Correspondence: When an article is eligible for submission of
Correspondence, a link to the response form is available within the full-text
article. You must be a
current subscriber who has activated the online portion of your subscription
in order to send a Correspondence. Any reader can read published
Correspondence.
Correspondence to:
ARTICLES:
H. D. Rosas, W. J. Koroshetz, Y. I. Chen, C. Skeuse, M. Vangel, M. E. Cudkowicz, K. Caplan, K. Marek, L. J. Seidman, N. Makris, B. G. Jenkins, and J. M. Goldstein
Evidence for more widespread cerebral pathology in early HD: An MRI-based morphometric analysis
Neurology 2003; 60: 1615-1620
[Abstract][Full text][PDF]
rosas{at}helix.mgh.harvard.edu Herminia D Rosas, et al.
We look forward to seeing the results of Dr.
Kassubek’s study, but disagree with several of his statements.
Table 2 reflects absolute volume differences (unadjusted for the
size of the cerebrum). While there is a great deal of variability in
the size of the cerebrum in the two groups, we were interested in:
differences in brain regions within the cerebrum (controlled for the
overall size of the cerebrum), as well as how much atrophy
occurred for particular ROIs regardless of overall size. Table 3
reflects the effect sizes for mean differences in volumes between
the groups (adjusted for cerebral size); the standard deviations are
not significantly different between groups on most of the ROIs.
In addition, the effect sizes for the mean volume differences are quite
large for extrastriatal regions. Effect size
estimations are better reflections of the size of the differences
between the
groups, not percent differences in absolute volumes as they reflect
standard deviation units from the "population mean". These are
the data to
which we refer when we say that there are important extrastriatal
differences between groups. Even for absolute volume differences
the standard deviation for the accumbens, hippocampus,
amgydala, and brainstem are very similar. Since we included
cerebral exterior as a covariate in the GLM, we are
testing for differences between the groups on specific ROIs,
unaccounted for by size of cerebrum.
Our view is that the use of anatomically-based ROI segmentation
provides a closer approximation to the actual anatomy of the brain.
Our techniques have resulted in excellent reliabilities and have
been
validated across many studies of different disorders.. Previous
volumetric studies that included this reliable method of segmenting
the accumbens in disorders such as schizophrenia and OCD have
been reported. Unreliability of segmenting the accumbens would
not result in significant differences between the groups, unless
there was differential misclassification of the accumbens.
Unreliability would attenuate finding significant differences. This is
unlikely given that raters were blind to group identification. We
found reductions in the volume of the vental diencephalons in HD
this area is prone to unreliability in the segmentation. Our previous
published work has in fact demonstrated that the cortex also
appears to undergo regionally specific and progressive thinning,
although here we report global cerebral gray. The results from
voxel-based morphometry are difficult to interpret, in particular wrt
volume
Each method, even the neuropathological “gold standard” is
prone to methodological limitations. Striatal degeneration appears
so severe in mid-stages of disease, that it may not be a sensitive or
reliable surrogate marker of disease of disease progression.
Future longitudinal studies are necessary.
MRI-based studies on Huntington´s disease: variability of extrastriatal volume changes
22 July 2003
Jan Kassubek, Dept. of Neurology, University of Ulm, Ulm, Germany Dept. of Neurology, University of Ulm, Oberer Eselsberg 45, 89081 Ulm, Germany, Wilhelm Gaus and G. Bernhard Landwehrmeyer
jan.kassubek{at}medizin.uni-ulm.de Jan Kassubek, et al.
We read with interest the paper by Rosas et al. [1] on
regional volume alterations in MR scans of 18 patients with early
Huntington´s disease (HD) using a region-of-interest (ROI) based analysis.
The authors stress that atrophy can be demonstrated in numerous
extrastriatal areas and conclude that even in early HD “widespread
degeneration” occurs. They also suggest that extrastriatal
degeneration may account for some clinical symptoms traditionally
attributed to striatal pathology.
There is little doubt that neurodegeneration in HD extends well beyond the
striatum; however, it is our impression that extrastriatal atrophy tends
to vary. This impression is based on the review of
neuropathological material [2] as well as on the results of a MRI study on
44 patients with early HD [3], using the extensively validated whole-brain-
based technique of voxel-based morphometry for 3-D MRI analysis [4].
A closer look at the data presented by Rosas et al. shows that extrastriatal
volume changes in HD are indeed not very impressive despite the emphasis
the authors place on them. The volume reductions expressed as percent of
normal are larger than 20% only for striatum, pallidum and amygdala; all
other ROIs were 86% of control values and more. Mean absolute volumes of
extrastriatal areas showed large standard deviations in the HD group
resulting in considerable overlap between HD and controls. Using a general
linear model for correlated data (GLM-CD), the authors concluded that
extrastriatal volume reductions in HD were not due to chance. Since the
standard deviations for HD-patients were substantially higher than for
controls (e.g. cerebral exterior 159.79 versus 9.96) we wonder whether
this inhomogeneity is compatible with the assumptions of a GLM-CD.
Furthermore, it is unclear how structure volumes were ‘adjusted’ for total
brain volumes (do the values given represent percentages of individual
total brain volumes?) and whether the denominator ‘total brain volume’
refers to the volume of all brain tissues or to the internal volume of the
skull; only the latter would not be subject to changes in the course of
the disease.
In addition, in our view the use of a ROI-based technique as primary
method of analysis has several drawbacks. First, robust changes in areas
not defined as ROIs, e.g. the hypothalamic area which exhibited
significant changes in our morphometric study [3] as well as in
neuropathological studies [5] were missed. Second, we are concerned that ROI
definitions such as "cerebral gray" may be misleading since multiple areas
with potentially variable natural history in terms of degeneration are
lumped together. In addition, the surprising observation that the nucleus
accumbens appears as atrophic as the caudate in the present study (which
is at odds with numerous neuropathological studies 2) might reflect
difficulties in interactively outlining this ROI in pathologically altered
brain scans.
The demonstration of quantitative extrastriatal volume loss may be of
limited use in the context of clinical trials given a marked
interindividual variability: disease progression may be far more robustly
reflected in striatal volume changes. Longitudinal studies will show
whether subregional striatal alterations can be used as progression
markers in clinical trials and whether they are more reliably captured
using voxel-based or ROI-based approaches.
References
1). Rosas HD, Koroshetz WJ, Chen YI, et al. Evidence for more
widespread cerebral pathology in early HD: An MRI-based morphometric
analysis. Neurology 2003; 60 (10): 1615-1620
3). Kassubek J, Juengling FD, Kioschies T, et al. Topography of cerebral
atrophy in early Huntington´s disease: a voxel-based morphometric MRI
study. J Neurol Neurosurg Psychiatry 2003; in press
4). Ashburner J, Csernansky JG, Davatzikos C, et al. Computer-assisted
imaging to assess brain structure in healthy and diseased brains. Lancet
Neurology 2003; 2: 79-88
5). Kremer HPH, Roos RA, Dingjan G, Marani E, Bots GT. Atrophy of the
hypothalamic lateral tuberal nucleus in Huntington's disease. J
Neuropathol Exp Neurol 1990; 49 (4): 371-382