Longitudinal validity of PET‐based staging of regional amyloid deposition
Open accessAbstract
Positron emission tomography (PET)-based staging of regional amyloid deposition has recently emerged as a promising tool for sensitive detection and stratification of pathology progression in Alzheimer's Disease (AD). Here we present an updated methodological framework for PET-based amyloid staging using region-specific amyloid-positivity thresholds and assess its longitudinal validity using serial PET acquisitions. We defined region-specific thresholds of amyloid-positivity based on Florbetapir-PET data of 13 young healthy individuals (age ≤ 45y), applied these thresholds to Florbetapir-PET data of 179 cognitively normal older individuals to estimate a regional amyloid staging model, and tested this model in a larger sample of patients with mild cognitive impairment (N = 403) and AD dementia (N = 85). 2-year follow-up Florbetapir-PET scans from a subset of this sample (N = 436) were used to assess the longitudinal validity of the cross-sectional model based on individual stage transitions and data-driven longitudinal trajectory modeling. Results show a remarkable congruence between cross-sectionally estimated and longitudinally modeled trajectories of amyloid accumulation, beginning in anterior temporal areas, followed by frontal and medial parietal areas, the remaining associative neocortex, and finally primary sensory-motor areas and subcortical regions. Over 98% of individual amyloid deposition profiles and longitudinal stage transitions adhered to this staging scheme of regional pathology progression, which was further supported by corresponding changes in cerebrospinal fluid biomarkers. In conclusion, we provide a methodological refinement and longitudinal validation of PET-based staging of regional amyloid accumulation, which may help improving early detection and in-vivo stratification of pathologic disease progression in AD.
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Serial amyloid PET scans show Aβ deposition starts in anterior temporal areas and spreads to frontal and medial parietal areas, associative neocortex, and later primary sensorimotor areas and subcortical regions, mirroring neuropathological staging of AD.
“Serial amyloid PET scans show that Αβ deposition starts in the anterior temporal areas and spreads to the frontal and medial parietal areas, the associative neocortex and later on at the primary sensorimotor areas and subcortical regions mirroring the neuropathological staging of AD pathology [164–166].”
From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [165]
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Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects
Shaw, L. M., Vanderstichele, H., Knapik‐Czajka, M., Clark, C. M., Aisen, P. S., Petersen, R. C., Blennow, K., Soares, H., Simon, A., Lewczuk, P., et al. (2009) · Annals of Neurology · doi:10.1002/ana.21610 · Cited by 2,065 · see citing works
In vivo cortical spreading pattern of tau and amyloid in the Alzheimer disease spectrum
Cho, H., Choi, J. Y., Hwang, M. S., Kim, Y. J., Lee, H. M., Lee, H. S., Lee, J. H., Ryu, Y. H., Lee, M. S., & Lyoo, C. H. (2016) · Annals of Neurology · doi:10.1002/ana.24711 · Cited by 499 · see citing works
Apolipoprotein E–dependent accumulation of Alzheimer disease–related lesions begins in middle age
Kok, E., Haikonen, S., Luoto, T., Huhtala, H., Goebeler, S., Haapasalo, H., & Karhunen, P. J. (2009) · Annals of Neurology · doi:10.1002/ana.21696 · Cited by 299 · see citing works
Mattsson, N., Insel, P. S., Donohue, M., Landau, S., Jagust, W. J., Shaw, L. M., Trojanowski, J. Q., Zetterberg, H., Blennow, K., & Weiner, M. W. (2015) · Brain · doi:10.1093/brain/awu367 · Cited by 237 · see citing works
Shapes of the Trajectories of 5 Major Biomarkers of Alzheimer Disease
Jack, C. R., Vemuri, P., Wiste, H. J., Weigand, S. D., Lesnick, T. G., Lowe, V., Kantarci, K., Bernstein, M. A., Senjem, M. L., Gunter, J. L., et al. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.3405 · Cited by 145 · see citing works
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Research works printed but not linked: 46
- Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. NeuroImage, 38(1), 95– 113. 10.1016/j.neuroimage.2007.07.007 17761438 · DOI · Paper page
- Beach, T. G., Maarouf, C. L., Intorcia, A., Sue, L. I., Serrano, G. E., Lu, M., … Roher, A. E. (2018). Antemortem‐Postmortem correlation of Florbetapir (18F) PET amyloid imaging with quantitative biochemical measures of Aβ42 but not Aβ40. Journal of Alzheimer's Disease: JAD, 61(4), 1509– 1516. 10.3233/JAD-170762 29376867 · DOI
- Bilgel, M., Prince, J. L., Wong, D. F., Resnick, S. M., & Jedynak, B. M. (2016). A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging. NeuroImage, 134, 658– 670. 10.1016/j.neuroimage.2016.04.001 27095307 PMC4912927 · DOI
- Braak, H., Thal, D. R., Ghebremedhin, E., & Del Tredici, K. (2011). Stages of the pathologic process in Alzheimer disease: Age categories from 1 to 100 years. Journal of Neuropathology and Experimental Neurology, 70(11), 960– 969. 10.1097/NEN.0b013e318232a379 22002422 · DOI · Paper page
- Brendel, M., Högenauer, M., Delker, A., Sauerbeck, J., Bartenstein, P., Seibyl, J., … Alzheimer's Disease Neuroimaging Initiative. (2015). Improved longitudinal [(18)F]‐AV45 amyloid PET by white matter reference and VOI‐based partial volume effect correction. NeuroImage, 108, 450– 459. 10.1016/j.neuroimage.2014.11.055 25482269 · DOI
- Cho, S. H., Shin, J.‐H., Jang, H., Park, S., Kim, H. J., Kim, S. E., … Alzheimer's Disease Neuroimaging Initiative. (2018). Amyloid involvement in subcortical regions predicts cognitive decline. European Journal of Nuclear Medicine and Molecular Imaging, 45(13), 2368– 2376. 10.1007/s00259-018-4081-5 29980831 PMC6439472 · DOI
- Clark, C. M., Pontecorvo, M. J., Beach, T. G., Bedell, B. J., Coleman, R. E., Doraiswamy, P. M., … AV‐45‐A16 Study Group. (2012). Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid‐β plaques: A prospective cohort study. Lancet Neurology, 11(8), 669– 678. 10.1016/S1474-4422(12)70142-4 22749065 · DOI · Paper page
- Farrell, M. E., Chen, X., Rundle, M. M., Chan, M. Y., Wig, G. S., & Park, D. C. (2018). Regional amyloid accumulation and cognitive decline in initially amyloid‐negative adults. Neurology, 91(19), e1809– e1821. 10.1212/WNL.0000000000006469 30305451 PMC6251600 · DOI
- Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini‐mental state”: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189– 198. 10.1016/0022-3956(75)90026-6 1202204 · DOI · Paper page
- Gonneaud, J., Arenaza‐Urquijo, E. M., Mézenge, F., Landeau, B., Gaubert, M., Bejanin, A., … Chételat, G. (2017). Increased florbetapir binding in the temporal neocortex from age 20 to 60 years. Neurology, 89(24), 2438– 2446. 10.1212/WNL.0000000000004733 29150540 · DOI
- Gonzalez‐Escamilla, G., Lange, C., Teipel, S., Buchert, R., Grothe, M. J., & Initiative, A.'s. D. N. (2017). PETPVE12: An SPM toolbox for partial volume effects correction in brain PET ‐ application to amyloid imaging with AV45‐PET. NeuroImage, 147, 669– 677. 10.1016/j.neuroimage.2016.12.077 28039094 · DOI
- Grothe, M. J., Barthel, H., Sepulcre, J., Dyrba, M., Sabri, O., Teipel, S. J., & Alzheimer's Disease Neuroimaging Initiative. (2017). In vivo staging of regional amyloid deposition. Neurology, 89(20), 2031– 2038. 10.1212/WNL.0000000000004643 29046362 PMC5711511 · DOI · Paper page
- Hanseeuw, B. J., Betensky, R. A., Mormino, E. C., Schultz, A. P., Sepulcre, J., Becker, J. A., … Harvard Aging Brain Study. (2018). PET staging of amyloidosis using striatum. Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 14(10), 1281– 1292. 10.1016/j.jalz.2018.04.011 PMC6219621 29792874 · DOI
- Jack, C. R., Jr., Wiste, H. J., Weigand, S. D., Therneau, T. M., Lowe, V. J., Knopman, D. S., … Petersen, R. C. (2017). Defining imaging biomarker cut points for brain aging and Alzheimer's disease. Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 13(3), 205– 216. 10.1016/j.jalz.2016.08.005 PMC5344738 27697430 · DOI · Paper page
- Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., … Trojanowski, J. Q. (2013). Tracking pathophysiological processes in Alzheimer's disease: An updated hypothetical model of dynamic biomarkers. The Lancet Neurology, 12, 207– 216. 10.1016/s1474-4422(12)70291-0 23332364 PMC3622225 · DOI · Paper page
- Josephs, K. A., Murray, M. E., Whitwell, J. L., Tosakulwong, N., Weigand, S. D., Petrucelli, L., … Dickson, D. W. (2016). Updated TDP‐43 in Alzheimer's disease staging scheme. Acta Neuropathologica, 131(4), 571– 585. 10.1007/s00401-016-1537-1 26810071 PMC5946692 · DOI
- Joshi, A. D., Pontecorvo, M. J., Clark, C. M., Carpenter, A. P., Jennings, D. L., Sadowsky, C. H., … Florbetapir F 18 Study Investigators. (2012). Performance characteristics of amyloid PET with florbetapir F 18 in patients with Alzheimer's disease and cognitively normal subjects. Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine, 53(3), 378– 384. 10.2967/jnumed.111.090340 22331215 · DOI
- Landau, S. M., Fero, A., Baker, S. L., Koeppe, R., Mintun, M., Chen, K., … Jagust, W. J. (2015). Measurement of longitudinal β‐amyloid change with 18F‐florbetapir PET and standardized uptake value ratios. Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine, 56(4), 567– 574. 10.2967/jnumed.114.148981 PMC5313473 25745095 · DOI · Paper page
- Landau, S. M., Horng, A., Jagust, W. J., & Alzheimer's Disease Neuroimaging Initiative. (2018). Memory decline accompanies subthreshold amyloid accumulation. Neurology, 90(17), e1452– e1460. 10.1212/WNL.0000000000005354 29572282 PMC5921038 · DOI
- Landau, S. M., Thomas, B. A., Thurfjell, L., Schmidt, M., Margolin, R., Mintun, M., … Alzheimer's Disease Neuroimaging Initiative. (2014). Amyloid PET imaging in Alzheimer's disease: A comparison of three radiotracers. European Journal of Nuclear Medicine and Molecular Imaging, 41(7), 1398– 1407. 10.1007/s00259-014-2753-3 24647577 PMC4055504 · DOI
- Marinescu, R. V., Eshaghi, A., Lorenzi, M., Young, A. L., Oxtoby, N. P., Garbarino, S., … Alexander, D. C. (2019). DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. NeuroImage, 192, 166– 177. 10.1016/j.neuroimage.2019.02.053 30844504 · DOI
- Matsubara, K., Ibaraki, M., Shimada, H., Ikoma, Y., Suhara, T., Kinoshita, T., & Ito, H. (2016). Impact of spillover from white matter by partial volume effect on quantification of amyloid deposition with [11C]PiB PET. NeuroImage, 143, 316– 324. 10.1016/j.neuroimage.2016.09.028 27639351 · DOI
- Mattsson, N., Palmqvist, S., Stomrud, E., Vogel, J., & Hansson, O. (2019). Staging β‐amyloid pathology with amyloid positron emission tomography. JAMA Neurology, 76, 1319 10.1001/jamaneurol.2019.2214 PMC6646987 31314895 · DOI · Paper page
- Müller‐Gärtner, H. W., Links, J. M., Prince, J. L., Bryan, R. N., McVeigh, E., Leal, J. P., … Frost, J. J. (1992). Measurement of radiotracer concentration in brain gray matter using positron emission tomography: MRI‐based correction for partial volume effects. Journal of Cerebral Blood Flow and Metabolism: Official Journal of the International Society of Cerebral Blood Flow and Metabolism, 12(4), 571– 583. 10.1038/jcbfm.1992.81 1618936 · DOI
- Navitsky, M., Joshi, A. D., Kennedy, I., Klunk, W. E., Rowe, C. C., Wong, D. F., … Devous, M. D., Sr. (2018a). Standardization of amyloid quantitation with florbetapir standardized uptake value ratios to the Centiloid scale. Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 14(12), 1565– 1571. 10.1016/j.jalz.2018.06.1353 30006100 · DOI · Paper page
- Ni, R., Gillberg, P.‐G., Bergfors, A., Marutle, A., & Nordberg, A. (2013). Amyloid tracers detect multiple binding sites in Alzheimer's disease brain tissue. Brain: A Journal of Neurology, 136(Pt 7), 2217– 2227. 10.1093/brain/awt142 23757761 · DOI
- Ottoy, J., Verhaeghe, J., Niemantsverdriet, E., Wyffels, L., Somers, C., De Roeck, E., … Staelens, S. (2017). Validation of the Semiquantitative static SUVR method for 18F‐AV45 PET by pharmacokinetic Modeling with an arterial input function. Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine, 58(9), 1483– 1489. 10.2967/jnumed.116.184481 28336779 · DOI
- Palmqvist, S., Schöll, M., Strandberg, O., Mattsson, N., Stomrud, E., Zetterberg, H., … Hansson, O. (2017). Earliest accumulation of β‐amyloid occurs within the default‐mode network and concurrently affects brain connectivity. Nature Communications, 8(1), 1214 10.1038/s41467-017-01150-x PMC5663717 29089479 · DOI · Paper page
- Reitan, R. M. (1958). Validity of the trail making test as an indicator of organic brain damage. Perceptual and Motor Skills, 8(3), 271– 276. 10.2466/pms.1958.8.3.271 · DOI
- Rodrigue, K. M., Kennedy, K. M., Devous, M. D., Sr., Rieck, J. R., Hebrank, A. C., Diaz‐Arrastia, R., … Park, D. C. (2012). β‐Amyloid burden in healthy aging: Regional distribution and cognitive consequences. Neurology, 78(6), 387– 395. 10.1212/WNL.0b013e318245d295 22302550 PMC3280058 · DOI · Paper page
- Rullmann, M., Dukart, J., Hoffmann, K.‐T., Luthardt, J., Tiepolt, S., Patt, M., … Barthel, H. (2016). Partial‐volume effect correction improves quantitative analysis of 18F‐Florbetaben β‐amyloid PET scans. Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine, 57(2), 198– 203. 10.2967/jnumed.115.161893 26541776 · DOI
- Sabri, O., Seibyl, J., Rowe, C., & Barthel, H. (2015). Beta‐amyloid imaging with florbetaben. Clinical and Translational Imaging, 3(1), 13– 26. 10.1007/s40336-015-0102-6 25741488 PMC4339690 · DOI
- Sakr, F. A., Grothe, M. J., Cavedo, E., Jelistratova, I., Habert, M.‐O., Dyrba, M., … Alzheimer Precision Medicine Initiative (APMI). (2019). Applicability of in vivo staging of regional amyloid burden in a cognitively normal cohort with subjective memory complaints: the INSIGHT‐preAD study. Alzheimer's Research & Therapy, 11(1), 15 10.1186/s13195-019-0466-3 PMC6357385 30704537 · DOI
- Schmidt, M. E., Chiao, P., Klein, G., Matthews, D., Thurfjell, L., Cole, P. E., … Alzheimer's Disease Neuroimaging Initiative. (2015). The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data. Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 11(9), 1050– 1068. 10.1016/j.jalz.2014.09.004 25457431 · DOI
- Schoenberg, M. R., Dawson, K. A., Duff, K., Patton, D., Scott, J. G., & Adams, R. L. (2006). Test performance and classification statistics for the Rey auditory verbal learning test in selected clinical samples. Archives of Clinical Neuropsychology: The Official Journal of the National Academy of Neuropsychologists, 21(7), 693– 703. 10.1016/j.acn.2006.06.010 16987634 · DOI
- Seo, S. W., Ayakta, N., Grinberg, L. T., Villeneuve, S., Lehmann, M., Reed, B., … Rabinovici, G. D. (2017). Regional correlations between [11C]PIB PET and post‐mortem burden of amyloid‐beta pathology in a diverse neuropathological cohort. NeuroImage. Clinical, 13, 130– 137. 10.1016/j.nicl.2016.11.008 27981028 PMC5144753 · DOI · Paper page
- Sojkova, J., Goh, J., Bilgel, M., Landman, B., Yang, X., Zhou, Y., … Resnick, S. M. (2015). Voxelwise relationships between distribution volume ratio and cerebral blood flow: Implications for analysis of β‐amyloid images. Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine, 56(7), 1042– 1047. 10.2967/jnumed.114.151480 PMC5367770 25977462 · DOI
- Sperling, R., Mormino, E., & Johnson, K. (2014). The evolution of preclinical Alzheimer's disease: Implications for prevention trials. Neuron, 84(3), 608– 622. 10.1016/j.neuron.2014.10.038 25442939 PMC4285623 · DOI · Paper page
- Su, Y., Blazey, T. M., Owen, C. J., Christensen, J. J., Friedrichsen, K., Joseph‐Mathurin, N., … Dominantly Inherited Alzheimer Network. (2016). Quantitative amyloid imaging in autosomal dominant Alzheimer's disease: Results from the DIAN study group. PLoS One, 11(3), e0152082 10.1371/journal.pone.0152082 27010959 PMC4807073 · DOI · Paper page
- Teipel, S. J., Dyrba, M., Chiesa, P. A., Sakr, F., Jelistratova, I., Lista, S., … Grothe, M. J. (2020). In vivo staging of regional amyloid deposition predicts functional conversion in the preclinical and prodromal phases of Alzheimer's disease. Neurobiology of Aging, 93, 98– 108. 10.1016/j.neurobiolaging.2020.03.011 32291113 · DOI
- Thal, D. R., Beach, T. G., Zanette, M., Lilja, J., Heurling, K., Chakrabarty, A., … Smith, A. P. L. (2018). Estimation of amyloid distribution by [18F]flutemetamol PET predicts the neuropathological phase of amyloid β‐protein deposition. Acta Neuropathologica, 136(4), 557– 567. 10.1007/s00401-018-1897-9 30123935 PMC6132944 · DOI
- Thal, D. R., Rüb, U., Orantes, M., & Braak, H. (2002). Phases of a beta‐deposition in the human brain and its relevance for the development of AD. Neurology, 58(12), 1791– 1800. Retrieved from. https://www.ncbi.nlm.nih.gov/pubmed/12084879 12084879
- Villain, N., Chételat, G., Grassiot, B., Bourgeat, P., Jones, G., Ellis, K. A., … Villemagne, V. L. (2012). Regional dynamics of amyloid‐β deposition in healthy elderly, mild cognitive impairment and Alzheimer's disease: A voxelwise PiB‐PET longitudinal study. Brain, 135(Pt 7), 2126– 2139. 10.1093/brain/aws125 22628162 · DOI · Paper page
- Villemagne, V. L., Ong, K., Mulligan, R. S., Holl, G., Pejoska, S., Jones, G., … Rowe, C. C. (2011). Amyloid imaging with (18)F‐florbetaben in Alzheimer disease and other dementias. Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine, 52(8), 1210– 1217. 10.2967/jnumed.111.089730 21764791 · DOI
- Villeneuve, S., Rabinovici, G. D., Cohn‐Sheehy, B. I., Madison, C., Ayakta, N., Ghosh, P. M., … Jagust, W. (2015). Existing Pittsburgh compound‐B positron emission tomography thresholds are too high: Statistical and pathological evaluation. Brain: A Journal of Neurology, 138(Pt 7, 2020– 2033. 10.1093/brain/awv112 25953778 PMC4806716 · DOI · Paper page
- Wang, H., & Song, M. (2011). Ckmeans.1d.Dp: Optimal k‐means clustering in one dimension by dynamic programming. The R Journal, 3(2), 29– 33. 27942416 PMC5148156
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Sorted by citations
The use of neuroimaging techniques in the early and differential diagnosis of dementia
Chouliaras, L., & O’Brien, J. T. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02215-8 · Cited by 186 · see citing works
- Authors
- Jelistratova, I., Teipel, S. J., & Grothe, M. J.
- Affiliations
- German Center for Neurodegenerative Diseases (DE)
- Consejo Superior de Investigaciones Científicas (ES)
- Corresponding author
- Grothe, Michel J.
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2020-07-10
- Volume
- 41
- Issue
- 15
- Pages
- 4219-4231
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC7502828
- OpenAlex
- W3042198414
- Cited by
- 39
- References
- 7
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 7 · 2023: 7 · 2022: 6 · 2021: 13 · 2020: 1
- FWCI
- 4.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Human Brain Mapping (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RISalud Institutional Health Repository of Andalucía (submittedVersion, cc-by)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
- DZNE Pub (submittedVersion, other-oa)
- Funders
- Alzheimer Forschung Initiative (16037)
- Instituto de Salud Carlos III (Miguel Servet contract [CP19/00031])
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- Alzheimer's disease, longitudinal validity, florbetapir, mild cognitive impairment, cerebrospinal fluid biomarkers, anterior temporal lobe
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Aniline Compounds, Cerebral Cortex, Cross-Sectional Studies, Ethylene Glycols, Female, Humans, Longitudinal Studies, Male, Middle Aged, Reproducibility of Results, Biomarkers, Amyloid beta-Peptides, Disease Progression, Positron-Emission Tomography, Neuroimaging, Cognitive Dysfunction
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