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Xi-Nian Zuo

Researcher at Chinese Academy of Sciences

Publications -  210
Citations -  30340

Xi-Nian Zuo is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Resting state fMRI & Default mode network. The author has an hindex of 62, co-authored 194 publications receiving 23229 citations. Previous affiliations of Xi-Nian Zuo include Max Planck Society & Allen Institute for Brain Science.

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Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability

TL;DR: The utility of gradient-based iFC approaches for studying inter-individual variation in brain function is illustrated, as 10-min R-fMRI scans were sufficient to achieve high accuracies in efforts to “fingerprint” individuals based upon full-brain transition profiles.
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Hemispheric asymmetry in cognitive division of anterior cingulate cortex: A resting-state functional connectivity study

TL;DR: FMRI results highlight the presence of clear asymmetries in functional networks associated with ACC-cd in the right hemisphere than the left, regardless of whether the connection was positive or negative.
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Eyes-Open/Eyes-Closed Dataset Sharing for Reproducibility Evaluation of Resting State fMRI Data Analysis Methods

TL;DR: It is demonstrated that reproducible patterns of EO-EC differences can be detected by all three measures, suggesting the feasibility of the EO/EC dataset for performing reproducibility assessment for other rs-fMRI measures.
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Shifting gradients of macroscale cortical organization mark the transition from childhood to adolescence.

TL;DR: In this paper, the authors demonstrate that the transition from childhood to adolescence is reflected in the gradual maturation of gradient patterns across the cortical sheet, showing that the overarching organizational gradient is anchored within the unimodal cortex, between somatosensory/motor and visual territories.
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Concordance among indices of intrinsic brain function: Insights from inter-individual variation and temporal dynamics

TL;DR: The present work provided a comprehensive examination of inter-individual variation and intra-individual temporal variation for commonly used measures, including fractional amplitude of low frequency fluctuations, regional homogeneity, voxel-mirrored homotopic connectivity, network centrality and global signal correlation.