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Prior task-based fMRI studies have identified reduced functional connectivity within auditory and associated cortical areas. In this study, we investigated task-evoked functional connectivity and brain state dynamics in 25 healthy controls, 23 patients with schizophrenia experiencing auditory verbal hallucinations (AVH+), and 23 patients without hallucinations (AVH-). Participants completed multiple auditory paradigms, including word lists, sentence lists, and reverse speech. The most robust connectivity differences emerged during the word list task, where cluster-level analyses revealed distinct network interaction patterns differentiating controls, AVH\u2009+\u2009, and AVH-patients. Energy landscape modeling further demonstrated altered stability and organization of brain states in both patient groups, with the largest deviations observed in AVH+ individuals. These alterations point to dysregulated neural dynamics linked to hallucination vulnerability. Overall, the results show that task-based fMRI sensitively captures disruptions in functional connectivity and brain state stability relevant to auditory hallucinations, underscoring its value for characterizing network-level mechanisms underlying perceptual disturbances in schizophrenia.<\/jats:p>","DOI":"10.1371\/journal.pone.0339756","type":"journal-article","created":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T17:50:25Z","timestamp":1791481825000},"page":"e0339756","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Energy landscape and dynamic state modeling for schizophrenia biomarker extraction in task-based fMRI"],"prefix":"10.1371","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0246-9235","authenticated-orcid":true,"given":"Janerra D.","family":"Allen","sequence":"first","affiliation":[{"name":"Johns Hopkins University Applied Physics Lab","place":["Laurel, Maryland, 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