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Dimitri Papadopoulos Orfanos edited this page Apr 3, 2017 · 17 revisions

We discuss software infrastructure of the Imagen project.

Recruitment and acquisition centres

The Imagen project is a longitudinal study with 4 time points so far:

ID Time point Age
BL baseline 14
FU1 follow up 1 16
FU2 follow up 2 19
FU3 follow up 3 22

The databank team collect, curate, and publish data from the following recruitment and acquisition centres:

ID CENTRE
01 LONDON
02 NOTTINGHAM
03 DUBLIN
04 BERLIN
05 HAMBURG
06 MANNHEIM
07 PARIS
08 DRESDEN

Documentation

Documentation inherited from the initial database team for baseline (BL) and follow up 1 (FU1) is available via SFTP on the Imagen database server.

fmri_current_v1.pdf Benjamin Thyreau 2010-09-24
fmri model setting and contrasts list
QCgenotypeBatch12-1.pdf Jean-Baptiste Poline 2010-10-18
This document describes the quality check on the SNP data ie which subjects were removed and why.
Database_handling_Berlin_workshop_slides.pdf Alexis Barbot 2010-11-03
Slides of the presentation done at Berlin workshop on Database Handling ( 28th of October 2010 )
processings_faq.pdf Benjamin Thyreau 2011-01-13
FAQ on imaging data processings
Gender_and_age_inclusion_schema.pdf Alexis Barbot 2011-03-08
Some explanations regarding age and gender, where does it come from and how can it be missing.
Genetic_qc_readme.txt Alexis Barbot 2011-07-28
Description of the various files from the genetic qc.
parzen_outlier_scores.txt Alexis Barbot 2012-04-10
Details about the fMRI Contrasts Parzen outlier scores
WP4_SOP_Annex_instruments_variable_names.pdf Maren Struve 2012-04-12
This is a document describing the instruments and their variable names It can also be found in millarium as WP4_SOP_Annex.doc
freesurfer_QC.rst Jean-Baptiste Poline 2012-04-25
A description of the freesurfer Quality Check data
check_estimable.py Jean-Baptiste Poline 2012-08-01
A python script to help finding the non estimable contrast.
R_check_estimable.rc Jean-Baptiste Poline 2012-08-01
An R extract to help finding the non estimable contrasts.
DTIpreprocessing.pdf Hervé Lemaître 2013-11-28
Processings details and authorships
IMAGEN_DATA_ACCESS_2015-10-08.pdf Dimitri Papadopoulos 2015-10-08
To access BL, FU1 and FU2 data, use the new Imagen V2 server. The legacy XNAT server will remain available to serve BL/FU1 data frozen in its 2011 state.
imagen_data.zip John Rogers 2017-02-14
original Imagen SPPS processing scripts for Psytools
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