Putamen volume predicts real-time fMRI neurofeedback learning success across paradigms and neurofeedback target regions.

ABSTRACT: Real-time fMRI guided neurofeedback training has gained increasing interest as a noninvasive brain regulation technique with the potential to modulate functional brain alterations in therapeutic contexts. Individual variations in learning success and treatment response have been observed, yet the neural substrates underlying the learning of self-regulation remain unclear. Against this background, we explored potential brain structural predictors for learning success with pooled data from three real-time fMRI data sets. Our analysis revealed that gray matter volume of the right putamen could predict neurofeedback learning success across the three data sets (n = 66 in total). Importantly, the original studies employed different neurofeedback paradigms during which different brain regions wer

SUBMITTER: Zhao Z 

PROVIDER: S-EPMC7978128 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature