This means that time-series approaches must be used with these data, which complicates the maths. Gaussian field theory results are available for SPMs of minimum T- (or F-) statistics and therefore corrected p-values can be computed. Example 3: single-subject fMRI event-related design (F-contrasts) As a third and more sophisticated example, consider the data from a repetition priming experiment performed using event-related fMRI. Again, details regarding the data set can be found in the README.txt. The general linear model allows you to phrase an analysis of variance with condition or group effects in terms of a multiple regression. There are thus four event-types of interest, (first and second presentations of famous and non-famous faces, ordered in the design matrix N1-N2-F1-F2), each modelled with a canonical HRF and its temporal derivative.
The README.txt file has been updated. 23-Sep-2010 Added Pulsed ASL(PASL) example dataset with corresponding pre-set scripts.(51MB). Changed the name of CASL example dataset from «ASL_Example_data.zip» to «CASL_Example_data.zip» 18-Sep-2010 Added the first version of the ASL toolbox Manual. Select (enter a title): Specify (yes): Select a height/amplitude threshold to examine results that are either corrected for multiple comparisons (‘yes’), or uncorrected (‘no’) at a voxel-level. For example, the first column in the design matrix above varies from one to six. In the SPM display for this design matrix, for the first column, ones will be shown as black, sixes as white, and the rest as intermediate greys.
Our example SPM analysis is a simple regression. Revisions are proposed to Section 7.0 to clarify language and streamline the process for posting and balloting Interpretations. Processing ASL data in batch mode Please refer to the manual and the readme file included in the zip file for an overview of the whole processing steps, especially for setting the environment variables, parameters, and options for processing a whole dataset. Manual has been partly revised with corrections to the instructions and typos. These are modelled with the canonical hrf alone, with two parametric (exponential) modulations added for second presentations of non-famous and famous faces. The new VVs are therefore ratios of the value for this voxel to the overall average VV for the scan, where this average is calculated across all the voxels in the brain.