| Literature DB >> 27445261 |
Tao Li1,2, Qiang Wang1,2, Jie Zhang3,4, Edmund T Rolls5,6, Wei Yang7, Lena Palaniyappan8,9, Lu Zhang7, Wei Cheng3, Ye Yao3, Zhaowen Liu3,10, Xiaohong Gong11, Qiang Luo3,11, Yanqing Tang12, Timothy J Crow13, Matthew R Broome14,15,16, Ke Xu12, Chunbo Li17, Jijun Wang17, Zhening Liu18, Guangming Lu4, Fei Wang12, Jianfeng Feng3,6,7,19.
Abstract
Published reports of functional abnormalities in schizophrenia remain divergent due to lack of staging point-of-view and whole-brain analysis. To identify key functional-connectivity differences of first-episode (FE) and chronic patients from controls using resting-state functional MRI, and determine changes that are specifically associated with disease onset, a clinical staging model is adopted. We analyze functional-connectivity differences in prodromal, FE (mostly drug naïve), and chronic patients from their matched controls from 6 independent datasets involving a total of 789 participants (343 patients). Brain-wide functional-connectivity analysis was performed in different datasets and the results from the datasets of the same stage were then integrated by meta-analysis, with Bonferroni correction for multiple comparisons. Prodromal patients differed from controls in their pattern of functional-connectivity involving the inferior frontal gyri (Broca's area). In FE patients, 90% of the functional-connectivity changes involved the frontal lobes, mostly the inferior frontal gyrus including Broca's area, and these changes were correlated with delusions/blunted affect. For chronic patients, functional-connectivity differences extended to wider areas of the brain, including reduced thalamo-frontal connectivity, and increased thalamo-temporal and thalamo-sensorimoter connectivity that were correlated with the positive, negative, and general symptoms, respectively. Thalamic changes became prominent at the chronic stage. These results provide evidence for distinct patterns of functional-dysconnectivity across FE and chronic stages of schizophrenia. Importantly, abnormalities in the frontal language networks appear early, at the time of disease onset. The identification of stage-specific pathological processes may help to understand the disease course of schizophrenia and identify neurobiological markers crucial for early diagnosis.Entities:
Keywords: Broca’s area; clinical staging model; resting-state fMRI; thalamus; whole brain functional-connectivity analysis
Mesh:
Year: 2017 PMID: 27445261 PMCID: PMC5605268 DOI: 10.1093/schbul/sbw099
Source DB: PubMed Journal: Schizophr Bull ISSN: 0586-7614 Impact factor: 9.306