rsHRF ：静息状态HRF反卷积和连通性分析工具箱（ MATLAB ）（高分项目）.zip

# rsHRF: A Toolbox for Resting State HRF Deconvolution and Connectivity Analysis (MATLAB) []() [](https://opensource.org/licenses/BSD-3-Clause) <br> <a href="https://github.com/compneuro-da/rsHRF"><img align="left" src="https://github.com/compneuro-da/rsHRF/raw/master/rsHRF_logo.png" alt="rsHRF" width="200"></a> ### MATLAB The current GitHub repository contains the MATLAB code for resting-state HRF estimation, deconvolution, visualization, and connectivity analysis, both for 1) the MATLAB Standalone as well as 2) the [SPM plugin](https://www.fil.ion.ucl.ac.uk/spm/ext/#rsHRF) ### Python For information concerning 1) the Python Standalone, along with 2) the BIDS-App through [Dockers](https://hub.docker.com/r/bids/rshrf/)/[brainlife](https://github.com/brainlife/app-rsHRF), head over to http://bids-apps.neuroimaging.io/rsHRF ## Getting Started - <a href="https://github.com/compneuro-da/rsHRF/blob/master/Overview_Usage.md">Overview and Usage</a> - Step-by-step instructions for resting-state HRF analysis are available in the [rsHRF Matlab Manual](https://github.com/compneuro-da/rsHRF/raw/master/rsHRF_manual_Matlab.pdf). - <a href="https://github.com/compneuro-da/rsHRF/blob/master/demo_jobs.zip">Demos</a> & <a href="https://github.com/compneuro-da/rsHRF/blob/master/demo_codes/rsHRF_tutorials.md"> Tutorials</a> - Demo videos: [install](https://www.bilibili.com/video/BV1A341127L4?spm_id_from=333.999.0.0), [3D volume analysis](https://www.bilibili.com/video/BV17Q4y1k7J6?spm_id_from=333.999.0.0), [2D surface analysis](https://www.bilibili.com/video/BV1z44y1b76m?spm_id_from=333.999.0.0), [HRF Visualization](https://www.bilibili.com/video/BV1134y1S7TD?spm_id_from=333.999.0.0). - [中文介绍](https://zhuanlan.zhihu.com/p/412029701) ## Collaborators * Guo-Rong Wu * Nigel Colenbier * Sofie Van Den Bossche * Daniele Marinazzo * Kenzo Clauw (BIDS) * Madhur Tandon (Python - BIDS) * Asier Erramuzpe (Python - BIDS) ## References: Guo-Rong Wu, Nigel Colenbier, Sofie Van Den Bossche, Kenzo Clauw, Amogh Johri, Madhur Tandon, Daniele Marinazzo. “rsHRF: A Toolbox for Resting-State HRF Estimation and Deconvolution.” Neuroimage, 2021, 244: 118591. DOI:[10.1016/j.neuroimage.2021.118591](https://doi.org/10.1016/j.neuroimage.2021.118591) Guo-Rong Wu, Wei Liao, Sebastiano Stramaglia, Ju-Rong Ding, Huafu Chen, Daniele Marinazzo. “A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data.” Medical Image Analysis 2013, 17:365-374. DOI:[10.1016/j.media.2013.01.003 1 comment on PubPeer (by: Daniele Marinazzo) 1 comment on PubPeer (by: Daniele Marinazzo) ](https://doi.org/10.1016/j.media.2013.01.003) If you think rsHRF is useful for your work, citing it in your paper would be greatly appreciated.