Non invasive brain stimulation (NIBS) of the primary motor cortex (M1) through transcranial direct current stimulation (tDCS) has been widely investigated in research and clinical settings in order to modulate brain plasticity and improve clinical pain. Interestingly, newly developed paradigms i.e. tDCS of the resting state motor network have proved higher modulatory effects in terms of corticospinal excitability when compared to traditional M1 tDCS. However, little is known about the effects of tDCS on the frequency changes of alpha oscillations (alpha peaks). Interestingly, previous studies show a correlation between reduced frequencies of alpha peaks during 1-hour experimental pain in comparison to baseline. The present study aims to investigate the effects of tDCS of the resting state motor network on the frequency and power of alpha peaks during prolonged experimental pain during 24 hours.
There is evidence that chronic pain alters the frequency of alpha peaks. Specifically, recent studies showed a correlation between decreased frequency of alpha peaks and perceived pain. Furthermore, a correlation was found between high pain sensitivity and slower alpha oscillations during prolonged pain during 1 hour. To date, the effects of prolonged experimental pain during 24 hours on brain oscillations has not been explored. Moreover, it is unknown whether non invasive brain stimulation (NIBS) through transcranial direct current stimulation (tDCS) can revert these pain-related feature. It is hypothesized that prolonged pain during 24 hours will reduce the frequency of alpha peaks and tDCS of the resting state motor network will revert it to baseline values. Furthermore, it is thought that decreased frequency of alpha peaks will be correlated with perceived pain intensity on Day 1 (before receiving the first tDCS session).
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
TRIPLE
Enrollment
44
Transcranial direct current stimulation (tDCS) delivers a low intensity current of up to 4 mA per session through small and circular shaped electrodes applied over the scalp. This induces a weak but focal electrical field that may modify the excitability of the underlying cortical target in a polarity and activity dependent fashion.
Aalborg University
Aalborg, Nordylland, Denmark
Frequency of alpha peaks
The frequency of alpha peaks will be extracted through electroencephalography (EEG) in the sensorimotor areas (Central-Parietal) of the brain. It is hypothesized that the frequency of alpha peaks will be reduced due to prolonged pain. It is expected that tDCS of the resting state motor network will revert the frequency to baseline values or even higher.
Time frame: 24 hours
Perceived pain intensity
Perceived pain intensity will be rated in a 0-10 Numerical rating scale (NRS): 0 no pain and 10 worst pain imaginable. Prolonged pain will increase perceived pain intensity. It is expected that active tDCS will not be able to reduce perceived pain intensity in comparison to sham tDCS.
Time frame: 24 hours
Amplitude of alpha peak
Similar to the primary outcome, the amplitude of the alpha peak will be extracted through EEG in the sensorimotor area. It is expected that prolonged pain will be able to reduce the amplitude of alpha peaks and tDCS will increase it back to baseline values or even higher.
Time frame: 24 hours
Power of alpha oscillations
Spectral analysis will be performed on alpha activity and it is expected that this outcome will be reduced by prolonged pain and tDCS of the resting state motor network will be able to normalize it.
Time frame: 24 hours
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