| Literature DB >> 28224285 |
Baojuan Li1, Long-Biao Cui2, Yi-Bin Xi2, Karl J Friston3, Fan Guo2, Hua-Ning Wang4, Lin-Chuan Zhang1, Yuan-Han Bai4, Qing-Rong Tan4, Hong Yin5, Hongbing Lu6.
Abstract
Information flow among auditory and language processing-related regions implicated in the pathophysiology of auditory verbal hallucinations (AVHs) in schizophrenia (SZ) remains unclear. In this study, we used stochastic dynamic causal modeling (sDCM) to quantify connections among the left dorsolateral prefrontal cortex (inner speech monitoring), auditory cortex (auditory processing), hippocampus (memory retrieval), thalamus (information filtering), and Broca's area (language production) in 17 first-episode drug-naïve SZ patients with AVHs, 15 without AVHs, and 19 healthy controls using resting-state functional magnetic resonance imaging. Finally, we performed receiver operating characteristic (ROC) analysis and correlation analysis between image measures and symptoms. sDCM revealed an increased sensitivity of auditory cortex to its thalamic afferents and a decrease in hippocampal sensitivity to auditory inputs in SZ patients with AVHs. The area under the ROC curve showed the diagnostic value of these two connections to distinguish SZ patients with AVHs from those without AVHs. Furthermore, we found a positive correlation between the strength of the connectivity from Broca's area to the auditory cortex and the severity of AVHs. These findings demonstrate, for the first time, augmented AVH-specific excitatory afferents from the thalamus to the auditory cortex in SZ patients, resulting in auditory perception without external auditory stimuli. Our results provide insights into the neural mechanisms underlying AVHs in SZ. This thalamic-auditory cortical-hippocampal dysconnectivity may also serve as a diagnostic biomarker of AVHs in SZ and a therapeutic target based on direct in vivo evidence.Entities:
Keywords: Auditory verbal hallucinations; Effective connectivity; Schizophrenia; Stochastic dynamic causal modeling
Mesh:
Year: 2017 PMID: 28224285 PMCID: PMC5567513 DOI: 10.1007/s12264-017-0101-x
Source DB: PubMed Journal: Neurosci Bull ISSN: 1995-8218 Impact factor: 5.203