Department of Neurology, Klinikum rechts der Isar, Technical University of Munich
Munich, Bavaria, 81675, Germany
NCT Number: NCT05570695
Pain is closely linked to alpha oscillations (8 -13 Hz) which are thought to represent a supra-modal, top-down mediated gating mechanism that shapes sensory processing. Consequently, alpha oscillations might also shape the cerebral processing of nociceptive input and eventually the perception of pain. To test this mechanistic hypothesis, the investigators designed a sham-controlled and double-blind electroencephalography (EEG)-based neurofeedback study. In a short-term neurofeedback training protocol, healthy participants will learn to up- and downregulate somatosensory alpha oscillations using attention. Subsequently, the investigators will investigate how this manipulation impacts experimental pain applied during neurofeedback. Using Bayesian statistics and mediation analysis, the investigators will test whether alpha oscillations mediate attention effects on pain perception. This approach promises causal insights into the role of alpha oscillations in shaping pain, and thereby extends previous correlative evidence. Beyond, it can aid the development of novel, non-invasive modulatory treatment approaches for chronic pain, which are urgently needed.
The prosed study protocol has been granted in-principle acceptance from PLOS Biology and the corresponding registration can be found at the OSF online repository [www.osf.io/qbkj2].
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Notify Me18 year–45 year
All sexes
Interventional
Not applicable
Munich, Bavaria, 81675, Germany
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
In a first verum neurofeedback condition, participants will be instructed to focus attention on their right hand and the up-regulation of alpha oscillations in the right hemisphere relative to alpha oscillations in the left hemisphere will be incentivized through neurofeedback.
In a second verum neurofeedback condition, participants will be instructed to focus attention on their left hand and the down-regulation of right relative to left alpha oscillations will be incentivized.
During the first sham neurofeedback condition, participants will be instructed to focus attention on their right hand. However, the feedback signal will not mirror their brain activity. Instead, the feedback signal and the corresponding reward of the last matching verum condition completed by a previous participant, i.e., ARTNF for ARTsham, will be replayed (yoked feedback).
During the second sham neurofeedback condition, participants will be instructed to focus attention on their left hand. However, the feedback signal will not mirror their brain activity. Instead, the feedback signal and the corresponding reward of the last matching verum condition completed by a previous participant, i.e., ALTNF for ALTsham, will be replayed (yoked feedback).
Time frame: During procedure (neurofeedback)
During neurofeedback, brain activity will be recorded continuously and the AAI will be extracted. Subsequently, AAIs will be compared between neurofeedback conditions. Details regarding the complete analysis pipeline can be found at the OSF online repository [www.osf.io/qbkj2].
Time frame: During procedure (neurofeedback)
At the end of each neurofeedback trial, participants will verbally rate the perceived intensity of a cutaneous laser stimulus. Subsequently, pain ratings will be compared between neurofeedback conditions. Details regarding the complete analysis pipeline can be found at the OSF online repository [www.osf.io/qbkj2].
Time frame: During procedure (neurofeedback)
During neurofeedback, brain activity will be recorded continuously, and the pain-related brain responses will be extracted. Subsequently, pain-related brain responses will be compared between neurofeedback conditions. Details regarding the complete analysis pipeline can be found at the OSF online repository [www.osf.io/qbkj2].
Time frame: Before each session
The motivation to participate in the training will be assessed using a self-report measure.
Time frame: Before each session
General self-efficacy will be assessed using the German version of the General Self-efficacy Scale.
Time frame: Before each session
The health-related locus of control will be assessed using Multidimensional Health Locus of Control Scales.
Time frame: Before each session
The current positive or negative affect will be assessed using the Positive and Negative Affect Schedule.
Time frame: After each condition
The perceived task demand will be assessed using a self-report measure.
Time frame: After each condition
The effort exerted will be assessed using a self-report measure.
Technical University of Munich
Other
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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