Current studies have shown that perception of subject's own name (SON) involves multiple multimodal brain regions, while activities in unimodal sensory regions (i.e., primary auditory cortex) and their interaction with multimodal regions during the self‐processing remain unclear. To answer this, we combined multivariate pattern analysis and dynamic causal modelling analysis to explore the regional activation pattern and inter‐region effective connection during the perception of SON. We found that SON and other names could be decoded from the activation pattern in the primary auditory cortex. In addition, we found an excitatory effect of SON on connections from the anterior insula/inferior frontal gyrus to the primary auditory cortex, and to the temporoparietal junction. Our findings extended the current knowledge of self‐processing by showing that primary auditory cortex could discriminate SON from other names. Furthermore, our findings highlighted the importance of influence of the insula on the primary auditory cortex during self‐processing.
Current studies have shown that perception of one's own name involves multiple multimodal brain regions, while activities in unimodal sensory regions (i.e., primary auditory cortex) and their interaction with multimodal regions during self-processing remain unclear. To answer this, we combined multivariate pattern analysis and dynamic causal modelling analysis to explore the regional activation pattern and inter-region effective connection during self-name processing. We found that subject's own name and other names could be decoded from the activation pattern in the primary auditory cortex. In addition, we found an excitatory effect of SON on connections from the anterior insula/inferior frontal gyrus to the primary auditory cortex, and to the temporal parietal junction. Our findings extended the current knowledge of self-processing by showing that primary sensory cortex could discriminate one's own name from other names. Furthermore, our findings highlighted the importance of influence of the insula on the primary auditory cortex during self-processing.
Person names, which hold within them extensive meaning, such as gender and cultural information, play an essential role in our social interaction. The intentional memory advantage of person names has been proved, but whether the automatic memory advantage of them exists remains unclear. In order to explore this question, we used a paradigm called attribute amnesia that allows us to test the automatic memory of person names in a working memory task. In Experiment 1, we adopted a classic attribute amnesia paradigm including 11 pre-surprise trials requiring participants to report the location of the target (person names or animal names) among three distractors and one surprise trial requiring them to unexpectedly report the identity of the target. The results showed that the identity report accuracy of person names in the surprise test was significantly better than that of animal names that served as a control group. Experiment 2 replicated Experiment 1 but increased the number of pre-surprise trials that could reduce the report accuracy of surprise test according to previous studies. The results revealed that the accuracy of the surprise test of person names decreased significantly, and showed no significant difference from that of animal names. These results suggest that there exists an automatic memory advantage of person names in working memory; however, such an automatic memory advantage effect could be reduced after participants learn to stop automatically encoding the attended but no-need-to-report person names through experiencing sufficient trials.
BackgroundUsing task-dependent neuroimaging techniques, recent studies discovered a fraction of patients with disorders of consciousness (DOC) who had no command-following behaviors but showed a clear sign of awareness, which was defined as cognitive motor dissociation (CMD). Although many efforts were made to identify the CMD, existing task-dependent approaches might fail when patients had multiple cognitive function (e.g., attention, memory) impairments, and thus lead to false-negative findings. However, recent advances in resting-state fMRI (rs-fMRI) analysis allow investigation of the dynamic change of spontaneous brain activity, which might be a powerful tool to test the patient’s cognitive functions, while its capacity in identifying CMD was unclear.MethodsThe rs-fMRI study included 119 participants from three independent research sites. A sliding-window approach was used to investigate the dynamic functional connectivity of the brain in two aspects: the global and regional temporal stability, which measures how stable the brain functional architecture is across time. The temporal stability was compared in the first dataset (36/16 DOC/controls), and then a Support Vector Machine (SVM) classifier was built to discriminate DOC patients from controls. Furthermore, the generalizability of the SVM classifier was tested in the second independent dataset (35/21 DOC/controls). Finally, the SVM classifier was applied to the third independent dataset where patients underwent an rs-fMRI and brain-computer interface assessment (4/7 CMD/potential non-CMD), to test its performance in identifying CMD.ResultsOur results showed that the global and regional temporal stability were impaired in DOC patients, especially in regions from the cingulo-opercular task control, default mode, fronto-parietal task control, and salience network. Using the temporal stability as features, the SVM model not only showed a good performance in the first dataset (accuracy = 90 %), but a good generalizability in the second dataset (accuracy = 82 %). Most importantly, the SVM model generalized well in identifying CMD in the third dataset (accuracy = 91 %).ConclusionThe current findings suggested that rs-fMRI could be a potential tool to assist in diagnosing CMD. Furthermore, the temporal stability investigated in this study also contributed to a deeper understanding of the neural mechanism of the consciousness.
In order to research the variation mechanism of blade thickness, analysis the influent of plant canopy-air temperature difference on the blade thickness, we developed the plant blade surface temperature measuring instrument at first , and then researched the correlation between plant canopy-air temperature difference and blade thickness of Chilies and peanuts at different stages. The Experimental results showed that this instrument met the design requirements, and can realize the accurate measurement of leaf surface temperature; meanwhile the blade thickness was in significant positive correlation with canopy-air temperature difference at every stage of the Chilies and peanuts. The result can provide the theoretical and practical basis for monitoring water status, implementing agriculture automation irrigation based on the blade thickness.
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