SA64. Hallucination Severity Predicted by Auditory Cortex Resting State Connectivity in Bipolar and Schizophrenia Network on Intermediate Phenotypes Study
Year: 2017
Type: conference-abstract
Abstract: Background: Previous functional imaging studies of auditory hallucinations in psychosis patients have demonstrated abnormal activation patterns in the primary auditory cortex; in order to investigate the mechanisms that predispose hallucinations, we examine if alterations in resting connectivity to auditory cortex predict hallucination severity in a large sample of psychosis patients. Methods: Whole brain resting state connectivity to primary and secondary auditory cortex defined as Brodmann Areas 22, 41, and 42 were evaluated for 392 psychosis subjects and 219 healthy controls. Subjects were recruited as part of the multisite Bipolar & Schizophrenia Network on Intermediate Phenotypes (BSNIP1) study. Univariate multiple regression analysis evaluated where brain resting state connectivity to the auditory cortex was a significant predictor of hallucination severity as measured by the hallucination item in the PANSS clinical rating scale. Results: Significant negative associations were found in right orbitofrontal cortex and right cerebellum. A significant negative association was also found in left middle temporal cortex. Positive mean connectivity was found in these areas for both psychosis and healthy subjects. Conclusion: Our findings suggest that increased connectivity of auditory cortex with upstream language and auditory processing areas coupled with reduced connectivity in frontal top-down control areas are associated with increased hallucination severity. Furthermore, the results demonstrate a possible common pathway across psychotic disorders of hallucination propensity that is related to connectivity dysfunction of the auditory cortex.
Source: Schizophrenia Bulletin
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2599628140
