The subjective assessments also confirmed the positive effects of combining BFB and tDCS, which led to a greater level of relaxation during the anticipation period, similarly the debriefing judgments attested the highest decrease in the perceived stress throughout the experiment.
      These original results demonstrate that the combined bfb + tdcs intervention is a relevant, safe, and effective proactive coping method. In addition, our results provided empirical data for the recent hypothesis of Mather and Thayer (2018), who suggested that high-amplitude oscillations in heart rate induce oscillatory activity in the brain, which enhances connectivity in the brain networks associated with emotion regulation (e.g., amygdala, medial prefrontal regions) [
      • Mather M.
      • Thayer J.F.
      How heart rate variability affects emotion regulation brain networks.
      ]. Multi-sessions of BFB and anodal tDCS over the left dlPFC were found to substantially decrease stress-relative symptoms in individuals suffering from generalized anxiety disorders, post-traumatic stress syndrome, and depression [
      • Berry M.E.
      • Chapple I.T.
      • Ginsberg J.P.
      • Gleichauf K.J.
      • Meyer J.A.
      • Nagpal M.L.
      Non-pharmacological intervention for chronic pain in veterans: a pilot study of heart rate variability biofeedback.
      ,
      • Martens R.
      • Vealey R.S.
      • Burton D.
      Competitive anxiety in sport.
      ,
      • Siepmann M.
      • Aykac V.
      • Unterdörfer J.
      • Petrowski K.
      • Mueck-Weymann M.
      A pilot study on the effects of heart rate variability biofeedback in patients with depression and in healthy subjects.
      ,
      • Caldwell Y.T.
      • Steffen P.R.
      Adding HRV biofeedback to psychotherapy increases heart rate variability and improves the treatment of major depressive disorder.
      ,
      • Meyer P.
      • Friederich H.
      • Zastrow A.
      Breathe to ease - respiratory biofeedback to improve heart rate variability and coping with stress in obese patients : a pilot study.
      ,
      • Hallman D.M.
      • Olsson E.M.G.
      • von Scheele B.
      • Melin L.
      • Lyskov E.
      Effects of heart rate variability biofeedback in subjects with stress-related chronic neck pain: a pilot study.
      ,
      • Boggio P.S.
      • Rigonatti S.P.
      • Ribeiro R.B.
      • Myczkowski M.L.
      • Nitsche M.A.
      • Pascual-leone A.
      • et al.
      A randomized, double-blind clinical trial on the efficacy of cortical direct current stimulation for the treatment of major depression.
      ]. The present results are therefore of major importance for the design of innovative combined BFB and tDCS interventions and should now be confirmed in patients suffering from stress-related disorders before being implemented in clinical settings. While fixed 6 bpm breathing is convenient and efficient [
      • Shaffer F.
      • McCraty R.
      • Zerr C.L.
      A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability.
      ,
      • Wells R.
      • Outhred T.
      • Heathers J.A.J.
      • Quintana D.S.
      • Kemp A.H.
      Matter over mind: a randomised-controlled trial of single-session biofeedback training on performance anxiety and heart rate variability in musicians.
      ,
      • Schlatter S.
      • Schmidt L.
      • Lilot M.
      • Guillot A.
      • Debarnot U.
      Implementing biofeedback as a proactive coping strategy: psychological and physiological effects on anticipatory stress.
      ,
      • Meier N.F.
      • Welch A.S.
      Walking versus biofeedback: a comparison of acute interventions for stressed students.
      ], future studies investigating long term effects of combined BFB and tDCS might benefit from a priori determination of individual resonance frequency following Lehrer's procedure [
      • Lehrer P.
      • Vaschillo E.
      • Vaschillo B.
      Resonant frequency biofeedback training to increase cardiac variability : rationale and manual for training.
      ]. Training individual to their own respiratory frequency is expected to be more comfortable for participant and further potentiate the biofeedback effectiveness of repeated interventions. Finally, the impact of bfb + tdcs on executive functions revealed mixed effects. Although debriefing judgments suggested that participants in the bfb + tdcs group felt that they were more efficient during cognitive assessments, behavioral data were not congruent. As the bfb + tdcs participants demonstrated the lowest score in activation level following the intervention, we postulate that a deactivation might have affected the optimal arousal level needed to perform well in the cognitive tasks [
      • Delignières D.
      Anxiété et performance.
      ]. This remains a working hypothesis awaiting further experimental investigation.
      Surprisingly, our data did not reveal significant improvement in psychophysiological stress markers and cognition following the tdcs intervention. To date, there is no clear consensus regarding the effects of dlPFC stimulation on emotional regulation. Some authors reported no impact at all [
      • DeWitte S.
      • Baeken C.
      • Pulopulos M.M.
      • Josephy H.
      • Schiettecatte J.
      • Anckaert E.
      • et al.
      The effect of neurostimulation applied to the left dorsolateral prefrontal cortex on post-stress adaptation as a function of depressive brooding.
      ,
      • Marques L.M.
      • Morello L.Y.N.
      • Boggio P.S.
      Ventrolateral but not dorsolateral prefrontal cortex tDCS effectively impact emotion reappraisal – effects on emotional experience and interbeat interval.
      ], whereas others observed greater emotional regulation [
      • Brunoni A.R.
      • Vanderhasselt M.
      • Boggio P.S.
      • Fregni F.
      • Dantas E.M.
      • Mill J.G.
      • et al.
      Polarity- and valence-dependent effects of prefrontal transcranial direct current stimulation on heart rate variability and salivary cortisol.
      ,
      • Carnevali L.
      • Pattini E.
      • Sgoifo A.
      • Ottaviani C.
      Effects of prefrontal transcranial direct current stimulation on autonomic and neuroendocrine responses to psychosocial stress in healthy humans.
      ,
      • Brunoni A.R.
      • Zanao T.A.
      • Vanderhasselt M.
      • Valiengo L.
      • De Oliveira J.F.
      • Boggio P.S.
      • et al.
      Enhancement of affective processing induced by bifrontal transcranial direct current stimulation in patients with major depression.
      ]. One possible explanation for this discrepancy may relate to the difference in the timing of the stimulation, where benefits to emotional regulation might be restricted to concomitant stimulation and stress event occurrence [
      • Carnevali L.
      • Pattini E.
      • Sgoifo A.
      • Ottaviani C.
      Effects of prefrontal transcranial direct current stimulation on autonomic and neuroendocrine responses to psychosocial stress in healthy humans.
      ]. Similarly, positive effects on cognition were most frequently reported when the cerebral stimulation was applied during the cognitive tasks [
      • Ankri Y.L.E.
      • Braw Y.
      • Luboshits G.
      • Meiron O.
      The effects of stress and transcranial direct current stimulation (tDCS) on working memory: a randomized controlled trial.
      ,
      • Ikeda T.
      • Takahashi T.
      • Hiraishi H.
      • Saito D.N.
      • Kikuchi M.
      Anodal transcranial direct current stimulation induces high gamma-band activity in the left dorsolateral prefrontal cortex during a working memory task: a double-blind, randomized, crossover study.
      ]. The lack of further improvement in cognition in the tdcs group might also be explained by the site of the stimulation [
      • Brunoni A.R.
      • Nitsche M.A.
      • Bolognini N.
      • Bikson M.
      • Wagner T.
      • Merabet L.
      • et al.
      Clinical research with transcranial direct current stimulation (tDCS): challenges and future directions.
      ]. Other sites of stimulation, such as the inferior frontal gyrus, the inferior frontal cortex, or the left parietal cortex, might be more relevantly targeted to increase cognitive performance [
      • Debarnot U.
      • Schlatter S.
      • Monteil J.
      • Guillot A.
      Early stimulation of the left posterior parietal cortex promotes representation change in problem solving.
      ,
      • Hertenstein E.
      • Waibel E.
      • Frase L.
      • Riemann D.
      • Feige B.
      • Nitsche M.A.
      • et al.
      Modulation of creativity by transcranial direct current stimulation.
      ,
      • Giustolisi B.
      • Vergallito A.
      • Cecchetto C.
      • Varoli E.
      • Romero Lauro L.J.
      Anodal transcranial direct current stimulation over left inferior frontal gyrus enhances sentence comprehension.
      ,
      • Hogeveen J.
      • Grafman J.
      • Aboseria M.
      • David A.
      • Bikson M.
      • Hauner K.K.
      Effects of high-definition and conventional tDCS on response inhibition.
      ]. One another possible explanation for the absence of tDCS effects is the relatively low spatial resolution of tDCS, which enable cortical areas adjacent to the dlPFC to also receive stimulation. Nevertheless, the brain current density is expected to be highest in cortical areas that are directly below the anodal electrode and decreases as the distance from the electrodes increases [
      • Miranda P.C.
      • Lomarev M.
      • Hallett M.
      Modeling the current distribution during transcranial direct current stimulation.
      ,
      • Wagner S.
      • Rampersad S.M.
      • Aydin Ü.
      • Vorwerk J.
      • Oostendorp T.F.
      • Neuling T.
      • et al.
      Investigation of tDCS volume conduction effects in a highly realistic head model.
      ]. Overall, interpreting the lack of effects of tDCS in the present study remains difficult due to the absence of previous experimental work dealing with the interaction between stress, cerebral stimulation, and cognition. Futures investigations should specifically examine the optimal tDCS parameters that might contribute to emotional regulation in the context of stress.
      This study had some limitations. As executive function skills are highly dependent on the individual, this study opted for an intra-individual design to limit group effects. One unexpected finding was the improvement of both response time and accuracy in all groups, supporting a learning effect without additional enhancement after cerebral stimulation. It is possible that a learning effect somewhat masked putative additional benefit. An important point to raise is the self-reported nature of disease, smoking habit, and/or drug use by the participants when engaging in the experiment. As no physical or laboratory examination was performed, one cannot completely exclude the possibility of hidden chronic disease or drug use in this population, which may have influenced the effects of the intervention. Further studies controlling for learning effects are also necessary to understand in greater detail how BFB and tDCS may interact with cognition in a stress context. Finally, our design did not include sham groups, and future studies might include sham-condition and/or a reversed polarity brain stimulation setting. In particular, the effects of preventive sham-tDCS paired with biofeedback should be considered for a better understanding of the additional effects of tDCS.

      5. Conclusions

      To conclude, stress is an important societal problem inducing numerous consequences in wellbeing and health, and the development of effective methods that can be applied before the occurrence of a stressful event are necessary to prevent the earliest possible manifestation of stress. The present findings demonstrated the additive contribution of short proactive BFB with left dlPFC stimulation in reducing the psychophysiological stress response. While applying tDCS before a day-to-day stressful event might not be easily achievable, its application in the clinical setting seems appropriate [
      • Brunoni A.R.
      • Nitsche M.A.
      • Bolognini N.
      • Bikson M.
      • Wagner T.
      • Merabet L.
      • et al.
      Clinical research with transcranial direct current stimulation (tDCS): challenges and future directions.
      ]. Multi-sessions of BFB practice and left dlPFC stimulation have been independently established as relevant techniques in a clinical population suffering from stress disorders. Accordingly, our results provide a rationale for further exploration of whether BFB paired with left dlPFC stimulation might alleviate stress-related disorders. In addition, we found, for the first time, that delivering a short BFB intervention during the stress-anticipation period was likely to improve executive performance. As BFB offers rapid effects without being resource intensive, present results encourage the practice of BFB in real-life stress-anticipation events where a high level of performance is expected, such as before a job interview or sport competition.

      Funding

      This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

      Disclosures

      None.

      Declarations of interest

      None.

      CRediT authorship contribution statement

      Sophie Schlatter: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing. Aymeric Guillot: Conceptualization, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing. Laura Schmidt: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft. Mathilde Mura: Formal analysis, Investigation, Methodology, Writing – review & editing. Robin Trama: Formal analysis, Investigation, Visualization, Writing – review & editing. Franck Di Rienzo: Formal analysis, Investigation, Supervision, Writing – review & editing. Marc Lilot: Investigation, Methodology, Project administration, Resources, Supervision, Writing – review & editing. Ursula Debarnot: Conceptualization, Investigation, Methodology, Project administration, Resources, Supervision, Writing – review & editing, Writing – original draft, Validation.

      Declaration of competing interest

      We have no competing interests.

      Acknowledgments

      The authors thank the participants who volunteered to participate in this study. We also thank L. Djeavelou, D. Saboul, V. Pialoux for technical and theoretical support, as well as A. Metais, E. Gouraud, B. Canada, Y. Blache, A. Foure, M. Degot, M. Binay, M. Gallot, B. Gillet for they help at different times in the study. Finally, our thoughts turn to C. Faes, who was of great help for this project, as well as her family.

      Appendix A. Supplementary data

      The following is the Supplementary data to this article:

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