Print

Print


Hi Darren,

Yes, you are absolutely right - if this is the network structure, you 
would indeed expect that the MAP estimates for the intrinsic 
connections S1<->S2, S1->T1 and S2->T2 are zero.
Melinda, is this how your connectivity structure looks like?

All the best
Klaas


At 00:15 19/06/2007, Darren G wrote:
>Dear Melina
>
>I wonder about the structure of your DCM.  I assume you have 
>driving, intrinsic and possibly
>modulatory connections. From your description below you say the 
>DCM.A matrix values corresponding
>to the sustained -> transient connections are 0, but I wonder if the 
>DCM.A values for the transient
>network connections are 0. My guess is they are not.
>
>I am probably wrong but here is my suggestion: I wonder if you have 
>a situation in which you do not
>actually propagate or connect your driving inputs into your 
>sustained network? As an example, see
>below (I am ignoring modulatory inputs if any) T means a node in the 
>transient network  and S in
>the  sustained network.
>
>
>   INPUT -->  T1  <- S1
>                     |         ^
>                     |          |
>                     v         v
>                    T2  <- S2
>
>In this case the driving input enters at T1 which is connected to 
>T2, but S1 and S2 never see this
>input since their connections are only backwards. I would expect 
>DCM.A(T1 > T2) to have some value,
>but DCM.A(S1 > T1), DCM.A(S2 > T2) and DCM.A (S1 <> S2) would have 
>values of 0.
>
>As I said this may be incorrect and Klaas will correct me if this 
>would not be expected, but I hope
>this helps.
>
>Darren
>
>==============Original message text===============
>On Mon, 18 Jun 2007 5:15:50 pm CDT Melina Uncapher wrote:
>
>Hi Klaas,
>
>Thanks for your reply. Unfortunately, I'd already checked all those points
>and none appeared to be the culprit. The estimation appears normal, with
>~10-12 steps, no error messages, manual specification, all data were in
>their appropriate spots in the matrices, etc. Even changing the precision of
>the printed values made no difference to the values. In fact, if I remove
>other connections the values are estimated fine. Has this been encountered
>in SPM5?
>
>Thanks,
>~Melina
>
>*****************************************
>Melina R. Uncapher, Ph.D.
>Functional NeuroImaging of Memory Group
>Center for the Neurobiology of Learning and Memory
>Department of Neurobiology and Behavior
>University of California at Irvine
>http:[log in to unmask]
>
>-----Original Message-----
>From: SPM (Statistical Parametric Mapping) [mailto:[log in to unmask]] On
>Behalf Of Klaas Enno Stephan
>Sent: Monday, June 18, 2007 2:35 PM
>To: [log in to unmask]
>Subject: Re: [SPM] DCM parameter estimation problem
>
>Dear Melina,
>
>This sounds odd, and I am not sure what the problem could be.  Here
>are a few things that you may wish to check (unless you have already done
>so):
>
>1. How many steps does the estimation take? Does it converge after a
>single step? If so, have you double checked that you specified the
>driving inputs correctly? Also, do you get any warnings or errors
>messages during estimation?
>2.  Are you sure that the values in DCM.A are really zero, or not
>just close to zero?  You can check this by printing the values at
>higher precision, using something like the sprintf command in Matlab.
>3. Did you manually specify the DCM that you are trying to estimate,
>or was it created algorithmically?  If the latter, have you double
>checked whether anything went wrong in transferring the timeseries,
>i.e. does DCM.xY.u look like it contains your time series?
>
>This is all I can think of at the moment.  You may also want to try
>estimating the model with the code in SPM 5.  Generally, I would
>always recommend to use SPM 5 for DCM.  The code is much more robust
>than in SPM 2.
>
>Best wishes,
>Klaas
>
>
>
>At 18:57 13/06/2007, you wrote:
> >Hi Klaas,
> >
> >I'm a postdoc working with Mick Rugg in California, and I've an odd (and
> >hopefully quick) DCM question for you. In running my fourth set of DCMs,
>I'm
> >running into a problem I've not encountered before. I'm looking at how
> >regions that exhibit sustained activity interact with those showing
> >transient activity, but when both sets of regions are included in the same
> >model, the parameters in the A matrix corresponding to the connection
> >strength from the sustained to the transient regions do not seem to get
> >estimated. The DCM.a is appropriate, but the DCM.A contains 0s in the
> >relevant cells (yet has appropriate values in the cells for the visual
> >region to the transient regions).
> >
> >I should qualify this by stating I'm still using SPM2, as all my prior DCMs
> >have been estimated in SPM2. I've tried to run diagnostics by
>systematically
> >excluding regions or otherwise changing the A matrix, yet I find no rhyme
>or
> >reason to when the parameters are estimated and when they're not. Have you
> >encountered this before?
> >
> >Any help would be greatly appreciated. Mick sends his best.
> >
> >Thanks in advance,
> >~Melina Uncapher
> >
> >*****************************************
> >Melina R. Uncapher, Ph.D.
> >Functional NeuroImaging of Memory Group
> >Center for the Neurobiology of Learning and Memory
> >Department of Neurobiology and Behavior
> >University of California at Irvine
> >http://fnim.bio.uci.edu>[log in to unmask]
> >
> >
>===========End of original message text===========
>
>
>
>--------------------------------
>Darren R. Gitelman, M.D.
>Department of Neurology
>710 N. Lake Shore Dr. #1122
>Chicago, IL 60611
>Voice: (312) 908-8614
>Fax:   (312) 908-5073
>--------------------------------