| Literature DB >> 25568120 |
Alan Anticevic1, Xinyu Hu2, Yuan Xiao2, Junmei Hu3, Fei Li2, Feng Bi3, Michael W Cole4, Aleksandar Savic5, Genevieve J Yang6, Grega Repovs7, John D Murray8, Xiao-Jing Wang8, Xiaoqi Huang2, Su Lui2, John H Krystal9, Qiyong Gong10.
Abstract
Strong evidence implicates prefrontal cortex (PFC) as a major source of functional impairment in severe mental illness such as schizophrenia. Numerous schizophrenia studies report deficits in PFC structure, activation, and functional connectivity in patients with chronic illness, suggesting that deficient PFC functional connectivity occurs in this disorder. However, the PFC functional connectivity patterns during illness onset and its longitudinal progression remain uncharacterized. Emerging evidence suggests that early-course schizophrenia involves increased PFC glutamate, which might elevate PFC functional connectivity. To test this hypothesis, we examined 129 non-medicated, human subjects diagnosed with early-course schizophrenia and 106 matched healthy human subjects using both whole-brain data-driven and hypothesis-driven PFC analyses of resting-state fMRI. We identified increased PFC connectivity in early-course patients, predictive of symptoms and diagnostic classification, but less evidence for "hypoconnectivity." At the whole-brain level, we observed "hyperconnectivity" around areas centered on the default system, with modest overlap with PFC-specific effects. The PFC hyperconnectivity normalized for a subset of the sample followed longitudinally (n = 25), which also predicted immediate symptom improvement. Biologically informed computational modeling implicates altered overall connection strength in schizophrenia. The initial hyperconnectivity, which may decrease longitudinally, could have prognostic and therapeutic implications.Entities:
Keywords: computational modeling; first episode; hyperconnectivity; longitudinal; prefrontal cortex; schizophrenia
Mesh:
Year: 2015 PMID: 25568120 PMCID: PMC4287147 DOI: 10.1523/JNEUROSCI.2310-14.2015
Source DB: PubMed Journal: J Neurosci ISSN: 0270-6474 Impact factor: 6.167