Vol. 8, No. 6, pp. 301-308, November/December 2001
REVIEW/MODEL SYSTEMS SERIES
Learning and Memory in Transgenic Mice Modeling Alzheimer's Disease
Karen Hsiao
Ashe
Departments of Neurology and Neuroscience, University of Minnesota,
Minneapolis, Minnesota 55455, USA
 |
ABSTRACT |
Recent advances in behavioral analyses of transgenic mouse models of
Alzheimer's disease (AD) are discussed, and their impact on our
understanding of the molecular basis of cognitive impairment in AD is
considered. Studies of the relationship between memory and Aß in
transgenic mice expressing the amyloid precursor protein (APP) and its
variants suggest that aging promotes the formation of soluble Aß
assemblies mediating negative effects on memory. A significant
component of memory loss in APP transgenic mice is apparently caused by
soluble Aß assemblies, but whether and how much of the dementia within
individuals afflicted with AD is caused by these Aß species is
unclear. Future studies in composite transgenic mice developing amyloid
plaques, neurofibrillary tangles, and other AD pathology may allow for
the determination of the relative contribution of Aß and non-Aß
components to dementia.
 |
ARTICLE |
The current optimism that meaningful treatments for Alzheimer's
disease (AD) are imminent has been generated using
transgenic mice modeling AD as test subjects (Schenk et al. 1999
; Bard
et al. 2000
; Janus et al. 2000
; Lim et al. 2000
; Morgan et al. 2000
; Cherny et al. 2001
; Dovey et al. 2001
). Transgenic mice modeling AD
have been reported by over 20 research groups. These mice were created
by expressing variants of amyloid precursor protein (APP), presenilin-1 (PS1) or presenilin-2, tau or apolipoprotein E. As a family the mice develop a wide variety of behavioral, biochemical, pathological, and physiological traits simulating AD, although not all
traits have been represented within an individual mouse line. All of
the transgenic mice used to evaluate potential therapeutic interventions have been APP transgenic mice or APP/PS1 bigenic mice,
because they are the only transgenic mouse models of AD in which both
amyloid deposition and progressive memory loss have been shown. The
lack of neurofibrillary tangles or significant neuronal loss in APP or
APP/PS1 mice makes it necessary to temper predictions of how
interventions benefiting mice with only some of the pathological
hallmarks of AD will affect humans afflicted with the actual disorder.
Although it is possible to produce both amyloid plaques and
neurofibrillary tangles within individual mice by crossing APP to
tau transgenic mice, the resultant mice are not suitable for
learning or memory assessments because they become paralyzed (Lewis et
al. 2001
). Testing of compounds and interventions in mice with more
comprehensive phenotypes awaits further refinement of transgenic models
of AD, but carefully interpreted treatment studies using currently
available mice are nonetheless valuable.
The main objectives of this review are to discuss recent advances in
behavioral analyses of transgenic mouse models of AD and to consider
their impact on our understanding of the molecular basis of cognitive
impairment in AD. For thoughtful summaries of genetic parameters,
neuropathology, and behavioral studies in APP transgenic mice, see
reviews by Westaway and colleagues (Janus et al. 2000
)
and by Chapman et al. (2001)
. A comprehensive, annotated transgenic
mouse directory is accessible at
http://staging.alzforum.org/members/resources/Transgenic/index.html (Alzheimer Research Forum 2001).
Dementia and Memory Loss
Mechanisms of Dementia in AD
Memory loss is the cardinal and one of the earliest clinical
manifestations of AD. Therefore, the efficacy of any given intervention will ultimately be judged upon its ability to prevent memory loss or
restore memory ability. New therapeutic measures against dementia in AD
are being aimed at a variety of targets deemed instrumental in the
pathogenesis of the disease. The two main targets are amyloid plaques
and neurofibrillary tangles and their principal molecular components,
Aß and tau.
The Aß hypothesis of AD stipulates that Aß aggregates to form amyloid
plaques that are neurotoxic, leading to neurodegeneration accompanied
by dementia. The strongest evidence for this hypothesis comes from
molecular genetic studies of APP and presenilins in familial AD showing
that all mutations increased the propensity for Aß to aggregate in
vitro. Studies of the modifier gene product, apolipoprotein E, showing
enhanced susceptibility conferred by the E4 allele also found that the
E4 isoform increased the rate of Aß aggregation.
The principal argument against Aß stems from multiple studies showing
little or no correlation between the number or size of amyloid deposits
and dementia. In some reports synaptic loss and neurofibrillary tangles
appear to correlate better with various measures of memory loss (Terry
et al. 1991
; Arriagada et al. 1992
; Berg et al. 1993
). Although no
cases of AD are linked to mutations in tau, some familial
dementias characterized by neurofibrillary tangles without amyloid
deposits are linked to tau mutants (Hutton et
al.1998
; Poorkaj et al. 1998
; Spillantini et al. 1998
). This indicates that abnormal tau metabolism can also lead to dementia.
Measuring Memory in APP Transgenic Mice
One of the main challenges in cognitive studies of APP transgenic
mice has been determining the onset of memory deficits. This is an
important challenge because identifying molecules causing memory loss
depends upon accurately determining when cognitive deficits first
appear. Two factors have made this a potentially difficult
determination to address. The first concerns the subtlety of initial
memory deficits and whether the behavioral tests used are sufficiently
sensitive to detect small, early changes. The second concerns the
presence of age-independent behavioral deficits that might not be well
distinguished from age-dependent learning and memory deficits and
whether testing procedures and analyses distinguish between these processes.
Another significant problem in assessing memory in APP transgenic mice
has been measuring memory ability across the entire life span of the
mouse. This is critical for correlating memory loss with molecular
markers appearing at different stages of disease. The main difficulty
in this task is that the dynamic range for changes in molecular markers
of AD is very large, whereas the dynamic range (i.e., the parametric
space represented between the "ceiling" and "floor") for many
popular behavioral procedures may be quite small. Unless all stages of
cognitive failure are measurable within the dynamic range of a given
behavioral procedure, meaningful data relating cognitive
changes to molecular markers at different stages of disease cannot be generated.
Similar issues have been raised testing AD patients. Delayed recall for
stories and figures discriminate mild cases from normal subjects well
but show rapid deterioration to an early floor and are therefore poor
for staging (Locascio et al. 1995
). On the other hand, confrontation
naming, semantic fluency, and immediate recognition of geometric
figures show steady linear decline across time for patients with AD and
are better tests for staging dementia severity (Locascio et al. 1995
).
Most studies comparing clinical status with brain pathology at autopsy
use the MMSE (Mini-mental status exam; Folstein et al. 1975
), the
Blessed IMC (information, memory, and concentration) test (Blessed et
al. 1968
), or the CDR (Clinical dementia rating; Morris 1993
), each of
which provides a different composite measure of various aspects of
global cognitive function. They correlate well with each other and
exhibit a broad dynamic range covering all stages of AD (Cummings et
al. 1996
). However, the broad dynamic range is achieved at the expense
of reduced selectivity for particular aspects of cognitive function.
Age-related behavioral deficits have been reported in five lines of APP
transgenic mice (Table 1). Moran
et al. were the first to measure spatial reference memory in an APP
transgenic mouse line. Using the Morris water maze, they studied
NSE:ß-APP751, a line that was homozygous for a transgene array
expressing wild-type human APP751, and showed an age-dependent
deterioration in the ability of mice to generate a search bias (Moran
et al. 1995
). Mice at 5-6 mo of age showed a search bias, but by 9-12
mo, they swam in a random pattern in all three probe trials performed
at equal intervals during the 9-d training. During the probe trials, the swim pattern of the mouse was recorded after the submerged platform
was removed, and the relative amount of time spent in the vicinity of
the location of the platform is an indication of spatial memory.
Interestingly, the escape latencies in both the hidden and visible
versions of the test were slow in both age groups, possibly indicative
of an age-independent deficit.
Morris and colleagues measured spatial working memory in PDAPP mice
using a water maze protocol in which the location of the platform was
changed between five successive groups of training trials (Chen et al.
2000
). Transgene-positive mice performed less well than
transgene-negative mice at the earliest tested age of 6-9 mo, and the
difference between transgene-positive and -negative mice increased
significantly with age. Further analysis revealed an age-independent
component of impairment in the transgene-positive mice that was
discerned during training to the first platform. This was distinct from
an age-dependent component detected during training to the last two
platforms and which was normal at 6-9 mo but abnormal at 13-15 mo and
older. Whether these two components were related to the effects of Aß
or overexpression of APP was not specifically addressed because
transgenic mice expressing an equivalent amount of wild-type APP were
not available for comparison. However, a weak, but statistically
significant inverse correlation (r2 = 0.25) was found between
amyloid load and learning capacity, defined as the number of different
platform positions a mouse could learn before failing to learn more,
suggesting a relationship between performance in this task and plaque deposition.
TgCRND8 mice showed impaired spatial reference learning and memory in
the conventional Morris water maze at the earliest tested age of 3 mo
(Janus et al. 2000
; Chishti et al., 2001
). Because of retest effects,
no clear progression of the deficit was shown. Because no mice
expressing comparable levels of wild-type APP were tested in parallel,
the possibility that this early deficit was due to APP overexpression
per se cannot be excluded. However, significantly better spatial
acquisition observed in 11-wk mice immunized for 5 wk against Aß42, as
opposed to control peptide (islet-associated polypeptide), implicated
Aß. A progression of the deficit between 6 and 11 wk of age could be
inferred by the finding that spatial learning and memory in 11-wk mice
immunized against Aß42 was similar to that of nontransgenic mice.
When mutant or wild-type APP was expressed in transgenic mice in an FVB
strain background, a wide variety of physical and behavioral
abnormalities occurred, including premature death, neophobia,
aggression, and seizures (Hsiao et al. 1995
; Moechars et al. 1996
,
1999
). These abnormalities have not been observed in the other commonly
used backgrounds, C57B6, 129S6, C3H, DBA, and Swiss Webster or mixtures
thereof. The rates at which they occur in the FVB strain background
depend upon APP expression levels. Van Leuven and colleagues reported
that 3- to 6-month-old mice in a B6FVBF1 background expressing either
APP with the V717I mutation or wild-type APP exhibit impaired spatial
reference learning and memory in the conventional Morris water maze
(Moechars et al. 1999
). They did not determine the age at which this
impairment became apparent or whether it progressed with aging, however
(Moechars et al. 1999
). It has been difficult to ascribe the various
physical and behavioral abnormalities or the memory impairment in these mice to APP or to cleavage products of APP, including APP
, APPß, C-terminal fragments, or Aß (Moechars et al. 1999
). The propensity for
these mice to seize may complicate the interpretation of cognitive studies, making this problem potentially more difficult to solve in FVB mice.
Memory in Tg2576 mice has been measured by several groups. Various
reports about the onset of cognitive deficits in Tg2576 have indicated
abnormalities appearing as early as 3 mo, as late as 15 mo, and at
intermediate ages (Hsiao et al. 1996
; Chapman et al. 1999
; King et al.
1999
; Pompl et al. 1999
; Morgan et al. 2000
; Westerman et al., in
press). The discrepancies between these studies are probably related to
differences in the sensitivities and dynamic ranges of the various
behavioral procedures used to test memory and to differences in the
ability to distinguish age-independent behavioral abnormalities from
age-dependent memory deficits (Westerman et al., in press). Ashe and
colleagues found age-independent performance deficits related to both
mutant and wild-type human APP overexpression by studying transgenic
mice overexpressing wild-type human APP695 at a level
equivalent to mutant APP695 in Tg2576 (Westerman et al., in
press). When mice with these deficits that were not specifically related to the expression of mutant APP695 were excluded from the analysis and when probe trials were interpolated early during training to increase the sensitivity of the Morris water maze test,
spatial memory loss was first detected at ~6 mo. These results are
supported by studies of Tg2576 mice trained longitudinally to respond
to a fixed consecutive number "five" operant paradigm (Cleary et
al. 2000
) or to alternate in a T-maze (P. Chapman, unpubl.), both
showing overlapping performance of transgene-positive and -negative
mice until ~7-8 mo.
These findings differ from two studies that failed to detect spatial
acquisition or retention deficits in 9-month-old Tg2576 mice using the
Morris water maze (Holcomb et al. 1999
; King et al. 1999
), well after
the appearance of detergent-insoluble Aß, and a third showing no
significant deficit in spatial retention in mice bigenic for the Tg2576
transgene array and mutant presenilin-1 at 15-17 mo (Arendash et al.
2001
). In all three studies, probe trials were performed only after
extensive training that probably saturated learning and reduced the
sensitivity of the test.
Chapman et al. (1999)
showed a correlation between working memory in
the T-maze and long-term-potentiation (LTP) recorded in vitro in the
CA1 and dentate gyrus of the hippocampus of Tg2576 mice. Reductions in
LTP recorded in vitro were present in old (16- to 17-month-old) but not
young (2- to 8-month-old) mice. However, when hippocampal slices from
behaviorally naïve old mice were incubated for several hours in NMDA
antagonists prior to recording, LTP in old mice was normal (Fitzjohn et
al. 2001
; P. Chapman, unpubl.). Taken together, these results suggest
increased vulnerability of Tg2576 hippocampal slices to NMDA-mediated
excitotoxic damage with age and that in vitro LTP in some circumstances
may reflect the susceptibility of Tg2576 hippocampal tissue to the trauma of slice preparation, rather than long-lasting synaptic plasticity. The vulnerability of the tissue appears to increase with
worsening cognitive function, accounting for the correlation between
working memory and LTP. However, this would not explain the diminution
of LTP recorded in vivo in the dentate gyrus of 13- to 15-month-old
Tg2576 mice (Chapman et al. 1999
). There are several possible reasons
for the disparity between in vitro and in vivo LTP results in Tg2576,
including the presence of a diffusible factor disrupting cognition that
might be diluted in slice preparations, the involvement of modulating
afferent pathways to the hippocampus that would be severed in slice
preparations, or the contributions of synaptically mediated
cerebrovascular responses that would make no contributions in vitro. Of
note, in vivo LTP in the dentate gyrus of rats is also diminished
following local infusions of Aß43 and Aß40 combined but not of the
same doses of peptides separately (Stephan et al. 2001). Because the
combination of peptides is more likely to aggregate than either peptide
alone, these results support the idea that the formation of aggregated
Aß impairs synaptic plasticity.
Molecular Correlates of Memory Loss in APP Transgenic Mice
Multiple studies in APP transgenic mice have supported the idea that
memory loss and Aß are related (Hsiao et al. 1995
, 1996
; Chen et al.
2000
; Janus et al. 2000
; Morgan et al. 2000
; Gordon et al. 2001
;
Westerman et al., in press). However, there is no consensus about which
form of Aß may be responsible. Various forms of Aß, characterized by
their aggregation states, are to be found in the brains of APP
transgenic mice at different ages (Kawarabayashi et al. 2001
).
Antibody-based detection methods are the most popular means by which
these different forms of Aß are measured, either in situ using
immunohistopathological techniques or in detergent-extracted brain
tissue assayed by enzyme-linked immunosorbent assay (Kawarabayashi et
al. 2001
). Although the detergent extractions are enriched for specific
Aß species, each fraction potentially contains a mixture of several
Aß species.
The first report studying the relationship between memory and Aß
showed the onset of spatial reference memory loss (using the Morris
water maze) at 9 mo was associated with rising levels of total Aß and
the appearance of amyloid deposits in Tg2576 mice (Hsiao et al. 1996
).
Using a more sensitive and specific water maze protocol, the onset of
deficits in Tg2576 mice was subsequently assigned to ~6 mo,
coinciding with the appearance of detergent-insoluble Aß aggregates
but prior to mature plaque deposition (Westerman et al., in press).
TgCRND8 mice show a rapid rise in Aß at 10 wk, probably indicative of
the appearance of detergent-insoluble Aß aggregates (Chishti et al.
2001
), and show Aß-dependent spatial memory deficits at 11 wk (Janus
et al. 2000
; Chishti et al. 2001
). These findings are consistent with
the observation in Tg2576 mice that the earliest changes in memory are
associated with the appearance of detergent-insoluble Aß. Genetically
accelerating the formation of detergent-insoluble Aß aggregates
resulted in an earlier onset of memory loss in Tg2576 mice
(Westerman et al., in press), further corroborating this
association. Two correlative studies in PDAPP mice and mice bigenic for
the mutant presenilin-1 and Tg2576 transgenes showed significant
negative correlations between memory and amyloid load (Chen et al.
2000
; Gordon et al. 2001
). One interpretation of these observations is
that memory loss in APP transgenic mice is closely associated with
detergent-insoluble Aß aggregates, some of which may be below the
threshold of histopathological detection. However, results of
investigations of APP transgenic mice across a broader age range argued
against such a simple relationship between memory and
detergent-insoluble Aß (Westerman et al., in press). This is discussed
more thoroughly below.
Two procedures measuring spatial working memory appear to lack the
necessary sensitivity to detect changes coinciding with the appearance
of detergent-insoluble Aß. Using a working-memory version of the
Morris water maze, deterioration in the age-dependent component of
working memory in PDAPP mice was first detected at 13-15 mo and not at
6-9 mo (Chen et al. 2000
), although a rapid rise in Aß occurred much
earlier between 4 and 8 mo (Johnson-Wood et al. 1997
). Nor is working
memory in Tg2576 mice measured in the radial arm water maze able to
detect abnormalities at ~6 mo, the age at which the conversion of
detergent-soluble to insoluble Aß first occurs. The earliest reported
deficits in radial arm water maze performance were in 15-month-old
Tg2576 mice and no deficits were found at 11 mo (Morgan et al. 2000
).
It is possible that spatial working memory is preserved longer than
spatial reference memory and is unrelated to the conversion of
detergent-soluble to insoluble Aß in Tg2576 and PDAPP mice. However,
mitigating against this possibility is the finding that acquisition of
forced alternation in a T-maze task, another test of spatial working memory, detects deficits in Tg2576 mice as early as ~7-8 mo (P. Chapman, unpubl.). It is more likely that the dynamic ranges of the
currently used paradigms to measure spatial working memory in the water
maze are tuned to reveal more severe age-dependent deficits
occurring in older Tg2576 and PDAPP mice but may miss the more subtle
abnormalities developing in younger mice.
The hypothesis that memory loss and detergent-insoluble Aß are closely
connected breaks down when mice at multiple ages spanning a broad age
range are examined. This break down would not have been evident in
previous studies examining only one age range (Chen et al. 2000
; Gordon
et al. 2001
). In Tg2576 mice no obvious correspondence between memory
and detergent-insoluble Aß was apparent in a combined group of old
(21-22 mo) and young (5-6 mo) mice unless the mice were stratified by
age, whereupon inverse correlations between memory and
detergent-insoluble Aß became evident (Westerman et al., in press).
These results suggested that detergent-insoluble Aß is a surrogate
marker for small assemblies of Aß that disrupt cognition and occur as
intermediates during amyloid plaque formation (Fig.
1). Importantly, detergent-insoluble Aß in
some cognitively intact old Tg2576 mice was a hundred to a thousand
times higher than in impaired young Tg2576 mice (Westerman et al., in
press). Ashe and colleagues concluded that these Aß
assemblies reside in the soluble Aß fraction because it would be
difficult to explain how some old mice with very high levels of
detergent-insoluble Aß could have relatively normal cognitive function
otherwise. The idea that soluble Aß species might be responsible for
memory deficits in APP transgenic mice was proposed initially to
explain how memory loss was more successfully prevented in Aß
vaccination studies than plaque deposition (Morgan et al. 2000
) or Aß
accumulation (Janus et al. 2000
) and why PDAPP mice lacking APOE showed
dramatically reduced plaque deposition but appeared to have slightly
worse memory (Dodart et al. 2000
). Taken along with the studies by
Ashe and colleagues (Westerman et al., in press), these
results challenge the classic amyloid cascade model but are in keeping
with in vitro studies showing neurotoxic properties of small Aß
assemblies (Roher et al. 1996
; Lambert et al. 1998
; Hartley et al.
1999
; Hsia et al. 1999
; Wang et al. 1999
; Mucke et al. 2000
).

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Figure 1:
Model summarizing relationship between memory and Aß in amyloid
precursor protein transgenic mice. The hypothetical cascade involves
the conversion of monomeric Aß (circles) to small Aß assemblies
(stars), which in turn disrupt cognitive function. This contrasts with
the classic amyloid cascade hypothesis, in which dementia is believed
to result from neuronal destruction associated with amyloid plaques
(starbursts). Amyloid load may be a surrogate marker for the
cognitively disruptive small Aß assemblies. If so, then it follows
that three independent factors influencing amyloid load, namely the
duration of disease, the conversion rates between soluble and insoluble
Aß, and the degradation rate of insoluble Aß, must be taken into
account when selecting subject pools. Doing otherwise could obscure the
relationship between amyloid deposition and dementia.
|
|
Relevance to Alzheimer's Disease
This idea might also explain a puzzling inconsistency in the
relationship between amyloid load and memory in AD. Several early reports showed little or no correlation between amyloid load and dementia (Terry et al. 1991
; Arriagada et al. 1992
; Berg et al. 1993
).
More recently, when more sensitive antibody-based methods were used to
measure Aß deposits and subject pools that represented a broad range
of cognitive impairment were examined, highly significant and robust
correlations were found (Cummings et al. 1996
; Bartoo et al. 1997
;
Naslund et al. 2000
). In spite of these methodological improvements,
however, it has remained difficult to explain why some individuals with
high plaque loads are cognitively normal (Katzman et al. 1988
; Delaere
et al. 1990
; Dickson et al. 1992
). Some possibilities are that these
individuals have greater cognitive reserve or are less susceptible to
amyloid plaques. The results of investigations in Tg2576 mice suggested
another possibility (Westerman et al., in press). If cognitive decline
is due to small Aß assemblies formed during the conversion of
detergent-soluble to -insoluble Aß, then certain individuals with low
levels of these Aß assemblies could be cognitively intact but would
nevertheless accumulate large amounts of deposits or Aßinsol
over time. The studies in APP transgenic mice also illustrate how
correlations between Aß and memory can be either instructive or
potentially misleading (Fig. 2).

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Figure 2:
Hypothetical schematic showing the relationship between memory and Aß
stratified by age. There is a negative correlation between memory and
Aß in mice within each age group (solid regression line). When very
large numbers of mice are examined across a broad range of ages, a less
robust inverse relationship between memory and Aß may emerge (dashed
line). The basis of the latter relationship lies in the gradual shift
of the distribution of memory scores in aging mice from higher to lower
values.
|
|
In conclusion, recent studies of the relationship between memory and
Aß in APP transgenic mice suggest that aging promotes the formation of
soluble Aß assemblies mediating negative effects on memory. The
conditions in the brain promoting assembly of monomeric Aß into
oligomeric species are unknown. Although these Aß assemblies disrupting memory have not yet been isolated from brain tissue, they
may be related to one or more Aß species that recently have been
synthesized and studied in vitro. A significant component of
memory loss in APP transgenic mice is apparently caused by soluble Aß
assemblies, but whether and how much of the dementia within individuals
with AD is caused by these Aß species is not clear. Whether
progressive worsening of cognition in Tg2576 and AD is due to
accumulation of cognitively disruptive Aß intermediates or to
superimposed toxic effects associated with fibrillar Aß and
plaque-related neuropathology is unknown.
Conclusion
Since the creation of the first transgenic mice modeling AD twelve
years ago, studies of these and subsequently generated mice have
provided important information about salient histopathological features
of AD. However, until recently the pathogenesis of memory loss in these
mice was poorly understood. The major impediment to elucidating the
relationship between cognitive function and molecular markers has been
the difficulty of distinguishing between age-dependent and
age-independent changes in behavior and cognition in APP transgenic
mice. The development and analysis in parallel of APP transgenic mice
expressing levels of wild-type APP comparable to mutant APP aided in
segregating behavioral effects that were not specifically related to
mutant APP expression. Refinement of behavioral tests provided the
necessary sensitivity and dynamic range to obtain measures of memory
ability that mapped well onto post-translational modifications
of the leading molecular candidate, Aß. These descriptive
characterizations alongwith active Aß immunization studies in APP
transgenic micehave shown that Aß is necessary and sufficient to
disrupt memory and implicate a cognitively disruptive soluble Aß species.
The hypothesis that small Aß assemblies formed during the conversion
of soluble to insoluble Aß cause memory loss helps reconcile conflicting results obtained in investigations of the relationship between amyloid load and dementia in patients with AD. By reconciling the studies showing poor correlations between amyloid load and cognitive status with the Aß hypothesis, the major argument against the role of Aß in the pathogenesis of AD is weakened. However, it is
unlikely that non-Aß components in the AD brain exert no effect
whatsoever on brain function. Future studies in composite transgenic
mice developing amyloid plaques, neurofibrillary tangles, and other AD
pathology may allow for the determination of their relative
contributions to dementia.
 |
ACKNOWLEDGMENTS |
I thank Marcus Westerman for his insightful intellectual and
scientific contributions and Paul Chapman for his helpful critique of
this manuscript. Supported by the NIH (AG15453 and NS33249).
 |
FOOTNOTES |
E-MAIL hsiao005{at}umn.edu; FAX (612) 626-2639.
Article and publication are at
http://www.learnmem.org/cgi/doi/10.1101/lm.43701.
 |
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