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Real\u2010time functional magnetic resonance imaging (fMRI) neurofeedback (NFB) is emerging as a flexible brain circuit\u2010based tool for targeting AH via self\u2010modulation of brain activity. A better understanding of what baseline characteristics predict NFB success will enhance its clinical utility. Previous work suggests that AH symptomology implicates measures across multiple modalities, including T1 structural MRI (sMRI), diffusion\u2010weighted MRI (dMRI), and resting\u2010state fMRI (rsfMRI). Specifically, AH severity and treatment response are associated with thinner superior temporal gyrus (STG), thinner dorsolateral prefrontal cortex (DLPFC), reduced white matter integrity in tracts connecting brain regions implicated in SZ symptomatology, increased within\u2010default mode network (DMN) connectivity, and reduced DMN\u2013DLPFC anticorrelation. In this study, we tested the individual and combined contributions of multimodal brain features for the prediction of AH change after NFB in adults (\n                    <jats:italic>N<\/jats:italic>\n                    \u2009=\u200925, 36.1\u2009\u00b1\u200910.0 years, 24% females) with SZ spectrum disorders (SZ or schizoaffective disorder) and frequent medication\u2010resistant AH. Participants underwent a baseline MRI scan (including sMRI, dMRI, and rsfMRI) and were randomly assigned to receive NFB from their STG (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200912, real condition) or NFB from their motor cortex (MC) (\n                    <jats:italic>n<\/jats:italic>\n                    \u2009=\u200913, sham condition). NFB success was operationalized as the improvement in AH severity after NFB. We found that higher baseline AH severity, greater STG thickness, decreased dorsal cingulum integrity, increased within\u2010DMN resting\u2010state functional connectivity, and increased DMN\u2013DLPFC anticorrelation were each individually correlated with reduction in AH severity. However, in a combined regression model, DMN\u2013DLPFC connectivity emerged as the only independent variable that explained the unique variance in AH change. These results suggest that a specific rsfMRI measure, namely DMN\u2013DLPFC connectivity, may be a promising predictor of NFB success in reducing AH and support the precision medicine approach.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Trial Registration:<\/jats:bold>\n                    ClinicalTrials.gov identifier: NCT03504579\n                  <\/jats:p>","DOI":"10.1155\/da\/2848929","type":"journal-article","created":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T10:01:36Z","timestamp":1744106496000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Brain Structural and Functional Neuroimaging Features are Associated With Improved Auditory Hallucinations in Patients With Schizophrenia After Real\u2010Time fMRI Neurofeedback"],"prefix":"10.1155","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7520-074X","authenticated-orcid":false,"given":"Jiahe","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emma","family":"Tusuzian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0330-6131","authenticated-orcid":false,"given":"Francesca","family":"Morfini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3481-4438","authenticated-orcid":false,"given":"Clemens C. 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