Imagined and Actual Movements with and without Suggestions for anesthesia in Subjects with Different Hypnotizability
Department of Translational Research in Medicine and Surgery, University of Pisa, Pisa, Italy
Academic Editor: Giuseppe De Benedittis
Special Issue: Hypnosis: from Neural Mechanisms to Clinical Practice
Received: September 10, 2019 | Accepted: December 13, 2019 | Published: December 18, 2019
OBM Integrative and Complementary Medicine 2019, Volume 4, Issue 4, doi:10.21926/obm.icm.1904066
Recommended citation: Ruggirello S, Santarcangelo EL, Sebastiani L. Imagined and Actual Movements with and without Suggestions for anesthesia in Subjects with Different Hypnotizability. OBM Integrative and Complementary Medicine 2019; 4(4): 066; doi:10.21926/obm.icm.1904066.
© 2019 by the authors. This is an open access article distributed under the conditions of the Creative Commons by Attribution License, which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is correctly cited.
Hypnotizability is a psychophysiological trait that is measured by scales predicting the proneness to modify perception, memory, and behavior according to specific instructions named “suggestions” . Several cognitive, emotional, and physiological differences have been described between the subjects with high (highs) and low hypnotizability (lows) out of hypnosis and in the absence of specific suggestions .
1.1 Hypnotizability as a Psychophysiological Trait
The EEG studies based on spectral analysis conducted in resting conditions out of hypnosis and in the absence of specific suggestions failed to separate the effects of hypnotizability from those of relaxation . The study also did not recognize any variable which could discriminate highs from lows and medium hypnotizable participants (mediums). Recurrence quantification analysis of the EEG plot  revealed that the plot determinism discriminates highs from lows at midline parietal sites [5,6]. Additionally, the topological analysis of EEG signals has shown a qualitatively different cortical activity during both sensorimotor and cognitive tasks. Highs exhibit a widely distributed mode of information processing whereas lows show localized changes . In highs, earlier reports showed greater left activation than right anterior activation and hemispheric differences in information processing for electrodermal responses, brightness, haptic discrimination, tones evoked cortical potentials , temporal judgment of visual stimuli , and line bisection .
The earliest neuroimaging study of hypnotizability-related morphological characteristics revealed larger anterior corpus callosum  in highs, which may account for the better interhemispheric transfer of information. Successively, smaller grey matter volume in the entire brain  or in regions belonging to the salience and executive circuits has been described . From a functional point of view, highs exhibit a stronger connection between the cingulate cortex and the dorsolateral prefrontal and parietal cortices possibly leading to increased likelihood to modulate the information selection and processing . In addition, highs show reduced grey matter volume of the cerebellar left IV-VI lobules , suggesting a role of the cerebellum in the observed hypnotizability-related differences in sensorimotor integration, cerebellar control of pain and a few cognitive-emotional traits. In the absence of suggestions and out of hypnosis, highs show less strict postural control and less accurate visuomotor performance. The highs do not exhibit learning effects due to task repetition in both postural and visuomotor tasks . In contrast to the general population, reports showed increased pain perception associated with increased amplitude of cortically evoked nociceptive potentials during transcranial anodal cerebellar stimulation in highs . The structural variations in the salience network, particularly in the insula, may be responsible for higher emotional intensity during imagery , recall of emotional events , and perception of the inner world and sensitivity/empathy in highs than that in lows . The same structural brain irregularities could influence heart rate, which is para-sympathetically controlled in highs during long-lasting relaxation in the awake state . The nociceptive stimulation in highs releases nitric oxide (NO) from the endothelial cells of the brachial artery. This condition is not influenced by mental stress and is less profound in lows [20,21]. The high concentration of NO at the cerebral level may have a role in the highs’ brain morphofunctional peculiarities. This is because excessive or uncontrolled diffusion of endothelial NO to the cerebral tissue may be responsible for neurotoxicity .
1.2 Suggestions and Imagery
Suggestions are requested to imagine a sensorimotor, cognitive or emotional condition different from the actual one that is effective in both the awake and hypnotic state . Many studies have analyzed hypnotizability-related differences by standard imagery questionnaires which, however, have often provided negative results concerning the vividness of imagery . In contrast, semistructured interviews related to the mental images experienced during specific experimental conditions have shown greater vividness and lower effort in highs than that in lows , which may be due to the kinaesthetic modality of imagery [25,26,27,28,29].
More importantly, hypnotizability-related differences have been found in the functional equivalence (FE) between imagery and perception/action [29,30]. FE is generally described in terms of similar activations observable during actual and imagined perception [31,32,33] or action [34,35,36,37]. FE is found stronger in highs, which means that they experience the suggested mental images at both subjective and physiological levels more than that in lows [24,28,29,30,38].
Greater cerebral cortical excitability (Spina, personal communication) could be responsible for stronger FE possibly due to greater cortical activation by ascending systems [39,40] or lower cerebellar inhibition of cortical sensorimotor areas . Among activating systems, the dopaminergic pathway plays the best role [41,42,43,44,45]. The cholinergic contribution may be roughly excluded on the basis of tests of visual and verbal memory , which did not detect any difference between highs, mediums, and lows . The noradrenergic contribution from the Locus Coeruleus (LC) is also excluded from the primary findings because of the similar pupil diameter [48,49] as observed in highs, mediums, and lows.
1.3 Hypnotizability and Motor Imagery
Actual and imagined actions have been compared in highs and lows through neuroimaging and EEG studies. The former revealed the activation of a parietal-cerebellar circuit during ideomotor movements induced by suggestions. This is experienced by highs as an involuntary action. According to the feed-forward model of motor control, it was proposed that the inhibition of the peripheral reafference may be responsible for the perception of involuntariness . As observed in postural imagery, the latter showed different activation modes in highs, in contrast to lows who do not exhibit local cortical changes with respect to baseline [7,28,29,30].
The main physiological difference between actual and imagined action consists of the presence or absence of the peripheral reafference. In the general population, fMRI studies have shown activation of a distributed frontoparietal occipital network during motor planning, imagery, and execution [35,36,51]. EEG source analysis has shown that physical suppression of the kinaesthetic reafference reduces the source activity at pre and postcentral sites and that the same occurs during imagined movements in which the sensory reafference is absent . In highs, the lack of sensory information could be replaced by its mental image owing to their stronger functional equivalence between imagery and action [27,29]. This may lead to the suppression of the difference between actual and imagined action. On the other hand, during actual movement, the highs’ stronger FE should induce greater effects of suggestions of anesthesia than that in lows.
1.4 Aim of the Study
The aim of the present study was to investigate the correlation of EEG between actual and imagined arm/hand movement and of an actual movement performed during the administration of suggestions of arm/hand anesthesia in highs and lows. We expect that a) highs report better vividness of imagery and greater movement difficulty for the actual movement performed during suggestions of analgesia and that b) in contrast to subjective experience, the EEG changes associated with tasks are more pronounced in lows than in highs [28,29,30]
The EEG midline alpha power (8-12 Hz), indicating cognitive engagement, and hemispheric alpha and beta (13-25 Hz) absolute power, classically associated with movement preparation and execution , were studied.
The research was approved by the Bioethical Committee of the University of Pisa (n.4/2018, January 25, 2019) and conducted ethically according to the Declaration of Helsinki.
Thirty-five students of the University of Pisa participated in the study who were drug free, healthy (according to neurological, psychiatric, and medical anamnesis), and right-handed (Edinburgh Handedness Inventory score > 16). Their hypnotic susceptibility was assessed through the Italian version of the Stanford Hypnotic Susceptibility Scale, form A . Seventeen low hypnotizable (lows, 9 females; (mean, SD): age 22 +1.21; SHSS score 1.19 + 1.38) and 18 high hypnotizable individuals (highs, 7 females; (mean, SD): age 21 +0.92; SHSS score 10.06 +1.39) were sorted from a database which included highs and lows.No medium hypnotizable individuals (mediums) accepted to join the experimental session.
2.2 Experimental Procedure
Experimental sessions were conducted between 11 a.m. and 2 p.m. Upon arrival, the participants read and signed the informed consent. Throughout the experimental session, participants were comfortably seated in a semi-reclined arm-chair in a sound and light-attenuated room. The experimental procedure consisted of three eyes-closed trials which were divided into basal and task conditions (actual movement, M; motor imagery of it, MI; actual movement during suggestions for anesthesia, MA). In the basal condition preceding each task (bM, bMI, and bMA), the participants were asked to relax. M consisted of the execution of a complex flexor-extensor movement of the right arm, i.e., opening and closing of hand repeated five times consecutively. MI consisted of the motor imagery of M, and MA consisted of M associated with suggestions for anesthesia. Tasks were presented to all subjects in the described sequence. The instructions for M (“...please perform a flexor-extensor movement of your right arm, close your hand into a fist and then re-open it, repeat it five times and then put your arm and hand in their initial position...”), MI (“…please, now try to imagine the described movement looking at it from your own eyes..from inside your body…”) and MA (“…please, now imagine you do not perceive any sensation from your arm and hand….”). Instructions and suggestions were given immediately before the respective task which was triggered by verbal commands. For M and MA, the delay between the verbal command (“please, now move”) and the movement of onset, as well as the movement duration (that is the time interval between the verbal command and the observed end of the movement), were measured. MI duration was calculated by measuring the time interval from the verbal command (please now listen to me and imagine…..) to the “STOP” command. The participants were invited to say at the end of their imaginative experience. After MI, the subjects scored the vividness and easiness of their imagery and the ability to maintain their mental image through the requested modality of imagery (range: 0–10). After MA, the subjects were asked to score the influence of the suggestion on movement easiness on a scale of 0–10.
Arm/hand movement monitoring during M and MA was performed through the marker-less infrared sensors Xbox 360 Kinect Sensor System that tracks body joints in real-time without requiring markers attached to the body .
Electroencephalogram (EEG) was recorded by means of a 32-channels DC-coupled monopolar amplifier (Scan LT, Neuroscan). Scalp EEG signals were filtered with a notch filter centered at 50 Hz and a bandpass one (0.5–45 Hz) and acquired with a 1000 Hz sampling rate by means of electrodes with contact impedance below 10 kΩ. It was referenced to FCz. Off-line signals were re-referred to A1/A2 and FCz was restored. Eye (right medial/lateral; left medial/lateral) and ECG electrodes (standard DI lead) were also used.No participant had more than 1 bad channel per condition and this was calculated using the spherical interpolation method (EEGLAB pop_interp function). The signal components were obtained by running independent component analysis decomposition (infomax ICA algorithm, EEG LAB function runica) and were visually inspected to remove artifacts. The signal was divided into 20 s epochs (20.000 samples). According to the exclusion criteria (amplitudes ≥100 µV or median amplitude > 6SD of the remaining channels), a maximum of 1 epoch per condition was deleted per subject.
Variables and statistical analysis
SPSS15 was used for all statistical analysis. Self-reports were analyzed by means of non-parametric tests (Mann-Whitney or Wilcoxon). Highs’ and lows’ delay in movement initiation in MA was analyzed through univariate ANOVA. The movement durations in M and MA were analyzed through repeated measures ANOVA (2 Hypnotizability × 2 Task). The kinematics of the arm/hand movement could not be analyzed because most signals were too noisy and a part of them was lost.
Repeated measures ANOVA was applied to EEG log-transformed absolute beta power (F3-F4, C3-C4, P3-P4) according to a 2 Hypnotizability (highs, lows) × 2 Hemisphere × 3 Trial (bM-M, bMI-MI, bMA-MA ) × 2 Condition (basal, task). The analysis of midline fronto-central alpha power (µ rhythm, Fz, and Cz) was performed through 2 Hypnotizability (highs, lows) × 3 Trial × 2 Condition design.
In addition, the changes occurring during tasks with respect to basal conditions (Task Related Power (TRP) changes: ΔM, ΔMI, ΔMA)were computed in order to compare ΔM with ΔMI and ΔMA (2 Hypnotizability × 3 Tasks design). The possible basal differences may have prevented the detection of significant interactions between trials and conditions by the former analysis. Negative TRP values indicate desynchronization, while positive TRP values indicate synchronization. The Greenhouse-Geisser ԑ correction for non-sphericity was used when necessary. Post-hoc comparisons between conditions (ΔM vs. ΔMI; ΔM vs. ΔMA) were carried on through contrast analysis. The level of significance was set at p = 0.05. The number of participants included in the various comparisons was not the same owing to the exclusion of a different number of outliers from each condition.
3.1 Self-Reports and Movement Duration
During MI, highs reported higher vividness (Z= –2.41, p< .017) and longer maintenance of the kinaesthetic modality of imagery than lows (Z= –2.01, p< .010), whereas no significant difference between highs and lows was observed for the easiness of MI (FIG 1A).
Highs exhibited a greater influence of the anesthesia suggesting their movement during MA with respect to lows (Z= –2.07, p< .007). A few highs reported the experience of “weak arm” or “absence of joint localization”. One of the subjects was not able to move his arm at all. However, the mean delay in the movement initiation during MA with respect to M was not significantly different between highs and lows (Fig. 1B).
Figure 1 Motor imagery. a) Easiness and vividness of mental imagery, maintenance of the requested kinaesthetic imagery. b) movement duration in the absence (M) and in the presence (MA) of suggestions for anaesthesia in highs (black dot) and lows (grey dots). Error bars represent standard errors.
Figure 2 Task Related Power (TRP) changes. Upper panels: frontal beta and alpha; lower panels: central beta and alpha. Black columns, highs; grey columns, lows. ΔM, actual movement; ΔIM, movement imagery; ΔMA, movement with suggestions for anaesthesia. Error bars represent standard errors.
The cortical correlates of the three experimental conditions showed significant hypnotizability-related differences which are reported in Table 1.
Table 1 Summary of result.
At frontal sites highs exhibited lower beta power than lows (Hypnotizability effect) and a significant Hypnotizability × Condition interaction revealed that only lows changed their beta power during tasks. In this group (Fig. 2) ΔM, ΔMI, and ΔMA were significantly different between each other (Task effect, F (2,32)=7.526, p<.002, µ2=.320) as beta power increased in M and decreased in MA with respect to basal conditions (ΔM vs. ΔMA, F (1,16)=11.035, p<.004), whereas ΔM and ΔMI did not differ between each other (Fig. 2A).
Alpha absolute power (Table 1) was always lower in highs than in lows (Hypnotizability effect)and decreased during all tasks with respect to basal conditions (Condition effect). Alpha TRP changes during M, MI, and MA did not exhibit significant differences between each other (Fig. 2).
At central sites (C3, C4), beta power was lower in highs than in lows independently from the experimental conditions (Hypnotizability effect).
Alpha changes showed a significant condition effect (basal > task) and the comparisons of alpha TRP changes (Fig. 2) revealed a significant Task effect (F (2, 26)=8.641, p<.006, µ2=.399) sustained by differences between ΔM and ΔMI (F (1,13)=10.063, p<.007) and between ΔM and ΔMA (F (1,13)=8.339, p<.013).
At parietal sites, alpha power was significantly lowered in highs than in lows (Table 1) (Hypnotizability effect). Both beta and alpha power were significantly lowered on left sites independently from hypnotizability, trial, and tasks (Hemisphere effect) and decreased during all tasks with respect to basal conditions (Condition effect). No significant Task effect was observed for ΔM, ΔMI, and ΔMA.
Midline alpha (μ rhythm) exhibited significantly lower power in highs than in lows at both Fz (1,28)=9.950, p<.004, μ2= .269) and Cz (F (1,28)=6.203, p<.019, μ2= .181).
The study confirms earlier reports of greater vividness of motor imagery and the ability to maintain the requested kinaesthetic modality of imagery in highs than that in lows. . The similar easiness of mental imagery experienced by the two groups, unlike earlier studies [28,29] can be accounted for by the experimental paradigm. In the present study, actual movement preceded its mental imagery allowing learning effects in lows. Also, the subjective effects of the suggestion of anesthesia were greater in highs than in lows, despite the absence of significant differences in the movement duration. This finding, however, should be considered together with nonstructured subjective reports indicating greater difficulty in initiating and/or control the movement by highs. The most relevant outcome of the study, however, is that, in line with studies of postural and motor imagery [28,29,30] highs did not exhibit significant EEG changes during actual and imagined tasks, in contrast to lows.
The μ rhythm is modulated by both sensorimotor tasks [56,57,58] and cognitive states and traits [59,60,61,62]. In the present study, the highs’ lower power of μ rhythm with respect to lows in both basal and task conditions indicates that they were more activated than lows in basal conditions and performed the tasks with lower effort.
In both groups, alpha power did not exhibit hemispheric differences, as often observed during various lateralized motor tasks .The lows’ smaller alpha decreases during MI and MA with respect to M observed at central sites seem to reflect their lower embodiment of the mental images of movement and anesthesia, generally worse cognitive performance with respect to highs. The lack of local EEG modulation in highs is consistent with the findings obtained during sensorimotor and cognitive tasks [7,29,30]. It can be accounted for a largely distributed information processing likely sustained by activating systems [39,40] which cannot be revealed by spectral analysis but is detected by topological methods [7,29].
The different beta changes observed in lows during the various tasks with respect to basal conditions suggest that lows were able to similarly represent actual and imagined motor planning (ΔM=ΔMI at frontal sites) and execution (ΔM=ΔMI at central sites). They were also able to prepare their movement differentially in the imagined absence and in the presence of sensory reafference (ΔMA different from ΔM).
At post-central sites low beta power was observed in the left hemisphere. At this level, highs and lows exhibited similar beta reduction with respect to basal conditions independently from the specific task, suggesting that the different experience of normal, imagined and imaginatively anesthetized arm/hand movement was sustained by central commands [63,64,65] rather than by the sensory reafference.
Although the basal EEG differences between highs and lows were not the objective of the present study, it was noticed that highs exhibited lower beta absolute power than lows at hemispheric levels. Lower alpha absolute power indicates different styles of resting cortical activity. This is in line with the findings of different activities of the Default Mode Network . It was also observed that long-lasting relaxation is a cognitive task associated with increasing and decreasing gamma activity in highs and lows, respectively .
5. Limitations and Conclusion
An important limitation of the study is the absence of movement monitoring, which is due to instrumentation failure occurred in the initial phase of the study. The paradoxical increase in beta power observed at frontal sites during actual movement, although insignificant, could possibly due to the movement, which was continuous and repetitive. The beta changes usually associated with movement preparation and execution may have been masked by the beta rebound associated with the termination of each movement within the sequence of five movements. Moreover, a better interpretation of the results could be provided by including medium hypnotizable participants (mediums) who were a better representative of the general population . Preliminary findings however, indicate that the mediums’ motor cortex excitability is intermediate between that of highs and lows (Spina, personal communication). From this point of view, it may be conferred that their functional equivalence may also be intermediate.
The present findings confirmed hypnotizability-related subjective differences in the ability of motor imagery  and in the efficacy of suggested anesthesia . It replicates earlier findings of hypnotizability related sensory-cognitive information processing [7,28,29]. It indicated that lows performing motor imagery and imagery of anesthesia do exhibit EEG cortical modulation. The findings suggested that both groups were able to embody mental images, through different cortical activity  which were more in highs more than lows [24,28].
In the present study, it can be concluded on the basis of experimental findings that a re-approachment of the experimental hypnosis based on the classification of individual on standard scales (the Ericksonian model) – any person can be considered as hypnotizable – is quite near. In particular, it can be proposed that various “hypnotizabilities” exist  and individual psychophysiological characteristics may enable different subjects to respond to different suggestions.
The helpful collaboration of T. Banfi for data acquisition is gratefully acknowledged.
All authors designed the study, analysed results, wrote and approved the manuscript. SR conducted the experiments and analysed EEG signals.
The authors have declared that no competing interests exist
- Elkins GR, Barabasz AF, Council JR, Spiegel D. Advancing research and practice: The revised APA division 30 definition of hypnosis. Am J Clin Hypn. 2015; 57: 378-385. doi: 10.1080/00029157.2015.1011465. [CrossRef]
- Santarcangelo EL, Scattina E. Complementing the latest APA definition of hypnosis: Sensory-motor and vascular peculiarities involved in hypnotizability. Int J Clin Exp Hypn. 2016; 64: 318-330. [CrossRef]
- Williams JD, Gruzelier JH. Differentiation of hypnosis and relaxation by analysis of narrow band theta and alpha frequencies. Int J Clin Exp Hypn. 2001; 49: 185-206. [CrossRef]
- Marwan N, Romano MC, Thiel M, Kurths J. Recurrence plots for theanalysis of complex systems. Phys Rep. 2007; 438: 237–329. [CrossRef]
- Chiarucci R, Madeo D, Loffredo MI, Castellani E, Santarcangelo EL, Mocenni C. Cross-evidence for hypnotic susceptibility through nonlinear measures on EEGs of non-hypnotized subjects.Sci Rep. 2014; 4: 5610. doi:10.1038/srep05610. [CrossRef]
- Madeo D, Castellani E, Mocenni C, Santarcangelo EL. Pain perception and EEG dynamics: Does hypnotizability account for the efficacy of the suggestions of analgesia? Physiol Behav. 2015; 145: 57-63. doi: 10.1016/j.physbeh.2015.03.040. [CrossRef]
- Ibáñez-Marcelo E, Campioni L, Manzoni D, Santarcangelo EL, Petri G. Spectral and topological analysis of the cortical representation of the head position: Does hypnotizability matter? Brain Behav. 2019; e01277. doi: 10.1002/brb3.1277 [CrossRef]
- Gruzelier JH. Frontal functions, connectivity and neural efficiency underpinning hypnosis and hypnotic susceptibility. Contemp Hypn. 2006; 23: 15-32. DOI: 10.1002/ch.35 [CrossRef]
- Naish PL. Hypnosis and hemispheric asymmetry. Conscious Cogn. 2010; 19: 230-234. doi: 10.1016/j.concog.2009.10.003 [CrossRef]
- Diolaiuti F, Banfi T, Santarcangelo EL. Hypnotizability and the Peripersonal Space. Int J Clin Exp Hypn. 2017; 65: 466-478. doi: 10.1080/00207144.2017.1348868. [CrossRef]
- Horton JE, Crawford HJ, Harrington G, Downs JH 3rd. Increased anterior corpus callosum size associated positively with hypnotizability and the ability to control pain. Brain. 2004; 127: 1741-1747. [CrossRef]
- McGeown WJ, Mazzoni G, Vannucci M, Venneri A. Structural and functional correlates of hypnotic depth and suggestibility. Psychiatry Res. 2015; 231: 151-159. doi: 10.1016/j.pscychresns.2014.11.015. [CrossRef]
- Landry M, Lifshitz M, Raz A. Brain correlates of hypnosis: A systematic review and meta-analytic exploration. Neurosci Biobehav Rev. 2017; 81, 75-98. doi: 10.1016/j.neubiorev. 2017.02.020. [CrossRef]
- Picerni E, Santarcangelo EL, Laricchiuta D, Cutuli D, Petrosini L, Spalletta G, et al. Cerebellar structural variations in subjects with different hypnotizability. Cerebellum. 2019; 18: 109-118. [CrossRef]
- Bocci T, Barloscio D, Parenti L, Sartucci F, Carli G, Santarcangelo EL. High hypnotizability impairs the cerebellar control of pain. Cerebellum. 2017; 16: 55-61. [CrossRef]
- Kirenskaya AV, Novototsky-Vlasov VY, Chistyakov AN, Zvonikov VM. The relationship between hypnotizability, internal imagery, and efficiency of neurolinguistic programming. Int J Clin Exp Hypn. 2011; 59: 225-241. doi: 10.1080/00207144.2011.546223 [CrossRef]
- De Pascalis V, Marucci FS, Penna PM. 40-Hz EEG asymmetry during recall of emotional events in waking and hypnosis: Differences between low and high hypnotizables. Int J Psychophysiol. 1989; 7: 85-96. [CrossRef]
- Facco E, Testoni I, Ronconi L, Casiglia E, Zanette G, Spiegel D. Psychological features of hypnotizability: A first step towards its empirical definition. Int J Clin Exp Hypn. 2017; 65: 98-119. [CrossRef]
- Santarcangelo EL, Paoletti G, Balocchi R, Carli G, Morizzo C, Palombo C, et al. Hypnotizability modulates the cardiovascular correlates of subjective relaxation.Int J Clin Exp Hypn. 2012; 60: 383-396. doi: 10.1080/00207144.2012.700609. [CrossRef]
- Jambrik Z, Santarcangelo EL, Ghelarducci B, Picano E, Sebastiani L. Does hypnotizability modulate the stress-related endothelial dysfunction? Brain Res Bull. 2004; 63: 213-216. [CrossRef]
- Jambrik Z, Sebastiani L, Picano E, Ghelarducci B, Santarcangelo EL. Hypnotic modulation of flow-mediated endothelial response to mental stress. Int J Psychophysiol. 2005; 55:221-7. [CrossRef]
- Meyer EC, Lynn SJ. Responding to hypnotic and nonhypnotic suggestions: Performance standards, imaginative suggestibility, and response expectancies. Int J Clin Exp Hypn. 2011; 59: 327-349. doi: 10.1080/00207144.2011.570660. [CrossRef]
- Srzich AJ, Byblow WD, Stinear JW, Cirillo J, Anson JG. Can motor imagery and hypnotic susceptibility explain conversion disorder with motor symptoms? Neuropsychologia. 2016; 89: 287-298. doi: 10.1016/j.neuropsychologia.2016.06.030. [CrossRef]
- Santarcangelo EL. New views of hypnotizability. Front Behav Neurosci. 2014; 8: 224. doi: 10.3389/fnbeh.2014.00224. [CrossRef]
- Carli G, Cavallaro FI, Rendo, CA, Santarcangelo EL. Imagery of different sensory modalities: Hypnotizability and body sway. Exp Brain Res. 2007; 179: 147-54. [CrossRef]
- Carli G, Cavallaro FI, Santarcangelo EL. Hypnotisability and imagery modality preference: Do Highs and Lows live in the same world? Contemp Hypn. 2007; 24: 64-75, [CrossRef]
- Santarcangelo EL, Scattina E, Carli G, Ghelarducci B, Orsini P, Manzoni D. Can imagery become reality? Exp Brain Res. 2010; 206: 329-335. doi: 10.1007/s00221-010-2412-2. [CrossRef]
- Campioni L, Banfi T, Santarcangelo EL, Hypnotizability influences the cortical representation of visually and kinaesthetically imagined head position. Brain Cognition. 2018; 123, 120-125. [CrossRef]
- Ibáñez-Marcelo E, Campioni L, Phinyomark A, Petri G, Santarcangelo EL. Topology highlights mesoscopic functional equivalence between imagery and perception: The case of hypnotizability, NeuroImage. 2019; 200: 437-449. doi.org/10.1016/j.neuroimage.2019.06.044 [CrossRef]
- Ruggirello S, Campioni L, Piermanni S, Sebastiani L, Santarcangelo EL. Does hypnotic assessment predict the functional equivalence between motor imagery and action? Brain Cogn. 2019 in press. [CrossRef]
- Kosslyn SM, Thompson WL, Alpert NM. Neural systems shared by visual imagery and visual perception: A positron emission tomography study. Neuroimage. 1997; 6: 320-334. [CrossRef]
- Bartolomeo P. The neural correlates of visual mental imagery: An ongoing debate. Cortex. 2008; 44: 107-108. doi: 10.1016/j.cortex.2006.07.001 [CrossRef]
- Ganis G, Thompson WL, Kosslyn SM. Brain areas underlying visual mental imagery and visual perception: an fMRI study. Brain Res Cogn Brain Res. 2004; 20: 226-241. [CrossRef]
- Jeannerod, M. Neural simulation of action: A unifying mechanism for motor cognition. Neuroimage. 2001; 14: S103-S109. [CrossRef]
- Guillot A, Collet C, Nguyen VA, Malouin F, Richards C, Doyon J. Functional neuroanatomical networks associated with expertise in motor imagery. Neuroimage. 2008; 41: 1471-1483. doi: 10.1016/j.neuroimage.2008.03.042. [CrossRef]
- Guillot A, Di Rienzo F, Macintyre T, Moran A, Collet C. Imagining is not doing but involves specific motor commands: A review of experimental data related to motor inhibition. Front Hum Neurosci. 2012; 6: 247. doi: 10.3389/fnhum.2012.00247. [CrossRef]
- Ridderinkhof KR, Brass M. How kinesthetic motor imagery works: A predictive-processing theory of visualization in sports and motor expertise. J Physiol Paris. 2015; 109: 53-63. doi:10.1016/j.jphysparis.2015.02.003. [CrossRef]
- Papalia E, Manzoni D, Santarcangelo EL. Stabilizing posture through imagery. Int J Clin Exp Hypn. 2014; 62: 292-309. doi: 10.1080/00207144.2014.901080. [CrossRef]
- Shine JM, Bissett PG, Bell PT, Koyejo O, Balsters JH, Gorgolewski KJ, et al. The dynamics of functional brain networks: Integrated network states during cognitive task performance. Neuron. 2016; 92: 544-554. doi:10.1016/j.neuron.2016.09.018. [CrossRef]
- Bell PT, Shine JM. Subcortical contributions to large-scale network communication. Neurosci Biobehav Rev. 2016; 71: 313-322. doi: 10.1016/j.neubiorev.2016.08.036. [CrossRef]
- Di Gruttola F, Orsini P, Carboncini MC, Rossi B, Santarcangelo EL. Revisiting the association between hypnotisability and blink rate. Exp Brain Res. 2014; 232: 3763-3769. doi: 10.1007/s00221-014-4073-z [CrossRef]
- Szekely A, Kovacs-Nagy R, Bányai EI, Gosi-Greguss AC, Varga K, Halmai Z, et al. Association between hypnotizability and the Catechol-O-Methyl-Transferase (COMT) polymorphism. Int J Clin Exp Hypn. 2010; 58: 301-315. doi: 10.1080/00207141003760827. [CrossRef]
- Presciuttini S, Gialluisi A, Barbuti S, Curcio M, Scatena F, Carli G, et al. Hypnotizability and Catechol-O-Methyltransferase (COMT) polymorphysms in Italians. Front Hum Neurosci. 2014; 7: 929. doi: 10.3389/fnhum.2013.00929. [CrossRef]
- Santarcangelo EL, Briscese L, Capitani S, Orsini P, Varanini M, Rossi B, et al. Blink reflex in subjects with different hypnotizability: New findings for an old debate. Physiol Behav. 2016; 163: 288-293. doi: 10.1016/j.physbeh.2016.05.021. [CrossRef]
- Katonai ER, Szekely A, Vereczkei A, Sasvari-Szekely M, Bányai ÉI. Varg, K. Dopaminergic and serotonergic genotypes and the subjective experiences of hypnosis. Int J Clin Exp Hypn. 2017; 65: 379-97. [CrossRef]
- Kamigaki T. Prefrontal circuit organization for executive control. Neurosci Res. 2019; 140: 23–36 [CrossRef]
- Incognito O, Menardo E, Di Gruttola F, Tomaiuolo F, Sebastiani L, Santarcangelo EL. Visuospatial imagery in healthy individuals with different hypnotizability levels. Neurosci Lett. 2019; 690: 158-161. doi:10.1016/j.neulet.2018.10.039. [CrossRef]
- Costa VD, Rudebeck PH. More than meets the eye: The relationship between pupil size and locus coeruleus activity. Neuron. 2016; 89: 8-10. doi:10.1016/j.neuron.2015.12.031. [CrossRef]
- Joshi S, Li Y, Kalwani RM, Gold JI. Relationships between pupil diameter and neuronal activity in the locus coeruleus, colliculi, and cingulate cortex. Neuron. 2016; 89: 221-234. [CrossRef]
- Blakemore SJ. Deluding the motor system. Conscious Cogn. 2003; 12: 647-655. [CrossRef]
- Hanakawa T, Dimyan MA, Hallett M. Motor planning, imagery, and execution in the distributed motor network: A time-course study with functional MRI.Cereb Cortex.2008; 18: 2775–2788. doi: 10.1093/cercor/bhn036. [CrossRef]
- Galán F, Baker MR, Alter K, Baker SN. Degraded EEG decoding of wrist movements in absence of kinaesthetic feedback. Hum Brain Mapp. 2015; 36: 643-654. doi: 10.1002/hbm.22653. [CrossRef]
- Ramos-Murguialday A, Birbaumer N. Brain oscillatory signatures of motor tasks. J Neurophysiol. 2015; 113: 3663-3682. doi: 10.1152/jn.00467.2013. [CrossRef]
- Weitzenhoffer AM, Hilgard ER. Scala Stanford Di Suscettibilità Ipnotica, Forme A.B. Versione Italiana. Organizzazioni Speciali, Firenze; 1959.
- Kurillo G, Han JJ, Obdrzalek S, Yan P, Abresch RT, Nicorici A, et al. Upper extremity reachable workspace evaluation with Kinect. Stud Health Technol Inform. 2013; 184: 247–253
- Salmelin R, Hari R. Spatiotemporal characteristics of sensorimotor neuromagnetic rhythms related to thumb movement. Neurosci., 1994; 60: 537-550. [CrossRef]
- Rizzolatti G, Craighero L. The mirror-neuron system. Ann Rev Neurosci. 2004; 27: 169-192. [CrossRef]
- Llanos C,Rodriguez M,Rodriguez-Sabate C,Morales I,Sabate M. Mu-rhythmchanges during the planning of motor and motor imagery actions. Neuropsychologia.2013; 51: 1019-1026. [CrossRef]
- Niedermeyer, E. Alpha rhythms as physiological and abnormal phenomena. Int J Psychophysiol. 1997; 26: 31-49. [CrossRef]
- Nishimura Y,Ikeda Y, Higuchi S. The relationship between inhibition of automatic imitation and personalcognitivestyles. J Physiol Anthropol.2018; 37: 24. [CrossRef]
- Martin F, Flasbeck V, Brown EC, Brüne M. Altered mu-rhythm suppression in Borderline Personality Disorder. Brain Res. 2017; 1659: 64-70. [CrossRef]
- Gerloff C,Richard J,Hadley J,Schulman AE,Honda M,Hallett M. Functional coupling and regional activation of human cortical motor areas during simple, internally paced and externally paced finger movements. Brain. 1998; 121: 1513-1531. [CrossRef]
- DickinsonMH, FarleyCT, FullRJ, KoehlMAR, KramR, LehmanS.How animals move: An integrative view.Science.2000; 288:100-106. [CrossRef]
- GhezC, HeningW, GordonJ. Organization of voluntary movement.Curr Opin Neurobiol.1991;1:664-671. [CrossRef]
- Baker SN. Oscillatory interactions between sensorimotor cortex and the periphery. Curr Opin Neurobiol. 2007; 17: 649-655. doi: 10.1016/j.conb.2008.01.007. [CrossRef]
- Sebastiani L, Simoni A, Gemignani A, Ghelarducci B, Santarcangelo EL. Relaxation as a cognitive task. Arch Ital Biol. 2005; 143: 1-12.
- De Pascalis V, Bellusci A, Russo PM. Italian norms for the Stanford Hypnotic Susceptibility Scale, Form C. Int J Clin Exp Hypn. 2000; 48: 315-323. [CrossRef]
- Terhune DB, Cardeña E. Heterogeneity in high hypnotic suggestibility and the neurophysiology of hypnosis. Neurophysiol Clin. 2015; 45: 177-178. [CrossRef]