Hi Andre,
I have done that many times at the Montreal Neurological Institute with
fMRIStat (the MNI software).
For example, in 1 experiment I had 6 runs per subject. So, I analyzed
each run separately first specifying all the contrasts and then combined
all 6 runs of each subject together at a second level of analysis. Mind
you, all the conditions/contrasts appeared in all the runs. Then
transformed those results into Talairach space before doing the group
analysis of all the subjects (I had 15 participants).
I hope this helps,
Katerina
****************************************************************
Dr. Ekaterini Klepousniotou
Lecturer in Cognitive Neuroscience & Neuropsychology
Institute of Psychological Sciences
University of Leeds
Leeds LS2 9JT
UK
Tel: +44 (0)113 3435716
Fax: +44 (0)113 3435749
-----Original Message-----
From: andre(a)ynic.york.ac.uk [mailto:andre@ynic.york.ac.uk]
Sent: 08 July 2008 13:46
To: ynic-users(a)ynic.york.ac.uk
Subject: Call for expertise: across session fMRI analyses
Dear Users,
Concatenation or higher level stats?
We would value the input of any users who have experience of 'combining'
fMRI data across multiple runs for more robust averaging.
The issue arises when trials of an experient are acquired in different
data blocks due to technical limitations of scan scquisition protocols
or
often to reduce the strain on participants in a single session.
I have searched many available resources. There are well documented
routines for (1) analysinng the sessions individually and then compring
them with a higher level analysis or (2) demeaning the two timeseries
and
combining them into a single one .. then following the standard analysis
individual subject routine.
Comments would be appreciated (especially from anyone has first hand
experience of doing this).
Thanks
Andre'
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