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Whole-brain mechanism of neurofeedback therapy: predictive modeling of neurofeedback outcomes on repetitive negative thinking in depression. | LitMetric

AI Article Synopsis

  • Real-time fMRI neurofeedback (rtfMRI-NF) shows promise as a treatment for psychiatric disorders, but its effectiveness and underlying mechanisms are still not fully understood.
  • A study involving 43 depressed individuals found that those receiving active neurofeedback training had a significant reduction in brooding rumination compared to a sham group, indicating the potential benefits of rtfMRI-NF.
  • The study highlights that the interaction between brain activity during regulation and responses to feedback is crucial for treatment outcomes, suggesting a need to consider the entire brain's connectivity to better understand and utilize rtfMRI-NF in therapy.

Article Abstract

Real-time fMRI neurofeedback (rtfMRI-NF) has emerged as a promising intervention for psychiatric disorders, yet its clinical efficacy remains underexplored due to an incomplete mechanistic understanding. This study aimed to delineate the whole-brain mechanisms underpinning the effects of rtfMRI-NF on repetitive negative thinking in depression. In a double-blind randomized controlled trial, forty-three depressed individuals underwent NF training targeting the functional connectivity (FC) between the posterior cingulate cortex and the right temporoparietal junction, linked to rumination severity. Participants were randomly assigned to active or sham groups, with the sham group receiving synthesized feedback mimicking real NF signal patterns. The active group demonstrated a significant reduction in brooding rumination scores (d = -1.52, p < 0.001), whereas the sham group did not (d = -0.23, p = 0.503). While the target FC did not show discernible training effects or group differences, connectome-based predictive modeling (CPM) analysis revealed that the interaction between brain activity during regulation and brain response to the feedback signal was the critical factor in explaining treatment outcomes. The model incorporating this interaction successfully predicted rumination changes across both groups. The FCs significantly contributing to the prediction were distributed across brain regions, notably the frontal control, salience network, and subcortical reward processing areas. These results underscore the importance of considering the interplay between brain regulation activities and brain response to the feedback signal in understanding the therapeutic mechanisms of rtfMRI-NF. The study affirms rtfMRI-NF's potential as a therapeutic intervention for repetitive negative thinking and highlights the need for a nuanced understanding of the whole-brain mechanisms contributing to its efficacy.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371824PMC
http://dx.doi.org/10.1038/s41398-024-03066-9DOI Listing

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