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. Author manuscript; available in PMC: 2016 Nov 1.
Published in final edited form as: Allergy. 2015 Sep 10;70(11):1485–1492. doi: 10.1111/all.12727

The imagined itch: Brain circuitry supporting nocebo-induced itch in atopic dermatitis patients

Vitaly Napadow 1,2,*, Ang Li 1, Marco Loggia 1, Jieun Kim 1, Ishtiaq Mawla 1, Gaelle Desbordes 1, Peter C Schalock 3, Ethan A Lerner 3, Thanh N Tran 3, Johannes Ring 4, Bruce R Rosen 1, Ted J Kaptchuk 5, Florian Pfab 1,4,6
PMCID: PMC4609272  NIHMSID: NIHMS716911  PMID: 26280659

Abstract

Background

Psychological factors are known to significantly modulate itch in patients suffering from chronic itch. Itch is also highly susceptible to both placebo and nocebo (negative placebo) effects. Brain activity likely supports nocebo-induced itch, but is currently unknown.

Methods

We collected functional MRI (fMRI) data from atopic dermatitis (AD) patients, in a within-subject design, and contrast brain response to nocebo saline understood to be allergen versus open-label saline control. Exploratory analyses compared results to real allergen itch response and placebo responsiveness, evaluated in the same patients.

Results

Nocebo saline produced greater itch than open saline control (p<0.01). Compared to open saline, nocebo saline demonstrated greater fMRI response in caudate, dorsolateral prefrontal cortex (dlPFC), and intraparietal sulcus (iPS) - brain regions important for cognitive executive and motivational processing. Exploratory analyses found that subjects with greater dlPFC and caudate activation to nocebo-induced itch also demonstrated greater dlPFC and caudate activation, respectively, for real allergen itch. Subjects reporting greater nocebo-induced itch also demonstrated greater placebo reduction of allergen-evoked itch, suggesting increased generalized modulation of itch perception.

Conclusions

Our study demonstrates the capacity of nocebo saline to mimic both the sensory and neural effects of real allergens and provides an insight to the brain mechanisms supporting nocebo-induced itch in AD, thus aiding our understanding of the role that expectations and other psychological factors play in modulating itch perception in chronic itch patients.

Keywords: atopic dermatitis, caudate, nocebo, placebo, pruritus

Introduction

Itch is an aversive sensory experience associated with the urge to scratch. It is the cardinal symptom of multiple allergic and dermatological diseases, and is known to be significantly modulated by cognitive and emotional factors (1). For instance, placebo and nocebo (negative placebo) effects for itch have been demonstrated in healthy subjects, and may be even more pronounced than placebo and nocebo effects for pain (2). Nocebo effects also extend to patients suffering from chronic itch, e.g. atopic dermatitis (AD). A previous study found that AD patients receiving histamine reported greater itch when the stimulus was accompanied by negative verbal suggestions about skin response and itch perception (3). Interestingly, itch can be induced without any pruritogenic agent. Recent studies have found that a lecture about itch induced more frequent scratching bouts than a lecture on a neutral topic (4), while visual cues (e.g. scratching videos) can also induce a “social contagion” itch sensation, which is greater in AD (5), and is associated with functional MRI (fMRI) activity in prefrontal, premotor, somatosensory, and insular brain regions (6). While these studies demonstrate that itch is highly modulated and even evoked by psychological factors, the brain circuitry supporting clinically relevant forms of nocebo-induced itch perception is unknown.

Nocebo effects are broadly defined as subjective reports of an aversive symptom following administration of an inert stimulus (7, 8) and can be quite powerful. For instance, while placebo responses can be learned from multiple conditioning trials, nocebo responses have been shown to require only a single conditioning trial (9). The brain circuitry supporting nocebo may also be distinct from the circuitry associated with placebo effects (1012), or may result from an opposite response of identical neurochemical systems (13). Past nocebo neuroimaging studies have mainly investigated nocebo effects in the context of pain; similar approaches to evaluate the brain activity underlying nocebo-induced (or “pruricebo” (5)) itch are lacking.

In this study, we applied fMRI and our validated temperature-modulation itch model to evaluate the underlying brain circuitry supporting clinically-relevant nocebo-induced itch in AD subjects. In separate scans, subjects experienced saline skin prick stimulation under two different conditions – nocebo saline understood to be allergen and an open-label saline control. We hypothesized that subjects would experience significantly greater itch perception under nocebo compared to open saline, and that brain response to nocebo-induced itch would be significantly more robust. As the AD patients in this study also completed a separate study where brain response to real allergen itch and placebo responsiveness were assessed (14), separate exploratory analyses correlated (a) nocebo saline versus real allergen brain responses, and (b) nocebo versus placebo psychophysical outcomes.

METHODS

Subjects

Subjects with a clinical diagnosis of AD were enrolled in the study. Inclusion criteria included 1) male or female adults aged 18–60, 2) AD diagnosis with a SCORAD (SCORing Atopic Dermatitis) score > 18, and 3) type-I-sensitivity to grass pollen, birch pollen and/or Dermatophagoides pteronyssinus or Dermatophagoides farinae with wheal and flare formation upon skin-prick-testing. Patients stopped any immunosuppressive medications (e.g. prednisone, cyclosporine) at least 10 days prior to the study to avoid potential suppression of itch perception. AD patients were recruited by print and email advertisement, as well as through physician colleagues in the Department of Dermatology at Massachusetts General Hospital (MGH). All patients gave informed consent and the protocol was approved by the Human Research Committee of MGH.

Fourteen patients (8F, age: 25.4 ± 9.1 years old, SCORAD: 38.7 ± 14.9, μ±ΣΔ) were enrolled in the study.

Experimental Protocol and Itch Provocation Model

Subjects first completed a training session and were evaluated with a focused history, physical exam, and real allergen skin prick testing to confirm eligibility by a dermatologist and allergologist (FP). The allergens used to elicit itch were concentrated solutions of grass pollen (N=8), Dermatophagoides pteronyssinus (European house dust mite, N=3), or Dermatophagoides farinae (American house dust mite, N=3). Handedness was assessed with the Edinburgh Inventory (15). All but one patient was right handed.

As a part of this training session, subjects experienced how cooling the skin can aggravate real allergen itch perception using our temperature modulated itch provocation model, which has been previously validated by us (14, 16, 17) and by others (18). Subjects also completed an itch expectancy visual analog scale, which asked subjects to rate the intensity of itch they expect to feel at the MRI in response to allergen testing (anchors: “no itch” and “maximum itch”).

During the MRI session, AD patients experienced 2 different temperature modulation fMRI scan runs with saline. For these runs, a clear and odorless saline solution was placed on the left volar forearm skin (unaffected by any AD lesion), followed by deposition of the solution to the dermal/epidermal junction using a plastic MR-compatible skin prick device (Duotip Test II, Lincoln Diagnostics, Decatur, IL). For the “open” saline control fMRI run, subjects were instructed that the solution was a “simple drop of water, which we are using as a control condition to compare with the drop of allergen you will receive later.” For the “nocebo” saline fMRI run, this instruction was not given when the drop of saline was deposited into the skin. Subjects were clearly led to expect an allergen solution prick test at this scan, as they had experienced this identical ritual at previous study visits on different days (14). The order of these two saline scan runs was counter-balanced. For both fMRI scans, 120 seconds after skin prick procedures, the saline solution was wiped away with a sterile cellulose pad. A 30 × 30 mm sized MRI-compatible probe (Medoc Advanced Medical Systems, Rimat Yishai, Israel) was then placed on the solution treated skin area for temperature modulation during subsequent fMRI scanning.

Following the scan runs, subjects used a numerical rating scale from 0 (no itch) to 100 (most intense itch imaginable) to rate the intensity of itch experienced separately during neutral and cool temperature modulation blocks. As in our previous studies (14, 16, 17, 1922), subjects were instructed that a rating of 33 corresponds to an “urge to scratch” threshold. Above this threshold, each individual feels the clear-cut desire to scratch, which however, was not permitted (and confirmed by observation).

Psychophysical Analyses

Itch severity was rated for neutral and cool blocks following the fMRI scan. Itch intensities for the cool temperature block (more severe itch) were assessed for normality using the Shapiro-Wilk Normality Test and compared between the nocebo saline and open saline control, using a paired Students’ T-test or Wilcoxon Signed-Rank test, depending on normality. Results from psychophysical analyses were significant at p<0.05.

MRI Scanning Protocol

Imaging was performed at 3 Tesla on a Siemens Trio MRI scanner (Siemens AG, Erlangen, Germany). High-resolution T1-weighted structural imaging was completed with an isotropic multi-echo MPRAGE pulse sequence (TR/TE1/TI = 2530/1.64/1200mS, matrix=256×256, FOV=256mm, FA=7°). Functional MRI (fMRI) data were collected with a gradient echo T2*-weighted pulse sequence (TR/TE=2s/30ms, 32 AC-PC aligned slices, slice thickness=3.6mm, matrix=64×64, FOV=200mm, FA=90°) and a 32-channel multi-array coil. All block design fMRI scan runs included 8 equal 20-second cycles, consisting of alternating neutral (32°C) and cool (25°C) temperature blocks (1.5 second transit time between temperatures), resulting in a total 180 timepoints over a 6-minute scan run. Skin temperature over the solution deposition site was modulated by the Medoc thermal stimulator.

FMRI Data Analyses

BOLD images were preprocessed using the FMRIB Software Library (FSL) and tools available through the FreeSurfer software package (23, 24). Data were skull stripped (brain extraction tool, BET) (25), slice-timing corrected, motion corrected (MCFLIRT) (26), and spatially smoothed with a FWHM 5mm Gaussian kernel (27). Data were excluded if gross translational motion exceeded 3mm on any axis, or if relative motion spikes exceeded 1.5mm. Data were high-pass filtered (fhigh=0.017Hz) and analyzed with a general linear model (GLM). This GLM used 3 regressors based on previously described dynamics of temperature-modulated itch sensation (14, 16, 22, 28). A block regressor over the first half of cool temperature blocks captured a period of increasing itch. A regressor over the second half of cool blocks captured a peak-plateau itch period. Finally, a regressor of no-interest covered the first 12 seconds of the 20-second neutral (32°C) block, when itch sensation decreases to its nadir. Importantly, as temperature modulation was a component of all scans, our analysis applied to both nocebo and control open-saline fMRI scans, thus controlling for brain activity related to the relatively mild temperature change.

To aid group analysis, cortical surface reconstruction was performed using FreeSurfer for structural-functional boundary-based co-registration (29). GLM parameter estimates and their variances were passed up to the group level using registration to standard Montreal Neurological Institute (MNI) space (FMRIB’s Non-linear Image Registration Tool, FNIRT, FSL). A mixed-effects model contrasted brain response between the open and nocebo saline fMRI scans (FMRI Expert Analysis Tool, FEAT, FMRIB Software Library, FSL). Results for both increasing and peak itch regressors were cluster corrected for multiple comparisons (cluster forming threshold: z>2.3, corrected threshold: p<0.05).

Exploratory Analyses

Two separate exploratory analyses were conducted. The first compared brain response to nocebo itch with previously reported real allergen itch data collected from separate scan runs from the same AD subjects (14). The methods for the real allergen scan run were identical to those of the nocebo scan, except that real allergen (and not saline) was deposited on the skin surface prior to scanning. Correlations between nocebo (relative to control) brain response versus brain response in the same regions to allergen-evoked itch were computed, using the percent-signal change from the group cluster maximum voxel.

The second exploratory analysis correlated behavioral data on previously reported (14) placebo intervention responsiveness (see Supplementary Methods) with nocebo responsiveness from the same patients.

RESULTS

Psychophysical results

Itch was elicited by saline prick testing and was significantly greater during cool blocks compared to neutral blocks for both open and nocebo conditions (Figure 1, Supplementary Table 1, nocebo: cool=37.0±20.6, neutral=27.9±19.1, p<0.005; control open saline: cool=18.5±18.7, μ ±ΣD; neutral=10.5±11.6, p<0.05). Greater itch during cool blocks is consistent with previous studies using the temperature-modulated allergen itch model, now utilized by other research groups as well (18), and suggests similar temporal dynamics for itch perception between nocebo and real allergen. Notably, while both the nocebo and control open conditions found, on average, greater itch during cool blocks, only the nocebo condition produced cool block itch of moderate intensity, greater than 33/100 (i.e. “desire to scratch” threshold). While the nocebo itch data were normally distributed (nocebo: W=0.95, p=0.05 threshold=0.87) the open saline data were not (W=0.85). Hence a non-parametric paired Wilcoxon Signed-Rank test was used to demonstrate that the nocebo condition produced significantly greater itch compared to the open saline condition (Z=−3.18, p<0.01). There were no order effects for open saline control itch (nocebo 1st: 21.8±13.6; open 1st: 16.0±22.2, μ ±ΣΔ,π>0.5) or for the difference between nocebo-induced itch and open saline itch (nocebo 1st: 15.6±15.9; open 1st: 20.6±13.8, μ±ΣΔπ>0.5, suggesting that nocebo-induced itch sensation did not persist into subsequent open saline itch fMRI scans.

Figure 1.

Figure 1

Nocebo saline produced greater itch compared to open saline control. Note: ** p<0.01;. Itch ratings reported for cool temperature blocks, when ratings were greatest for all conditions. Error bars denote SEM.

We also evaluated how expectancy for itch was associated with nocebo itch ratings and found a trending correlation between itch expectancy ratings and nocebo (minus open saline) itch ratings (r=0.47, p=0.1).

FMRI results

We found that, compared to open saline, nocebo-induced itch produced greater fMRI signal increase during the increasing itch phase in the dorsolateral prefrontal cortex (dlPFC), caudate, and intraparietal sulcus (iPS) (Figure 2, Table 1). No regions demonstrated greater activation to open saline compared to nocebo-induced itch. Also, no differences between nocebo and open saline were found for the peak itch phase.

Figure 2.

Figure 2

Compared to open saline control, nocebo-induced itch produced greater fMRI signal increase in the dorsolateral prefrontal cortex (dlPFC), caudate, and intraparietal sulcus (iPS). This differential brain response was found for the increasing itch phase.

Table 1.

Brain areas supporting nocebo-induced itch in AD patients

side size (mm3) location (MNI) Nocebo %-change Open %-change Z-score
X Y Z
Increasing phase itch
nocebo > open saline
  dlPFC R 4008 36 22 54 0.17±0.31 −0.43±0.48 4.11
  iPS L 4064 −50 −46 42 0.19±0.30 −0.17±0.22 4.22
  caudate R 3720 14 18 10 0.16±0.19 −0.07±0.20 2.77
open saline > nocebo
  none
Peak-plateau phase itch
  none

Exploratory Analyses

Exploratory analyses compared nocebo itch brain response to real allergen itch response. Conjunction analysis demonstrated common clusters within the right dlPFC and right caudate shared by nocebo-induced increasing-phase itch and real allergen peak-phase itch (Figure 3). In addition, nocebo (relative to control) caudate response during increasing itch was correlated (r=0.58, p<0.05) with caudate (x=−20mm, y=10mm, z=16mm) response to real allergen during increasing itch (Figure 3). Moreover, nocebo (relative to control) dlPFC response during increasing itch was correlated (r=0.61, p<0.05) with dlPFC (x=36mm, y=20mm, z=52mm) response to real allergen during the peak-plateau phase (note that dlPFC was not activated by real allergen during increasing itch (14)). While real allergen activated superior parietal lobule during the peak itch phase, this activation was not correlated with iPS activation by nocebo-induced itch (r=−0.14, p=0.63).

Figure 3.

Figure 3

A conjunction analysis found significant overlap between brain response to nocebo-induced itch and allergen itch in the A) caudate and B) dlPFC. In fact, subjects with greater dlPFC (peak itch phase) and caudate (increasing itch phase) activation to real allergen also had greater dlPFC (r=0.61, p<0.05) and caudate (r=0.58, p<0.05) activation, respectively, for increasing nocebo-induced itch.

In addition, we also compared ratings for nocebo and placebo responsiveness in the same AD patients. While placebo did not significantly reduce allergen-evoked cool block itch ratings (Δpost-pre=1.8±16.7, p>0.5), significant within-group heterogeneity provided sufficient dynamic range for cross-correlation with nocebo responsiveness in the same subjects. We found a significant correlation between nocebo-induced itch ratings (ratings following nocebo saline) and the change in itch ratings (for allergen-evoked itch) following a placebo intervention (Figure 4, r=−0.59, p<0.05). Thus, subjects who rated greater itch sensations following nocebo saline administration also reported greater improvement (post–pre) in allergen-evoked itch ratings following placebo intervention.

Figure 4.

Figure 4

AD patients reporting greater nocebo-induced itch also demonstrated greater reduction of allergen itch ratings following a placebo intervention (r=−0.59, p<0.05), suggesting increased capacity for generalized modulation of itch perception in these subjects.

There was no association between nocebo ratings and duration of AD, SCORAD score, or age (all at p>0.05, Supplemetary Table 2) while sex also did not differentiate nocebo response, unpaired t-test, p=0.27).

DISCUSSION

Our results demonstrated that nocebo-induced itch produced greater itch sensation compared to a control open saline provocation in patients suffering from atopic dermatitis (AD). FMRI data showed that compared to control, brain response to nocebo-induced itch showed greater fMRI signal increase in brain regions important for motivational, attention, and cognitive processing, including caudate, dorsolateral prefrontal cortex (dlPFC), and intraparietal sulcus (iPS) (Figure 5). An exploratory analysis showed that real allergen provocation in these same AD patients produced activation in similar areas, including the striatum and dlPFC. In fact, brain response to real allergen was correlated with nocebo-induced itch response in some of these same brain regions - i.e. subjects with greater dlPFC and caudate activation to real allergen also had greater dlPFC and caudate activation, respectively, for nocebo-induced itch. These results suggest that when subjects perceive nocebo-induced itch, the prefrontal and striatal circuitry activated by real allergen is also activated to support this nocebo-induced itch sensation. Finally, another exploratory analysis showed that subjects reporting greater nocebo-induced itch also demonstrated greater reduction of allergen itch ratings following a placebo intervention, suggesting increased generalized modulation of itch perception in these subjects. Our study identifies the brain circuitry supporting imagined itch in AD and demonstrates the capacity of nocebo saline to mimic the effect of real allergens in chronic AD patients characterized by central sensitization for itch (30).

Figure 5.

Figure 5

An overview of brain regions identified in our study as supporting nocebo itch.

The dlPFC and caudate were found to be the key brain regions supporting both real allergen and nocebo-induced itch. Previous neuroimaging studies have noted that nocebo interventions up-regulate fMRI response to aversive stimuli (i.e. pain) within core pain processing areas such as insula/somatosensory cortex (31) or even spinal dorsal horn (32). The dlPFC is also an important pain modulatory region that has been reported to exert active control over pain perception by mediating cortico-cortical and cortico-subcortical interactions (33). On the other hand, the caudate, a subregion of the striatum, receives inputs from the cortex and plays a critical integrative role in striato-thalamo-cortical circuits implicated in motivational processing. This circuitry has been found to be dysregulated in pathology related to generalized urge suppression (34). Examples of such disorders include obsessive/compulsive disorder, obesity, and addiction, and in the case of chronic itch, striato-thalamo-cortical circuits likely support the urge to scratch (35). Hence, the dlPFC region noted in our analysis may underlie the cognitive executive process by which a verbal suggestion (“skin prick test again”) coupled with an innocuous sensory input (neutral to cool transition in our study) is perceived as an aversive sensation (nocebo-induced itch) learned/conditioned over multiple previous real allergen sessions with identical context, thereby releasing activity of a striatal motor urge circuitry. In fact, this combination of verbal suggestion and conditioning has recently been shown to be necessary in producing an itch nocebo effect (36).

We previously identified phase-variant brain response to pruritogenic afference evoked by real allergen in these same AD patients (14). Increasing itch was associated with activation in the insula, anterior mid-cingulate cortex, striatum, and ventrolateral prefrontal cortex. In contrast, peak-plateau itch activation was noted in the dlPFC, premotor, and superior parietal lobule regions, i.e. higher cognitive and attention modulation regions that likely contextualize the stimulus. Interestingly, while our previous study showed that allergen itch produced caudate activation during early increasing itch and dlPFC activation during late peak-plateau itch, nocebo-induced itch was instead associated with both caudate and dlPFC activation during increasing itch. Hence, while the function of the dlPFC in processing bottom-up allergen itch may be to contextualize and re-appraise the sensation after initial striatal activity, for top-down mediated nocebo-induced itch, the dlPFC, together with the caudate, may instead serve to initiate itch sensation following a now conditioned temperature transition stimulus, given that subjects had been familiarized to allergen itch over prior sessions, setting up a conditioned response to the prick testing intervention. This phenomenon may be clinically relevant, as AD patients might show propensity to itch perception in response to neutral or noxious (but not innately pruritogenic) stimuli by activating similar circuitry.

We also found that iPS showed greater fMRI signal increase during nocebo-induced itch compared to control open saline. The iPS is known to be a key node of the brain’s selective attention system and more recent studies have suggested that the iPS is particularly related to the perceptual salience of the attended stimulus (37). This latter function is consistent with how the brain might respond toward a potentially itch-inducing stimulus when the expectation for itch is greater, leading to greater saliency of somatosensory stimulus change (i.e. transition from a neutral to a cool temperature). Interestingly, the dlPFC and iPS clusters supporting nocebo-induced itch were both localized to portions of the frontoparietal control network (38, 39), as identified from prior large-scale resting state connectivity analyses (40). This network is known to support cognitive/executive control over sensory perception and decision-making processing. Thus, nocebo-induced itch perception may be mediated by executive frontoparietal control over subcortical striatal brain regions (e.g. caudate) that encode the motivational and emotional dimensions of this aversive sensation.

An exploratory analysis also found an association between subjects reporting greater nocebo-induced itch and those reporting greater reduction of allergen itch ratings following a placebo intervention, suggesting increased capacity for generalized modulation of itch perception in these subjects. The association between nocebo and placebo effects has not been well studied. While some pain studies suggest that the brain circuitry supporting nocebo involves limbic (e.g. hippocampus) brain activity and is distinct from the circuitry associated with placebo effects (10, 12, 41), other studies have shown that nocebo/placebo effects occur via opposite responses of the same neurochemical systems (13). Similarly, a recent study found that placebo manipulations produce analgesia and hyperhedonia via shared affective neurocircuitry, which targets early sensory processing (42), a finding that may relate to our observation that nocebo itch was engaged through cortico-striatal activity during an early increasing itch phase. However, much more research is needed to better understand the relation between placebo and nocebo responders for itch.

The role of anxiety, as well as more general constructs such as stress and negative affect, has been highly touted in previous studies of nocebo-induced pain. Anxiety is thought to arise from negative expectation and prior studies have shown that negative suggestions modulate expectations and heighten anxiety leading to greater pain report and hyperactivation in prefrontal and limbic brain regions thought to process cognitive and affective dimensions of pain (12, 43). In our case, previous experience with the allergen prick test induces expectation for itch when exposed to liquid pricked into the skin and a trend was found between expected and nocebo itch intensity.

While we did not include a healthy controls in this study, a previous neuroimaging study (44) demonstrated that brain response to identical pruritogenic substances (e.g. histamine) are different between AD and healthy controls with AD showing greater activation in thalamus, caudate, and pallidum. Such differences may extend to differences in brain circuitries supporting nocebo itch as well.

Limitations include the fact that temporal evolution of nocebo itch is not as well understood as allergen itch. However, itch psychophysics were similar for temperature effects (i.e. greater itch during cool blocks), and while more research is needed, we chose a similar GLM model to enhance comparability between studies.

In conclusion, our study provides a better understanding of the brain mechanisms supporting nocebo-induced itch in AD patients, which will aid our understanding of the role that expectations and other psychological factors play in worsening and improvement of itch perception in chronic itch patients.

Supplementary Material

Supp TableS1-S2

Acknowledgments

We would like to thank NIH for funding support (VN: K01-AT002166, R01-AT004714, BRR: P01-AT002048; TK: K24-AT004095; EAL: R01-AR057744), the NCRR (P41RR14075; CRC 1 UL1 RR025758, Harvard Clinical and Translational Science Center), and the Shared Instrumentation Grant (1S10RR023043 & S10RR023401). This study was also partly funded by a grant of the German Acupuncture Society (DÄGfA), German Research Foundation (pf 690/2–1), and the Christine Kühne Center of Allergy and Education (CK-Care). The author have no conflict of interest for this research.

Footnotes

No conflicts of interest to declare for any author

Author Contributions

1=project conception, 2=experimental design, 3=data collection, 4=data analysis, 5=data interpretation, 6=manuscript preparation. VN, 1–6; AL, 3-6; ML, 2-3, 5-6; JK, 5-6; IM, 5-6; GD, 5-6; PS, 2, 5-6; EL, 5-6; TT, 5-6; JR, 5-6; BR, 5-6; TK, 1-2, 5-6; FP, 1-6.

All authors have read and approved the paper.

References

  • 1.Yosipovitch G, Bernhard JD. Clinical practice. Chronic pruritus. N Engl J Med. 2013;368:1625–1634. doi: 10.1056/NEJMcp1208814. [DOI] [PubMed] [Google Scholar]
  • 2.van Laarhoven AI, Vogelaar ML, Wilder-Smith OH, et al. Induction of nocebo and placebo effects on itch and pain by verbal suggestions. Pain. 2011;152:1486–1494. doi: 10.1016/j.pain.2011.01.043. [DOI] [PubMed] [Google Scholar]
  • 3.Scholz O, Hermanns N. Illness behavior and cognitions influence the perception of itching of patients suffering from atopic dermatitis. Zeitschrift für klinische Psychologie. 1994;23:127–135. [Google Scholar]
  • 4.Niemeier V, Kupfer J, Gieler U. Observations during an Itch-Inducing Lecture. Dermatology Psychosomatics. 2000;1:15–18. [Google Scholar]
  • 5.Papoiu AD, Wang H, Coghill RC, Chan YH, Yosipovitch G. Contagious itch in humans: a study of visual ’transmission’ of itch in atopic dermatitis and healthy subjects. Br J Dermatol. 2011;164:1299–1303. doi: 10.1111/j.1365-2133.2011.10318.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Holle H, Warne K, Seth AK, Critchley HD, Ward J. Neural basis of contagious itch and why some people are more prone to it. Proc Natl Acad Sci U S A. 2012;109:19816–19821. doi: 10.1073/pnas.1216160109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Barsky AJ, Saintfort R, Rogers MP, Borus JF. Nonspecific medication side effects and the nocebo phenomenon. JAMA. 2002;287:622–627. doi: 10.1001/jama.287.5.622. [DOI] [PubMed] [Google Scholar]
  • 8.Wells RE, Kaptchuk TJ. To tell the truth, the whole truth, may do patients harm: the problem of the nocebo effect for informed consent. The American journal of bioethics : AJOB. 2012;12:22–29. doi: 10.1080/15265161.2011.652798. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Colloca L, Petrovic P, Wager TD, Ingvar M, Benedetti F. How the number of learning trials affects placebo and nocebo responses. Pain. 2010;151:430–439. doi: 10.1016/j.pain.2010.08.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Benedetti F, Amanzio M, Vighetti S, Asteggiano G. The biochemical and neuroendocrine bases of the hyperalgesic nocebo effect. J Neurosci. 2006;26:12014–12022. doi: 10.1523/JNEUROSCI.2947-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Bingel U, Wanigasekera V, Wiech K, et al. The effect of treatment expectation on drug efficacy: imaging the analgesic benefit of the opioid remifentanil. Science translational medicine. 2011;3:70ra14. doi: 10.1126/scitranslmed.3001244. [DOI] [PubMed] [Google Scholar]
  • 12.Kong J, Gollub RL, Polich G, et al. A functional magnetic resonance imaging study on the neural mechanisms of hyperalgesic nocebo effect. J Neurosci. 2008;28:13354–13362. doi: 10.1523/JNEUROSCI.2944-08.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Scott DJ, Stohler CS, Egnatuk CM, Wang H, Koeppe RA, Zubieta JK. Placebo and nocebo effects are defined by opposite opioid and dopaminergic responses. Arch Gen Psychiatry. 2008;65:220–231. doi: 10.1001/archgenpsychiatry.2007.34. [DOI] [PubMed] [Google Scholar]
  • 14.Napadow V, Li A, Loggia ML, et al. The brain circuitry mediating antipruritic effects of acupuncture. Cereb Cortex. 2014;24:873–882. doi: 10.1093/cercor/bhs363. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971;9:97–113. doi: 10.1016/0028-3932(71)90067-4. [DOI] [PubMed] [Google Scholar]
  • 16.Pfab F, Valet M, Sprenger T, et al. Short-term alternating temperature enhances histamine-induced itch: a biphasic stimulus model. J Invest Dermatol. 2006;126:2673–2678. doi: 10.1038/sj.jid.5700577. [DOI] [PubMed] [Google Scholar]
  • 17.Valet M, Pfab F, Sprenger T, et al. Cerebral processing of histamine-induced itch using short-term alternating temperature modulation--an FMRI study. J Invest Dermatol. 2008;128:426–433. doi: 10.1038/sj.jid.5701002. [DOI] [PubMed] [Google Scholar]
  • 18.Missanga F, van de Sand CS, Christian Büchel. BOLD responses to itch in the human spinal cord. NeuroImage. 2015;108:138–143. doi: 10.1016/j.neuroimage.2014.12.019. [DOI] [PubMed] [Google Scholar]
  • 19.Pfab F, Athanasiadis GI, Huss-Marp J, et al. Effect of acupuncture on allergen-induced basophil activation in patients with atopic eczema:a pilot trial. Journal of Alternative and Complementary Medicine. 2011;17:309–314. doi: 10.1089/acm.2009.0684. [DOI] [PubMed] [Google Scholar]
  • 20.Pfab F, Hammes M, Backer M, et al. Preventive effect of acupuncture on histamine-induced itch: a blinded, randomized, placebo-controlled, crossover trial. J Allergy Clin Immunol. 2005;116:1386–1388. doi: 10.1016/j.jaci.2005.08.055. [DOI] [PubMed] [Google Scholar]
  • 21.Pfab F, Huss-Marp J, Gatti A, et al. Influence of acupuncture on type I hypersensitivity itch and the wheal and flare response in adults with atopic eczema - a blinded, randomized, placebo-controlled, crossover trial. Allergy. 2010;65:903–910. doi: 10.1111/j.1398-9995.2009.02284.x. [DOI] [PubMed] [Google Scholar]
  • 22.Pfab F, Valet M, Sprenger T, et al. Temperature modulated histamine-itch in lesional and nonlesional skin in atopic eczema - a combined psychophysical and neuroimaging study. Allergy. 2010;65:84–94. doi: 10.1111/j.1398-9995.2009.02163.x. [DOI] [PubMed] [Google Scholar]
  • 23.Dale AM, Fischl B, Sereno MI. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage. 1999;9:179–194. doi: 10.1006/nimg.1998.0395. [DOI] [PubMed] [Google Scholar]
  • 24.Fischl B, Sereno MI, Dale AM. Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system. Neuroimage. 1999;9:195–207. doi: 10.1006/nimg.1998.0396. [DOI] [PubMed] [Google Scholar]
  • 25.Smith SM. Fast robust automated brain extraction. Hum Brain Mapp. 2002;17:143–155. doi: 10.1002/hbm.10062. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Jenkinson M, Bannister P, Brady M, Smith S. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage. 2002;17:825–841. doi: 10.1016/s1053-8119(02)91132-8. [DOI] [PubMed] [Google Scholar]
  • 27.Smith SM, Jenkinson M, Woolrich MW, et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage. 2004;23(Suppl 1):S208–219. doi: 10.1016/j.neuroimage.2004.07.051. [DOI] [PubMed] [Google Scholar]
  • 28.Pfab F, Kirchner MT, Huss-Marp J, et al. Acupuncture compared with oral antihistamine for type I hypersensitivity itch and skin response in adults with atopic dermatitis - a patient- and examiner-blinded, randomized, placebo-controlled, crossover trial. Allergy. 2012;67:566–573. doi: 10.1111/j.1398-9995.2012.02789.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Greve DN, Fischl B. Accurate and robust brain image alignment using boundary-based registration. Neuroimage. 2009;48:63–72. doi: 10.1016/j.neuroimage.2009.06.060. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Ikoma A, Fartasch M, Heyer G, Miyachi Y, Handwerker H, Schmelz M. Painful stimuli evoke itch in patients with chronic pruritus: central sensitization for itch. Neurology. 2004;62:212–217. doi: 10.1212/wnl.62.2.212. [DOI] [PubMed] [Google Scholar]
  • 31.Schmid J, Theysohn N, Gass F, et al. Neural mechanisms mediating positive and negative treatment expectations in visceral pain: a functional magnetic resonance imaging study on placebo and nocebo effects in healthy volunteers. Pain. 2013;154:2372–2380. doi: 10.1016/j.pain.2013.07.013. [DOI] [PubMed] [Google Scholar]
  • 32.Geuter S, Buchel C. Facilitation of pain in the human spinal cord by nocebo treatment. J Neurosci. 2013;33:13784–13790. doi: 10.1523/JNEUROSCI.2191-13.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Lorenz J, Minoshima S, Casey KL. Keeping pain out of mind: the role of the dorsolateral prefrontal cortex in pain modulation. Brain. 2003;126:1079–1091. doi: 10.1093/brain/awg102. [DOI] [PubMed] [Google Scholar]
  • 34.Koob GF, Volkow ND. Neurocircuitry of addiction. Neuropsychopharmacology. 2010;35:217–238. doi: 10.1038/npp.2009.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Leknes SG, Bantick S, Willis CM, Wilkinson JD, Wise RG, Tracey I. Itch and motivation to scratch: an investigation of the central and peripheral correlates of allergen- and histamine-induced itch in humans. J Neurophysiol. 2007;97:415–422. doi: 10.1152/jn.00070.2006. [DOI] [PubMed] [Google Scholar]
  • 36.Bartels DJ, van Laarhoven AI, Haverkamp EA, et al. Role of conditioning and verbal suggestion in placebo and nocebo effects on itch. PLoS One. 2014;9:e91727. doi: 10.1371/journal.pone.0091727. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Geng JJ, Mangun GR. Anterior intraparietal sulcus is sensitive to bottom-up attention driven by stimulus salience. J Cogn Neurosci. 2009;21:1584–1601. doi: 10.1162/jocn.2009.21103. [DOI] [PubMed] [Google Scholar]
  • 38.Dosenbach NU, Fair DA, Miezin FM, et al. Distinct brain networks for adaptive and stable task control in humans. Proc Natl Acad Sci U S A. 2007;104:11073–11078. doi: 10.1073/pnas.0704320104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Vincent JL, Kahn I, Snyder AZ, Raichle ME, Buckner RL. Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. J Neurophysiol. 2008;100:3328–3342. doi: 10.1152/jn.90355.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Yeo BT, Krienen FM, Sepulcre J, et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106:1125–1165. doi: 10.1152/jn.00338.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Freeman S, Yu R, Egorova N, et al. Distinct neural representations of placebo and nocebo effects. NeuroImage. doi: 10.1016/j.neuroimage.2015.03.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Ellingsen DM, Wessberg J, Eikemo M, et al. Placebo improves pleasure and pain through opposite modulation of sensory processing. Proc Natl Acad Sci U S A. 2013;110:17993–17998. doi: 10.1073/pnas.1305050110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Tracey I. Getting the pain you expect: mechanisms of placebo, nocebo and reappraisal effects in humans. Nature medicine. 2010;16:1277–1283. doi: 10.1038/nm.2229. [DOI] [PubMed] [Google Scholar]
  • 44.Schneider G, Stander S, Burgmer M, Driesch G, Heuft G, Weckesser M. Significant differences in central imaging of histamine-induced itch between atopic dermatitis and healthy subjects. Eur J Pain. 2008;12:834–841. doi: 10.1016/j.ejpain.2007.12.003. [DOI] [PubMed] [Google Scholar]

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