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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT04296968
Other study ID # 03/2020
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date March 1, 2020
Est. completion date December 1, 2020

Study information

Verified date March 2021
Source Technische Universität München
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

Pain is a highly complex and subjective phenomenon which is not only rooted in sensory information but also shaped by cognitive processes such as expectation. However, the interaction of brain activity cording sensory information and expectation in pain processing are not completely understood. Predictive coding models postulate specific hypothesis about the interplay between bottom-up sensory information and top-down expectations in terms of prediction errors and predictions, respectively. They further implicate brain oscillations at different frequencies, which play a crucial role in processing prediction errors and predictions. More specifically, recent evidence in visual and auditory modalities suggests that predictions are reflected by alpha (8-13 Hz) and beta oscillations (14-30 Hz) and prediction errors by gamma oscillations (60-100 Hz). However, for the processing of pain, these frequency-specific relationships have not been addressed so far. The current project aims to investigate brain activity which reflects predictions, prediction errors and sensory evidence in pain processing using a cueing paradigm. To this end, we will apply painful stimuli with low and high intensity to the dorsum of the left hand in 50 healthy subjects. A visual cue, preceding to each painful stimulus, will predict the intensity of the consecutive painful stimulus (low vs. high) with a probability of 75%. After each painful stimulus, participants will be asked to rate the perceived pain intensity. Electroencephalography (EEG) and skin conductance will be recorded continuously during anticipation and stimulation intervals. This paradigm enables us to compare pain-associated brain responses of validly and invalidly cued trials, i.e. the representation of the prediction error, on the one hand. On the other hand, brain activity related to predictions can be investigated in the anticipation interval preceding to the painful stimulus by comparing trials with low and high intensity cues. Further, we will compare models including predictions, prediction error and sensory evidence to ascertain the involvement of each brain response in processing sensory information and expectation. Results of the study promise to elucidate the interplay of predictions, predictions errors and sensory evidence in pain processing and how they differentially relate to neural oscillations at different frequency bands and pain-evoked responses.


Description:

Not needed


Recruitment information / eligibility

Status Completed
Enrollment 50
Est. completion date December 1, 2020
Est. primary completion date December 1, 2020
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 65 Years
Eligibility Inclusion Criteria: - Age 18-65 years - Right-handedness - Written informed consent Exclusion Criteria: - Pregnancy - Neurological or psychiatric diseases (e.g. epilepsy, stroke, depression, anxiety disorders) - Severe general illnesses (e.g. tumors, diabetes) - Skin diseases (e.g. dermatitis, psoriasis or eczema) - Current or recurrent pain - Regular intake of medication - Surgical procedures involving the head or spinal cord - Metal (except titanium) or electronic implants - Side-effects following previous thermal stimulation

Study Design


Related Conditions & MeSH terms

  • Experimental Pain in Healthy Human Participants

Intervention

Device:
Painful stimulation using a laser device (DEKA Stimul 1340, Calenzano, Italy)
In the experimental paradigm, 160 painful stimuli of two intensities (3 J, 3.5 J) will be applied to the dorsum of the left hand using the laser device listed above.
Visual cueing
Preceding to each painful stimulus, visual cues (e.g., blue dot and yellow square) will be presented on a screen indicating the intensity of the subsequent stimulus (low and high intensity) with an accuracy of 75%. The contingencies of the visual cues will be explicitly stated to the participants.

Locations

Country Name City State
Germany Department of Neurology, Klinikum rechts der Isar, Technische Universität München Munich Bavaria

Sponsors (2)

Lead Sponsor Collaborator
Technische Universität München German Research Foundation

Country where clinical trial is conducted

Germany, 

References & Publications (9)

Bastos AM, Usrey WM, Adams RA, Mangun GR, Fries P, Friston KJ. Canonical microcircuits for predictive coding. Neuron. 2012 Nov 21;76(4):695-711. doi: 10.1016/j.neuron.2012.10.038. Review. — View Citation

Bastos AM, Vezoli J, Bosman CA, Schoffelen JM, Oostenveld R, Dowdall JR, De Weerd P, Kennedy H, Fries P. Visual areas exert feedforward and feedback influences through distinct frequency channels. Neuron. 2015 Jan 21;85(2):390-401. doi: 10.1016/j.neuron.2014.12.018. Epub 2014 Dec 31. — View Citation

Büchel C, Geuter S, Sprenger C, Eippert F. Placebo analgesia: a predictive coding perspective. Neuron. 2014 Mar 19;81(6):1223-1239. doi: 10.1016/j.neuron.2014.02.042. Review. — View Citation

de Lange FP, Heilbron M, Kok P. How Do Expectations Shape Perception? Trends Cogn Sci. 2018 Sep;22(9):764-779. doi: 10.1016/j.tics.2018.06.002. Epub 2018 Jun 29. Review. — View Citation

Egner T, Monti JM, Summerfield C. Expectation and surprise determine neural population responses in the ventral visual stream. J Neurosci. 2010 Dec 8;30(49):16601-8. doi: 10.1523/JNEUROSCI.2770-10.2010. — View Citation

Fazeli S, Büchel C. Pain-Related Expectation and Prediction Error Signals in the Anterior Insula Are Not Related to Aversiveness. J Neurosci. 2018 Jul 18;38(29):6461-6474. doi: 10.1523/JNEUROSCI.0671-18.2018. Epub 2018 Jun 22. — View Citation

Geuter S, Boll S, Eippert F, Büchel C. Functional dissociation of stimulus intensity encoding and predictive coding of pain in the insula. Elife. 2017 May 19;6. pii: e24770. doi: 10.7554/eLife.24770. — View Citation

Todorovic A, de Lange FP. Repetition suppression and expectation suppression are dissociable in time in early auditory evoked fields. J Neurosci. 2012 Sep 26;32(39):13389-95. — View Citation

Todorovic A, van Ede F, Maris E, de Lange FP. Prior expectation mediates neural adaptation to repeated sounds in the auditory cortex: an MEG study. J Neurosci. 2011 Jun 22;31(25):9118-23. doi: 10.1523/JNEUROSCI.1425-11.2011. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Verbal pain rating (NRS; 0: 'no pain' to 100: 'maximum tolerable pain') 160 painful stimuli will be applied to the participants' left hand. Participants will be asked to verbally rate the perceived pain intensity of each stimulus on a numerical rating scale (see above). During 40 minutes of the experimental paradigm
Primary Oscillatory and evoked brain responses pre- and post-stimulus EEG including 64 channels will be recorded. In offline analyses, power of oscillatory brain activity will be quantified in the alpha (8-13 Hz), beta (14-30 Hz) and gamma (60-100 Hz) frequency bands. In addition, laser-evoked potentials (LEPs) will be quantified with regard to amplitudes and latencies. During 40 minutes of the experimental paradigm
Secondary SCRs (µS) SCRs will be recorded using two electrodes attached to the index and middle finger of the left hand. During 40 minutes of the experimental paradigm