Cortical networks underlying successful control of nociceptive processing using real-time fMRI

Area of Science:

• Neuroscience
• Cognitive Science
• Medical Imaging

Background:

• Real-time fMRI (rt-fMRI) facilitates self-regulation of neural activity via neurofeedback.
• Previous studies demonstrate successful modulation of anterior cingulate cortex (ACC) and insula (Ins) activity during pain.
• Individual differences in self-regulation may relate to cognitive pain control, but brain network interactions remain unclear.

Purpose of the Study:

• To investigate the functional brain network interactions underlying successful up- and down-regulation of ACC and Ins activity using rt-fMRI neurofeedback.
• To explore the relationship between neural self-regulation capacity and subjective pain ratings.
• To assess the utility of frequency-domain connectivity analysis in rt-fMRI studies.

Main Methods:

• Utilized a connectivity analysis framework in the frequency domain to examine neural activity modulation in the ACC and Ins.
• Assessed subjective pain intensity and unpleasantness ratings.
• Employed real-time fMRI (rt-fMRI) neurofeedback for targeted brain region self-regulation.

Main Results:

• Successful up- and down-regulation of ACC and Ins activity was mediated by the ACC and its functional connectivity with the Ins and secondary somatosensory cortex.
• No significant correlation was found between the success of neural regulation and reported pain intensity or unpleasantness.
• Frequency domain connectivity analysis proved relevant for rt-fMRI.

Conclusions:

• Demonstrated functional interactions between brain areas involved in nociceptive processing during self-regulation of ACC and Ins activity.
• Highlighted the importance of frequency domain connectivity analysis for real-time fMRI.
• Suggests that while neural activity in pain-related regions can be modulated, subjective pain perception is complex and may not directly change, indicating pain is more than sensory processing.