http://stroke.ahajournals.org/content/45/Suppl_1/AWP41.short
+ Author Affiliations
Abstract
Background: The
Network Modification (NeMo) Tool uses a library of brain connectivity
maps from normal subjects to quantify the amount
of structural connectivity loss caused by focal
brain lesions. We hypothesized that the NeMo Tool could predict remote
brain
tissue loss caused by Wallerian degeneration
after stroke.
Methods: Baseline and
follow-up MRIs from 27 patients with acute ischemic stroke were
collected (74±14 years, initial NIHSS 2±3, 5.7±2.8
months b/w scans). Diffusion-weighted image
derived lesion masks were superimposed on the NeMo Tool’s connectivity
maps in
order to predict changes to the structural
connectivity network and to investigate correlations with future
atrophy. Regional
connectivity losses were estimated via the
Change in Connectivity (ChaCo) score, i.e. the percent of “injured”
tracks going
through lesions that connect to a given region.
ChaCo scores and longitudinal tissue changes were calculated using a
standard
116 region atlas.
Results: Lesion
location and size varied greatly, but they occurred more frequently in
the left hemisphere. The ChaCo scores, which
were generally higher in regions near stroke
lesions, reflected this heterogeneity. In general, ChaCo was higher in
the left
hemisphere than the right and was high in the
postcentral and precentral gyri, insula, middle cingulate, thalami,
putamen,
caudate nuclei, and pallidum. Moderate
correlations were found between ChaCo scores at baseline and measures of
subsequent
tissue loss (change in volume and average mean
diffusivity [MD] from baseline to follow-up, see Figure 1).
Conclusions: ChaCo
scores varied greatly, but the most affected regions included those with
sensorimotor, perception, learning and memory
functions. Moderate correlations were found
between ChaCo scores at baseline and subsequent tissue loss. These
results suggest
that the NeMo Tool could enable more accurate
prognosis, as it may identify regions most susceptible to degeneration
from
remote infarcts.
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