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Clinicopathologic Studies in Cognitively Healthy Aging and Alzheimer Disease
Relation of Histologic Markers to Dementia Severity, Age, Sex, and Apolipoprotein E Genotype
Leonard Berg, MD;
Daniel W. McKeel, Jr, MD;
J. Philip Miller;
Martha Storandt, PhD;
Eugene H. Rubin, MD, PhD;
John C. Morris, MD;
Jack Baty;
Mary Coats, MSN;
Joanne Norton, MSN;
Alison M. Goate, DPhil;
Joseph L. Price, PhD;
Marla Gearing, PhD;
Suzanne S. Mirra, MD;
Ann M. Saunders, PhD
Arch Neurol. 1998;55:326-335.
ABSTRACT
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Objective To study differences between subjects with Alzheimer disease (AD) and cognitively intact control subjects, with respect to brain histologic markers of AD, and the relationship of those markers in the AD group to severity of dementia, age at death, sex, and apolipoprotein E genotype.
Setting Washington University Alzheimer's Disease Research Center, St Louis, Mo.
Design and Subjects Consecutive neuropathologic series of 224 prospectively studied volunteer research subjects, 186 with dementia of the Alzheimer type (DAT) or "incipient" DAT and confirmed to have AD by postmortem examination and 13 cognitively intact subjects, confirmed to lack postmortem findings of AD.
Main Outcome Measures Brain densities (number per square millimeter) of senile plaques and neurofibrillary tangles, extent of cerebral amyloid angiopathy, cortical Lewy bodies, and apolipoprotein E genotype.
Results Neocortical neurofibrillary tangle densities were substantially correlated with dementia severity, and to a greater degree than was true for senile plaque densities. When infarcts, hemorrhages, and Parkinson disease changes coexisted with AD, neurofibrillary tangle and senile plaque densities were lower. Plaque-predominant AD was found in a greater proportion of subjects with milder than more severe dementia. Entorhinal cortical Lewy bodies were no more frequent in plaque-predominant AD than in the remaining AD cases. Increasing age at death was negatively correlated with dementia severity and densities of senile plaques and neurofibrillary tangles. The apolipoprotein E 4 allele frequency was greater in AD than in control subjects but decreased with increasing age. After controlling for dementia severity, senile plaque densities were only weakly related to 4 allele frequency, and only in hippocampus. However, the degree of cerebral amyloid angiopathy was clearly related to 4 allele frequency. Among subjects diagnosed during life as having DAT or incipient DAT, only 7% were found to have a neuropathologic disorder other than AD causing their dementia.
Conclusions (1) The order of the strength of relationships between densities of histologic markers and dementia severity in AD is neurofibrillary tangles greater than cored senile plaques greater than total senile plaques. (2) Advanced age at death is associated with somewhat less severe dementia and fewer senile plaques and neurofibrillary tangles. (3) Plaque-predominant AD may represent a developmental stage in AD. (4) Despite a substantial effect of apolipoprotein E 4 as a risk factor for AD, on decreasing the age at AD onset, and increasing the amount of cerebral amyloid angiopathy, its effect on senile plaque densities is variable and complex, being confounded with age, dementia severity, and methodologic differences. (5) Stringent clinical diagnostic criteria for DAT, even in the very mild stage, and senile plaquebased neuropathologic criteria for AD are highly accurate.
INTRODUCTION
IN 1993, some of us published in the ARCHIVES a clinicopathologic study of persons who had brain postmortem examination at or after 80 years of age.1 Of the 42 subjects, 37 were diagnosed clinically as having dementia of the Alzheimer type (DAT). Only 1 of the 37 had a non-Alzheimer degenerative disease; 36 were confirmed to have Alzheimer disease (AD) by the criterion of abundant neocortical senile plaques (SPs). The brains of the 5 cognitively healthy control subjects were largely free of SPs. That publication addressed the many reports that there are lesser differences in brain neuropathologic markers of AD between groups of persons with AD and nondemented control individuals aged 80 years and older, as compared with the considerable differences between younger persons with AD and controls.2-5 We concluded that "neocortical senile plaque densities differentiate very old Alzheimer's disease subjects from nondemented controls, but there is a need for more postmortem studies of old people demonstrated to be free of dementia."1
A major challenge in comparing the prevalence of AD lesions in old individuals with AD and "nondemented" control subjects is the selection of appropriate criteria for excluding mild dementia in the controls. Reports of numerous neocortical SPs in the apparent absence of dementia had provided a case in point.6-7 In 1 study, the authors concluded that nondemented old people whose brains have SP densities that exceed minimal criteria for AD should be considered to show "pathological aging" (but not AD) in contrast to "normal aging," ie, not associated with cerebral amyloid (SP) deposition.8 We posited that some of those people with "pathological aging" may already have had very mild AD that might have been diagnosed by more sensitive methods, such as historical information from a knowledgeable informant, as we have found.9 Furthermore, we have since reported on the clinical indications of slight cognitive decline in some of our control subjects shortly before their death and the implications of those minimal clinical changes for the finding of abundant neocortical amyloid-containing SPs, despite the lack of overt dementia.10
The second major conclusion of the 1993 article was that "among the microscopic lesions studied, densities of neocortical neurofibrillary tangles [NFTs] were most closely related to the degree and duration of dementia."1 Densities (counts per square millimeter) of total neocortical SPs were not related to severity of dementia in the subjects with AD, but cored neocortical plaque densities were.
In the last few years, there have been 2 major advances pertinent to such clinicopathologic studies. The apolipoprotein E (apoE) genotype, specifically the 4 allele, has been recognized as a major risk factor for late-onset AD that lowers the age at onset and has been reported to increase the extent of -amyloid deposition in brain parenchyma and in cerebral and meningeal blood vessels.11-16 As Olichney and colleagues16 pointed out, "the potential confounding factors of the 4 allele. . . being associated with an earlier age of onset and possible apoE-gender interactions also need to be addressed since these factors have not been controlled for in most neuropathologic studies of apoE in AD." The second recent advance is the recognition that cortical Lewy bodies are often found in the brains of those older individuals with "plaque-only" or "plaque-predominant" AD ("Lewy body variant of AD").17
This report extends the scope of the previous communication. It is based on a much larger series, 224 subjects (including those previously described) aged 46 to 106 years at death, studied by clinical assessments, apoE genotyping, and postmortem analysis. Brain densities of NFTs and SPs were examined, as were the extent of cerebral amyloid angiopathy (CAA) and presence or absence of other neuropathologic features, including infarcts, nigral degeneration, and cortical or nigral Lewy bodies. The study provided the opportunity to compare (1) cognitively healthy aging with DAT and AD and (2) the severity of dementia (very mild to severe) close to death in the AD sample with the neuropathologic markers, a topic of ongoing controversy in the literature. The relationship of these markers to age, sex, and apoE genotype of the subjects is also addressed.
SUBJECTS AND METHODS
SAMPLE
All subjects were volunteers seen for longitudinal research studies of DAT and cognitively healthy aging. None were members of AD kindreds with known genetic mutations. Those with dementia met clinical research inclusionary and exclusionary diagnostic criteria for DAT,18 corresponding to those for "probable AD."19 Control subjects and those with "incipient" dementia (see next section for definition) met the same exclusionary criteria. All subjects meeting these criteria, examined during life and coming to autopsy at Washington University, St Louis, Mo, from January 1, 1981, through May 31, 1996 (n=224), were considered for this report. Two of 17 control subjects were eliminated from analyses because they suffered massive craniocerebral trauma that led to their death. As discussed previously,10 their brains had abundant SPs, interpretable either as induced by the trauma20-21 (a debatable point) or evidence of preclinical AD. Two other controls (aged 74 and 85 years at death) had brains with neocortical SP densities that met neuropathologic criteria for AD (see that section for definition). Thus, sample size for the controls in the analyses reported here was 13.
There were 207 subjects diagnosed as having DAT or incipient DAT. The presence of AD was confirmed neuropathologically in 192 of the 207, a clinical diagnostic accuracy rate of 93%. Twenty-one of the 207 subjects were eliminated from this series. In 14, a non-AD cause for the clinically diagnosed DAT was found (Table 1). In the brain of 1 subject diagnosed clinically as having incipient DAT, no abnormalities were observed on neuropathologic study. In 6 persons with autopsy-confirmed AD, the cognitive status near death could not be ascertained or major intervening comorbidity made it impossible to know how much of the dementia was attributable to AD. Thus, the sample examined here (N=199) included 13 control subjects and 186 subjects with DAT or incipient DAT with autopsy-confirmed AD. Demographic information is provided in Table 2.
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Table 1. Fourteen Subjects With DAT With Non-AD Autopsy Diagnoses
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Table 2. Demographic Characteristics, Clinical Data, and apoE Genotype of the Controls and Subjects With DAT With Confirmed AD*
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CLINICAL ASSESSMENT
At each clinical assessment, the subjects were assigned a Washington University Clinical Dementia Rating (CDR)23-24 in which 0 indicates no dementia and 0.5, 1, 2, and 3 signify questionable (or very mild), mild, moderate, and severe dementia, respectively. The CDR was assigned by an experienced physician (L.B., E.H.R., or J.C.M.) or nurse specialist (M.C., or J.N.) with physician review after standardized interview18, 23 of a knowledgeable informant and examination and interview of the research subject. To derive the CDR, the same 5-point scale (0-3) was used to rate decline in each of 6 cognitive categoriesmemory; orientation; judgment and problem solving; community affairs; home and hobbies; and personal care. Raters scored the absence or the degree of impairment in the 6 cognitive categories according to descriptors provided in the CDR table24 regardless of the subject's age. That effort allows the recognition of very mild but clinically significant cognitive decline even at advanced age. An additional useful quantitative measure is the sum of these 6 ratings ("sum of boxes"),25 which provides an expansion of the CDR scale. The range of sum of boxes extends from 0 (no impairment) to 18 (maximum impairment). Interrater reliability of the CDR and sum of boxes among trained physicians and nurses has been good.26-27 (Results of psychometric testing were not disclosed to the physicians or nurses at the time the CDR was assigned.)
Experienced nurse specialists (M.C. and J.N.) or physicians (L.B., E.H.R. and J.C.M.) interviewed a knowledgeable informant after the subject's death, but before the results of autopsy were known, and derived a CDR and sum of boxes pertinent to the subject's level of cognitive performance just before the terminal events leading to death. This interview was a portion of our validated postmortem interview protocol.28 In addition, a physician reviewed the records of all clinical assessments (usually multiple and videotaped for independent rating by a second clinician) and the postmortem interview to prepare an "expiration summary" with its own CDR and sum of boxes, also before results of autopsy were known. This method was useful to take into account discrepancies between ratings during life and those on postmortem interview with respect to CDR 0.5 vs CDR 0.10 When there were disagreements regarding CDR 0 or CDR 0.5 between clinical raters or between last clinical assessment and postmortem interview/expiration summary, for the present study the subject was assigned to a CDR 0/0.5 classification. The sum of boxes associated with the CDR 0.5 was then used for data analysis. By this procedure, the CDR 0 classification was preserved as one in which no rating other than CDR 0 was applied during life or post mortem. Our experience9-10 has led us to recognize that a CDR 0.5 designation is an indication of the beginning manifestation of DAT (and a predictor of postmortem confirmation of AD) when there is no other ready explanation. Whereas some subjects with CDR 0.5 satisfy our research criteria for DAT18 (impairment in memory plus 3 of the other CDR cognitive domains), others do not, because they are judged to be impaired in fewer domains. Similarly, those subjects with CDR 0.5 who do not meet our criteria for DAT would not satisfy other standard diagnostic criteria19, 29 for DAT, often because the cognitive decline has not reached the threshold of interfering with social or occupational activity. In our studies, they are being labeled as having "incipient" DAT, CDR 0.5, or CDR 0/0.5. Because quantitative data on the neuropathologic markers in the brains of subjects with AD who had CDR 0/0.5 (n=6) were highly similar to those of subjects with AD who had CDR 0.5 (n=11), data on these 2 groups were combined and labeled CDR 0.5 in subsequent analyses.
Estimated age at onset was based on reports from collateral sources when cognitive decline was first diagnosed. Duration of the severe dementia stage (CDR 3) was estimated for all subjects who reached that point before death. All procedures and the means for obtaining informed consent were approved by the institutional review board. Relevant clinicopathologic data on small groups of these subjects have been reported previously.1, 9-10,22, 30-31
apoE GENOTYPING
At Washington University, DNA was extracted from frozen brain or antemortem blood samples by means of QIamp kits (Qiagen, Chatsworth, Calif) as per the manufacturer's protocols. Two hundred microliters of blood was placed in a tube with 25 µL of Qiagen proteinase K and 200 µL of buffer AL, then vortexed, incubated at 70°C for 10 minutes, and mixed with 210 µL of ethanol. The mixture was spun through a QIAamp spin column at 6000g for 1 minute. The column was washed twice with 500 µL of buffer AL and then DNA was eluted with 200 µL of buffer AE. Genotypes were determined by polymerase chain reaction amplification, digestion with CfoI (Boehringer Mannheim, Indianapolis, Ind), and electrophoresis through 6% NuSieve 3:1 agarose (FMC Bioproducts, Rockland, Me). The electrophoresis conditions were 4.5 V/cm for 90 minutes. Products were visualized under UV light after the gel was incubated in ethidium bromide solution. Primer sequences and polymerase chain reaction conditions were as previously described.32-33 When blood or frozen brain samples were not available, paraffin-embedded fixed brain samples were sent for genotyping at both Emory University, Atlanta, Ga, and Duke University, Durham, NC, as a quality control measure. At Emory, DNA extracts were prepared from sections of these samples mounted on glass slides; 2 different methods were used as previously described.34 Polymerase chain reaction amplification and restriction enzyme (Hha1) digestion32 were then carried out, and the resulting DNA fragments were visualized with ethidium bromide. At Duke, a crude DNA extract was prepared from sections mounted on glass slides.35 Two microliters of the extract was used in the 15-µL radioactive apoE restriction fragment isotyping protocol.11 Genotype reports that were initially discrepant between the 2 laboratories studying paraffin-embedded tissue sections were repeated and resolved. For 7 of the 150 subjects whose paraffin-embedded tissue was studied, a genotype could not be determined in one or the other laboratory, but the successful laboratory was able to confirm the genotype by repeating the procedure. The apoE genotypes were successfully obtained in 10 of the 13 controls and in 166 of the 186 subjects with autopsy-confirmed AD.
NEUROPATHOLOGIC ASSESSMENT
The following regions from the left cerebral hemisphere were sampled for microscopic morphometric analyses: middle frontal gyrus, anterior third of superior temporal gyrus, inferior parietal lobule, CA1 portion of the hippocampus and subiculum, and entorhinal cortex between the levels of the mamillary and lateral geniculate bodies. Sections (6 µm) were cut from each paraffin-embedded block perpendicularly to the pial surface. The staining and counting procedures for NFTs and SPs were detailed previously1 and are summarized here. Two modifications of the Bielschowsky ammoniacal silver method were used. One was optimized to demonstrate neurofibrillary abnormalities, including extracellular and intracellular NFTs and cored plus noncored neuritic plaques. The other, adapted from Hedreen and colleagues,36 provided optimal detection of all SPs, including diffuse and neuritic plaques.
In the microscopic sections from each region, densities of NFTs and SPs (total and subtypes), expressed as average number per square millimeter, were determined in a standardized method detailed previously1 without selection bias based on variations of lesion densities or distributions in individual cases. Counts were taken in 10 consecutive 1x1-mm cortical fields per slide, 5 along the pial surface and 5 along the white mattercortex junction. Both intracellular and extracellular tangles were included in the NFT counts. Total SPs included all varieties of argyrophilic diffuse and neuritic plaques. Diffuse plaques are amorphous or finely fibrillar deposits and lack abnormal argyrophilic neurites or central cores. Neuritic plaques contain abnormal swollen argyrophilic neurites. Cored SPs are a subset of neuritic plaques and contain central compact cores. Neuritic plaque densities were determined by means of one silver method on a section of frontal cortex within 50 µm of the section used for total SP densities with the other silver method.36 A previous publication from this laboratory provided evidence that total SP densities by this method are highly correlated with percentage of cortical area occupied by SPs and therefore with "amyloid burden."37 It also provided evidence for cross-validation of the manual method used here with the automated counting. Because there were 8- to 10-fold more severely demented (CDR 3) subjects with AD than those in any of the less severe CDR stages (Table 2), complete NFT and SP morphometric studies were performed on all subjects with CDR less than 3 and on 78 of the 144 CDR 3 subjects. (Power considerations on comparing data on CDR 3 subjects with those on any of the less severely demented groups indicated that the gain from providing NFT and SP data on 144 instead of 78 CDR 3 subjects would be minimal.) The 78 were chosen to include the youngest and oldest subjects to analyze for age effect. No other selection criteria were used. Neuritic plaque densities were determined on all 144 CDR 3 subjects.
Because of their quantitative nature, the consensus criteria reported by Khachaturian38 were used for the diagnosis of AD, with the added requirement that the average total SP density of the 10 microscopic fields exceeded the age-adjusted criteria in at least 1 neocortical region. "Plaque-predominant" AD (PPAD) was defined as having no more than 1 NFT per square millimeter averaged across the 10 fields in any neocortical region.
Cerebral amyloid angiopathy was assessed by means of thioflavine Sstained tissue sections.1 The investigator (D.W.M.) scanned the entire section (measuring approximately 2.5 cm2) to ensure detecting all thioflavine Spositive meningeal and parenchymal blood vessels. The maximum number of positive blood vessel profiles in any single 1-mm2 field was measured for a given section as follows: grade 0 (none), grade 1 (1-2 positive profiles), grade 2 (3-5 positive), and grade 3 (>5 positive). This sampling strategy was adopted because of our experience that AD brains with widespread CAA also have high CAA scores in individual fields.
Cortical Lewy bodies (LB) were assessed with an anti-ubiquitinstained section of entorhinal cortex, chosen to be representative of the limbic system where cortical LBs tend to be prevalent.39 (In an unpublished consecutive series of 30 AD subjects with cortical LBs in which at least 5 neocortical regions were studied by 2 of us [S.S.M. and M.G.], all had entorhinal LBs; 29 had neocortical LBs.) The LBs were noted as present or absent after search through consecutive 1-mm2 fields from the medial edge of entorhinal cortex to the depth of the collateral sulcus. The LBs were distinguished from NFTs by being circular or oval, nonfibrillar, and usually associated with an eccentric nucleus. On hematoxylin-eosin preparations of the substantia nigra, LBs were noted as present or absent. In addition, nigral neuronal loss, gliosis, and free neuromelanin pigment were each assessed on a scale of 0 to 3+. When there was a combined score of 2.5 or higher on those scales, substantia nigral degeneration was diagnosed. All histologic data reported here were acquired by 1 of us (D.W.M.) without knowledge of clinical data, genotype, or prior neuropathologic diagnostic assessment.
STATISTICAL ANALYSES
The distributions of plaque and tangle densities in the 10 fields for each of the 5 regions for each subject showed substantial intrasubject variability with distributions skewed to the right. By taking the logarithm of each density (adding 0.5 to each density to avoid logarithms of 0) and taking the average of the logarithms, a "typical" density was computed for each lesion, for each region, for each subject. This transformation also reduced the skew of the distribution of counts for a particular lesion and region across subjects. An average across the 3 neocortical regions was also computed for each subject. Average values were transformed back to densities (number per square millimeter) for greater clarity in presentation. Other treatments of the raw densities, including taking the average of the 3 fields with the highest densities, using the maximum of the 10 densities, and using the arithmetic average of the 10 densities, were also subjected to statistical analyses with results similar to those presented here, except that the resulting analyses were more suspect because of failure to meet the ordinary distributional assumptions. All calculations were performed with SAS.40
Analyses of covariance, adjusting for age at death, were used to compare neuropathologic lesion densities across the 4 severity groups (CDRs 0.5, 1, 2, and 3). Pairwise comparisons between least square means were adjusted for multiple comparisons by the Tukey-Kramer method.41
RESULTS
NEUROPATHOLOGIC DIAGNOSES
The 13 control subjects (CDR 0) had brains with very few, if any, SPs or NFTs (exemplified in Figure 1, Figure 2, and Figure 3). Of the 186 AD cases, 114 (61.3%) had pure AD. A substantial number had both AD and Parkinson disease changes (substantia nigral degeneration plus nigral LBs [PD], 14.0%) or nonspecific substantia nigral degeneration (SND, 8.1%). Only 8.6% of the subjects had AD plus vascular lesions, defined as acute, subacute, or remote infarcts (including microinfarcts) or hemorrhage but excluding CAA. The remaining 8.1% had AD, vascular lesions, and either PD or SND. (None had signs of stroke or parkinsonism at onset of dementia.) Of the 13 controls, 9 had vascular lesions, 1 had PD, and 4 others had SND (1 control subject had vascular lesions and SND).
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Figure 1. Densities (number per square millimeter) of temporal neurofibrillary tangles (NFT) for subjects grouped by Clinical Dementia Rating (CDR) and neuropathologic diagnoses. See "Clinical Assessment" subsection of the "Subjects and Methods" section for explanation of CDR scores. The 13 controls are clustered in the first column, labeled CDR 0. The other "X" symbols indicate pure Alzheimer disease (AD), as in 3A for CDR 3 subjects; 3B and open circles, AD plus Parkinson disease changes (PD); 3C and open squares, AD plus other nigral degeneration (SND); 3D and triangles, AD plus vascular lesions; 3E and diamonds, AD plus vascular plus PD or SND. The mean values of the groups are connected.
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Figure 2. Densities (number per square millimeter) of frontal total senile plaques for subjects grouped by Clinical Dementia Rating (CDR) and neuropathologic diagnoses. The mean values of the groups are connected. See the legend to Figure 1 for an explanation of abbreviations and symbols.
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Figure 3. Densities (number per square millimeter) of frontal cored senile plaques for subjects grouped by Clinical Dementia Rating (CDR) and neuropathologic diagnoses. See the legend to Figure 1 for an explanation of abbreviations and symbols.
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EFFECT OF AGE
Older subjects had less severe dementia as indicated by CDR at death (r=-0.33). Similarly, the correlations between age and lesion density shown in the last column of Table 3 were also negative, except for a nonsignificant positive age correlation with entorhinal cored SPs. For these reasons, age at death was used as a covariate in the next analyses.
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Table 3. Mean Density of Markers in AD: Relation to CDR, Sum of Boxes, and Age at Death*
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RELATIONSHIP OF NFT AND SP TO DEMENTIA SEVERITY
There was considerable intersubject variability in marker densities within a given CDR group, exemplified in Figure 1, Figure 2, and Figure 3, no greater for older than younger subjects. Nevertheless, there was a significant relationship between dementia severity (both CDR and its sum of boxes) and NFT densities in all regions (Table 3). The NFTs were less dense in neocortical compared with hippocampal regions. Furthermore, the relation of NFTs to dementia severity varied for neocortical compared with hippocampal regions. The NFTs in the neocortex were substantially correlated with dementia severity (r values with sum of boxes ranged from 0.44-0.49). Analysis of variance comparing the 4 CDR groups and subsequent post hoc tests showed that this resulted primarily from increased NFTs in severe dementia (CDR 3). The correlations with dementia severity were more modest in the hippocampal and entorhinal regions (0.30 and 0.21). In these regions, the same approach disclosed that the increase in NFTs occurred in the milder stages of the disease between CDR 0.5 and 1, remaining relatively stable thereafter. These analyses were repeated for only those subjects with pure AD, with similar results.
The relation of SPs to dementia severity is complicated by the anomalous results for the CDR 1 group, which had fewer SPs in most areas than the CDR 0.5 group. Given the small size of the CDR 1 group (n=8), these results may be spurious and will be treated that way here. Both total and cored SPs were more prevalent in neocortical than hippocampal or entorhinal regions. As shown in Table 3, cored plaques demonstrated a stronger relation to dementia severity (r=0.41 for 3 regions combined) than did total or neuritic plaques, especially in neocortex. Neocortical cored SPs did not increase substantially until the severe stage of the disease. Using a ratio of cored to total plaques in each of the regions did not improve the strength of the relationship to dementia severity. An estimate of diffuse plaque densities was computed by subtracting the number of neuritic plaques from the total plaque densities in the nearby section for each region. These analyses suggested that diffuse plaques were equally prevalent at all stages of severity. When analyses were repeated for only those subjects with pure AD, the results were essentially the same.
For the CDR 3 subjects, the duration of disease in that severe stage ranged from 0.2 to 12.2 years (mean±SD, 3.5±2.9 years). Neocortical NFT densities were significantly correlated with duration in the CDR 3 stage (r=0.30-0.40), but those in hippocampal and entorhinal regions were not (r=0.12 and 0.20). Total SPs in temporal and parietal cortex were correlated with duration in CDR 3 (r=0.29 and 0.33) but not in frontal cortex (r=-0.05) or hippocampal or entorhinal regions (r=-0.03 and 0.08). No correlations of CDR 3 duration with cored or neuritic plaque densities or with the meningeal or parenchymal CAA scores were significant.
OTHER NEUROPATHOLOGIC FEATURES
Mean±SD brain weight for the men who were CDR 3 at death was 1174±146 g, whereas it was 1040±115 g in the women. Brain weight decreased with increasing duration in the CDR 3 stage (r=-0.39 for each sex).
Plaque-predominant AD (PPAD) was identified in 37 subjects (mean±SD age, 83.7±9.6 years at death) of the 120 with complete morphometric analysis listed in Table 3. Plaque-predominant AD was present in a greater proportion of subjects with milder dementia than among those more severely affected (71%, 63%, 29%, and 19% of subjects with CDR 0.5, 1, 2, and 3, respectively) (Mantel-Haenszel 2 [1] =20.361, P<.001). In PPAD, total and neuritic cored and noncored plaque densities in almost all regions examined were significantly lower than in the remaining subjects with AD when severity of dementia was controlled. There was no relation between presence of PPAD and age at death. Of the 36 PPAD cases with antiubiquitin preparations, 22% had cortical LBs. Of the 82 cases of AD that were not plaque-predominant and that were assessed for cortical LBs, 32% were positive. This difference in percentages was not significant. Age did not influence the presence or absence of cortical LBs.
After controlling for duration in the CDR 3 stage, NFT and SP regional densities were higher in the pure AD CDR 3 group than in the various CDR 3 mixed groups (AD+PD, AD+SND, AD+vascular, AD+vascular+PD or SND), as exemplified in Figure 1, Figure 2, and Figure 3. The significant comparisons were for NFTs in each neocortical region as well as hippocampal and entorhinal regions, for parietal total SPs, and for frontal and mean neocortical cored SPs (all P<.05). There were no differences in marker densities among the various mixed AD groups.
apoE GENOTYPE
The numbers of each apoE genotype and the 4 allele frequencies in control and AD-confirmed subjects are given in Table 2. (The 4 allele frequency is the ratio of the number of 4 alleles in a group of persons to the total number of apoE alleles, 2 per person, in that group.) An increase in 4 allele frequency in the AD group is clear. The Mantel-Haenszel 2 was significant (P=.04). The 4 allele frequency in the AD-confirmed group was slightly higher for men than for women (P=.06). It was also related to age at death (F2,163=7.10, P=.001). Average age at death was 84, 80, and 77 years for those with 0, 1, or 2 4 alleles, respectively. Similarly, estimated average age at onset of AD was 75, 70, and 67 years for those with 0, 1, or 2 4 alleles, respectively. Expressed another way, 78% of those with AD onset before 70 years of age but only 28% of those with onset after 80 years had 1 or 2 4 alleles. Continuous estimates of the relationship between 4 allele frequency and age at onset indicated an allele frequency of about 0.6 at age 50 years, declining to about 0.2 at age 85 years and beyond, with little difference between men and women. The increasing 4 allele frequencies across the CDR groups (CDR 0.5 to 3) is related to the decreasing mean ages across the groups (Table 2).
After controlling for dementia severity, hippocampal NFT and SP marker densities were weakly related to 4 allele frequency, sometimes to a degree that reached statistical significance. No significant correlations (P>.05) of 4 allele frequency and NFT or SP densities were obtained in any of the other regions examined. Even among the CDR 3 group alone, the relation between 4 allele frequency and NFT or SP densities was no higher than for the entire AD group. There was no significant difference between younger (age <80 years) and older (age 80 years) subjects in the relation between 4 allele frequency and marker densities. Comparing subjects with no 4 alleles and those with either 1 or 2 4 alleles led to similar results.
Scores for both meningeal and parenchymal CAA in the neocortex were moderately correlated with 4 allele frequency; after controlling for dementia severity, Kendall b correlations were 0.30 and 0.34, respectively, for the combined neocortical regions. This relation was not found in the hippocampal or entorhinal regions examined (all P>.05). The same pattern of correlations was obtained when the sample was restricted to cases with pure AD.
COMMENT
NFT AND SP VS DEMENTIA SEVERITY AND DURATION
The slightly stronger relationship of NFT densities to dementia severity in AD as compared with that of SP densities, and stronger relationship in neocortical than hippocampal or entorhinal regions, are confirmed. The NFT correlations were driven mainly by NFT increases in severe dementia for neocortical NFTs, but by increases in the mild stage for hippocampal and entorhinal NFTs. Neocortical cored plaque densities were substantially related to dementia severity, more so than densities of total plaques or neuritic plaques, of which the cored plaques are a subset. Diffuse plaque densities were not related to degree of dementia. This conclusion is tempered by the recognition that absolute histopathologic criteria for distinguishing among SP subtypes (especially diffuse vs neuritic) are not yet available. For instance, most neocortical "diffuse" SPs in AD can be shown42 to contain PHF-1 immunoreactive dystrophic neurites, a criterion used to recognize neuritic SPs.
In an earlier report,1 there was a substantial relationship of dementia severity and duration to neocortical NFT and cored SP densities but not to neocortical total SP densities. The differences in sample size between the 2 studies may have accounted for the finding of a relationship between neocortical total SP densities and dementia severity in the present report. The consensus in the recent literature is that dementia severity is substantially more likely to be related to NFT than to SP densities.43-51 Hyman and colleagues45 pointed to their evidence that total SP and amyloid burden did not appear to accumulate across the stages of dementia severity in AD (plaque subtypes not examined). Contrary results have been published,47, 52 more in keeping with the pioneering report of Blessed et al.53 Differences in sample size, selection criteria, and histologic methods may well contribute to the continuing controversy. Indeed, intersubject and intrasubject variability reduces the strength of the relationships between lesion densities and dementia severity. Biologic variability is likely to play an important role, but there is still a substantial problem of sampling error in assessing densities of lesions as well as other relevant measures, such as neuronal numbers. We have focused on SPs and NFTs, the hallmarks of AD. They are appropriate for diagnostic criteria but far from ideal as markers of severity of brain dysfunction. Cytoskeletal destabilization54 or loss of synapses55 or critical neuronal populations51, 56 may well be more central to mechanisms of dementia in AD than are SPs or NFTs.
Not surprisingly, additional neuropathologic lesions, such as those of Parkinson disease and infarcts, add to the dementia of AD and, on average, SP and NFT densities for a given degree of dementia are lower in AD mixed with other brain disorders than in pure AD.1, 57-59 Also not surprising is that older subjects with AD at death have somewhat less severe dementia and lower densities of SPs and NFTs, given the likelihood of more frequent fatal comorbidity than is true at younger ages. (The measures of dementia severity chosen for this report were the CDR and its sum of boxes. They are highly correlated with and have performed as well as brief clinical scales or psychometric measures in DAT.60-62)
OTHER NEUROPATHOLOGIC FEATURES
A larger percentage of subjects in the milder than the more severe stages of dementia in this series had PPAD.63 Others have commented that this AD subtype may represent a developmental stage of AD preceding the appearance of more abundant NFTs.17 One can argue, therefore, that the amyloid-containing plaque is a more relevant lesion in early AD.10 The presence of PPAD has been reported to be accompanied by cortical LBs ("Lewy body variant of AD") in most cases,17, 64-65 but the present study failed to confirm that finding.
apoE GENOTYPE
Consistent with many published reports,11, 34, 66-72 this study found an association of apoE 4 with AD and a relationship between apoE 4 alleles and age at AD onset, with 4 more prevalent in those persons having a younger age at onset. There was only a weak male-female difference. An association of the 4 allele with increased -amyloid deposition and numbers of diffuse and neuritic SPs has been noted in reports from several laboratories.13-14,16, 34, 49, 73-74 However, consistent with our results on neocortex, others have noted no effect of 4 on SP numbers in silver preparations75-77 or with -amyloid immunostains.78 In this study, a confounding of age at death with dementia severity and a relation between age at onset and apoE genotype were noted. These factors make the correlation between genotype and SP density complex. In addition, varying methods may contribute to the discrepant results, with -amyloid immunostains more likely than silver methods to show a relationship to 4. In contrast, with thioflavine S we found a major effect of the 4 allele on amyloid angiopathy, consistent with other observations in the literature.14, 57, 79
There was not much power in the study of this sample to examine a possible "protective effect" of apoE 2,66-67,80-81 but we noted a trend to lower NFT and SP densities with 2, even when controlling for 4 alleles and severity of dementia.
CLINICOPATHOLOGIC CORRELATION
In this consecutive series of volunteer subjects, those who were judged clinically to be cognitively healthy (CDR 0) had brains with very few SPs or NFTs, except for 4 subjects with sufficient neocortical SP densities to meet neuropathologic criteria38 for AD, 2 of whom suffered severe craniocerebral trauma shortly before death. The 4 may well have represented true preclinical AD, expected to be present in at least a small proportion of cognitively intact elders. Some might propose for them the term pathologic aging.8 The Consortium to Establish a Registry for Alzheimer's Disease82 designation would have been "possible AD" based on age-adjusted neuritic plaque score and absence of clinical history of dementia.
Subjects judged clinically to show slight cognitive decline (CDR 0.5 or 0/0.5), too mild for standard definitions of dementia, were almost always found to have abundant and widely distributed argyrophilic neocortical SPs. In attempts to detect clinically the mildest and earliest manifestations of AD, it is not surprising that an individual older person may be rated as cognitively healthy by one clinician and in slight cognitive decline by another clinician, as was true in the 1 subject in this series rated CDR 0/0.5 whose brain had no neuropathologic abnormalities. We interpret this as an instance of the diagnosis of incipient DAT, CDR 0/0.5, in error. With 17 of 18 people judged to have slight cognitive decline showing abundant neocortical SPs and 13 of 17 people judged cognitively healthy showing few if any neocortical SPs, we submit that there is validity in 2 conclusions: (1) slight cognitive decline in subjects who meet rigorous exclusion criteria suggests the presence of sufficient AD lesions in the brain to support a diagnosis of AD, and (2) abundant neocortical SPs are likely to be associated with at least slight cognitive decline. These numbers speak to the accuracy of both the clinical diagnostic and neuropathologic criteria for DAT and AD used in this study. The 13 remaining CDR 0 elderly adults whose brains were largely free of AD markers suggest that at least some persons in samples reported by others6-8 to have had plentiful SPs in the absence of dementia would have been rated as having at least incipient dementia by methods used in this study. There is still merit in the 1983 statement of Katzman and Terry that "there should be no question but that the generalization is a very strong one: many plaques and even a few tangles in the neocortex indicate dementia."83
Subjects with CDR 0/0.5 or 0.5 who fail to reach standard criteria for DAT have been discussed by many other groups and have been labeled with various terms, such as mild cognitive impairment28 or cognitive impairment in the nondemented elderly.84 We are adding to evidence10 that minimal cognitive decline signifies that AD is highly likely to be present when no other cause is readily apparent.
Neuropathologic criteria for AD are still subject to periodic review and debate.8, 64, 82, 85-86 One of the relevant issues is the potential importance of SP subtypes, for example, diffuse vs neuritic SP. In other reports,9, 30-31,86 we have commented on the predominance of diffuse over neuritic plaques in very mild AD, whereas the reverse is true in more severe disease. However, uncertainties regarding differentiation of diffuse from neuritic plaques42 suggest caution in evaluating apparent densities of those 2 plaque subtypes. Nevertheless, our data support the utility (for clinicopathologic correlation) of the consensus criteria published by Khachaturian,38 based on neocortical total SP densities.
Subjects in this series who met clinical research criteria for DAT ("probable AD") almost always proved to have AD on histologic examination of their brains; in only 7% was a brain disease other than AD responsible for the dementia. As reviewed elsewhere,87-89 clinical Research Diagnostic Criteria for DAT continue to be highly accurate; rarely non-AD causes are found in persons who fulfill clinical criteria for DAT.90-96 In the present series there were no examples of "tangle-only" AD97 and only 2 instances of diffuse LB disease (lacking SPs).64, 95 The exclusion of persons with signs of parkinsonism preceding cognitive decline18 may explain the rarity of the second category in this series.
CONCLUSION
The results of this study support 5 main conclusions: (1) neocortical NFTs and, to a lesser degree, neocortical total and cored plaque densities are related to dementia severity in AD, but biologic and methodologic variability are important, and better histologic or biochemical markers should be sought for this purpose; (2) PPAD is much more prevalent in the milder than the more severe stages of dementia; (3) advanced age in AD is associated with somewhat lesser severity of dementia at death and lower densities of SPs and NFTs in most regions studied; (4) the robust effect of apoE 4 alleles on SP densities reported by others was not found in this study, despite confirmation of an effect of 4 as a risk factor for AD with onset before age 75 or 80 years and for the development of CAA; and (5) stringent clinical diagnostic criteria for DAT, even in the very mild or "incipient" stage, and neuropathologic criteria for AD based on total SP densities are highly accurate.
AUTHOR INFORMATION
Accepted for publication August 20, 1997.
This work was supported by grants AG03991, AG05681, and AG00634 (Washington University) and AG10130 (Emory University) from the National Institute on Aging, Bethesda, Md, and a grant from Metropolitan Life Foundation, New York, NY.
We thank the other members of the Washington University Alzheimer's Disease Research Center Clinical Core for detailed clinical assessments; Louise Burrell, Deborah Carter, Chris Talbot, Sang Woo Han, and Elizabeth Lakin for fine technical assistance; and Corinne Lendon, PhD, for genotype data management. Faculty of the Washington University Division of Neuropathology offered advice and support. Norma Urani expertly prepared the manuscript.
Reprints: Leonard Berg, MD, Washington University Alzheimer's Disease Research Center, 4488 Forest Park Ave, Suite 130, St Louis, MO 63108-2293 (e-mail: adrcsec{at}neuro.wustl.edu).
From the Alzheimer's Disease Centers of Washington University, St Louis, Mo (Drs Berg, McKeel, Storandt, Rubin, Morris, Goate, and Price, Messrs Miller and Baty, and Mss Coats and Norton); Emory University, Atlanta, Ga (Drs Gearing and Mirra); and Duke University, Durham, NC (Dr Saunders).
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Age, Neuropathology, and Dementia
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NEJM 2009;360:2302-2309.
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Seeded growth of {beta}-amyloid fibrils from Alzheimer's brain-derived fibrils produces a distinct fibril structure
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Proc. Natl. Acad. Sci. USA 2009;106:7443-7448.
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Cerebrospinal Fluid Biomarkers and Rate of Cognitive Decline in Very Mild Dementia of the Alzheimer Type
Snider et al.
Arch Neurol 2009;66:638-645.
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Effect of APOE genotype on amyloid plaque load and gray matter volume in Alzheimer disease
Drzezga et al.
Neurology 2009;72:1487-1494.
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Reviews: Current Concepts in Alzheimer's Disease: A Multidisciplinary Review
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AM J ALZHEIMERS DIS OTHER DEMEN 2009;24:95-121.
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The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals
Dickerson et al.
Cereb Cortex 2009;19:497-510.
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The Role of the Immune System in Alzheimer's Disease
Cohen
Focus 2009;7:28-35.
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Cognitive profiles in dementia: Alzheimer disease vs healthy brain aging
Johnson et al.
Neurology 2008;71:1783-1789.
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Alzheimer Disease and Cognitive Reserve: Variation of Education Effect With Carbon 11-Labeled Pittsburgh Compound B Uptake
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Arch Neurol 2008;65:1467-1471.
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Cardiorespiratory fitness and brain atrophy in early Alzheimer disease
Burns et al.
Neurology 2008;71:210-216.
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Distinct Pools of {beta}-Amyloid in Alzheimer Disease-Affected Brain: A Clinicopathologic Study
Steinerman et al.
Arch Neurol 2008;65:906-912.
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Variation in MAPT is associated with cerebrospinal fluid tau levels in the presence of amyloid-beta deposition
Kauwe et al.
Proc. Natl. Acad. Sci. USA 2008;105:8050-8054.
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Education and Reported Onset of Symptoms Among Individuals With Alzheimer Disease
Roe et al.
Arch Neurol 2008;65:108-111.
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Brain Volume Decline in Aging: Evidence for a Relation Between Socioeconomic Status, Preclinical Alzheimer Disease, and Reserve
Fotenos et al.
Arch Neurol 2008;65:113-120.
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Caregiver Perspectives on Safety in Home Dementia Care
Lach and Chang
West J Nurs Res 2007;29:993-1014.
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The Power of Personality in Discriminating Between Healthy Aging and Early-Stage Alzheimer's Disease
Duchek et al.
Journals of Gerontology Series B: Psychological Sciences and Social Science 2007;62:P353-P361.
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Peripheral ethanolamine plasmalogen deficiency: a logical causative factor in Alzheimer's disease and dementia
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J. Lipid Res. 2007;48:2485-2498.
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PIB is a non-specific imaging marker of amyloid-beta (A{beta}) peptide-related cerebral amyloidosis
Lockhart et al.
Brain 2007;130:2607-2615.
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Leonard Berg, MD (1927 2007)
Morris and Landau
Neurology 2007;69:1206-1207.
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Peripheral insulin and brain structure in early Alzheimer disease
Burns et al.
Neurology 2007;69:1094-1104.
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Statin therapy is associated with reduced neuropathologic changes of Alzheimer disease
Li et al.
Neurology 2007;69:878-885.
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Hippocampal Shape Analysis of Alzheimer Disease Based on Machine Learning Methods
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Am. J. Neuroradiol. 2007;28:1339-1345.
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Dementia and Comorbidities: An Overview of Diagnosis and Management
Swanson and Carnahan
Journal of Pharmacy Practice 2007;20:296-317.
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Evaluation of Cognitive Impairment in Older Adults: Combining Brief Informant and Performance Measures
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Arch Neurol 2007;64:718-724.
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Clinical and Psychometric Distinction of Frontotemporal and Alzheimer Dementias
Liscic et al.
Arch Neurol 2007;64:535-540.
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Early-Onset Alzheimer's Disease Is Associated With Greater Pathologic Burden
Marshall et al.
J Geriatr Psychiatry Neurol 2007;20:29-33.
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Utility of the Clinical Dementia Rating in Asian Populations
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Clin Med Res 2007;5:61-70.
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Cerebrospinal Fluid tau/beta-Amyloid42 Ratio as a Prediction of Cognitive Decline in Nondemented Older Adults
Fagan et al.
Arch Neurol 2007;64:343-349.
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Amyloid, hypometabolism, and cognition in Alzheimer disease: An [11C]PIB and [18F]FDG PET study
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Neurology 2007;68:501-508.
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Education and Alzheimer disease without dementia: Support for the cognitive reserve hypothesis
Roe et al.
Neurology 2007;68:223-228.
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Survival and mortality differences between dementia with Lewy bodies vs Alzheimer disease
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Neurology 2006;67:1935-1941.
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Validity and reliability of the AD8 informant interview in dementia
Galvin et al.
Neurology 2006;67:1942-1948.
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CSF phosphorylated tau protein correlates with neocortical neurofibrillary pathology in Alzheimer's disease
Buerger et al.
Brain 2006;129:3035-3041.
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Quantitative MR Imaging in Alzheimer Disease
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Radiology 2006;241:26-44.
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Accelerated weight loss may precede diagnosis in Alzheimer disease.
Johnson et al.
Arch Neurol 2006;63:1312-1317.
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[11C]PIB in a nondemented population: Potential antecedent marker of Alzheimer disease
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Neurology 2006;67:446-452.
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Longitudinal course and neuropathologic outcomes in original vs revised MCI and in pre-MCI
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Neurology 2006;67:467-473.
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Dissociation of neuropathology from severity of dementia in late-onset Alzheimer disease
Prohovnik et al.
Neurology 2006;66:49-55.
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The Neuropathology of Alzheimer Disease in African American and White Individuals
Wilkins et al.
Arch Neurol 2006;63:87-90.
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Driving Cessation in Older Adults With Dementia of the Alzheimer's Type
Carr et al.
Gerontologist 2005;45:824-827.
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White Matter Lesions Are Prevalent but Differentially Related With Cognition in Aging and Early Alzheimer Disease
Burns et al.
Arch Neurol 2005;62:1870-1876.
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Comparative Proteomic Analysis of Intra- and Interindividual Variation in Human Cerebrospinal Fluid
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Mol. Cell. Proteomics 2005;4:2000-2009.
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Verbal and visuospatial deficits in dementia with Lewy bodies
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Neurology 2005;65:1232-1238.
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Driving and Dementia of the Alzheimer Type: Beliefs and Cessation Strategies Among Stakeholders
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Gerontologist 2005;45:676-685.
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Acute {gamma}-Secretase Inhibition Improves Contextual Fear Conditioning in the Tg2576 Mouse Model of Alzheimer's Disease
Comery et al.
J. Neurosci. 2005;25:8898-8902.
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Amyloid mediates the association of apolipoprotein E e4 allele to cognitive function in older people
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J. Neurol. Neurosurg. Psychiatry 2005;76:1194-1199.
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Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory
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J. Neurosci. 2005;25:7709-7717.
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The AD8: A brief informant interview to detect dementia
Galvin et al.
Neurology 2005;65:559-564.
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Frontal-Hippocampal Double Dissociation Between Normal Aging and Alzheimer's Disease
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Cereb Cortex 2005;15:732-739.
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Predictors of Preclinical Alzheimer Disease and Dementia: A Clinicopathologic Study
Galvin et al.
Arch Neurol 2005;62:758-765.
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The pathology of the substantia nigra in Alzheimer disease with extrapyramidal signs
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Neurology 2005;64:1397-1403.
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Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD
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Neurology 2005;64:1032-1039.
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Alzheimer disease and cancer
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Neurology 2005;64:895-898.
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Personality Change Precedes Clinical Diagnosis of Dementia of the Alzheimer Type
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Journals of Gerontology Series B: Psychological Sciences and Social Science 2005;60:P98-P101.
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Metabolic interaction between ApoE genotype and onset age in Alzheimer's disease: implications for brain reserve
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J. Neurol. Neurosurg. Psychiatry 2005;76:15-23.
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MCI conversion to dementia and the APOE genotype: A prediction study with FDG-PET
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Neurology 2004;63:2332-2340.
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Combining Correlated Diagnostic Tests: Application to Neuropathologic Diagnosis of Alzheimer's Disease
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Med Decis Making 2004;24:659-669.
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Progressive posterior cortical dysfunction: A clinicopathologic series
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Neurology 2004;63:1175-1180.
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Absence of Effect of Depression on Cognitive Performance in Early-Stage Alzheimer Disease
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Arch Neurol 2004;61:1265-1268.
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Thinning of the Cerebral Cortex in Aging
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Cereb Cortex 2004;14:721-730.
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Impact of APOE genotype on neuropathologic and neurochemical markers of Alzheimer disease
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Neurology 2004;62:1977-1983.
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The importance of neuritic plaques and tangles to the development and evolution of AD
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Neurology 2004;62:1984-1989.
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Alzheimer disease without neocortical neurofibrillary tangles: "A second look"
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Neurology 2004;62:1141-1147.
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Differential Vulnerability of Anterior White Matter in Nondemented Aging with Minimal Acceleration in Dementia of the Alzheimer Type: Evidence from Diffusion Tensor Imaging
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Cereb Cortex 2004;14:410-423.
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Contribution of cerebral amyloid angiopathy to Alzheimer's disease
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J. Neurol. Neurosurg. Psychiatry 2004;75:1-4.
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Understanding of informed consent by demented individuals
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Neurology 2003;61:1662-1666.
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Labeled cortical mantle distance maps of the cingulate quantify differences between dementia of the Alzheimer type and healthy aging
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Proc. Natl. Acad. Sci. USA 2003;100:15172-15177.
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Essentials of the Proper Diagnoses of Mild Cognitive Impairment, Dementia, and Major Subtypes of Dementia
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Mayo Clin Proc. 2003;78:1290-1308.
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Clinical outcomes of possible versus probable Alzheimer's disease
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Neurology 2003;61:661-667.
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Accelerated Memory Decline in Alzheimer's Disease With Apolipoprotein {epsilon}4 Allele
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J. Neuropsychiatry Clin. Neurosi. 2003;15:354-358.
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Silent Brain Infarcts and the Risk of Dementia and Cognitive Decline
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NEJM 2003;348:1215-1222.
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Alzheimer Disease: Current Concepts and Emerging Diagnostic and Therapeutic Strategies
Clark and Karlawish
ANN INTERN MED 2003;138:400-410.
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Novel Role for Apolipoprotein E in the Central Nervous System. MODULATION OF SULFATIDE CONTENT
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J. Biol. Chem. 2003;278:8043-8051.
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APOE E4 is a determinant for Alzheimer type pathology in progressive supranuclear palsy
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Neurology 2003;60:240-245.
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Apolipoprotein E {epsilon}4 allele, AD pathology, and the clinical expression of Alzheimer's disease
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Neurology 2003;60:246-252.
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Familial dementia with Lewy bodies: Clinicopathologic analysis of two kindreds
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Neurology 2002;59:1079-1082.
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The clock drawing test is a poor screen for very mild dementia
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Neurology 2002;59:898-903.
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Visual hallucinations in Lewy body disease relate to Lewy bodies in the temporal lobe
Harding et al.
Brain 2002;125:391-403.
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Amyloid precursor protein in platelets: A peripheral marker for the diagnosis of sporadic AD
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Neurology 2001;57:2243-2248.
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Apolipoprotein E {epsilon}4 and the pattern of regional brain atrophy in Alzheimer's disease
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Neurology 2001;57:1461-1466.
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Preclinical syndromes predict dementia: the Sydney older persons study
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J. Neurol. Neurosurg. Psychiatry 2001;71:296-302.
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Neuron Number in the Entorhinal Cortex and CA1 in Preclinical Alzheimer Disease
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Arch Neurol 2001;58:1395-1402.
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Practice parameter: Diagnosis of dementia (an evidence-based review): Report of the Quality Standards Subcommittee of the American Academy of Neurology
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Neurology 2001;56:1143-1153.
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Cerebrospinal Fluid {beta}-Amyloid and Tau Proteins for the Diagnosis of Alzheimer Disease
Knopman
Arch Neurol 2001;58:349-350.
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Mild Cognitive Impairment Represents Early-Stage Alzheimer Disease
Morris et al.
Arch Neurol 2001;58:397-405.
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Absence of cognitive impairment or decline in preclinical Alzheimer's disease
Goldman et al.
Neurology 2001;56:361-367.
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Early DAT is distinguished from aging by high-dimensional mapping of the hippocampus
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Neurology 2000;55:1636-1643.
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Effect of APOE genotype and promoter polymorphism on risk of Alzheimer's disease
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Neurology 2000;55:1644-1649.
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Increased Neocortical Neurofibrillary Tangle Density in Subjects With Alzheimer Disease and Psychosis
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Arch Gen Psychiatry 2000;57:1165-1173.
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Dementia, Quantitative Neuroimaging, and Apolipoprotein E Genotype
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Am. J. Neuroradiol. 2000;21:1857-1868.
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""Preclinical"" AD revisited: Neuropathology of cognitively normal older adults
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Neurology 2000;55:370-376.
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Diabetes and Change in Cognitive Function
Bennett
Arch Intern Med 2000;160:141-143.
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The Oregon Brain Aging Study: Neuropathology accompanying healthy aging in the oldest old
Green et al.
Neurology 2000;54:105-105.
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Metrifonate treatment of AD: Influence of APOE genotype
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Neurology 1999;53:2010-2010.
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