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Subject:

Re: SVC procedure in VBM

From:

Robert McClure <[log in to unmask]>

Reply-To:

Robert McClure <[log in to unmask]>

Date:

Mon, 21 Feb 2005 13:20:24 -0500

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (117 lines)

Dear Elena and SPMers:

This question may make me unpopular, since it addresses the
validity of using a SVC/mask with VBM, but I am going to ask it
anyways...

A number of groups have been applying SVC to VBM in their
published studies.  I understand that, at least in SPM99,
non-stationariness of smoothing could make the SVC approach invalid
(see message below).

John, will you comment?

_______________________________________________________________

Date:         Wed, 9 Jan 2002 13:04:17 GMT
  Reply-To:     Karl Friston <[log in to unmask]>
  Sender:       "SPM (Statistical Parametric Mapping)"
<[log in to unmask]>
  From:         Karl Friston <[log in to unmask]>
  Subject:      Re: svc in vbm
  Comments: To: [log in to unmask]

  Dear Christopher,

  John is right in the sense that SPM99 uses a volume measure that
  assumes the smoothness is stationary, The 'statistical' volume is
resel
  (resolution elements) per voxel times the number of voxels.  In SPM99
  the average resels per voxel over the search volume is used  If the
  Small Volume in the SVC is small it may under-estimate or
over-estimate
  the true statistical volume, if the local smoothnes is less than or
  more than the average.  This is not a problem unless there is
  substantial nonstationariness in the smoothness.  For VBM this may be
  the case.

  The way to fix this would be to use the resels per voxel estimate in
  the small volume (from the RPV.img).  However, SPM99 does not use a
  local estimate.  The simplest thing to do is to qualify your inference
  by making the stationariness assumption explicit and say the inference
  are only valid if the averge smoothness in the small volume is roughly
  the same as over the entire search volume. This can only be assured if
  the Gray matter partitions have been smoothed sufficiently (e.g.
8-12mm
  FHWM).

  Note that these comments apply to the p value based on height (not
  spatial extent).

  I hope this helps,

  Karl

  ----- Begin Included Message -----

  From [log in to unmask] Wed Jan  9 11:05:44 2002
  References:
<[log in to unmask]>
  Date:         Wed, 9 Jan 2002 11:08:56 +0000
  Reply-To: John Ashburner <[log in to unmask]>
  From: John Ashburner <[log in to unmask]>
  Organization: FIL
  Subject:      Re: svc in vbm
  Comments: To: Christopher Summerfield
<[log in to unmask]>
  To: [log in to unmask]
  In-Reply-To:
<[log in to unmask]>

  The extent statistic is definately a problem because of the
non-stationary smoothness
  of the residuals.  Smoother regions are likely to produce bigger
blobs.  I would imagine
  that this non-stationarity would also have negative consequences for
the validity of SVC
  for VBM data as it has been implemented in SPM99.  Less smooth regions
contain more
  resolution elements than average, so more independent t-tests are done
and there is
  more chance of getting a false positive result (in these less smooth
regions).

  Perhaps someone else can comment.

  Best regards,
  -John

  On Tuesday 08 January 2002 21:56, Christopher Summerfield wrote:
  > hi spm
  >
  > I seem to remember reading somewhere in the list a mail which said
that
  > results using a small volume correction in voxel based morphometry
may not
  > be reliable - is this the case? if so why? can the procedure be
altered to
  > permit svc?
  >
  > chris summerfield
  > psychology
  > columbia university

  --
  Dr John Ashburner.
  Functional Imaging Lab., 12 Queen Square, London WC1N 3BG, UK.
  tel: +44 (0)20 78337491  or  +44 (0)20 78373611 x4381
  fax: +44 (0)20 78131420  http://www.fil.ion.ucl.ac.uk/~john

Robert K. McClure MD, Assistant Professor
Department of Psychiatry, School of Medicine
University of North Carolina at Chapel Hill
Address:  Campus Box #7160
Chapel Hill, NC, 27510-7160, USA
E-mail: [log in to unmask]
Office phone: 919-843-6629

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