Attention to Visual Motion fMRI data set

This dataset was collected by Christian Buchel and is described in the paper:

Buchel, C and K. Friston (1997). Modulation of Connectivity in Visual Pathways 
by Attention: Cortical Interactions Evaluated with Structural Equation 
Modelling and fMRI, Cerebral Cortex, December, 7, pp 768-778.

The archive contains the smoothed, spatially normalised, realigned, slice-time corrected images in the directory 'functional'. The directory 'structural' contains a spatially normalised structural image. All processing took place using SPM96. See above paper for further details.

Attention to Visual Motion fMRI dataset (NIfTI file format):
ZIP archive: attention.zip (79MB)

Psycho-Physiologic Interaction

Descriptions of how to do General Linear Model (GLM) and Psycho-Physiologic Interaction (PPI) analyses are available in the SPM manual:

Overview of the dataset, and step-by-step description of analysis using PPI:
SPM12: manual.pdf
SPM8: manual.pdf
PPI SPM batch script:
SPM5/8: ppi_spm_batch.m

An earlier version of the tutorial for SPM2 is available in README_GLM_PPI.txt (Note that you should then use the DCM archive). The dataset in Analyze file format is available in the archive attention_analyze.zip (79MB). The files obtained during the analysis can be obtained from downloading the archive glm_ppi_analysis.zip.

Dynamic Causal Modelling

Descriptions of how to do General Linear Model (GLM) and Dynamic Causal Modelling (DCM) analyses using SPM5/8 are available in the SPM manual:

Overview of the dataset, and step-by-step description of analysis using DCM:
SPM12: manual.pdf
SPM8: manual.pdf
DCM SPM batch script:
SPM8: dcm_spm8_batch.m

An earlier version of the tutorial for SPM2 is available in README_GLM_DCM.txt. The dataset in Analyze file format is available in the archive attention_analyze.zip (79MB). The files obtained during the analysis can be obtained from downloading the archive glm_dcm_analysis.zip.


Last modified $Date: 2014/07/28 15:36:44 $ by $Author: guillaume $

Valid XHTML 1.0! home | search | sitemap

Copyright 1991,1994-2014 FIL
The FIL Methods group <fil.spm@ucl.ac.uk>