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您的检索式：作者名="Chenwang Jin"
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| 1 | Meta-analysis of brain activation in depressive patients with emotional perception disorders显示文摘OBJECTIVE:To elucidate the distribution of abnormally activated brain regions in depressive patients during emotional perception processing using activation likelihood estimation,a quantitative meta-analytic technique.DATA SOURCES:Computer-based online retrieval was conducted using the PscyINFO,Pubmed and CNKI databases,searching literature from the establishment of each database until June 2010.STUDY SELECTION:Inclusion criteria:(1) studies examined emotion perception tasks using func-tional magnetic resonance imaging;(2) studies indicated regional brain activation abnormalities in depressive patients compared with controls in standard Talairach or MNI coordinates.Any analyzed coordinates based on the MNI system were converted to Talairach space with icbm2tal software.The map of activation likelihood estimation was finally created through the Gaussian smooth (full-width half-maximum=8 mm),permutation test and corrected for multiple comparisons using the false discovery rate method (q=0.05) with Ginger-ALE 2.0 software.MAIN OUTCOME MEASURES:Activation of brain regions in patients.RESULTS:Seventeen studies were identified,involving a total of 261 patients,273 healthy controls and 201 foci.Meta-analysis revealed a dysfunctional emotion regulation loop in depressive patients,comprised of the prefrontal cortex,the basal ganglia and the limbic lobe,in which the amygdala was a key component.During emotion processing,the left prefrontal cortex and basal ganglia were hy-poactive among depressive patients,whereas the opposite change was found in the limbic lobe.CONCLUSION:Abnormal connections among the prefrontal cortex,basal ganglia and limbic lobe may be involved in the pathophysiology of depressive disorder. | Chenwang Jin Ming Zhang Dan Li Shaohui Ma Yuan Wang Min Li Lihua Liu | 2011 | Neural Regeneration Research2011，6，31： | 1 |
| 2 | Early stage of radiological expertise modulates resting-state local coherence in the inferior temporal lobe显示文摘Background The visual system and its inherent functions undergo experience-dependent changes through the lifespan,enabling acquisition of new skills.Previous fMRI studies using tasks reported increased specialization in a number of cortical regions subserving visual expertise.Although ample studies focused on representation of long-term visual expertise in the brain,i.e.in terms of year,monthly-based early-stage representation of visual expertise remains unstudied.Given that spontaneous neuronal oscillations actively encode previous experience,we propose brain representations in the resting state is fundamentally important.Objective The current study aimed to investigate how monthly-based early-stage visual expertise are represented in the resting state using the expertise model of radiologists.Methods In particular,we investigated the altered local clustering pattern of spontaneous brain activity using regional homogeneity(ReHo).A cohort group of radiology interns(n=22)after one-month training in X-ray department and matched laypersons(n=22)were recruited after rigorous behavioral assessment.Results The results showed higher ReHo in the right hippocampus(HIP)and the right ventral anterior temporal lobe(vATL)(corrected by Alphasim correction,P<0.05).Moreover,ReHo in the right HIP correlated with the number of cases reviewed during intern radiologists’training(corrected by Alphasim correction,P<0.05).Conclusions In sum,our results demonstrated that the early stage of visual expertise is more concerned with stabilizing visual feature and domain-specific knowledge into long-term memory.The results provided novel evidence regarding how early-stage visual expertise is represented in the resting brain,which help further elaborate how human visual expertise is acquired.We propose that our current study may provide novel ideas for developing new training protocols in medical schools. | Minghao Dong Peiming Zhang Weilu Chai Xiaoyan Zhang Bihong TChen Hongmei Wang Jia Wu Chao Chen Yi Niu Jimin Liang Guangming Shi Chenwang Jin | 2022 | Psychoradiology2022，2，4： | 0 |
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