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Tianzi Jiang

Researcher at Chinese Academy of Sciences

Publications -  578
Citations -  33264

Tianzi Jiang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Resting state fMRI & Functional magnetic resonance imaging. The author has an hindex of 79, co-authored 538 publications receiving 27731 citations. Previous affiliations of Tianzi Jiang include Lanzhou University & University of Electronic Science and Technology of China.

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Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI

TL;DR: A new marker of functional magnetic resonance imaging, amplitude of low-frequency fluctuation (ALFF) fluctuation, is used to investigate the baseline brain function of children with attention deficit hyperactivity disorder and suggests that the changed spontaneous neuronal activity of these regions may be implicated in the underlying pathophysiology in children with ADHD.
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Regional homogeneity approach to fMRI data analysis

TL;DR: ReHo can consider as a complementary method to model-driven method, and it could help reveal the complexity of the human brain function, in which KCC was used to measure the similarity of the time series of a given voxels to those of its nearest neighbors in a voxel-wise way.
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The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture

TL;DR: A connectivity-based parcellation framework is designed that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture and provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections.
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Disrupted small-world networks in schizophrenia.

TL;DR: It is demonstrated that the brain functional networks had efficient small-world properties in the healthy subjects; whereas these properties were disrupted in the patients with schizophrenia, consistent with a hypothesis of dysfunctional integration of the brain in this illness.
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HMDD v2.0: a database for experimentally supported human microRNA and disease associations

TL;DR: The Human microRNA Disease Database (HMDD) v2.0 update presented several novel options for users to facilitate exploration of the data in the database, and presented more data that were generated based on concepts derived from the miRNA–disease association data, including disease spectrum width of miRNAs and miRNA spectrumwidth of human diseases.