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

brain connectivity coherence analysis fMRI nociceptive processing regulation of neural activity

Journal

Frontiers in pain research (Lausanne, Switzerland)
ISSN: 2673-561X
Titre abrégé: Front Pain Res (Lausanne)
Pays: Switzerland
ID NLM: 9918227269806676

Informations de publication

Date de publication:
2022
Historique:
received: 15 06 2022
accepted: 26 09 2022
entrez: 10 11 2022
pubmed: 11 11 2022
medline: 11 11 2022
Statut: epublish

Résumé

Real-time fMRI (rt-fMRI) enables self-regulation of neural activity in localized brain regions through neurofeedback. Previous studies showed successful up- and down-regulation of neural activity in the anterior cingulate cortex (ACC) and the insula (Ins) during nociceptive stimulation. Such self-regulation capacity is, however, variable across subjects, possibly related to the ability of cognitive top-down control of pain. Moreover, how specific brain areas interact to enable successful regulation of nociceptive processing and neurofeedback-based brain modulation is not well understood. A connectivity analysis framework in the frequency domain was used to examine the up- or down-regulation in the ACC and Ins and pain intensity and unpleasantness ratings were assessed. We found that successful up- and down-regulation was mediated by the ACC and by its functional connectivity with the Ins and secondary somatosensory cortex. There was no significant relationship between successful up- or downregulation and pain ratings. These findings demonstrate functional interactions between brain areas involved in nociceptive processing during regulation of ACC and Ins activity, and the relevance of the frequency domain connectivity analysis for real-time fMRI. Moreover, despite successful neural regulation, there was no change in pain ratings, suggesting that pain is a complex perception, which may be more difficult to modify than other sensory or emotional processes.

Identifiants

pubmed: 36353700
doi: 10.3389/fpain.2022.969867
pmc: PMC9637825
doi:

Types de publication

Journal Article

Langues

eng

Pagination

969867

Informations de copyright

© 2022 Bucolo, Rance, Nees, Ruttorf, Stella, Monarca, Andoh and Flor.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Maide Bucolo (M)

Department of Electrical Electronic and Computer Engineering, University of Catania, Catania, Italy.

Mariela Rance (M)

Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Frauke Nees (F)

Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Institute of Medical Psychology and Sociology, University Medical Center Schleswig-Holstein, Kiel, Germany.

Michaela Ruttorf (M)

Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Giovanna Stella (G)

Department of Electrical Electronic and Computer Engineering, University of Catania, Catania, Italy.

Nicolò Monarca (N)

Department of Electrical Electronic and Computer Engineering, University of Catania, Catania, Italy.

Jamila Andoh (J)

Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Herta Flor (H)

Department of Electrical Electronic and Computer Engineering, University of Catania, Catania, Italy.
Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Classifications MeSH