Author

Ruixiang Li

Doshisha UniversityORCID 0009-0001-7256-2550Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Organism:mouse· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Teppei MatsuiiD· 2 shared Aya ItoiD· 1 shared Koji JimuraiD· 1 shared Koki Masaoka· 1 shared Mika TakahashiiD· 1 shared Mizuki Kurosawa· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersNeuroscience

Teppei MatsuiORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 28, 2026

System identification and surrogate data analyses imply approximate Gaussianity and non-stationarity of resting-brain dynamics

Teppei Matsui, Ruixiang Li, Koki Masaoka, Koji Jimura

The paper analyzes resting-state fMRI data to determine its statistical properties, finding approximate Gaussianity and non-stationarity, which help distinguish real data from surrogates.

DOI 10.64898/2026.03.25.714361

imagingstatistical model

𝕏 PostBluesky

NeurosciencebioRxivPreprintDec 9, 2025

Structure-Function Coupling Aligns with a Unimodal-to-Transmodal Gradient in the Mouse Cortex

Ruixiang Li, Mika Takahashi, Mizuki Kurosawa…·Aya Ito

The paper maps structure-function coupling in the mouse cortex, finding a unimodal-to-transmodal gradient similar to humans, influenced by cellular properties but not anatomical hierarchy.

DOI 10.64898/2025.12.04.692468

mousespatial transcriptomics

𝕏 PostBluesky