Ventricular enlargement as a possible measure of Alzheimer’s disease progression validated using the Alzheimer’s disease neuroimaging initiative database
Open accessAbstract
Ventricular enlargement may be an objective and sensitive measure of neuropathological change associated with mild cognitive impairment (MCI) and Alzheimer's disease (AD), suitable to assess disease progression for multi-centre studies. This study compared (i) ventricular enlargement after six months in subjects with MCI, AD and normal elderly controls (NEC) in a multi-centre study, (ii) volumetric and cognitive changes between Apolipoprotein E genotypes, (iii) ventricular enlargement in subjects who progressed from MCI to AD, and (iv) sample sizes for multi-centre MCI and AD studies based on measures of ventricular enlargement. Three dimensional T(1)-weighted MRI and cognitive measures were acquired from 504 subjects (NEC n = 152, MCI n = 247 and AD n = 105) participating in the multi-centre Alzheimer's Disease Neuroimaging Initiative. Cerebral ventricular volume was quantified at baseline and after six months using semi-automated software. For the primary analysis of ventricle and neurocognitive measures, between group differences were evaluated using an analysis of covariance, and repeated measures t-tests were used for within group comparisons. For secondary analyses, all groups were dichotomized for Apolipoprotein E genotype based on the presence of an epsilon 4 polymorphism. In addition, the MCI group was dichotomized into those individuals who progressed to a clinical diagnosis of AD, and those subjects that remained stable with MCI after six months. Group differences on neurocognitive and ventricle measures were evaluated by independent t-tests. General sample size calculations were computed for all groups derived from ventricle measurements and neurocognitive scores. The AD group had greater ventricular enlargement compared to both subjects with MCI (P = 0.0004) and NEC (P < 0.0001), and subjects with MCI had a greater rate of ventricular enlargement compared to NEC (P = 0.0001). MCI subjects that progressed to clinical AD after six months had greater ventricular enlargement than stable MCI subjects (P = 0.0270). Ventricular enlargement was different between Apolipoprotein E genotypes within the AD group (P = 0.010). The number of subjects required to demonstrate a 20% change in ventricular enlargement was substantially lower than that required to demonstrate a 20% change in cognitive scores. Ventricular enlargement represents a feasible short-term marker of disease progression in subjects with MCI and subjects with AD for multi-centre studies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In humans, lateral ventricular enlargement was found even at early stages like MCI.
“and even at early stages like MCI (Nestor et al., 2008).”
From Early stage alterations in white matter and decreased functional interhemispheric hippocampal connectivity in the 3xTg mouse model of Alzheimer’s disease. (2019) · cites this paper as Nestor et al., 2008
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347 · see citing works
A new rating scale for Alzheimer's disease
(1984) · American Journal of Psychiatry · doi:10.1176/ajp.141.11.1356 · Cited by 4,175 · see citing works
Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD
Jack, C. R., Shiung, M. M., Gunter, J. L., O’Brien, P. C., Weigand, S. D., Knopman, D. S., Boeve, B. F., Ivnik, R. J., Smith, G. E., Cha, R. H., et al. (2004) · Neurology · doi:10.1212/01.wnl.0000110315.26026.ef · Cited by 827 · see citing works
Effects of Aβ immunization (AN1792) on MRI measures of cerebral volume in Alzheimer disease
Fox, N. C., Black, R. S., Gilman, S., Rossor, M. N., Griffith, S. G., Jenkins, L., & Koller, M. (2005) · Neurology · doi:10.1212/01.wnl.0000159743.08996.99 · Cited by 550 · see citing works
Braak, H., & Braak, E. (1994) · Neurobiology of Aging · doi:10.1016/0197-4580(94)90032-9 · Cited by 181 · see citing works
Flagged first, then by citations
Research works printed but not linked: 39
- Accomazzi V, Lazarowich R, Barlow CJ, Davey B inventors; Cedara Software Corp., assignee. 2005. Feb 10, Image region segmentation system and method. US Patent Application 20050031202. [Google Scholar]
- Bigler ED, Lowry CM, Anderson CV, Johnson SC, Terry J, Steed M. Dementia, quantitative neuroimaging, and apolipoprotein E genotype. American Journal of Neuroradiology. 2000;21:1857–68. [PMC free article] [PubMed] [Google Scholar]
- Bizzarro A, Marra C, Acciarri A, Valenza A, Tiziano FD, Brahe C, et al. Apolipoprotein E ε4 allele differentiates the clinical response to donepezil in Alzheimer's disease. Dementia & Geriatric Cognitive Disorders. 2005;20:254–61. doi: 10.1159/000087371. [DOI] [PubMed] [Google Scholar] · DOI
- Blesa R, Aguilar M, Casanova JP, Boada M, Martinez S, Alom J, et al. Relationship between the efficacy of rivastigmine and apolipoprotein E (ε4) in patients with mild to moderately severe Alzheimer disease. Alzheimer Disease & Associated Disorders. 2006;20:248–54. doi: 10.1097/01.wad.0000213880.93665.c7. [DOI] [PubMed] [Google Scholar] · DOI
- Bradley KM, Bydder GM, Budge MM, Hajnal JV, White SJ, Ripley BD, et al. Serial brain MRI at 3-6 month intervals as a surrogate marker for Alzheimer's disease. Br J Radiol. 2002;75:506–13. doi: 10.1259/bjr.75.894.750506. [DOI] [PubMed] [Google Scholar] · DOI
- Carmichael OT, Kuller LH, Lopez OL, Thompson PM, Dutton RA, Lu A, et al. Ventricular volume and dementia progression in the cardiovascular health study. Neurobiol Aging. 2007;28:389–97. doi: 10.1016/j.neurobiolaging.2006.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Cherbuin N, Leach LS, Christensen H, Anstey KJ. Neuroimaging and APOE genotype: A systematic qualitative review. Dement Geriatr Cogn Disord. 2007;24:348–62. doi: 10.1159/000109150. [DOI] [PubMed] [Google Scholar] · DOI
- Chetelat G, Baron JC. Early diagnosis of Alzheimer's disease: Contribution of structural neuroimaging. Neuroimage. 2003;18:525–41. doi: 10.1016/s1053-8119(02)00026-5. [DOI] [PubMed] [Google Scholar] · DOI
- den Heijer T, Oudkerk M, Launer LJ, van Duijn CM, Hofman A, Breteler MM. Hippocampal, amygdalar, and global brain atrophy in different apolipoprotein E genotypes. Neurology. 2002;59:746–8. doi: 10.1212/wnl.59.5.746. [DOI] [PubMed] [Google Scholar] · DOI
- Devanand DP, Pradhaban G, Liu X, Khandji A, De Santi S, Segal S, et al. Hippocampal and entorhinal atrophy in mild cognitive impairment: Prediction of Alzheimer disease. Neurology. 2007;68:828–36. doi: 10.1212/01.wnl.0000256697.20968.d7. [DOI] [PubMed] [Google Scholar] · DOI
- Duarte A, Hayasaka S, Du A, Schuff N, Jahng GH, Kramer J, et al. Volumetric correlates of memory and executive function in normal elderly, mild cognitive impairment and Alzheimer's disease. Neurosci Lett. 2006;406:60–5. doi: 10.1016/j.neulet.2006.07.029. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Farlow M, Lane R, Kudaravalli S, He Y. Differential qualitative responses to rivastigmine in APOE ε4 carriers and noncarriers. Pharmacogenomics Journal. 2004;4:332–5. doi: 10.1038/sj.tpj.6500267. [DOI] [PubMed] [Google Scholar] · DOI
- Ferrarini L, Palm WM, Olofsen H, van Buchem MA, Reiber JH, Admiraal-Behloul F. Shape differences of the brain ventricles in Alzheimer's disease. Neuroimage. 2006;32:1060–9. doi: 10.1016/j.neuroimage.2006.05.048. [DOI] [PubMed] [Google Scholar] · DOI
- Fleisher AS, Sun S, Taylor C, Ward CP, Gamst AC, Petersen RC, et al. Volumetric MRI vs clinical predictors of Alzheimer disease in mild cognitive impairment. Neurology. 2008;70:191–9. doi: 10.1212/01.wnl.0000287091.57376.65. [DOI] [PubMed] [Google Scholar] · DOI
- Fox NC, Freeborough PA. Brain atrophy progression measured from registered serial MRI: Validation and application to Alzheimer's disease. Journal of Magnetic Resonance Imaging. 1997;7:1069–75. doi: 10.1002/jmri.1880070620. [DOI] [PubMed] [Google Scholar] · DOI
- Fox NC, Cousens S, Scahill R, Harvey RJ, Rossor MN. Using serial registered brain magnetic resonance imaging to measure disease progression in Alzheimer disease: Power calculations and estimates of sample size to detect treatment effects. Arch Neurol. 2000;57:339–44. doi: 10.1001/archneur.57.3.339. [DOI] [PubMed] [Google Scholar] · DOI
- Frankfort SV, Appels BA, de Boer A, Tulner LR, van Campen JP, Koks CH, et al. Identification of responders and reactive domains to rivastigmine in Alzheimer's disease. Pharmacoepidemiology & Drug Safety. 2007;16:545–51. doi: 10.1002/pds.1345. [DOI] [PubMed] [Google Scholar] · DOI
- Giesel FL, Hahn HK, Thomann PA, Widjaja E, Wignall E, von Tengg-Kobligk H, et al. Temporal horn index and volume of medial temporal lobe atrophy using a new semiautomated method for rapid and precise assessment. Am J Neuroradiol. 2006;27:1454–8. [PMC free article] [PubMed] [Google Scholar]
- Jack CR, Jr, Petersen RC, Xu YC, Waring SC, O’Brien PC, Tangalos EG, et al. Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease. Neurology. 1997;49:786–94. doi: 10.1212/wnl.49.3.786. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Jack CR, Jr, Petersen RC, Xu YC, O’Brien PC, Waring SC, Tangalos EG, et al. Hippocampal atrophy and apolipoprotein E genotype are independently associated with Alzheimer's disease. Ann Neurol. 1998;43:303–10. doi: 10.1002/ana.410430307. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Jack CR, Jr, Shiung MM, Weigand SD, O’Brien PC, Gunter JL, Boeve BF, et al. Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI. Neurology. 2005;65:1227–31. doi: 10.1212/01.wnl.0000180958.22678.91. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Jack CR, Jr, Lowe VJ, Senjem ML, Weigand SD, Kemp BJ, Shiung MM, et al. C11 PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment. Brain. 2008;131:665–80. doi: 10.1093/brain/awm336. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Leinsinger G, Teipel S, Wismuller A, Born C, Meindl T, Flatz W, et al. Volumetric MRI for evaluation of regional pattern and progressin of neocortical degeneration in Alzheimer's disease. Radiologe. 2003;43:537–42. doi: 10.1007/s00117-003-0928-1. [DOI] [PubMed] [Google Scholar] · DOI
- Petersen RC, Thomas RG, Grundman M, Bennett D, Doody R, Ferris S, et al. Vitamin E and donepezil for the treatment of mild cognitive impairment. N Engl J Med. 2005;352:2379–88. doi: 10.1056/NEJMoa050151. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Ridha BH, Anderson VM, Barnes J, Boyes RG, Price SL, Rossor MN, et al. Volumetric MRI and cognitive measures in Alzheimer disease. J Neurol. 2008;255:567–74. doi: 10.1007/s00415-008-0750-9. [DOI] [PubMed] [Google Scholar] · DOI
- Saha PK, Udupa JK, Odhner D. Scale-based fuzzy connected image segmentation: Theory, algorithms, and validation. CVIU. 2000;77:145–74. [Google Scholar]
- Sanchez JL, Rodriguez M, Carro J. Influence of cognitive reserve on neuropsychologic functioning in Alzheimer's disease type sporadic in subjects of spanish nationality. Neuropsychiatry, Neuropsychology, & Behavioral Neurology. 2002;15:113–22. [PubMed] [Google Scholar]
- Schmechel DE, Saunders AM, Strittmatter WJ, Crain BJ, Hulette CM, Joo SH, et al. Increased amyloid beta-peptide deposition in cerebral cortex as a consequence of apolipoprotein E genotype in late-onset Alzheimer disease. Proc Natl Acad Sci. 1993;90:9649–53. doi: 10.1073/pnas.90.20.9649. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Schott JM, Price SL, Frost C, Whitwell JL, Rossor MN, Fox NC. Measuring atrophy in Alzheimer disease: A serial MRI study over 6 and 12 months. Neurology. 2005;65:119–24. doi: 10.1212/01.wnl.0000167542.89697.0f. [DOI] [PubMed] [Google Scholar] · DOI
- Silbert LC, Quinn JF, Moore MM, Corbridge E, Ball MJ, Murdoch G, et al. Changes in premorbid brain volume predict Alzheimer's disease pathology. Neurology. 2003;61:487–92. doi: 10.1212/01.wnl.0000079053.77227.14. [DOI] [PubMed] [Google Scholar] · DOI
- Smith SM, Zhang Y, Jenkinson M, Chen J, Matthews PM, Federico A, et al. Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage. 2002;17:479–89. doi: 10.1006/nimg.2002.1040. [DOI] [PubMed] [Google Scholar] · DOI
- Thompson PM, Hayashi KM, De Zubicaray GI, Janke AL, Rose SE, Semple J, et al. Mapping hippocampal and ventricular change in Alzheimer disease. Neuroimage. 2004;22:1754–66. doi: 10.1016/j.neuroimage.2004.03.040. [DOI] [PubMed] [Google Scholar] · DOI
- van Belle G, Uhlmann RF, Hughes JP, Larson EB. Reliability of estimates of changes in mental status test performance in senile dementia of the Alzheimer type. J Clin Epidemiol. 1990;43:589–95. doi: 10.1016/0895-4356(90)90163-j. [DOI] [PubMed] [Google Scholar] · DOI
- Vickers AJ. The use of percentage change from baseline as an outcome in a controlled trial is statistically inefficient: A simulation study. BMC Medical Research Methodology. 2001;1:6. doi: 10.1186/1471-2288-1-6. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Visser PJ, Scheltens P, Pelgrim E, Verhey FR. Dutch ENA-NL-01 Study G. Medial temporal lobe atrophy and APOE genotype do not predict cognitive improvement upon treatment with rivastigmine in Alzheimer's disease patients. Dementia & Geriatric Cognitive Disorders. 2005;19:126–33. doi: 10.1159/000082883. [DOI] [PubMed] [Google Scholar] · DOI
- Wahlund LO, Julin P, Lannfelt L, Lindqvist J, Svensson L. Inheritance of the ApoE ε4 allele increases the rate of brain atrophy in dementia patients. Dementia & Geriatric Cognitive Disorders. 1999;10:262–8. doi: 10.1159/000017130. [DOI] [PubMed] [Google Scholar] · DOI
- Walter SD, Eliasziw M, Donner A. Sample size and optimal designs for reliability studies. Stat Med. 1998;17:101–10. doi: 10.1002/(sici)1097-0258(19980115)17:1<101::aid-sim727>3.0.co;2-e. [DOI] [PubMed] [Google Scholar] · DOI
- Wang D, Chalk JB, Rose SE, de Zubicaray G, Cowin G, Galloway GJ, et al. MR image-based measurement of rates of change in volumes of brain structures. part II: Application to a study of Alzheimer's disease and normal aging. Magn Reson Imaging. 2002;20:41–8. doi: 10.1016/s0730-725x(02)00472-1. [DOI] [PubMed] [Google Scholar] · DOI
- Wilcock GK, Lilienfeld S, Gaens E. Efficacy and safety of galantamine in patients with mild to moderate Alzheimer's disease: Multicentre randomised controlled trial. galantamine international-1 study group. BMJ. 2000;321:1445–9. doi: 10.1136/bmj.321.7274.1445. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
Cited by
Sorted by citations
The clinical use of structural MRI in Alzheimer disease
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P., & Thompson, P. M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.215 · Cited by 2,113 · see citing works
Gauthier, S., Feldman, H. H., Schneider, L. S., Wilcock, G. K., Frisoni, G. B., Hardlund, J. H., Moebius, H. J., Bentham, P., Kook, K. A., Wischik, D. J., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31275-2 · Cited by 427 · see citing works
Weiner, M. W., Veitch, D. P., Aisen, P. S., Beckett, L. A., Cairns, N. J., Cedarbaum, J., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.11.001 · Cited by 348 · see citing works
Mummery, C. J., Börjesson-Hanson, A., Blackburn, D. J., Vijverberg, E. G. B., De Deyn, P. P., Ducharme, S., Jonsson, M., Schneider, A., Rinne, J. O., Ludolph, A. C., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02326-3 · Cited by 347 · see citing works
Sex and age differences in atrophic rates: an ADNI study with n=1368 MRI scans
Hua, X., Hibar, D. P., Lee, S., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.033 · Cited by 234 · see citing works
Biomarkers used in Alzheimer’s disease diagnosis, treatment, and prevention
Mahaman, Y. A. R., Embaye, K. S., Huang, F., Li, L., Zhu, F., Wang, J.-Z., Liu, R., Feng, J., & Wang, X. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101544 · Cited by 149 · see citing works
Chou, Y.-Y., Leporé, N., Avedissian, C., Madsen, S. K., Parikshak, N., Hua, X., Shaw, L. M., Trojanowski, J. Q., Weiner, M. W., Toga, A. W., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.015 · Cited by 117 · see citing works
D’Cunha, N. M., Georgousopoulou, E. N., Dadigamuwage, L., Kellett, J., Panagiotakos, D. B., Thomas, J., McKune, A. J., Mellor, D. D., & Naumovski, N. (2018) · British Journal of Nutrition · doi:10.1017/s0007114517003452 · Cited by 68 · see citing works
Scott, E. P., Sorrell, A., & Benitez, A. (2019) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617719000614 · Cited by 69 · see citing works
Huang, H., Zheng, S., Yang, Z., Wu, Y., Li, Y., Qiu, J., Cheng, Y., Lin, P., Lin, Y., Guan, J., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhac099 · Cited by 57 · see citing works
Heritability of brain ventricle volume: Converging evidence from inconsistent results
Kremen, W. S., Panizzon, M. S., Neale, M. C., Fennema-Notestine, C., Prom-Wormley, E., Eyler, L. T., Stevens, A., Franz, C. E., Lyons, M. J., Grant, M. D., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.02.007 · Cited by 50 · see citing works
Manno, F. A. M., Isla, A. G., Manno, S. H. C., Ahmed, I., Cheng, S. H., Barrios, F. A., & Lau, C. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00039 · Cited by 49 · see citing works
Mirkin, S., & Albensi, B. C. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1094233 · Cited by 46 · see citing works
Ma, D., Holmes, H. E., Cardoso, M. J., Modat, M., Harrison, I. F., Powell, N. M., O’Callaghan, J. M., Ismail, O., Johnson, R. A., O’Neill, M. J., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00011 · Cited by 36 · see citing works
Soucy, J.-P., Bartha, R., Bocti, C., Borrie, M., Burhan, A. M., Laforce, R., & Rosa-Neto, P. (2013) · Alzheimer's Research & Therapy · doi:10.1186/alzrt199 · Cited by 25 · see citing works
Self-citationBae, I.-S., Kim, J. M., Cheong, J. H., Ryu, J. I., & Han, M.-H. (2019) · Aging · doi:10.18632/aging.102316 · Cited by 22 · see citing works
Theoretical impact of the AT(N) framework on dementia using a community autopsy sample
Burke, B. T., Latimer, C., Keene, C. D., Sonnen, J. A., McCormick, W., Bowen, J. D., McCurry, S. M., Larson, E. B., & Crane, P. K. (2021) · Alzheimer's & Dementia · doi:10.1002/alz.12348 · Cited by 13 · see citing works
Bompard, L., Xu, S., Styner, M., Paniagua, B., Ahn, M., Yuan, Y., Jewells, V., Gao, W., Shen, D., Zhu, H., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0108306 · Cited by 11 · see citing works
Li, X., Initiative, O. B. O. A. D. N., Chu, S.-G., Shen, X.-N., Hou, X.-H., Xu, W., Ou, Y.-N., Dong, Q., Tan, L., & Yu, J.-T. (2019) · Aging · doi:10.18632/aging.102435 · Cited by 7 · see citing works
Albright, J., & Initiative, A. D. N. (2019) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2019.07.001 · Cited by 104 · see citing works
- Authors
- Nestor, S. M., Rupsingh, R., Borrie, M., Smith, M., Accomazzi, V., Wells, J. L., Fogarty, J., Bartha, R., & Initiative, T. A. D. N.
- Affiliations
- Western University (CA)
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-08-21
- Volume
- 131
- Issue
- 9
- Pages
- 2443-2454
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC2724905
- OpenAlex
- W2113588440
- Cited by
- 543
- References
- 6
- Citations by year
- 2026: 48 · 2025: 47 · 2024: 32 · 2023: 41 · 2022: 37 · 2021: 42 · 2020: 28 · 2019: 34 · 2018: 20 · 2017: 17 · 2016: 23 · 2015: 24 · 2014: 30 · 2013: 32 · 2012: 25
- FWCI
- 14.76
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5u01ag024904-10)
- National Institute on Aging (U01-AG-024904)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Cerebrospinal fluid and hydrocephalus
- Keywords
- ventriculomegaly, Alzheimer's disease, mild cognitive impairment, disease progression, APOE ε4, sample size determination, ventricular volume, cognitive decline, volumetric MRI, Alzheimer's Disease Neuroimaging Initiative
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Apolipoproteins E, Cerebral Ventricles, Dilatation, Pathologic, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Prognosis, Psychometrics, Radiology Information Systems, Reproducibility of Results, Observer Variation, Disease Progression
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review