Neuropsychological
testing may enable clinicians to identify people at risk for Alzheimer's
disease before symptoms appear
Clinicians may be able to use neuropsychological testing to identify
people at risk for Alzheimer's disease long before the onset of clinically
apparent symptoms, according to an article in the April issue of Neuropsychology.
Early detection may provide a window during which initiation of medication
might slow or prevent significant brain damage. Currently, there are
no reliable ways to detect and treat the disease before the brain
has been significantly damaged. Experts estimate that Alzheimer's
disease may affect up to four million Americans.
In the current research, investigators utilized
the knowledge that subtle cognitive changes may precede disease
onset by as much as 7 to 10 years to hypothesize that changes in
cognitive performance indicative of high risk for disease might
be found on neuropsychological testing well before the first clinically
apparent symptoms are seen.
The American team evaluated neuropsychological test
data from 40 people with average age 75 years who were enrolled
in a long-term study on Alzheimer's disease. Mark Jacobson, Ph.D.,
and colleagues compared the cognitive performance of two groups:
the preclinical group, 20 people who were diagnosed with possible
Alzheimer's disease within a year or two of testing and the control
group, 20 people who remained symptom-free for several years after
testing.
The researchers examined the comparative performance
of the two groups, all of whom were clinically normal at the time
of testing, on a variety of neuropsychological tests. The most revealing
data emerged from tests in which people had to name common items
from picture and those in which they had to use blocks to copy printed
block designs (visuoconstruction). These skills tests have been
proved useful in following Alzheimer's disease because they reflect
performance of cerebral regions that are among the earliest to deteriorate.
The data supported the team's hypothesis that testing
might reveal cognitive performance deficits not yet apparent clinically.
The preclinical group demonstrated significantly greater discrepancies
between naming ability and visuoconstruction ability than did the
control group. In addition, the preclinical group had a significantly
higher-than-expected proportion of these asymmetric profiles than
were found in a large normative group: The preclinical subjects
clearly had discrepancies in verbal-versus-visuoconstruction performance
that were greater in magnitude and more common than those seen in
control subjects.
The authors suggest that this kind of simple, noninvasive
testing could be of particular value for populations known to be
at risk because of family history of genotype. The key, according
to lead author Jacobson, is to test and track performance abilities
over time, looking not only for change in any one test but in the
level of one test relative to other skills tests.
"Our analyses," he continues, "show
that although Alzheimer's disease is typically marked by a global
cognitive decline, some individuals in a preclinical stage may show
a subtle change in one area of cognition prior to this global decline.
As a result, in addition to looking at cognitive deficits, we might
also look for large differences in one cognitive domain relative
to another -- especially if this difference represents a change
from earlier patterns of functioning."
The authors note that genotype has consistently
been shown to be a more accurate predictor of risk than asymmetry
in testing or brain imaging. However, they assert that genetic testing
may be more indicative of incidence rate than timing of onset of
disease. They hope that research will better define cognitive asymmetry
and raise the predictive power of cognitive profiling such that
false positive results are minimized.
Jacobson and his colleagues are now studying elderly
people on a longitudinal basis to see whether relative differences
in cognition between preclinical and control, non-disease groups
are always present or represent actual changes in cognition before
clinical onset of disease. They also hope that research will better
define cognitive asymmetry and raise the predictive power of cognitive
profiling in order to minimize false positive test results.
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