Titlebook: Brain Informatics; 12th International C Peipeng Liang,Vinod Goel,Chunlei Shan Conference proceedings 2019 Springer Nature Switzerland AG 20

淡紫色花

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Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspectivelast decade have opened up possibilities for advanced analysis of neuroimaging data. Using those computing tools Neuroscientists now can identify Neurodegenerative diseases from neuroimaging data. Due to the similarities in disease phenotypes, accurate detection of such disorders from neuroimaging d

带来墨水

无思维能力

Time Recognition of Chinese Electronic Medical Record of Depression Based on Conditional Random Fielmaking. In this paper, time expressions in Chinese electronic medical record text of depression are studied. The method combines regular expressions with Conditional random fields (CRFs) to recognize time expressions in Chinese electronic medical records. The test data are realistic electronic medic

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恩惠

Route Adjustment of Functional Brain Network in Mental Arithmetic Using Task-Evoked FMRIls of two adopted indicators on altered functional brain network by comparing the adjusted route between the two endpoints of the adjusted route were given and used as clues for the better understanding of the cognitive pattern of mental arithmetic. In this paper, the average number of adjusted rout

CROW

Study on the Connectivity of Language Network in Word Reading and Object Recognition Based on tfMRIbrain language network are strongly affected by the task modality. The task of written words reading, compared with other tasks, gets more language network nodes involved and thus the strongest structural connectivity will be activated and the highest information exchange efficiency will be achieved

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Dynamic Functional Connectivity in the Musical Brainom two groups of participants, 18 musicians and 18 non-musicians, while they listened to a musical stimulus in a naturalistic setting. We utilize spatial Group Independent Component Analysis (ICA), sliding time window correlations, and a deterministic agglomerative clustering of windowed correlation

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The Changes of Brain Networks Topology in Graph Theory of rt-fMRI Emotion Self-regulation Trainingth the EG and the CG have small-world topology, there are differences in small-world topology with emotion self-regulation training. Additionally, local efficiency is significantly different under certain sparsity, which suggests that emotional regulation has a positive effect on local networks. How