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1.  Developmental Differences in the Influence of Phonological Similarity on Spoken Word Processing in Mandarin Chinese 
Brain and language  2014;138:38-50.
The developmental trajectory of spoken word recognition has been well established in Indo-European languages, but to date remains poorly characterized in Mandarin Chinese. In this study, typically developing children (N = 17; mean age 10;5) and adults (N = 17; mean age 24) performed a picture-word matching task in Mandarin while we recorded ERPs. Mismatches diverged from expectations in different components of the Mandarin syllable; namely, word-initial phonemes, word-final phonemes, and tone. By comparing responses to different mismatch types, we uncovered evidence suggesting that both children and adults process words incrementally. However, we also observed key developmental differences in how subjects treated onset and rime mismatches. This was taken as evidence for a stronger influence of top-down processing on spoken word recognition in adults compared to children. This work therefore offers an important developmental component to theories of Mandarin spoken word recognition.
doi:10.1016/j.bandl.2014.09.002
PMCID: PMC4252245  PMID: 25278419
spoken word recognition; Mandarin Chinese; incremental processing; top-down processing; development; lexical competition; ERPs
2.  A preliminary quantitative proteomic analysis of glioblastoma pseudoprogression 
Proteome Science  2015;13:12.
Backgrounds
Pseudoprogression disease (PsPD) is commonly observed during glioblastoma (GBM) follow-up after adjuvant therapy. Because it is difficult to differentiate PsPD from true early progression of GBM, we have used a quantitative proteomics strategy to identify molecular signatures and develop predictive markers of PsPD.
Results
An initial screening of three PsPD and three GBM patients was performed, and from which 530 proteins with significant fold changes were identified. By conducting biological functional analysis of these proteins, we found evidence that the protein synthesis network and the cellular growth and proliferation network were most significantly affected. Moreover, six of the proteins (HNRNPK, ELAVL1, CDH2, FBLN1, CALU and FGB) involved in the two networks were validated (n = 18) in the same six samples and in twelve additional samples using immunohistochemistry methods and the western blot analysis. The receiver operating characteristic (ROC) curve analysis in distinguishing PsPD patients from GBM patients yielded an area under curve (AUC) value of 0.90 (95% confidence interval (CI), 0.662-0.9880) for CDH2 and.0.92 (95% CI, 0.696-0.995) for CDH2 combined with ELAVL1.
Conclusions
The results of the present study both revealed the biological signatures of PsPD from a proteomics perspective and indicated that CDH2 alone or combined with ELAVL1 could be potential biomarkers with high accuracy in the diagnosis of PsPD.
Electronic supplementary material
The online version of this article (doi:10.1186/s12953-015-0066-5) contains supplementary material, which is available to authorized users.
doi:10.1186/s12953-015-0066-5
PMCID: PMC4393599  PMID: 25866482
iTRAQ labeling; Pseudoprogression; Quantitative proteomics

Results 1-2 (2)