Transdermal neuromodulation of noradrenergic activity suppresses psychophysiological and biochemical stress responses in humans

William J Tyler, Alyssa M Boasso, Hailey M Mortimore, Rhonda S Silva, Jonathan D Charlesworth, Michelle A Marlin, Kirsten Aebersold, Linh Aven, Daniel Z Wetmore, Sumon K Pal, William J Tyler, Alyssa M Boasso, Hailey M Mortimore, Rhonda S Silva, Jonathan D Charlesworth, Michelle A Marlin, Kirsten Aebersold, Linh Aven, Daniel Z Wetmore, Sumon K Pal

Abstract

We engineered a transdermal neuromodulation approach that targets peripheral (cranial and spinal) nerves and utilizes their afferent pathways as signaling conduits to influence brain function. We investigated the effects of this transdermal electrical neurosignaling (TEN) method on sympathetic physiology under different experimental conditions. The TEN method involved delivering high-frequency pulsed electrical currents to ophthalmic and maxillary divisions of the right trigeminal nerve and cervical spinal nerve afferents. Under resting conditions, TEN significantly suppressed basal sympathetic tone compared to sham as indicated by functional infrared thermography of facial temperatures. In a different experiment, subjects treated with TEN reported significantly lower levels of tension and anxiety on the Profile of Mood States scale compared to sham. In a third experiment when subjects were experimentally stressed TEN produced a significant suppression of heart rate variability, galvanic skin conductance, and salivary α-amylase levels compared to sham. Collectively these observations demonstrate TEN can dampen basal sympathetic tone and attenuate sympathetic activity in response to acute stress induction. Our physiological and biochemical observations are consistent with the hypothesis that TEN modulates noradrenergic signaling to suppress sympathetic activity. We conclude that dampening sympathetic activity in such a manner represents a promising approach to managing daily stress.

Conflict of interest statement

W.J.T. is a co-founder of Thync, Inc. W.J.T., J.D.C., D.Z.W. and S.K.P. are inventors and co-inventors on issued and pending patents related to methods, systems, and devices for neuromodulation. All authors are shareholders in Thync, Inc.

Figures

Figure 1. Cranial and spinal afferent pathways…
Figure 1. Cranial and spinal afferent pathways provide direct inputs to neural circuits regulating psychophysiological arousal and stress responses.
The diagram illustrates trigeminal and facial nerve afferents impinging on the nucleus of the solitary tract (NTS) and trigeminal nuclei (primary sensory nucleus and spinal nucleus) in the brainstem. The NTS and trigeminal nuclei impinge on the noradrenergic locus coeruleus (LC) and other brainstem nuclei comprising a loose network of interconnected structures historically recognized as the reticular formation (RF). The major pathways and circuitry highlighted (blue) were targeted using high-frequency pulsed currents (7–11 kHz) using transdermal electrical neurosignaling (TEN) waveforms delivered to trigeminal, facial, and cervical spinal (C2/C3) afferent fibers. Trigeminal and facial nerve afferents (sensory and proprioceptive) can modulate the activity of the LC and NTS to affect psychophysiolgical arousal, the activity of the sympathoadrenal medullary (SAM) axis, biochemical stress responses, and the dorsal motor nucleus (DMN) of the vagus. The bottom-up neurosignaling pathways illustrated serve mechanisms for the regulation of cortical gain control and performance optimization by influencing a broad variety of neurophysiological and cognitive functions, as well as primary sympathetic responses to environmental stress.
Figure 2. Experimental approaches used to assess…
Figure 2. Experimental approaches used to assess the effects of TEN on basal sympathetic tone, mood, and acute stress responses.
(a) The photographs illustrate the montage and device used to target cranial and cervical spinal afferents. (b) The photograph illustrates the testing room and shows an infrared (IR) camera, integrated heart rate and galvanic skin conductance sensors, a bar electrode used to deliver fear conditioning stimuli, and a monitor for presenting stimuli. In sub-panels (ce) schematics illustrating the three experimental paradigms used in this study are shown. (c) The schematic depicts Experiment 1 designed to evaluate the influence of TEN and sham stimulation on a sympathetic skin response by monitoring emotional thermoregulation of facial temperatures using functional IR thermography. (d) The schematic depicts Experiment 2 designed to investigate the influence of TEN and sham stimulation on affective mood states. (e) The schematic depicts the experimental approach used to evaluate the influence of TEN and sham stimulation on psychophysiological and biochemical responses to stress. For additional details, see Methods.
Figure 3. TEN significantly modulates a sympathetic…
Figure 3. TEN significantly modulates a sympathetic skin response and emotional thermoregulation by increasing facial temperatures as indicated by functional infrared thermography.
(a) Pseudo-colored infrared (IR) images are shown for representative subjects from the sham (top) and TEN (bottom) treatment groups obtained in Experiment 1. The average baseline temperature and time points corresponding to 5, 10, and 20 min following the onset of a 15 min sham or TEN treatment are illustrated. (b) Histograms (left) illustrate the average baseline temperatures obtained from the foreheads, noses, chins and cheeks (Supplementary Figure 1) of subjects during the 5 min baseline period prior to sham or TEN treatment. The lineplots (right) illustrate the average percentage change in temperature (ΔT) of foreheads, noses, chins and cheeks of subjects at time points corresponding to 2nd, 5th, 10th, and 20th min period after the onset of sham (black) or TEN (blue) treatment (Supplementary Videos 1 and 2). The vertical dahsed lines in the line plots illustrates the termination of sham or TEN treatments. The P values for groups differences calculated from repeated measures analysis ANOVA’s are shown and an asterisk indicates a significant group difference at P < 0.05. For clarity all data have been shown as mean ± SEM.
Figure 4. TEN significantly reduces anxiety and…
Figure 4. TEN significantly reduces anxiety and tension compared to sham.
Data obtained from Experiment 2 are illustrated. The histograms illustrate the mean ± SD scores obtained from TEN and sham treatment groups on the Profile of Mood State (POMS) subscales: Fatigue/Inertia, Vigor/Activity, Confusion/Bewilderment, Anger/Hostility, Depression/Dejection, and Anxiety/Tension. Following a 15 min treatment session, subjects in the TEN group reported significantly less Anxiety/Tension on the POMS survey compared to the sham treatment group. An asterisk indicates a significant difference at P 

Figure 5. TEN suppresses changes in HRV…

Figure 5. TEN suppresses changes in HRV induced by experimentally induced stress.

The histograms illustrate…

Figure 5. TEN suppresses changes in HRV induced by experimentally induced stress.
The histograms illustrate the average HR (a), R-R interval (b), SDNN (c), LF power (d), HF power (e), and LF/HF (f) HRV responses mediated by sham and TEN treatments in response to the induction of acute stress. An asterisk indicates a significant difference with P < 0.05. All data shown are mean ± SD.

Figure 6. TEN attenuates anticipatory and event-related…

Figure 6. TEN attenuates anticipatory and event-related changes in GSC during classical fear-conditioning.

( a…

Figure 6. TEN attenuates anticipatory and event-related changes in GSC during classical fear-conditioning.
(a) Representative raw GSC traces obtained from a subjects treated with sham or TEN during the experimental paradigm designed to induce acute stress (Fig. 2e). The onset of the classical fear-conditioning paradigm (fear onset), delivery of unconditioned stimuli (US; electrical shocks; blue), and onset of the time-pressured cognitive battery are marked. Note differences in the amplitude of event-related GSC changes (ΔGSC; see Methods) between the treatment groups illustrate TEN-mediated reduction in sympathetic drive. (b) The line plot illustrates a different GSC profile obtained from a subject treated with TEN during the fear-conditioning component of the stress trial. As also shown in panel a, all subjects exhibited the same type of response where there was a sharp anticipatory increase in GSC (ΔGSCfear) at the onset of the fear-conditioning component of the stress trial before the delivery of the first US. All subjects also exhibited transient GSC increases (ΔGSCshock) in response to the delivery of each US as illustrated. For clarity, the area marked by the shaded rectangular box is shown at a higher temporal resolution and amplitude scale (inset). (c) The histograms illustrate the average ΔGSC for the TEN and sham treatment groups obtained during the fear-conditioning phase of the stress trial. An asterisk indicates a significant difference with P < 0.05. All data shown are mean ± SD.

Figure 7. TEN reduces salivary α-amylase levels…

Figure 7. TEN reduces salivary α-amylase levels in response to acute stress.

The histograms illustrate…

Figure 7. TEN reduces salivary α-amylase levels in response to acute stress.
The histograms illustrate the average levels of α-amylase (a) and cortisol concentration (b) in saliva samples taken before (baseline), 10 min, and 30 min after the stress trial for sham and TEN treatment groups. An asterisk indicates a significant difference with P < 0.05. All data shown are mean ± SD.

Figure 8. Neurons in the LC dynamically…

Figure 8. Neurons in the LC dynamically shift between tonic and phasic firing modes as…

Figure 8. Neurons in the LC dynamically shift between tonic and phasic firing modes as a function of afferent activity and stress.
(a) The figure illustrates a working model of neuronal activity patterns exhibited by the LC under different levels of stress and arousal as observed from experimental animal models. This model incorporates observations that stress leads to high levels of tonic activity in the LC while sensory stimulation (black triangles) triggers phasic activity especially when tonic activity is low. (b) Facial and trigeminal nerve afferents, as well as the pons portion of the circuit diagram from Fig. 1 are shown (left). As illustrated stress (red) acts on LC neurons to increase their tonic firing rates thereby driving sympathetic activity and increasing SAM axis activation. We hypothesize that TEN (blue) biases LC activity through afferent pathways in a manner that increases phasic firing, reduces tonic activity, and suppresses sympathetic tone and SAM axis activation. Our observations suggest this partial mechanism of action, at a first station of information processing in the brain, may involve increased α2 adrenergic activity as depicted.
All figures (8)
Figure 5. TEN suppresses changes in HRV…
Figure 5. TEN suppresses changes in HRV induced by experimentally induced stress.
The histograms illustrate the average HR (a), R-R interval (b), SDNN (c), LF power (d), HF power (e), and LF/HF (f) HRV responses mediated by sham and TEN treatments in response to the induction of acute stress. An asterisk indicates a significant difference with P < 0.05. All data shown are mean ± SD.
Figure 6. TEN attenuates anticipatory and event-related…
Figure 6. TEN attenuates anticipatory and event-related changes in GSC during classical fear-conditioning.
(a) Representative raw GSC traces obtained from a subjects treated with sham or TEN during the experimental paradigm designed to induce acute stress (Fig. 2e). The onset of the classical fear-conditioning paradigm (fear onset), delivery of unconditioned stimuli (US; electrical shocks; blue), and onset of the time-pressured cognitive battery are marked. Note differences in the amplitude of event-related GSC changes (ΔGSC; see Methods) between the treatment groups illustrate TEN-mediated reduction in sympathetic drive. (b) The line plot illustrates a different GSC profile obtained from a subject treated with TEN during the fear-conditioning component of the stress trial. As also shown in panel a, all subjects exhibited the same type of response where there was a sharp anticipatory increase in GSC (ΔGSCfear) at the onset of the fear-conditioning component of the stress trial before the delivery of the first US. All subjects also exhibited transient GSC increases (ΔGSCshock) in response to the delivery of each US as illustrated. For clarity, the area marked by the shaded rectangular box is shown at a higher temporal resolution and amplitude scale (inset). (c) The histograms illustrate the average ΔGSC for the TEN and sham treatment groups obtained during the fear-conditioning phase of the stress trial. An asterisk indicates a significant difference with P < 0.05. All data shown are mean ± SD.
Figure 7. TEN reduces salivary α-amylase levels…
Figure 7. TEN reduces salivary α-amylase levels in response to acute stress.
The histograms illustrate the average levels of α-amylase (a) and cortisol concentration (b) in saliva samples taken before (baseline), 10 min, and 30 min after the stress trial for sham and TEN treatment groups. An asterisk indicates a significant difference with P < 0.05. All data shown are mean ± SD.
Figure 8. Neurons in the LC dynamically…
Figure 8. Neurons in the LC dynamically shift between tonic and phasic firing modes as a function of afferent activity and stress.
(a) The figure illustrates a working model of neuronal activity patterns exhibited by the LC under different levels of stress and arousal as observed from experimental animal models. This model incorporates observations that stress leads to high levels of tonic activity in the LC while sensory stimulation (black triangles) triggers phasic activity especially when tonic activity is low. (b) Facial and trigeminal nerve afferents, as well as the pons portion of the circuit diagram from Fig. 1 are shown (left). As illustrated stress (red) acts on LC neurons to increase their tonic firing rates thereby driving sympathetic activity and increasing SAM axis activation. We hypothesize that TEN (blue) biases LC activity through afferent pathways in a manner that increases phasic firing, reduces tonic activity, and suppresses sympathetic tone and SAM axis activation. Our observations suggest this partial mechanism of action, at a first station of information processing in the brain, may involve increased α2 adrenergic activity as depicted.

References

    1. McEwen B. S. & Gianaros P. J. Central role of the brain in stress and adaptation: links to socioeconomic status, health, and disease. Ann N Y Acad Sci 1186, 190–222 (2010).
    1. Kalia M. Assessing the economic impact of stress—the modern day hidden epidemic. Metabolism 51, 49–53 (2002).
    1. McEwen B. S. & Sapolsky R. M. Stress and cognitive function. Curr Opin Neurobiol 5, 205–216 (1995).
    1. Lupien S. J., McEwen B. S., Gunnar M. R. & Heim C. Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat Rev Neurosci 10, 434–445 (2009).
    1. Marin M. F. et al. Chronic stress, cognitive functioning and mental health. Neurobiol Learn Mem 96, 583–595 (2011).
    1. Ader R., Cohen N. & Felten D. Psychoneuroimmunology: interactions between the nervous system and the immune system. Lancet 345, 99–103 (1995).
    1. Khansari D. N., Murgo A. J. & Faith R. E. Effects of stress on the immune system. Immunol Today 11, 170–175 (1990).
    1. Padgett D. A. & Glaser R. How stress influences the immune response. Trends Immunol 24, 444–448 (2003).
    1. Steptoe A. & Kivimaki M. Stress and cardiovascular disease. Nat Rev Cardiol 9, 360–370 (2012).
    1. Brotman D. J., Golden S. H. & Wittstein I. S. The cardiovascular toll of stress. Lancet 370, 1089–1100 (2007).
    1. Southwick S. M., Vythilingam M. & Charney D. S. The psychobiology of depression and resilience to stress: implications for prevention and treatment. Annu Rev Clin Psychol 1, 255–291 (2005).
    1. Koelega H. S. Benzodiazepines and vigilance performance: a review. Psychopharmacology (Berl) 98, 145–156 (1989).
    1. Carmody J. & Baer R. A. Relationships between mindfulness practice and levels of mindfulness, medical and psychological symptoms and well-being in a mindfulness-based stress reduction program. J Behav Med 31, 23–33 (2008).
    1. Scully D., Kremer J., Meade M. M., Graham R. & Dudgeon K. Physical exercise and psychological well being: a critical review. Br J Sports Med 32, 111–120 (1998).
    1. Parvizi J. & Damasio A. Consciousness and the brainstem. Cognition 79, 135–160 (2001).
    1. Couto L. B. et al. Descriptive and functional neuroanatomy of locus coeruleus-noradrenaline-containing neurons involvement in bradykinin-induced antinociception on principal sensory trigeminal nucleus. J Chem Neuroanat 32, 28–45 (2006).
    1. Aston-Jones G. et al. Afferent regulation of locus coeruleus neurons: anatomy, physiology and pharmacology. Prog Brain Res 88, 47–75 (1991).
    1. Aston-Jones G., Rajkowski J. & Cohen J. Role of locus coeruleus in attention and behavioral flexibility. Biol Psychiatry 46, 1309–1320 (1999).
    1. Berridge C. W. & Waterhouse B. D. The locus coeruleus-noradrenergic system: modulation of behavioral state and state-dependent cognitive processes. Brain Res Brain Res Rev 42, 33–84 (2003).
    1. Sara S. J. The locus coeruleus and noradrenergic modulation of cognition. Nat Rev Neurosci 10, 211–223 (2009).
    1. Monkhouse S. Cranial Nerves: Functional Anatomy. (Cambridge University Press, 2006).
    1. Rea P. Clinical Anatomy of the Cranial Nerves. 178 (Academic Press, Elsevier Inc., 2014).
    1. Cook I. A. et al. Trigeminal nerve stimulation in major depressive disorder: acute outcomes in an open pilot study. Epilepsy Behav 28, 221–226 (2013).
    1. DeGiorgio C. M., Murray D., Markovic D. & Whitehurst T. Trigeminal nerve stimulation for epilepsy: long-term feasibility and efficacy. Neurology 72, 936–938 (2009).
    1. DeGiorgio C. M. et al. Randomized controlled trial of trigeminal nerve stimulation for drug-resistant epilepsy. Neurology 80, 786–791 (2013).
    1. Vetrugno R., Liguori R., Cortelli P. & Montagna P. Sympathetic skin response: basic mechanisms and clinical applications. Clin Auton Res 13, 256–270 (2003).
    1. Ioannou S., Gallese V. & Merla A. Thermal infrared imaging in psychophysiology: Potentialities and limits. Psychophysiology 51, 951–963 (2014).
    1. Nakayama K., Goto S., Kuraoka K. & Nakamura K. Decrease in nasal temperature of rhesus monkeys (Macaca mulatta) in negative emotional state. Physiology & Behavior 84, 783–790 (2005).
    1. Kuraoka K. & Nakamura K. The use of nasal skin temperature measurements in studying emotion in macaque monkeys. Physiol Behav 102, 347–355 (2011).
    1. Stemmler G. The autonomic differentiation of emotions revisited: convergent and discriminant validation. Psychophysiology 26, 617–632 (1989).
    1. Merla A. & Romani G. L. in Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE. 247–249.
    1. Di Giacinto A., Brunetti M., Sepede G., Ferretti A. & Merla A. Thermal signature of fear conditioning in mild post traumatic stress disorder. Neuroscience 266, 216–223 (2014).
    1. Rimm-Kaufman S. E. & Kagan J. The psychological significance of changes in skin temperature. Motivation and Emotion 20, 63–78 (1996).
    1. Sugimoto Y., Yoshitomi Y. & Tomita S. A method for detecting transitions of emotional states using a thermal facial image based on a synthesis of facial expressions. Robotics and Autonomous Systems 31, 147–160 (2000).
    1. Akio N. & Munecazu T. Correlation analysis on alpha attenuation and nasal skin temperature. Journal of Statistical Mechanics: Theory and Experiment 2009, P01007 (2009).
    1. McNair D. M., Lorr M. & Droppleman L. F. Manual for Profile of Mood States. (Education and Industrial Testing Service, 1971).
    1. Reyes del Paso G. A., Langewitz W., Mulder L. J., van Roon A. & Duschek S. The utility of low frequency heart rate variability as an index of sympathetic cardiac tone: a review with emphasis on a reanalysis of previous studies. Psychophysiology 50, 477–487 (2013).
    1. Billman G. E. Heart rate variability - a historical perspective. Front Physiol 2, 86 (2011).
    1. Granger D. A., Kivlighan K. T., el-Sheikh M., Gordis E. B. & Stroud L. R. Salivary alpha-amylase in biobehavioral research: recent developments and applications. Ann N Y Acad Sci 1098, 122–144 (2007).
    1. Rohleder N., Nater U. M., Wolf J. M., Ehlert U. & Kirschbaum C. Psychosocial stress-induced activation of salivary alpha-amylase: an indicator of sympathetic activity? Ann N Y Acad Sci 1032, 258–263 (2004).
    1. van Stegeren A., Rohleder N., Everaerd W. & Wolf O. T. Salivary alpha amylase as marker for adrenergic activity during stress: effect of betablockade. Psychoneuroendocrinology 31, 137–141 (2006).
    1. Thoma M. V., Kirschbaum C., Wolf J. M. & Rohleder N. Acute stress responses in salivary alpha-amylase predict increases of plasma norepinephrine. Biol Psychol 91, 342–348 (2012).
    1. Buchanan T. W., Bibas D. & Adolphs R. Salivary alpha-amylase levels as a biomarker of experienced fear. Commun Integr Biol 3, 525–527 (2010).
    1. Tamura A. et al. Salivary alpha-amylase and cortisol responsiveness following electrical stimulation stress in patients with the generalized type of social anxiety disorder. Pharmacopsychiatry 46, 225–260 (2013).
    1. Tanaka Y. et al. Salivary alpha-amylase and cortisol responsiveness following electrically stimulated physical stress in bipolar disorder patients. Neuropsychiatr Dis Treat 8, 1899–1905 (2013).
    1. Nater U. M. et al. Stress-induced changes in human salivary alpha-amylase activity—associations with adrenergic activity. Psychoneuroendocrinology 31, 49–58 (2006).
    1. Chatterton R. T. Jr., Vogelsong K. M., Lu Y. C., Ellman A. B. & Hudgens G. A. Salivary alpha-amylase as a measure of endogenous adrenergic activity. Clin Physiol 16, 433–448 (1996).
    1. Kuebler U. et al. Norepinephrine infusion with and without alpha-adrenergic blockade by phentolamine increases salivary alpha amylase in healthy men. Psychoneuroendocrinology 49, 290–298 (2014).
    1. Svensson T. H. Peripheral, autonomic regulation of locus coeruleus noradrenergic neurons in brain: putative implications for psychiatry and psychopharmacology. Psychopharmacology (Berl) 92, 1–7 (1987).
    1. Foote S. L., Aston-Jones G. & Bloom F. E. Impulse activity of locus coeruleus neurons in awake rats and monkeys is a function of sensory stimulation and arousal. Proc Natl Acad Sci USA 77, 3033–3037 (1980).
    1. Aston-Jones G. & Bloom F. E. Norepinephrine-containing locus coeruleus neurons in behaving rats exhibit pronounced responses to non-noxious environmental stimuli. J Neurosci 1, 887–900 (1981).
    1. Van Buyten J. P., Al-Kaisy A., Smet I., Palmisani S. & Smith T. High-frequency spinal cord stimulation for the treatment of chronic back pain patients: results of a prospective multicenter European clinical study. Neuromodulation 16, 59–65; discussion 65-56 (2013).
    1. Kilgore K. L. & Bhadra N. Nerve conduction block utilising high-frequency alternating current. Med Biol Eng Comput 42, 394–406 (2004).
    1. Katz B. Nerve excitation by high-frequency alternating current. J Physiol 96, 202–224 (1939).
    1. Aston-Jones G. & Cohen J. D. Adaptive gain and the role of the locus coeruleus-norepinephrine system in optimal performance. J Comp Neurol 493, 99–110 (2005).
    1. Valentino R. J. & Van Bockstaele E. Convergent regulation of locus coeruleus activity as an adaptive response to stress. Eur J Pharmacol 583, 194–203 (2008).
    1. Rajkowski J., Kubiak P. & Aston-Jones G. Locus coeruleus activity in monkey: phasic and tonic changes are associated with altered vigilance. Brain Res Bull 35, 607–616 (1994).
    1. Aston-Jones G., Rajkowski J. & Cohen J. Locus coeruleus and regulation of behavioral flexibility and attention. Prog Brain Res 126, 165–182 (2000).
    1. Usher M., Cohen J. D., Servan-Schreiber D., Rajkowski J. & Aston-Jones G. The role of locus coeruleus in the regulation of cognitive performance. Science 283, 549–554 (1999).
    1. Carter M. E. et al. Tuning arousal with optogenetic modulation of locus coeruleus neurons. Nat Neurosci 13, 1526–1533 (2010).
    1. Gjörstrup P. Effects of some α-adrenoceptor stimulating and blocking agents on the salivary amylase secretion in the rabbit. Acta Physiologica Scandinavica 120, 567–577 (1984).
    1. Saunier C. F. et al. Activation of brain noradrenergic neurons during recovery from halothane anesthesia. Persistence of phasic activation after clonidine. Anesthesiology 79, 1072–1082 (1993).
    1. Michaloudis D. et al. The influence of premedication on heart rate variability. Anaesthesia 53, 446–453 (1998).
    1. Lazzeri C. et al. Effects of clonidine on power spectral analysis of heart rate variability in mild essential hypertension. J Auton Nerv Syst 74, 152–159 (1998).
    1. Lazzeri C., La Villa G., Mannelli M., Janni L. & Franchi F. Effects of acute clonidine administration on power spectral analysis of heart rate variability in healthy humans. J Auton Pharmacol 18, 307–312 (1998).
    1. Famm K., Litt B., Tracey K. J., Boyden E. S. & Slaoui M. Drug discovery: a jump-start for electroceuticals. Nature 496, 159–161 (2013).
    1. Kavanagh S., Newell J., Hennessy M. & Sadick N. Use of a neuromuscular electrical stimulation device for facial muscle toning: a randomized, controlled trial. Journal of Cosmetic Dermatology 11, 261–266 (2012).
    1. Paneri B. et al. The tolerability of transcranial electrical stimulation used across extended periods in a naturalistic context by healthy individuals. PeerJ PrePrints 3, e1341 (2015).
    1. Rodrigues S. M., LeDoux J. E. & Sapolsky R. M. The influence of stress hormones on fear circuitry. Annu Rev Neurosci 32, 289–313 (2009).
    1. Ulrich-Lai Y. M. & Herman J. P. Neural regulation of endocrine and autonomic stress responses. Nat Rev Neurosci 10, 397–409 (2009).
    1. Renaud P. & Blondin J. P. The stress of Stroop performance: physiological and emotional responses to color-word interference, task pacing, and pacing speed. Int J Psychophysiol 27, 87–97 (1997).
    1. Thackray R. & Jones K. Level of arousal during Stroop performance: Effects of speed stress and “distraction”. Psychonomic Science 17, 133–135 (1969).
    1. Aston-Jones G. & Cohen J. D. An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. Annu Rev Neurosci 28, 403–450 (2005).

Source: PubMed

3
Abonnieren