Literature DB >> 31862783

β-Amyloid PET and neuropathology in dementia with Lewy bodies.

Kejal Kantarci1, Val J Lowe2, Qin Chen2, Scott A Przybelski2, Timothy G Lesnick2, Christopher G Schwarz2, Matthew L Senjem2, Jeffrey L Gunter2, Clifford R Jack2, Jonathan Graff-Radford2, David T Jones2, David S Knopman2, Neill Graff-Radford2, Tanis J Ferman2, Joseph E Parisi2, Dennis W Dickson2, Ronald C Petersen2, Bradley F Boeve2, Melissa E Murray2.   

Abstract

OBJECTIVE: β-Amyloid (Aβ) pathology is common in patients with probable dementia with Lewy bodies (DLB). However, the pathologic basis and the differential diagnostic performance of Aβ PET are not established in DLB. Our objective was to investigate the pathologic correlates of 11C-Pittsburgh compound B(PiB) uptake on PET in cases with antemortem diagnosis of probable DLB or Lewy body disease (LBD) at autopsy.
METHODS: Autopsied cases who underwent antemortem PiB-PET and were assigned a clinical diagnosis of probable DLB or LBD at autopsy were included (n = 39). The primary endpoint was pathologic diagnosis of LBD, Alzheimer disease (AD), or mixed (LBD and AD) pathology; the secondary endpoints included Thal Aβ phase and diffuse and neuritic Aβ plaques.
RESULTS: Lower global cortical PiB standardized uptake value ratio (SUVr) distinguished cases with LBD from cases with AD or mixed pathology with an accuracy of 93%. Greater global cortical PiB SUVr correlated with higher Thal Aβ phase (r = 0.75, p ≤ 0.001). Voxel-based analysis demonstrated that Aβ pathology relatively spared the occipital lobes in cases with mixed pathology and LBD compared to cases with AD without LBD, in whom the entire cerebral cortex was involved. Global cortical PiB SUVr was associated primarily with the abundance of diffuse Aβ plaques in cases with LBD in a multivariable regression model.
CONCLUSION: Lower PiB uptake accurately distinguishes cases with LBD from cases with AD or mixed pathology, correlating with the Thal Aβ phase. The severity of diffuse Aβ pathology is the primary contributor to elevated PiB uptake in LBD. CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that lower PiB uptake accurately distinguishes patients with LBD from those with AD or mixed pathology.
Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.

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Year:  2019        PMID: 31862783      PMCID: PMC7108811          DOI: 10.1212/WNL.0000000000008818

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   11.800


Alzheimer disease (AD) pathology, particularly β-amyloid (Aβ) pathology, is common in patients with Lewy body disease (LBD) at autopsy.[1-3] In keeping with that, more than half of the patients with probable dementia with Lewy bodies (pDLB) have elevated Aβ on PET scan.[4] Investigation of the neuropathologic basis of Aβ PET findings in patients with pDLB or autopsy-confirmed LBD without AD is limited to single case studies or case series.[5-8] Neuritic plaques (NPs) comprised primarily of Aβ40 are a pathologic feature of AD and serve as the primary contributor to positive Aβ PET scans in cohorts with AD dementia.[9-15] Diffuse plaques (DPs) comprised primarily of Aβ42 are common in normal aging, often occurring in the absence of neurofibrillary tangle (NFT)–tau pathology. DPs are typically abundant in patients with LBD.[16] A subset of patients with LBD also have NPs with tau in the NP core, which are not readily distinguishable from DPs with Aβ PET and may lead to some inconsistencies in the determination of AD-related pathology in patients with pDLB.[5,6,17,18] Understanding the pathologic basis of Aβ PET findings in LBD is critical for using Aβ PET as a biomarker of AD pathology in patients with pDLB and has particular relevance for the patient selection for clinical trials designed to target AD-related Aβ deposition. One of the most widely investigated Aβ PET ligands is 11C-Pittsburgh compound B (PiB). PiB-PET and autopsy correlation studies consistently indicate that PiB exclusively binds to the β-pleated sheet of the amyloid protein present in NP and DP in the cortical gray matter and the Aβ deposits in the vessel walls.[10,17-19] Because the Aβ content varies across plaques and vascular deposits, PiB binding to DP and vascular deposits may be less prominent than to NP.[17] Similar variations in ligand binding have also been observed with 18F-labeled Aβ PET ligands.[9,13,15] Thus, there may be disagreement between the Aβ PET findings and neuropathologic diagnosis of AD in some patients with pDLB who have differential levels of DP and NP pathology.[6,8] In the current study, we investigated the pathologic basis of PiB-PET findings in clinically diagnosed patients with pDLB or cases who were found to have LBD at autopsy. Our objectives were (1) to determine the distribution of Aβ pathology and the optimal cutoff value to differentiate cases with AD or mixed AD and LBD pathology from cases with LBD with low or no AD pathology,[20] (2) to determine the correlation of antemortem PiB-PET with the Thal Aβ phase at autopsy, and (3) to determine the contribution of NP and DP to PiB-PET findings in cases with LBD.

Methods

Participants

Participants of this study were from 2 longitudinal cohorts: the Mayo Clinic Alzheimer's Disease Research Center and Mayo Clinic Study of Aging, which is a population-based cohort from Olmstead County, Minnesota.[21] From these 2 cohorts, we studied participants who underwent antemortem PiB-PET imaging along with an MRI examination and autopsy at the Alzheimer's Disease Research Center Neuropathology Core from 2006 to 2018 (n = 189), and we included participants diagnosed with pDLB according to 3rd Consortium Criteria[22] at any time during their longitudinal clinical evaluation or who were diagnosed as having LBD at autopsy (n = 39). We used the 3rd rather than 4th Consortium Criteria for the clinical diagnosis of pDLB because all clinical evaluations occurred before the publication of the 4th Consortium Criteria.[20] Cases with additional AD or vascular disease pathology were not excluded. Clinical assessments were detailed in previous reports from these cohorts.[21,23] Briefly, the presence of parkinsonism was determined from a Unified Parkinson's Disease Rating Scale Part III score >4. Visual hallucinations were characterized by being fully formed, were not restricted to a single episode, and were not related to another medical issue, treatment, or advanced dementia. Fluctuations were considered to be present if the patient scored 3 to 4 on the 4-item Mayo Fluctuations Scale.[24] Probable REM sleep behavior disorder (pRBD) met the International Classification of Sleep Disorders-II diagnostic criteria B for pRBD.[25] The clinical assessments were performed without any access to PiB-PET results.

Pathologic examination

Standardized methods were used for the neuropathologic assessment by expert neuropathologists (M.E.M., D.W.D., and J.E.P.) blinded to PiB-PET results. Sampling was done according to the Consortium to Establish a Registry for Alzheimer's Disease protocol[26] and the 4th Report of the DLB Consortium.[20] Lewy body pathology was immunohistochemically evaluated with the NACP antibody (1:3000, rabbit polyclonal; Mayo Clinic's antibody) using a protocol (formic acid pretreatment and DAKO [Agilent Technologies, Santa Clara, CA] DAB polymer signal detection) that has been shown to be comparable to or better than other methods.[27] The presence, density, semiquantitative scores, and distribution of Lewy body–related pathology followed recommendations of the 4th Report of the DLB Consortium.[20] Aβ plaques and NFTs were evaluated with a modified Bielschowsky silver stain or thioflavin-S, as recommended by National Institute on Aging–Alzheimer's Association (NIA-AA) criteria.[28,29] As previously described,[14] thioflavin-S microscopy was used to assign Thal amyloid phase.[30] The NP score was determine by a 4-point semiquantitative assessment: 0 = none, 1 = sparse, 2 = moderate, and 3 = frequent. Aβ immunohistochemistry in the neocortex, hippocampus, basal ganglia, and cerebellum was used to assign Thal amyloid phase as follows: phase 1 = neocortex, phase 2 = CA1/subiculum, phase 3 = basal ganglia or dentate fascia of the hippocampus, phase 4 = midbrain or CA4 of the hippocampus, and phase 5 = cerebellum. DPs were scored as 0 = none, 1 = sparse, 2 = moderate, or 3 = frequent, according to National Alzheimer Coordinating Center neuropathology guidelines.[31] The distribution of NFT-tau pathology was used to assign a Braak NFT stage.[32] We applied the label of AD only to cases who met the intermediate or high AD designations in the NIA-AA criteria.[28,29] Cases with intermediate- or high-likelihood DLB (according to the 4th Report of the DLB Consortium Criteria) who had low AD pathology (according to the NIA-AA criteria) were classified as LBD; cases with intermediate- or high-likelihood DLB and intermediate or high AD pathology were classified as having mixed LBD-AD pathology; and cases with intermediate or high AD and no LBD pathology or low-likelihood DLB were classified as having AD.

MRI and PiB-PET imaging

MRI examinations were performed at 3T (GE Healthcare, Chicago, IL). A 3D high-resolution magnetization-prepared rapid gradient echo acquisition with ≈1-mm cubic resolution was obtained for anatomic segmentation and labeling. PET/CT scanners (GE Healthcare) operating in 3D mode were used to acquire PET images. Patients were injected with an average of 596 MBq (range 292–729 MBq) 11C-PiB. After a 40-minute 11C-PiB uptake period, a 20-minute PiB scan consisting of four 5-minute dynamic frames was obtained.

PiB-PET image analysis

PiB-PET image analysis was performed with an automated image processing pipeline, which included rigid registration of the PET image volumes to each subject's own 3D T1-weighted MRI using SPM12. MRIs were segmented with Unified Segmentation in SPM12 with population-optimized priors and settings from the Mayo Clinic Adult Lifespan Template (MCALT). Regional cortical uptake of PiB was determined with the MCALT_ADIR122 atlas.[33] The global cortical PiB retention standardized uptake value ratio (SUVr) was obtained from the bilateral parietal (including posterior cingulate and precuneus), temporal, prefrontal, orbitofrontal, and anterior cingulate regions referenced to the cerebellar crus region as previously described.[34] PiB SUVr in each voxel was referenced to the median value of the right and left cerebellar crus uptake. A voxel-based analysis was conducted in the MCALT space using SPM12 comparing PiB SUVr in the LBD group to those of both the mixed LBD-AD and AD groups. Maps of these comparisons were displayed at the p < 0.05 level. Correction for multiple comparisons was applied with false discovery rate error correction.

Statistical analysis

Characteristics of the subjects were described by means and SDs for continuous variables and counts and percentages for categorical variables. Differences in characteristics of the 3 groups were evaluated with 1-way analysis of variance or χ2 tests. Contrasts were used with the analyses of variance to compare Mini-Mental State Examination (MMSE) scores for AD vs LBD and LBD-AD and for LBD-AD vs LBD. To compare global cortical PiB SUVr for LBD vs LBD-AD and AD, we calculated the area under the receiver operating curve, sensitivity, specificity, and accuracy. A Pearson correlation adjusted for time from MRI to death was used to describe and test for an association of Thal Aβ phase with global cortical PiB SUVr. We used a multiple linear regression model to examine whether NP, DP, or their interaction contributed to the global cortical PiB SUVr after adjusting for time from MRI to death.

Classification of evidence

The primary research question was to determine the distribution of Aβ pathology and the optimal cutoff value to differentiate cases with AD or mixed AD and LBD pathology from cases with LBD with low or no AD pathology. This study provides Class III evidence for distinguishing patients with LBD from those AD or mixed pathology using PiB SUVr.

Data availability

Anonymized data not published within this article will be made available by request from any qualified investigator.

Results

Clinical and pathologic characteristics of the cohort

Characteristics of the cohort classified by the pathologic group are listed in the table. The pathologic groups did not differ in age at imaging or death, time from imaging to death, APOE ε4 status, or the Clinical Dementia Rating Sum of Boxes score at the time of imaging, but the frequency of women was higher in the LBD-AD (47%) group than in either the LBD (0%) or the AD (17%) group. Furthermore, the AD group on average had lower MMSE scores than the LBD or LBD-AD groups (p < 0.01). Whereas all cases in the LBD and AD groups had parkinsonism at the time of imaging, the frequency was lower in the LBD-AD (56%) group. Similarly, all cases in the LBD group had pRBD at the time of imaging, but frequencies were lower in the LBD-AD (69%) and AD (17%) groups. Visual hallucinations were observed more frequently in the LBD (77%) and LBD-AD (62%) groups than the AD (17%) group, but there were no differences in the frequency of fluctuations. According to the clinical evaluation, there were cases with mild cognitive impairment (n = 2) and cognitively unimpaired cases both in the LBD group (n = 2) and in the LBD-AD group (n = 2). One of the cases with mild cognitive impairment had parkinsonism. All patients with a clinical diagnosis of pDLB had either LBD (10 of 19, 53%) or mixed LBD and AD pathology at autopsy (9 of 19, 47%). On the other hand, a majority of patients with a clinical diagnosis of AD dementia who also fulfilled the clinical criteria for pDLB had AD pathology with no LBD (6 of 8, 75%). Thus, the accuracy of identifying LBD significantly decreased in the setting of AD dementia diagnosis. There were cases in the LBD-AD group (n = 7) who were diagnosed with probable AD dementia and did not fulfill the clinical criteria for pDLB antemortem, even though they had intermediate- or high-likelihood LBD pathologically.
Table

Demographic, clinical, and pathologic characteristics of the cohorta

Demographic, clinical, and pathologic characteristics of the cohorta Pathologically, the LBD and LBD-AD groups were composed of cases with transitional or diffuse LBD, and the AD group had 4 cases without Lewy body pathology and 2 cases with amygdala-only Lewy body pathology, who were classified in the AD group because they had low-likelihood LBD with high AD pathology according to the 4th Consortium Criteria. As expected, the average Braak NFT stage and the Thal Aβ phase increased from the LBD to the LBD-AD and AD groups. Whereas none of the LBD cases had frequent NP and only 21% had moderate NP, 64% of the LBD cases had moderate to frequent DP. Thus, DP was far more abundant than NP in the LBD group. Three cases in the AD group and 3 cases in the LBD group had infarcts. Cerebral amyloid angiopathy (CAA) was observed in 2 cases in the LBD group and 1 case in the LBD-AD group.

PiB-PET findings in the pathologic groups

The voxel-based regional differences in PiB SUVr among the pathologic groups are displayed in figure 1. The AD group had greater PiB uptake in the entire cortex compared to the LBD group, while the uptake in the occipital cortex and the primary sensory and motor cortices was relatively spared in the LBD group compared to the LBD-AD group. The occipital cortex showed the greatest PiB uptake in the AD group compared to the LBD-AD group (p < 0.05) after correction for false discovery rate error.
Figure 1

Voxel-based analysis comparing 11C-Pittsburgh compound B-PET standardized uptake value ratio in the LBD, mixed LBD-AD, and AD groups

Maps of these comparisons were displayed at the p < 0.05 level with the t values displayed in the color bar. Correction for multiple comparisons was applied with false discovery rate error correction. AD = Alzheimer disease; LBD = Lewy body disease.

Voxel-based analysis comparing 11C-Pittsburgh compound B-PET standardized uptake value ratio in the LBD, mixed LBD-AD, and AD groups

Maps of these comparisons were displayed at the p < 0.05 level with the t values displayed in the color bar. Correction for multiple comparisons was applied with false discovery rate error correction. AD = Alzheimer disease; LBD = Lewy body disease. Figure 2A shows the differences in global cortical PiB uptake among the pathologic groups. In this cohort, global cortical PiB SUVr completely separated the AD and LBD pathologic groups from each other. The global cortical PiB SUVr distinguished cases with intermediate to high AD (i.e., LBD-AD and AD groups) from cases with LBD with low AD with 80% sensitivity, 86% specificity, and 93% accuracy (i.e., area under the receiver operating characteristic curve). The highest accuracy (93%) in distinguishing the 2 groups was at the cutoff PiB SUVr value of 1.88, which corresponds to the centiloid value of 56.74. Global cortical PiB SUVr correlated with the Thal Aβ phase in the entire cohort after adjustment for the time between imaging and death (r = 0.75, p < 0.001) (figure 2B).
Figure 2

Global cortical PiB SUVr in pathologic groups

Differences in global cortical 11C-Pittsburgh compound B (PiB) standardized uptake value ratio (SUVr) among (A) the pathologic groups and (B) Thal β-amyloid phases are displayed. AD = Alzheimer disease; LBD = Lewy body disease.

Global cortical PiB SUVr in pathologic groups

Differences in global cortical 11C-Pittsburgh compound B (PiB) standardized uptake value ratio (SUVr) among (A) the pathologic groups and (B) Thal β-amyloid phases are displayed. AD = Alzheimer disease; LBD = Lewy body disease.

PiB-PET findings and β-amyloid plaques in cases with LBD

Because one of our objectives was to determine the contribution of NP and DP to PiB-PET findings in cases with LBD, we included only cases with LBD and LBD-AD (n = 33) and excluded cases in the AD group (n = 6) from this analysis. Cases with no DP (n = 4) were combined with cases with sparse DP (n = 2); similarly, cases with no NP (n = 2) were combined with cases with sparse NP (n = 12) due to small numbers in either group. PiB SUVr completely separated the LBD cases with no/sparse DP from those with frequent DP. There were 4 (25%) cases with no/sparse NP who had high PiB SUVr levels (>1.98), and these cases overlapped with the PiB SUVr of the cases with frequent NP. All 4 of these cases also had frequent DP. Another outlier was in the moderate NP group. This case had one of the lowest PiB SUVrs in the entire cohort and had moderate NP but no DP. Figure 3 shows the PiB SUVr values in cases with no/sparse to moderate to frequent NP and DP. In a multivariable model, we investigated the contribution of NP and DP levels to PiB SUVr and found that the PiB SUVr is driven primarily by the abundance of DP but not NP in the LBD and LBD-AD cases. The results of the multivariable model and the bar plot of average PiB SUVR when the NP and the DP categories are combined are presented in figure 4.
Figure 3

Global cortical PiB SUVr and β-amyloid plaques

Differences in global cortical 11C-Pittsburgh compound B (PiB) standardized uptake value ratio (SUVr) among cases with (A) diffuse and (B) neuritic β-amyloid plaques.

Figure 4

Contribution of neuritic and diffuse β-amyloid plaques to PiB SUVr in LBD

The 3D bar graph shows the average 11C-Pittsburgh compound B (PiB) standardized uptake value ratio (SUVr) when the neuritic and diffuse plaque categories are combined. This analysis was only done among the cases with Lewy body disease (LBD) and those with LBD–Alzheimer disease (n = 33).

Global cortical PiB SUVr and β-amyloid plaques

Differences in global cortical 11C-Pittsburgh compound B (PiB) standardized uptake value ratio (SUVr) among cases with (A) diffuse and (B) neuritic β-amyloid plaques.

Contribution of neuritic and diffuse β-amyloid plaques to PiB SUVr in LBD

The 3D bar graph shows the average 11C-Pittsburgh compound B (PiB) standardized uptake value ratio (SUVr) when the neuritic and diffuse plaque categories are combined. This analysis was only done among the cases with Lewy body disease (LBD) and those with LBD–Alzheimer disease (n = 33).

Discussion

In a prospective cohort of patients with pDLB and autopsy-confirmed LBD cases who underwent antemortem PiB-PET examinations, global cortical PiB SUVr accurately distinguished cases with LBD from those with AD or mixed LBD and AD pathology, correlating with the Thal Aβ phase. Cortical PiB SUVr was lower in the occipital cortices in cases with LBD compared to mixed LBD and AD pathology and in mixed LBD and AD pathology compared to cases with AD on voxel-based analysis. Furthermore, the severity of DP was the primary contributor to global cortical PiB SUVr in cases with LBD or mixed LBD and AD pathology. In agreement with earlier autopsy studies of LBD, more than half of the cases we studied had coexisting AD-related pathology consisting of NPs and NFT-tau. All of the cases in the LBD group were men, and approximately half of the cases in the LBD-AD group were women, suggesting that women with LBD are more likely to have mixed LBD and AD-related pathology. This sex difference in pathologic involvement requires further investigation. As expected, cortical PiB SUVr was higher in the LBD-AD compared to the LBD group and in the AD compared to the LBD-AD group. Furthermore, cortical PiB SUVr completely separated the AD and LBD groups from each other. The topographic distribution of elevated cortical PiB SUVr followed a pattern that relatively spared the occipital cortices in the LBD compared to the LBD-AD group, and more significant involvement of the occipital cortices was observed in the AD compared to the LBD-AD group. This hierarchical pattern of relative sparing of the occipital cortices at lower levels of Aβ points out that those occipital lobe findings could contribute to the pathologic assessment and staging of Aβ pathology in cases with LBD. Elevated occipital cortex PiB SUVr has been associated with CAA.[19] However, in this cohort, the only 2 cases with CAA were in the LBD group. Therefore, it is not possible to explain the relative sparing of the occipital cortex with the absence of CAA in cases with LBD. On the other hand, the relative sparing of the occipital cortex from Aβ pathology in cases with LBD may be influenced by pathophysiologic processes that characterize LBD.[16] For example, patients with pDLB are characterized by hypometabolism in the occipital lobes[35] and degeneration in the temporal-occipital projections that are associated with visual hallucinations.[36] Thus, lower levels of Aβ pathology occur in a region that is functionally disrupted in patients with pDLB. This counterintuitive finding may be explained by mechanisms that lead to relative sparing of certain regions of the brain from the Aβ pathology. It was proposed that Aβ tends to deposit in regions showing continuous levels of heightened synaptic activation and plasticity.[37] In patients with LBD, synaptic plasticity is impaired due to Lewy neurites in the presynaptic terminals, and the occipital cortex is one of the regions affected. Moreover, to the extent that hypometabolism on PET is associated with synaptic integrity in LBD, the occipital cortex appears to be affected the most. Another and possibly related explanation may be the differences in Aβ plaque content (i.e., more abundant DP than NP) in patients with LBD. Whether relative sparing of occipital cortex from Aβ pathology is associated with higher levels of DP compared to NP in LBD needs to be investigated with quantitative pathologic assessment in samples from the occipital neocortex. Elevated Aβ on PET scan is a common feature of pDLB, observed in up to 60% of patients with pDLB.[4,5,23,38,39] Case reports demonstrated significant DP load contributing to elevated PiB SUVr, in some cases in the absence of additional AD-related pathology and the pathologic diagnosis of AD.[6-8] In the current study, the primary determinant of PiB SUVr was the abundance of DP. In the absence of DP, NP was not a major contributor to PiB SUVr. Because frequent DP with low AD pathology is a distinct feature of LBD pathophysiology, higher PiB SUVr cutoff values may be needed for the classification of patients with pDLB who would qualify for the pathologic diagnosis of AD. In our cohort, a PiB SUVr value of 1.88, which corresponds to a centiloid value of 56.74, accurately distinguished the presence of intermediate to high AD according to the NIA-AA criteria. However, we note that a few cases with abundant DP and low AD pathology had higher PiB SUVr and a case with sparse DP, moderate NP, and intermediate AD had lower PiB SUVr than this cutoff value. Whether the frequent DP and low AD pathology in LBD would evolve into AD is unknown. However, there is an association between the AV-1451 uptake and global cortical PiB SUVr in pDLB, suggesting that patients with pDLB with higher levels of Aβ also accumulate more tau pathology.[1] One limitation of this study that is common to all antemortem imaging and pathology correlation studies is that the time interval from the PET scan to death varied across individuals. Although no difference was found among the clinical groups and all analyses were adjusted for the length of this time interval, findings in individual patients should be interpreted with caution. Furthermore, one of the challenges in autopsy studies is the inclusion of cases with late-stage dementia. Hence, the subset of participants who were pathologically diagnosed as AD had very low MMSE scores. With evolving Aβ–modifying therapies in patients within the AD spectrum, the inclusion of patients with pDLB, in whom Aβ influences disease progression and survival,[1,2,40-43] is becoming a possibility in some trials targeting Aβ. Many patients with pDLB would be classified as A+ T− N− according to the NIA-AA research framework,[44] in part due to an abundance of DP. Whether modifying DP would influence disease progression in pDLB remains to be seen. However, with the use of a high cutoff for Aβ PET positivity, it is possible to accurately identify patients with pDLB who also have NP as part of intermediate to high AD pathology. This study provides the validation needed to identify patients with pDLB with AD-related pathology on the basis of Aβ PET.
  42 in total

Review 1.  Dementia with Lewy bodies: neuropathology.

Authors:  Dennis W Dickson
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2.  Imaging of amyloid burden and distribution in cerebral amyloid angiopathy.

Authors:  Keith A Johnson; Matt Gregas; John A Becker; Catherine Kinnecom; David H Salat; Erin K Moran; Erin E Smith; Jonathan Rosand; Dorene M Rentz; William E Klunk; Chester A Mathis; Julie C Price; Steven T Dekosky; Alan J Fischman; Steven M Greenberg
Journal:  Ann Neurol       Date:  2007-09       Impact factor: 10.422

3.  Antemortem amyloid imaging and β-amyloid pathology in a case with dementia with Lewy bodies.

Authors:  Kejal Kantarci; Chunhui Yang; Julie A Schneider; Matthew L Senjem; Denise A Reyes; Val J Lowe; Lisa L Barnes; Neelum T Aggarwal; David A Bennett; Glenn E Smith; Ronald C Petersen; Clifford R Jack; Bradley F Boeve
Journal:  Neurobiol Aging       Date:  2010-10-18       Impact factor: 4.673

4.  Dementia with Lewy bodies and Alzheimer disease: neurodegenerative patterns characterized by DTI.

Authors:  K Kantarci; R Avula; M L Senjem; A R Samikoglu; B Zhang; S D Weigand; S A Przybelski; H A Edmonson; P Vemuri; D S Knopman; T J Ferman; B F Boeve; R C Petersen; C R Jack
Journal:  Neurology       Date:  2010-06-01       Impact factor: 9.910

5.  Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-β plaques: a prospective cohort study.

Authors:  Christopher M Clark; Michael J Pontecorvo; Thomas G Beach; Barry J Bedell; R Edward Coleman; P Murali Doraiswamy; Adam S Fleisher; Eric M Reiman; Marwan N Sabbagh; Carl H Sadowsky; Julie A Schneider; Anupa Arora; Alan P Carpenter; Matthew L Flitter; Abhinay D Joshi; Michael J Krautkramer; Ming Lu; Mark A Mintun; Daniel M Skovronsky
Journal:  Lancet Neurol       Date:  2012-06-28       Impact factor: 44.182

6.  11C PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment.

Authors:  Clifford R Jack; Val J Lowe; Matthew L Senjem; Stephen D Weigand; Bradley J Kemp; Maria M Shiung; David S Knopman; Bradley F Boeve; William E Klunk; Chester A Mathis; Ronald C Petersen
Journal:  Brain       Date:  2008-02-07       Impact factor: 13.501

Review 7.  Diagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB Consortium.

Authors:  Ian G McKeith; Bradley F Boeve; Dennis W Dickson; Glenda Halliday; John-Paul Taylor; Daniel Weintraub; Dag Aarsland; James Galvin; Johannes Attems; Clive G Ballard; Ashley Bayston; Thomas G Beach; Frédéric Blanc; Nicolaas Bohnen; Laura Bonanni; Jose Bras; Patrik Brundin; David Burn; Alice Chen-Plotkin; John E Duda; Omar El-Agnaf; Howard Feldman; Tanis J Ferman; Dominic Ffytche; Hiroshige Fujishiro; Douglas Galasko; Jennifer G Goldman; Stephen N Gomperts; Neill R Graff-Radford; Lawrence S Honig; Alex Iranzo; Kejal Kantarci; Daniel Kaufer; Walter Kukull; Virginia M Y Lee; James B Leverenz; Simon Lewis; Carol Lippa; Angela Lunde; Mario Masellis; Eliezer Masliah; Pamela McLean; Brit Mollenhauer; Thomas J Montine; Emilio Moreno; Etsuro Mori; Melissa Murray; John T O'Brien; Sotoshi Orimo; Ronald B Postuma; Shankar Ramaswamy; Owen A Ross; David P Salmon; Andrew Singleton; Angela Taylor; Alan Thomas; Pietro Tiraboschi; Jon B Toledo; John Q Trojanowski; Debby Tsuang; Zuzana Walker; Masahito Yamada; Kenji Kosaka
Journal:  Neurology       Date:  2017-06-07       Impact factor: 9.910

8.  Neuropathologically mixed Alzheimer's and Lewy body disease: burden of pathological protein aggregates differs between clinical phenotypes.

Authors:  Lauren Walker; Kirsty E McAleese; Alan J Thomas; Mary Johnson; Carmen Martin-Ruiz; Craig Parker; Sean J Colloby; Kurt Jellinger; Johannes Attems
Journal:  Acta Neuropathol       Date:  2015-03-11       Impact factor: 17.088

9.  Regional correlations between [11C]PIB PET and post-mortem burden of amyloid-beta pathology in a diverse neuropathological cohort.

Authors:  Sang Won Seo; Nagehan Ayakta; Lea T Grinberg; Sylvia Villeneuve; Manja Lehmann; Bruce Reed; Charles DeCarli; Bruce L Miller; Howard J Rosen; Adam L Boxer; James P O'Neil; Lee-Way Jin; William W Seeley; William J Jagust; Gil D Rabinovici
Journal:  Neuroimage Clin       Date:  2016-11-11       Impact factor: 4.881

Review 10.  NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease.

Authors:  Clifford R Jack; David A Bennett; Kaj Blennow; Maria C Carrillo; Billy Dunn; Samantha Budd Haeberlein; David M Holtzman; William Jagust; Frank Jessen; Jason Karlawish; Enchi Liu; Jose Luis Molinuevo; Thomas Montine; Creighton Phelps; Katherine P Rankin; Christopher C Rowe; Philip Scheltens; Eric Siemers; Heather M Snyder; Reisa Sperling
Journal:  Alzheimers Dement       Date:  2018-04       Impact factor: 21.566

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Authors:  Weijie Huang; Xin Li; He Li; Wenxiao Wang; Kewei Chen; Kai Xu; Junying Zhang; Yaojing Chen; Dongfeng Wei; Ni Shu; Zhanjun Zhang
Journal:  Radiol Artif Intell       Date:  2021-06-23

2.  Specific Cerebrospinal Fluid SerpinA1 Isoform Pattern in Alzheimer's Disease.

Authors:  Lorenzo Barba; Steffen Halbgebauer; Federico Paolini Paoletti; Giovanni Bellomo; Samir Abu-Rumeileh; Petra Steinacker; Federico Massa; Lucilla Parnetti; Markus Otto
Journal:  Int J Mol Sci       Date:  2022-06-22       Impact factor: 6.208

Review 3.  Lewy Body Dementias: Controversies and Drug Development.

Authors:  Shannon Y Chiu; Dawn Bowers; Melissa J Armstrong
Journal:  Neurotherapeutics       Date:  2021-12-02       Impact factor: 6.088

4.  The value of multimodal imaging with 123I-FP-CIT SPECT in differential diagnosis of dementia with Lewy bodies and Alzheimer's disease dementia.

Authors:  Toji Miyagawa; Scott A Przybelski; Daniela Maltais; Hoon-Ki Min; Lennon Jordan; Timothy G Lesnick; Qin Chen; Jonathan Graff-Radford; David Jones; Rodolfo Savica; David Knopman; Ronald Petersen; Walter K Kremers; Leah K Forsberg; Julie A Fields; Tanis J Ferman; Laura Allen; Joseph Parisi; R Ross Reichard; Melissa Murray; Dennis Dickson; Bradley F Boeve; Kejal Kantarci; Val J Lowe
Journal:  Neurobiol Aging       Date:  2020-12-15       Impact factor: 4.673

Review 5.  Differentiating dementia with Lewy bodies from Alzheimer's disease and Parkinson's disease dementia: an update on imaging modalities.

Authors:  Rotem Iris Orad; Tamara Shiner
Journal:  J Neurol       Date:  2021-01-29       Impact factor: 4.849

Review 6.  Multiparametric magnetic resonance imaging and positron emission tomography findings in neurodegenerative diseases: Current status and future directions.

Authors:  Neetu Soni; Manish Ora; Girish Bathla; Chandana Nagaraj; Laura L Boles Ponto; Michael M Graham; Jitender Saini; Yusuf Menda
Journal:  Neuroradiol J       Date:  2021-03-05

7.  β-Amyloid PET and 123I-FP-CIT SPECT in Mild Cognitive Impairment at Risk for Lewy Body Dementia.

Authors:  Qin Chen; Val J Lowe; Bradley F Boeve; Scott A Przybelski; Toji Miyagawa; Matthew L Senjem; Clifford R Jack; Timothy G Lesnick; Walter K Kremers; Julie A Fields; Hoon-Ki Min; Christopher G Schwarz; Jeffrey L Gunter; Jonathan Graff-Radford; Rodolfo Savica; David S Knopman; David Jones; Tanis J Ferman; Neill R Graff-Radford; Ronald C Petersen; Kejal Kantarci
Journal:  Neurology       Date:  2021-01-06       Impact factor: 9.910

8.  Longitudinal anatomic, functional, and molecular characterization of Pick disease phenotypes.

Authors:  Jennifer L Whitwell; Nirubol Tosakulwong; Christopher C Schwarz; Matthew L Senjem; Anthony J Spychalla; Joseph R Duffy; Jon Graff-Radford; Mary M Machulda; Bradley F Boeve; David S Knopman; Ronald C Petersen; Val J Lowe; Clifford R Jack; Dennis W Dickson; Joseph E Parisi; Keith A Josephs
Journal:  Neurology       Date:  2020-09-28       Impact factor: 9.910

9.  β-Amyloid and tau biomarkers and clinical phenotype in dementia with Lewy bodies.

Authors:  Daniel Ferreira; Scott A Przybelski; Timothy G Lesnick; Afina W Lemstra; Elisabet Londos; Frederic Blanc; Zuzana Nedelska; Christopher G Schwarz; Jonathan Graff-Radford; Matthew L Senjem; Julie A Fields; David S Knopman; Rodolfo Savica; Tanis J Ferman; Neill R Graff-Radford; Val J Lowe; Clifford R Jack; Ronald C Petersen; Brit Mollenhauer; Sara Garcia-Ptacek; Carla Abdelnour; Jakub Hort; Laura Bonanni; Ketil Oppedal; Milica G Kramberger; Bradley F Boeve; Dag Aarsland; Eric Westman; Kejal Kantarci
Journal:  Neurology       Date:  2020-09-28       Impact factor: 9.910

Review 10.  Neuroimaging in Dementia With Lewy Bodies.

Authors:  Abhishikta Saha; Dipanjan Banerjee
Journal:  Cureus       Date:  2021-06-16
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