Abstract
We aimed to determine whether 18F-florbetapir amyloid PET imaging shows a clinically concordant, left hemisphere dominant, pattern of deposition in primary progressive aphasia (PPA). Elevated cortical amyloid (Aβ+) was found in 19/32 PPA patients. Hemispheric laterality of amyloid burden was compared between Aβ+ PPA and an Aβ+ amnestic dementia group (n=22). The parietal region showed significantly greater left lateralized amyloid uptake in the PPA group than the amnestic group (p < 0.007), consistent with the left lateralized pattern of neurodegeneration in PPA. These results suggest the cortical distribution of amyloid may have a greater clinical concordance than previously reported.
INTRODUCTION
Primary progressive aphasia (PPA) is a clinical dementia syndrome characterized by selective vulnerability of the language network, with salient deficits in domains of word finding, word usage, and word comprehension1. In the early stages, PPA is associated with a clinically concordant, typically left-lateralized, pattern of cortical atrophy2,3.
The most common neuropathology reported for PPA is frontotemporal lobar degeneration (~60%) followed by Alzheimer's disease (AD; ~40%)4. PPA patients with postmortem AD generally show a leftward predominance of cortical neuropathology, an asymmetry that is more prominent for neurofibrillary tangles than beta-amyloid (Aβ) plaques5. This distribution of pathology is different from that of patients with typical amnestic dementia of the Alzheimer's type (DAT) who show symmetric plaque and tangle pathology. However, previous amyloid imaging with 11C-Pittsburgh Compound B (PiB) has yielded conflicting conclusions concerning asymmetry of binding in PPA6,7, 8. The present study examined whether amyloid positivity identified using florbetapir F18 (18F-AV-45), which was obtained at relatively early disease stages, would reveal a left hemisphere dominant pattern of deposition that is more consistent with the clinical picture of PPA.
METHODS
Participants
Thirty-two individuals with a root diagnosis of PPA1,3 (ages, 58–82 years; symptom duration, 4.6 ± 2.2 years) were screened for amyloid positivity using florbetapir F18 (18F-AV-45) positron emission tomography (PET). PPA patients were further characterized as logopenic (PPA-L), agrammatic (PPA-G), or semantic (PPA-S) based on quantitative neuropsychological data and clinical judgment using previously reported guidelines9. Patients who did not meet the current subtyping criteria were labeled “unclassified” (PPA-U)3, 10. All participants were right-handed.
PPA participants were recruited from the PPA Research Program at the Cognitive Neurology and Alzheimer's Disease Center at Northwestern University's Feinberg School of Medicine. Written informed consent was obtained from all PPA participants in the study. The Northwestern University Institutional Review Board approved the study.
The Alzheimer's Disease Neuroimaging Initiative (ADNI; http://adni.loni.usc.edu), a longitudinal multisite neuroimaging study supported by the National Institutes of Health, was utilized to identify an amnestic dementia comparison group. The group included twenty-two individuals with a clinical diagnosis of DAT or mild cognitive impairment (MCI)11 who had an elevated amyloid (Aβ+) PET scan and demographics and Clinical Dementia Rating (CDR)12 score similar to the PPA cohort.
Amyloid PET imaging acquisition and analysis
PET imaging for the PPA group was performed on a Siemens Biograph 40 TruePoint/TrueV PET-CT system located at Northwestern Memorial Hospital in Chicago, IL. Participants were administered a bolus intravenous injection of 370 MBq (10 +/− 1.0 mCi) florbetapir-F18. A CT scan was acquired for attenuation correction within 10 minutes before the beginning of PET imaging. Exactly 50 minutes post-injection, dynamic 3D imaging was continuously acquired for 20 minutes. The first 10 minutes of PET acquisition was reconstructed into 2×5 minute frames.
The ADNI participants completed an identical florbetapir PET imaging protocol at hospital and university sites nationwide. The 22 ADNI amnestic group subjects used in this study were scanned on Siemens, Phillips, and GE PET scanners.
Because of the inherent differences in PET scanners, smoothness of florbetapir signal was carefully estimated and matched for each amnestic and PPA subject. Smoothness was estimated with the Advanced Normalization Tools (ANTs; http://stnava.github.io/ANTs)13 and Analysis of Functional NeuroImages (AFNI; http://afni.nimh.nih.gov)14 software. Specifically, the Automated Anatomical Labeling (AAL) atlas15 left and right hemisphere masks were reverse normalized with ANTs from a 18F-AV-45 PET template16 to native subject space. The AAL binarized volume, in native space, was used to mask the motion corrected 2×5 minute mean PET volume with AFNI's 3dFWHMx, which estimated smoothness using a combination of first and second neighbor differences. A Gaussian kernel with varying levels of global smoothness (between 2-4mm FWHM) was applied to each amnestic subject's PET volume to achieve the same spatial smoothness of the Aβ+ PPA group. This method is ideal because it minimizes the amount of smoothing compared to typical ADNI processing, which blurs to a uniform 8mm FWHM.
For comparisons with other florbetapir studies, pre-processing methods and a priori regions from a previous report of DAT patients with pathologically confirmed AD were used17. Briefly, SPM 8 (http://www.fil.ion.ucl.ac.uk) was used to spatial normalize each subject's florbetapir scan to a common stereotaxic space16. An average cortical cerebral-to-cerebellar standard uptake value ratio (mean cortical SUVR) was calculated using a single SUVR mask consisting of six a priori bilateral volumes of interest (VOIs) in the frontal, temporal, parietal, anterior cingulate, posterior cingulate, and precuneus regions17, 18. Elevated amyloid (Aβ+) was defined as mean cortical SUVR ≥ 1.10. This threshold has been validated by florbetapir imaging of participants with confirmed AD histopathology17.
The laterality analysis compared scans from 19 Aβ+ PPA participants to that of 22 Aβ+ amnestic participants. For this analysis, the mean SUVR mask described above was segmented by region and by hemisphere, resulting in six regional SUVR pairs. Laterality scores were calculated (see formula below) for each VOI pair to determine asymmetry among the Aβ+ subjects. A positive laterality score indicates left hemisphere (LH) greater than right hemisphere (RH) amyloid burden.
Statistical analysis
Differences in demographics and neuropsychological performance among groups (Aβ+ PPA, Aβ- PPA, and Aβ+ amnestic) were assessed with independent two-sample t-tests or χ2 using PASW 22.0 (SPSS Inc., Chicago, IL). Laterality of amyloid burden was compared between Aβ+ PPA and Aβ+ amnestic groups for each of the six VOI using independent samples t-tests and a Bonferroni criterion of p < 0.007. Within-group differences of the laterality score were assessed with a one-sample t-test.
RESULTS
Nineteen PPA participants (7 PPA-L, 8 PPA-G, and 4 PPA-U) and 22 amnestic participants (7 DAT and 15 MCI) showed elevated florbetapir burden (mean cortical SUVR ≥ 1.10) and were included in the laterality analysis (Fig 1). There was no difference in dementia severity, as measured by the Clinical Dementia Rating (CDR) between the Aβ+ PPA group and Aβ+ amnestic group. However, the Aβ+ PPA group scored significantly lower than the amnestic group on the mini-mental state examination (MMSE; p < 0.05). This is not surprising since the MMSE is highly dependent on language ability and can overestimate dementia severity in PPA patients19. There were no significant differences in demographics or neuropsychological performance between the 19 Aβ+ and 13 Aβ− PPA patients (Table 1). Demographic and neuropsychological test scores by PPA subtype for the 19 Aβ+ participants are provided in Table 2.
Figure 1. Mean cortical SUVR values for PPA and amnestic participants by clinical subtype.

Amyloid burden for individual participants based on the mean cortical cerebral-to-cerebellar standard uptake value ratio (global mask of anterior cingulate, posterior cingulate, precuneus, frontal, temporal, and parietal regions). Nineteen PPA and 22 DAT/MCI amnestic subjects were above the 1.10 threshold and showed elevated florbetapir burden.
Abbreviations: Aβ+ = elevated amyloid, mean cortical SUVR ≥ 1.10; Aβ– = Amyloid below threshold, mean cortical SUVR < 1.10; PPA = primary progressive aphasia; PPA-G = agrammatic subtype of PPA; PPA-L = logopenic subtype of PPA; PPA-S = semantic subtype of PPA; PPA-U = unclassifiable subtype of PPA; DAT = dementia of the Alzheimer's type; MCI = mild cognitive impairment; SUVR = standard uptake value ratio; VOI = volume of interest.
Table 1.
Demographic features of the amnestic group and PPA participants with and without elevated amyloid.
| PPA-Aβ+ | PPA-Aβ– | Amnestic-Aβ+ | |
|---|---|---|---|
| N | 19 | 13 | 22 |
| Age, years (sd) | 68.3 (± 6.2) | 68.5 (± 6.2) | 67.7 (± 5.5) |
| Gender, % male | 42.1% | 61.5% | 27.3% |
| Education, years (sd) | 16.0 (± 2.5) | 15.1 (± 2.7) | 15.5 (± 2.6) |
| CDR = 0, N | 2 | 8 | 0 |
| CDR = 0.5, N | 14 | 4 | 17 |
| CDR = 1.0, N | 3 | 1 | 5 |
| MMSE, 0-30 (sd) | 20.9 (± 7.1) | 25.0 (± 5.8) | 26.0 (± 3.0) * |
| WAB-AQ, % (sd) | 81.9 (± 11.0) | 77.9 (± 16.0) | N/A |
Age, and education are provided in years. WAB-AQ, and gender are provided as percent out of 100. MMSE, out of a total of 30, with higher scores representing preserved cognition. CDR is ranked out of 3, with higher scores representing greater dementia severity.
There were no significant differences in demographics or neuropsychological performance between PPA-Aβ+ and PPA-Aβ–.
MMSE performance was significantly better for the amnestic group compared to the PPA-Aβ+ group (p < 0.05).
Abbreviations: PPA = primary progressive aphasia; Aβ+ = elevated amyloid, mean cortical SUVR ≥ 1.10; Aβ– = Amyloid below threshold, mean cortical SUVR < 1.10; CDR = Clinical Dementia Rating global measure; MMSE = mini-mental state examination; WAB-AQ = aphasia quotient of the Western Aphasia Battery; N/A = not available; SUVR = standard uptake value ratio.
Table 2.
Neuropsychological features of the PPA participants with elevated amyloid by subtype.
| Aβ+ PPA-L | Aβ+ PPA-G | Aβ+ PPA-U | |
|---|---|---|---|
| N | 7 | 8 | 4 |
| Age, years (sd) | 68.0 (± 7.5) | 66.5 (± 4.5) | 72.3 (± 6.7) |
| Gender, % male | 42.9% | 37.5% | 50.0% |
| Education, years (sd) | 17.4 (± 1.8) | 15.5 (± 2.8) | 14.5 (± 1.9) |
| WAB-AQ (sd) | 82.2% (± 13.7) | 80.8% (± 11.4) | 83.6% (± 5.9) |
| WAB-repetition (sd) | 57.0% (± 24.1) | 64.2% (± 18.6) | 72.3% (± 8.4) |
| PPVT (sd) | 91.3% (± 6.3) | 88.9% (± 7.7) | 68.8% (± 37.0) |
| BNT (sd) | 71.1% (± 20.3) | 62.6% (± 32.3) | 48.3% (± 28.0) |
| NAT-nc (sd) | 76.7% (± 22.6) | 55.0% (± 26.7) | 66.7% (± 21.1) |
Age, and education were provided in years. Gender, WAB-AQ, WAB-repetition PPVT, BNT, and NAT-nc are provided as percent out of 100. There were no significant differences in demographics or neuropsychological performance between the elevated amyloid PPA-L and PPA-G groups.
Abbreviations: PPA = primary progressive aphasia; PPA-L = logopenic subtype of PPA; PPA-G = agrammatic subtype of PPA; PPA-U = unclassifiable subtype of PPA; Aβ+ = elevated amyloid, mean cortical SUVR ≥ 1.10; WAB = Western Aphasia Battery; WAB-AQ = aphasia quotient from the WAB; WAB-repetition = the 6 most difficult items (#10-15) from the WAB Repetition subtest; PPVT = a subset of 36 moderately difficult items (#157-192) from the Peabody Picture Vocabulary Test, Fourth Edition; BNT = Boston Naming Test; NAT-nc = 15 noncanonical sentence items from the Northwestern Anagram Test. Neuropsychological tests WAB-AQ, WAB-repetition, PPVT, BNT, and NAT previously described3.
Laterality scores for the 19 Aβ+ PPA and 22 amnestic participants across all six individual VOI regions (anterior cingulate, posterior cingulate, precuneus, frontal, temporal, parietal) and the laterality of the mean cortical SUVR are provided in Figure 2a. Laterality scores from the parietal region of the Aβ+ PPA participants showed a significantly greater left-lateralized uptake compared to the Aβ+ amnestic group (p < 0.007). The laterality score of the parietal region was significantly asymmetric (different from zero) in the Aβ+ PPA group (p < 0.001). In contrast, the Aβ+ amnestic group showed no significant asymmetry of the parietal region (p = 0.827). There were no significant differences in the parietal laterality score between PPA-L (mean laterality score = 0.152 ± 0.122) and PPAG (mean laterality score = 0.153 ± 0.118; p = 0.639). Furthermore, parietal laterality scores were not correlated with age (Pearson's r = −0.056; p = 0.821). An Aβ+ PPA participant with clear asymmetric parietal uptake and an Aβ+ DAT participant with symmetric burden are provided for demonstrative purposes in Figure 2b.
Figure 2. Laterality of the florbetapir PET signal for PPA and amnestic individuals with elevated amyloid.
(A) Laterality scores of each Aβ+ PPA (n = 19) and amnestic (n = 22) subject in each of six volumes of interest (VOI) and the mean SUVR, which is the average SUVR of the 6 VOIs. A positive laterality score indicates left > right asymmetry. * The parietal VOI showed significant differences between groups (PPA-Aβ+ mean laterality score = 0.146 ± 0.110; amnestic-Aβ+ group mean laterality score = – 0.001 ± 0.028).
(B) An Aβ+ PPA patient (CDR = 0.5; MMSE = 28; mean cortical Aβ SUVR = 1.436) with an asymmetric left lateralized distribution of cortical amyloid in comparison to an amnestic DAT patient at similar stage of disease and amyloid load (CDR = 0.5; MMSE = 28; mean cortical Aβ SUVR = 1.437). Axial slices (radiological orientation) for visualization are provided (MNI-Talairach z = 5) and scaled at the same SUVR. The flame scale (1.1 to 2.0 SUVR) is provided, with warmer colors representing higher cerebral-to-cerebellar SUVR values.
Abbreviations: PPA = primary progressive aphasia; PPA-L = logopenic subtype of PPA; PPA-G = agrammatic subtype of PPA; PPA-U = unclassifiable subtype of PPA; Aβ+ = elevated amyloid, mean cortical SUVR ≥ 1.10; L = Left hemisphere; R = right hemisphere; MMSE = mini-mental state examination; DAT = dementia of the Alzheimer's type; SUVR = standard uptake value ratio.
DISCUSSION
This study applied the standard florbetapir methods17 for quantification to a well-characterized cohort of 32 PPA participants. In keeping with autopsy series, approximately half of PPA patients (59%) showed elevated β-amyloid binding. The differential percentage of participants with elevated amyloid in the PPA-L (78%) and PPA-S (0%) groups is consistent with prior amyloid PET imaging studies6,7. The number of PPA-G participants with elevated amyloid was higher than in previous reports. However, the fact that both PPA-L and PPA-G phenotypes showed elevated amyloid is consistent with clinicopathologic reports showing there is no one-to-one correspondence between clinical phenotypes and underlying pathology4. One of the PPA-L subjects with elevated amyloid in this study has come to autopsy and showed congruent AD pathology.
For PPA participants with elevated amyloid, greater left-lateralized Aβ asymmetry was detected in the parietal region compared to Aβ+ amnestic subjects. This left-lateralized parietal florbetapir signal is consistent with the clinical phenotype and the left-lateralized pattern of atrophy in early-stage PPA.
The few quantitative reports of in vivo amyloid PET imaging in PPA have exclusively used PiB and shown conflicting results. A single PPA case was compared to 10 DAT participants using a whole brain approach and found left-lateralized frontotemporal PiB retention8. However, two group comparison studies between PPA and DAT using PiB showed no significant differences in the hemispheric distribution of amyloid6,7. While both 11C-PiB and 18F-florbetapir identify amyloid with high reliability21,17, 20, slight differences in nonspecific white matter signal or differential binding profiles between the two amyloid radiotracers may influence quantitative metrics21.
It will be important to determine how atrophy, partial volume effects, disease stage, and PET tracers influence the detection of amyloid deposition in the cerebral cortex so that we can more accurately explain the relationship between amyloid PET measures and the pathophysiologic AD process. The asymmetry of pathology in PPA offers a unique setting for addressing this question since the right hemisphere acts as a control for the left, thus eliminating the complications inherent in inter-subject comparisons.
Supplementary Material
Acknowledgements
The authors thank Amanda Rezutek, Kristen Whitney, and Joseph Boyle for neuropsychological test administration of the primary progressive aphasia (PPA) participants. PET imaging for the PPA group was performed at the Northwestern Memorial Hospital Department of Nuclear Medicine.
This project was supported by DC008552 from the National Institute on Deafness and Other Communication Disorders, M.M.; AG13854 (Alzheimer Disease Center) from the National Institute on Aging, M.M.; NS075075 from the National Institute of Neurological Disorders and Stroke (NINDS), E.R.; this is not an industry-sponsored study.
Florbetapir F18 (18F-AV-45) doses for the PET imaging performed at Northwestern Memorial Hospital (Chicago, IL), as part of the primary progressive aphasia program at Northwestern University, were provided by Avid Radiopharmaceuticals a wholly owned subsidiary of Eli Lilly and Company.
A subset of data used in preparation of this article was obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI; adni.loni.usc.edu). For a full list of ADNI acknowledgements, see the online Supplementary File 1.
Footnotes
Authorship
M.M., E.R., and S.W. contributed to conception and design of the study; A.M., C.M., A.R., C.W., K.C., S.W. and E.R. collected and analyzed the data; A.M. and E.R. wrote the manuscript.
Potential Conflicts of Interest
A.M., C.M., A.R., C.W., S.W., K.C., and M.M. have nothing to disclose. 18F-florbetapir doses were provided as non-financial support by Avid Radiopharmaceuticals (awarded to E.R.).
References
- 1.Mesulam MM. Primary progressive aphasia--a language-based dementia. The New England journal of medicine. 2003 Oct 16;349(16):1535–42. doi: 10.1056/NEJMra022435. [DOI] [PubMed] [Google Scholar]
- 2.Gorno-Tempini ML, Dronkers NF, Rankin KP, et al. Cognition and anatomy in three variants of primary progressive aphasia. Annals of neurology. 2004 Mar;55(3):335–46. doi: 10.1002/ana.10825. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Mesulam M, Wieneke C, Rogalski E, et al. Quantitative template for subtyping primary progressive aphasia. Archives of neurology. 2009 Dec;66(12):1545–51. doi: 10.1001/archneurol.2009.288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Mesulam MM, Weintraub S, Rogalski EJ, et al. Asymmetry and heterogeneity of Alzheimer's and frontotemporal pathology in primary progressive aphasia. Brain : a journal of neurology. 2014 Apr;137(Pt 4):1176–92. doi: 10.1093/brain/awu024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Gefen T, Gasho K, Rademaker A, et al. Clinically concordant variations of Alzheimer pathology in aphasic versus amnestic dementia. Brain : a journal of neurology. 2012 May;135(Pt 5):1554–65. doi: 10.1093/brain/aws076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Rabinovici GD, Jagust WJ, Furst AJ, et al. Abeta amyloid and glucose metabolism in three variants of primary progressive aphasia. Annals of neurology. 2008 Oct;64(4):388–401. doi: 10.1002/ana.21451. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Leyton CE, Villemagne VL, Savage S, et al. Subtypes of progressive aphasia: application of the International Consensus Criteria and validation using beta-amyloid imaging. Brain : a journal of neurology. 2011 Oct;134(Pt 10):3030–43. doi: 10.1093/brain/awr216. [DOI] [PubMed] [Google Scholar]
- 8.Ng SY, Villemagne VL, Masters CL, Rowe CC. Evaluating atypical dementia syndromes using positron emission tomography with carbon 11 labeled Pittsburgh Compound B. Archives of neurology. 2007 Aug;64(8):1140–4. doi: 10.1001/archneur.64.8.1140. [DOI] [PubMed] [Google Scholar]
- 9.Gorno-Tempini ML, Hillis AE, Weintraub S, et al. Classification of primary progressive aphasia and its variants. Neurology. 2011 Mar 15;76(11):1006–14. doi: 10.1212/WNL.0b013e31821103e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Mesulam MM, Wieneke C, Thompson C, et al. Quantitative classification of primary progressive aphasia at early and mild impairment stages. Brain : a journal of neurology. 2012 May;135(Pt 5):1537–53. doi: 10.1093/brain/aws080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Petersen RC, Aisen PS, Beckett LA, et al. Alzheimer's Disease Neuroimaging Initiative (ADNI): clinical characterization. Neurology. 2010 Jan 19;74(3):201–9. doi: 10.1212/WNL.0b013e3181cb3e25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993 Nov;43(11):2412–4. doi: 10.1212/wnl.43.11.2412-a. [DOI] [PubMed] [Google Scholar]
- 13.Avants BB, Tustison NJ, Song G, et al. A reproducible evaluation of ANTs similarity metric performance in brain image registration. NeuroImage. 2011 Feb 1;54(3):2033–44. doi: 10.1016/j.neuroimage.2010.09.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Cox RW. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Computers and biomedical research, an international journal. 1996 Jun;29(3):162–73. doi: 10.1006/cbmr.1996.0014. [DOI] [PubMed] [Google Scholar]
- 15.Tzourio-Mazoyer N, Landeau B, Papathanassiou D, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage. 2002 Jan;15(1):273–89. doi: 10.1006/nimg.2001.0978. [DOI] [PubMed] [Google Scholar]
- 16.Wong DF, Rosenberg PB, Zhou Y, et al. In vivo imaging of amyloid deposition in Alzheimer disease using the radioligand 18F-AV-45 (florbetapir [corrected] F 18). Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 2010 Jun;51(6):913–20. doi: 10.2967/jnumed.109.069088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Clark CM, Schneider JA, Bedell BJ, et al. Use of florbetapir-PET for imaging beta-amyloid pathology. JAMA : the journal of the American Medical Association. 2011 Jan 19;305(3):275–83. doi: 10.1001/jama.2010.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Fleisher AS, Chen K, Liu X, et al. Using positron emission tomography and florbetapir F18 to image cortical amyloid in patients with mild cognitive impairment or dementia due to Alzheimer disease. Archives of neurology. 2011 Nov;68(11):1404–11. doi: 10.1001/archneurol.2011.150. [DOI] [PubMed] [Google Scholar]
- 19.Osher JE, Wicklund AH, Rademaker A, et al. The mini-mental state examination in behavioral variant frontotemporal dementia and primary progressive aphasia. American journal of Alzheimer's disease and other dementias. 2007 Jan;22(6):468–73. doi: 10.1177/1533317507307173. Dec-2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Klunk WE, Engler H, Nordberg A, et al. Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound-B. Annals of neurology. 2004 Mar;55(3):306–19. doi: 10.1002/ana.20009. [DOI] [PubMed] [Google Scholar]
- 21.Wolk DA, Zhang Z, Boudhar S, et al. Amyloid imaging in Alzheimer's disease: comparison of florbetapir and Pittsburgh compound-B positron emission tomography. Journal of neurology, neurosurgery, and psychiatry. 2012 Sep;83(9):923–6. doi: 10.1136/jnnp-2012-302548. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.

