___ ____ __ __
/ __)( _ \( \/ )
\__ \ )___/ ) ( Statistical Parametric Mapping
(___/(__) (_/\/\_) SPM - https://www.fil.ion.ucl.ac.uk/spm/
This README gives a brief introduction to the SPM software. Full details can be foundon the SPM website.
See also Contents.m
, AUTHORS.txt
and LICENCE.txt
.
Statistical Parametric Mapping refers to the construction and assessment of spatiallyextended statistical process used to test hypotheses about functional imaging data.These ideas have been instantiated in software that is called SPM. The SPM softwarepackage has been designed for the analysis of brain imaging data sequences. Thesequences can be a series of images from different cohorts, or time-series from thesame subject. The current release is designed for the analysis of fMRI, PET, SPECT,EEG and MEG.
Please refer to this version as "SPM12" in papers and communications.
SPM was written to organise and interpret our data (at The Wellcome Centre for HumanNeuroimaging). The distributed version is the same as that we use ourselves.
SPM is made freely available to the [neuro]imaging community, to promotecollaboration and a common analysis scheme across laboratories.
The SPM software is a suite of MATLAB functions, scripts and data files, with someexternally compiled C routines, implementing Statistical Parametric Mapping. MATLAB,a commercial engineering mathematics package, is required to use SPM. MATLAB isproduced by MathWorks, Natick, MA, USA.
SPM requires only core MATLAB to run (no special toolboxes are required).
SPM12 is written for MATLAB version 7.4 (R2007a) onwards under Windows, Linux and Mac(SPM12 will not work with versions of MATLAB prior to 7.4). Binaries of the externalC-MEX routines are provided for Windows, Linux and Mac. The source code is suppliedand can be compiled with a C compiler (Makefile provided).
See https://www.fil.ion.ucl.ac.uk/spm/software/spm12/ for details.
Later versions of MATLAB (released after SPM12), will probably need additionalpatches in order to run. Once developed, these will be made available from:https://www.fil.ion.ucl.ac.uk/spm/download/spm12_updates/
Although SPM12 will read image files from previous versions of SPM, there aredifferences in the algorithms, templates and models used. Therefore, we recommendyou use a single SPM version for any given project.
The SPM12 Release Notes can be found online:https://www.fil.ion.ucl.ac.uk/spm/software/spm12/
SPM12 uses the NIFTI-1 data format as standard. Take a look athttps://nifti.nimh.nih.gov/ for more information on the NIFTI-1 file format.
The old SPM2 version of Analyze format can be read straight into SPM12, but resultswill be written out as NIFTI-1. If you still use this format, then it is importantthat you ensure that spm_flip_analyze_images
has been set appropriately for yourdata.
The MINC and ECAT7 formats can not be read straight into SPM12, although conversionutilities have been provided. Similarly, a number of DICOM flavours can also beconverted to NIFTI-1 using tools in SPM12.
The SPM website is the central repository for SPM resources:https://www.fil.ion.ucl.ac.uk/spm/
Introductory material, installation details, documentation, course details andpatches are published on the site.
There is an SPM email discussion list, hosted at spm@jiscmail.ac.uk. The list ismonitored by the authors, and discusses theoretical, methodological and practicalissues of Statistical Parametric Mapping and SPM. The SPM website has furtherdetails:https://www.fil.ion.ucl.ac.uk/spm/support/
Please report bugs to the authors at fil.spm@ucl.ac.uk.
Peculiarities may actually be features, and should be raised on the SPM emaildiscussion list, spm@jiscmail.ac.uk.
SPM is developed under the auspices of Functional Imaging Laboratory (FIL), TheWellcome Centre for Human NeuroImaging, in the Queen Square Institute of Neurology atUniversity College London (UCL), UK.
SPM94 was written primarily by Karl Friston in the first half of 1994, withassistance from John Ashburner (MRC-CU), Jon Heather (WDoIN), and Andrew Holmes(Department of Statistics, University of Glasgow). Subsequent development, under thedirection of Prof. Karl Friston at the Wellcome Department of Imaging Neuroscience,has benefited from substantial input (technical and theoretical) from: John Ashburner(WDoIN), Andrew Holmes (WDoIN & Robertson Centre for Biostatistics, University ofGlasgow, Scotland), Jean-Baptiste Poline (WDoIN & CEA/DRM/SHFJ, Orsay, France),Christian Buechel (WDoIN), Matthew Brett (MRC-CBU, Cambridge, England), Chloe Hutton(WDoIN) and Keith Worsley (Department of Statistics, McGill University, MontrealCanada).
See AUTHORS.txt
for a complete list of SPM co-authors.
We would like to thank everyone who has provided feedback on SPM.
SPM (being the collection of files given in the manifest in the Contents.m
file) isfree but copyright software, distributed under the terms of the GNU General PublicLicence as published by the Free Software Foundation (either version 2, as given infile LICENCE.txt
, or at your option, any later version). Further details on"copyleft" can be found at https://www.gnu.org/copyleft/. In particular, SPM issupplied as is. No formal support or maintenance is provided or implied.
Copyright (C) 1991,1994-2020 Wellcome Centre for Human Neuroimaging
$Id: README.md 7765 2020-01-02 16:29:48Z spm $
spm12预处理步骤及知识点总结 spm里session等于一个run,是一次连续的扫描,而不是被试从进去scanner到出来。一般从scanner拷出来的文件夹中,每一个文件夹里的dicom文件,代表一个被试一次run的结果。一个volume指的是一个TR内得到的所有slice组成的一个完整的3D大脑。 学会使用spm自带的命令:spm_vol :读取相应的img/nii文件的hdr文件信息(
官网: https://www.fil.ion.ucl.ac.uk/spm/ 下载: https://www.fil.ion.ucl.ac.uk/spm/software/download/ 安装说明: https://en.wikibooks.org/wiki/SPM#Installation windows安装说明: https://en.wikibooks.org/wiki/SPM/Inst
工具:Matlab,spm12,cat12 1)格式转换:dicom转换为nifti格式; 2)用cat12中segment进行分割,其中表层指标指标选Yes; 3)然后选用提取,将文件导入,提取sulcus depth;gryfication;fractal dimension; 4)重采样:Resapmle;smooth;层厚FHWM=15,其余指标FHWM=20. 5)统计分析:basic
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