Mapping correlations between ventricular expansion and CSF amyloid and tau biomarkers in 240 subjects with Alzheimer's disease, mild cognitive impairment and elderly controls
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We aimed to improve on the single-atlas ventricular segmentation method of (Carmichael, O.T., Thompson, P.M., Dutton, R.A., Lu, A., Lee, S.E., Lee, J.Y., Kuller, L.H., Lopez, O.L., Aizenstein, H.J., Meltzer, C.C., Liu, Y., Toga, A.W., Becker, J.T., 2006. Mapping ventricular changes related to dementia and mild cognitive impairment in a large community-based cohort. IEEE ISBI. 315-318) by using multi-atlas segmentation, which has been shown to lead to more accurate segmentations (Chou, Y., Leporé, N., de Zubicaray, G., Carmichael, O., Becker, J., Toga, A., Thompson, P., 2008. Automated ventricular mapping with multi-atlas fluid image alignment reveals genetic effects in Alzheimer's disease, NeuroImage 40(2): 615-630); with this method, we calculated minimal numbers of subjects needed to detect correlations between clinical scores and ventricular maps. We also assessed correlations between emerging CSF biomarkers of Alzheimer's disease pathology and localizable deficits in the brain, in 80 AD, 80 mild cognitive impairment (MCI), and 80 healthy controls from the Alzheimer's Disease Neuroimaging Initiative. Six expertly segmented images and their embedded parametric mesh surfaces were fluidly registered to each brain; segmentations were averaged within subjects to reduce errors. Surface-based statistical maps revealed powerful correlations between surface morphology and 4 variables: (1) diagnosis, (2) depression severity, (3) cognitive function at baseline, and (4) future cognitive decline over the following year. Cognitive function was assessed using the mini-mental state exam (MMSE), global and sum-of-boxes clinical dementia rating (CDR) scores, at baseline and 1-year follow-up. Lower CSF Abeta(1-42) protein levels, a biomarker of AD pathology assessed in 138 of the 240 subjects, were correlated with lateral ventricular expansion. Using false discovery rate (FDR) methods, 40 and 120 subjects, respectively, were needed to discriminate AD and MCI from normal groups. 120 subjects were required to detect correlations between ventricular enlargement and MMSE, global CDR, sum-of-boxes CDR and clinical depression scores. Ventricular expansion maps correlate with pathological and cognitive measures in AD, and may be useful in future imaging-based clinical trials.
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Short-term randomized controlled trials, longer-term open-label extensions, and long-term observational prospective clinical cohort effectiveness studies support the safety and benefits of anti-AD treatments in combination, most frequently as memantine added on to a stable regimen of background cholinesterase inhibitor treatment.
“Short-term (6-12 months) RCTs (level I evidence), longer-term (12-36 months) openlabel extensions of RCTs (level II or III evidence), and long-term (2 to 5-plus years) observational prospective clinical cohort effectiveness studies (level II evidence) support the safety and benefits of anti-AD treatments in combination, most frequently as memantine added on to a stable regimen of background ChEI”
From The Alzheimer’s Disease Clinical Spectrum (2019) · cites this paper as [116]
Longer-term prospective observational clinical patient cohort studies report reduced clinical decline in patients with AD treated at any stage.
“Longer-term prospective observational clinical patient cohort studies report reduced clinical decline in patients with AD treated at any stage.[114][115][116][117][118][119]”
From The Alzheimer’s Disease Clinical Spectrum (2019) · cites this paper as [116]
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
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
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915 · see citing works
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
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
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,003 · see citing works
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025 · see citing works
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561 · 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
Cognitive Stimulation in Patients with Dementia: Randomized Controlled Trial
Mapelli, D., Rosa, E. D., Nocita, R., & Sava, D. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353457 · Cited by 3,468 · see citing works
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 2× · see citing works
“To adjust for global differences in brain positioning and scale, we spatially normalized all images to the ICBM-53 average brain template with a 9-parameter linear transformation using the Minctracc algorithm (Collins et al., 1994).”
Petersen, R. C., Stevens, J. C., Ganguli, M., Tangalos, E. G., Cummings, J. L., & DeKosky, S. T. (2001) · Neurology · doi:10.1212/wnl.56.9.1133 · Cited by 2,065 · see citing works
The Alzheimer's Disease Neuroimaging Initiative
Mueller, S. G., Weiner, M. W., Thal, L. J., Petersen, R. C., Jack, C., Jagust, W., Trojanowski, J. Q., Toga, A. W., & Beckett, L. (2005) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2005.09.008 · Cited by 1,525 · see citing works
Self-citationCSF markers for incipient Alzheimer's disease
Blennow, K., & Hampel, H. (2003) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00530-1 · Cited by 1,291 · see citing works
Mueller, S. G., Weiner, M. W., Thal, L. J., Petersen, R. C., Jack, C. R., Jagust, W., Trojanowski, J. Q., Toga, A. W., & Beckett, L. (2005) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2005.06.003 · Cited by 1,233 · see citing works
Self-citationDeformable templates using large deformation kinematics
Christensen, G. E., Rabbitt, R. D., & Miller, M. I. (1996) · IEEE Transactions on Image Processing · doi:10.1109/83.536892 · Cited by 1,146 · see citing works
Dynamics of Gray Matter Loss in Alzheimer's Disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G., Janke, A. L., Rose, S. E., Semple, J., Herman, D., Hong, M. S., Dittmer, S. S., Doddrell, D. M., et al. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00994.2003 · Cited by 1,132 · see citing works
Self-citationMild cognitive impairment in the elderly: Predictors of dementia
Flicker, C., Ferris, S. H., & Reisberg, B. (1991) · Neurology · doi:10.1212/wnl.41.7.1006 · Cited by 838 · 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 · cited 1× · see citing works
“As noted in Weiner (2008), ventricular expansion correlates more strongly with changes on cognitive tests than medial temporal lobe (MTL) atrophy rates (Jack et al., 2004).”
Motter, R., Vigo‐Pelfrey, C., Kholodenko, D., Barbour, R., Johnson‐Wood, K., Galasko, D., Chang, L., Miller, B., Clark, C., Green, R., et al. (1995) · Annals of Neurology · doi:10.1002/ana.410380413 · Cited by 701 · see citing works
Cortical thickness analysis examined through power analysis and a population simulation
Lerch, J. P., & Evans, A. C. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.045 · Cited by 697 · see citing works
Mapping hippocampal and ventricular change in Alzheimer disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G. I., Janke, A. L., Rose, S., Semple, J. M., Hong, M., Herman, D. H., Gravano, D. M., Doddrell, D. M., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.040 · Cited by 608 · see citing works
Self-citationEvaluation of CSF-tau and CSF-Aβ42 as diagnostic markers for Alzheimer disease in clinical practice
Andreasen, N., Minthon, L., Davidsson, P., Vanmechelen, E., Vanderstichele, H., Winblad, B., & Blennow, K. (2001) · Archives of Neurology · doi:10.1001/archneur.58.3.373 · Cited by 573 · see citing works
Nestor, S. M., Rupsingh, R., Borrie, M., Smith, M., Accomazzi, V., Wells, J. L., Fogarty, J., Bartha, R., & Initiative, T. A. D. N. (2008) · Brain · doi:10.1093/brain/awn146 · Cited by 543 · see citing works
Fox, N. C., Crum, W. R., Scahill, R. I., Stevens, J. M., Janssen, J. C., & Rossor, M. N. (2001) · The Lancet · doi:10.1016/s0140-6736(01)05408-3 · Cited by 455 · see citing works
Reduced hippocampal volumes and memory loss in patients with early- and late-onset depression
Hickie, I., Naismith, S., Ward, P. B., Turner, K., Scott, E., Mitchell, P., Wilhelm, K., & Parker, G. (2005) · British Journal of Psychiatry · doi:10.1192/bjp.186.3.197 · Cited by 437 · see citing works
Hampel, H., Buerger, K., Zinkowski, R., Teipel, S. J., Goernitz, A., Andreasen, N., Sjoegren, M., DeBernardis, J., Kerkman, D., Ishiguro, K., et al. (2004) · Archives of General Psychiatry · doi:10.1001/archpsyc.61.1.95 · Cited by 434 · see citing works
Hua, X., Leow, A., Parikshak, N., Lee, S., Chiang, M.-C., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.013 · Cited by 359 · see citing works
Self-citationClark, C. M., Xie, S., Chittams, J., Ewbank, D., Peskind, E., Galasko, D., Morris, J. C., McKeel, D. W., Farlow, M., Weitlauf, S. L., et al. (2003) · Archives of Neurology · doi:10.1001/archneur.60.12.1696 · Cited by 357 · see citing works
Self-citationBiomarkers of neurodegeneration for diagnosis and monitoring therapeutics
Shaw, L. M. J., Korecka, M., Clark, C. M., Lee, V. M. ‐., & Trojanowski, J. Q. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2176 · Cited by 339 · see citing works
Self-citationBell-McGinty, S., Butters, M. A., Meltzer, C. C., Greer, P. J., Reynolds, C. F., & Becker, J. T. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.8.1424 · Cited by 338 · see citing works
Tau phosphorylation and aggregation in Alzheimer's disease pathology
Ávila, J. (2006) · FEBS Letters · doi:10.1016/j.febslet.2006.02.067 · Cited by 283 · see citing works
Changes in premorbid brain volume predict Alzheimer’s disease pathology
Silbert, L. C., Quinn, J. F., Moore, M. M., Corbridge, E., Ball, M. J., MURDOCH, G. H., Sexton, G. J., & Kaye, J. A. (2003) · Neurology · doi:10.1212/01.wnl.0000079053.77227.14 · Cited by 280 · see citing works
Büerger, K., Zinkowski, R. P., Teipel, S. J., Tapiola, T., Arai, H., Blennow, K., Andreasen, N., Hofmann‐Kiefer, K., DeBernardis, J. F., Kerkman, D. J., et al. (2002) · Archives of Neurology · doi:10.1001/archneur.59.8.1267 · Cited by 275 · see citing works
Itoh, N., Arai, H., Urakami, K., Ishiguro, K., Ohno, H., Hampel, H., Buerger, K., Wiltfang, J., Otto, M., Kretzschmar, H., et al. (2001) · Annals of Neurology · doi:10.1002/ana.1054 · Cited by 256 · see citing works
CSF tau protein phosphorylated at threonine 231 correlates with cognitive decline in MCI subjects
Büerger, K., Teipel, S. J., Zinkowski, R. P., Blennow, K., Arai, H., Engel, R. R., Hofmann‐Kiefer, K., McCulloch, C., Ptok, U., Heun, R., et al. (2002) · Neurology · doi:10.1212/wnl.59.4.627 · Cited by 255 · see citing works
Thompson, P. M., Schwartz, C., & Toga, A. W. (1996) · NeuroImage · doi:10.1006/nimg.1996.0003 · Cited by 226 · see citing works
Self-citationHippocampal Morphology and Distinguishing Late-Onset From Early-Onset Elderly Depression
Ballmaier, M., Narr, K. L., Toga, A. W., Elderkin-Thompson, V., Thompson, P. M., Hamilton, L., Haroon, E., Pham, D., Heinz, A., & Kumar, A. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2007.07030506 · Cited by 226 · see citing works
Self-citationMorra, J. H., Tu, Z., Apostolova, L. G., Green, A. E., Avedissian, C., Madsen, S. K., Parikshak, N., Hua, X., Toga, A. W., Jack, C. R., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20708 · Cited by 212 · see citing works
Self-citationMorra, J. H., Tu, Z., Apostolova, L. G., Green, A. E., Avedissian, C., Madsen, S. K., Parikshak, N., Hua, X., Toga, A. W., Jack, C. R., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.003 · Cited by 199 · see citing works
Self-citationSkoog, I., Davidsson, P., Aevarsson, Ó., Vanderstichele, H., Vanmechelen, E., & Blennow, K. (2003) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000068478 · Cited by 194 · see citing works
Regional Spatial Normalization: Toward an Optimal Target
Kochunov, P. V., Lancaster, J. L., Thompson, P. M., Woods, R. P., Mazziotta, J. C., Hardies, J., & Fox, P. T. (2001) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-200109000-00023 · Cited by 192 · see citing works
Self-citationMRI predictors of risk of incident Alzheimer disease
Stoub, T. R., Bulgakova, M., Leurgans, S. E., Bennett, D. A., Fleischman, D. A., Turner, D. A., & deToledo‐Morrell, L. (2005) · Neurology · doi:10.1212/01.wnl.0000160089.43264.1a · Cited by 188 · see citing works
Leow, A. D., Yanovsky, I., Parikshak, N., Hua, X., Lee, S., Toga, A. W., Jack, C. R., Bernstein, M. A., Britson, P. J., Gunter, J. L., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.004 · Cited by 180 · see citing works
Self-citation3D pattern of brain atrophy in HIV/AIDS visualized using tensor-based morphometry
Chiang, M.-C., Dutton, R. A., Hayashi, K. M., López, O. L., Aizenstein, H. J., Toga, A. W., Becker, J. T., & Thompson, P. M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.030 · Cited by 178 · see citing works
Self-citationVolumetric MRI vs clinical predictors of Alzheimer disease in mild cognitive impairment
Fleisher, A., Sun, S., Taylor, C., Ward, C., Gamst, A. C., Petersen, R. C., Jack, C. R., Aisen, P. S. S., & Thal, L. J. (2008) · Neurology · doi:10.1212/01.wnl.0000287091.57376.65 · Cited by 177 · see citing works
Hippocampal, caudate, and ventricular changes in Parkinson's disease with and without dementia
Apostolova, L. G., Beyer, M. K., Green, A. E., Hwang, K., Morra, J. H., Chou, Y., Avedissian, C., Aarsland, D., Janvin, C. C., Larsen, J. O., et al. (2010) · Movement Disorders · doi:10.1002/mds.22799 · Cited by 173 · see citing works
Self-citationHua, X., Leow, A., Lee, S., Klunder, A. D., Toga, A. W., Leporé, N., Chou, Y.-Y., Brun, C., Chiang, M. Y.-H., & Marina Barysheva, A. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.010 · Cited by 169 · see citing works
Self-citationHippocampal volume change in depression: Late- and early-onset illness compared
Lloyd, A. J., Ferrier, I. N., Barber, R., Gholkar, A. R., Young, A. H., & O'Brien, J. T. (2004) · The British Journal of Psychiatry · doi:10.1192/bjp.184.6.488 · Cited by 165 · see citing works
Studholme, C., Drapaca, C. S., Iordanova, B. E., & Cardenas, V. A. (2006) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2006.872745 · Cited by 164 · see citing works
Measuring atrophy in Alzheimer disease
Schott, J. M., Price, S. L., Frost, C. D., Whitwell, J. L., Rossor, M. N., & Fox, N. C. (2005) · Neurology · doi:10.1212/01.wnl.0000167542.89697.0f · Cited by 162 · see citing works
Trajectories of brain loss in aging and the development of cognitive impairment
Carlson, N. E., Moore, M. M., Dame, A., Howieson, D., Silbert, L. C., Quinn, J. F., & Kaye, J. A. (2008) · Neurology · doi:10.1212/01.wnl.0000280577.43413.d9 · Cited by 144 · see citing works
Narr, K. L., Thompson, P. M., Sharma, T., Moussai, J., Blanton, R. E., Anvar, B., Edris, A., Krupp, R., Rayman, J., Khaledy, M., et al. (2001) · Biological Psychiatry · doi:10.1016/s0006-3223(00)01120-3 · Cited by 137 · see citing works
Self-citationIncreased cerebrospinal fluid tau in patients with Alzheimer's disease
Jensen, M., Basun, H., & Lannfelt, L. (1995) · Neuroscience Letters · doi:10.1016/0304-3940(95)11297-a · Cited by 131 · see citing works
Detection and mapping of hippocampal abnormalities in autism
Nicolson, R., DeVito, T. J., Vidal, C. N., Sui, Y., Hayashi, K. M., Drost, D. J., Williamson, P., Rajakumar, N., Toga, A. W., & Thompson, P. M. (2006) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2006.02.005 · Cited by 124 · see citing works
Self-citationCSF Phosphorylated Tau Protein and Mild Cognitive Impairment: A Prospective Study
Arai, H., Ishiguro, K., Ohno, H., Moriyama, M., Itoh, N., Okamura, N., Matsui, T., Morikawa, Y.-I., Horikawa, E., Kohno, H., et al. (2000) · Experimental Neurology · doi:10.1006/exnr.2000.7501 · Cited by 123 · see citing works
Deformation tensor morphometry of semantic dementia with quantitative validation
Studholme, C., Cardenas, V. A., Blumenfeld, R., Schuff, N. W., Rosen, H. J., Miller, B. L., & Weiner, M. W. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.009 · Cited by 116 · see citing works
Self-citationBrain-specific proteins in cerebrospinal fluid for the diagnosis of neurodegenerative diseases
Verbeek, M., de Jong, D., & Kremer, H. (2003) · Annals of Clinical Biochemistry · doi:10.1258/000456303321016141 · Cited by 116 · see citing works
A Unified Information-Theoretic Approach to Groupwise Non-rigid Registration and Model Building
Twining, C., Cootes, T. F., Marsland, S., et al. (2005) · Lecture notes in computer science · doi:10.1007/11505730_1 · Cited by 115 · see citing works
Cerebrospinal fluid biomarkers for disease stage and intensity in cognitively impaired patients
Wahlund, L.-O., & Blennow, K. (2003) · Neuroscience Letters · doi:10.1016/s0304-3940(02)01483-0 · Cited by 114 · see citing works
Plaque and tangle imaging and cognition in normal aging and Alzheimer's disease
Braskie, M. N., Klunder, A. D., Hayashi, K. M., Protas, H. D., Kepe, V., Miller, K. J., Huang, S.-C., Barrio, J. R., Ercoli, L. M., Siddarth, P., et al. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.09.012 · Cited by 114 · see citing works
Self-citationShape differences of the brain ventricles in Alzheimer's disease
Ferrarini, L., Palm, W. M., Olofsen, H., van Buchem, M. A., Reiber, J. H. C., & Behloul, F. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.048 · Cited by 113 · see citing works
Ventricular volume and dementia progression in the Cardiovascular Health Study
Carmichael, O. T., Kuller, L. H., López, O. L., Thompson, P. M., Dutton, R. A., Lu, A. P., Lee, S. E., Lee, J. Y., Aizenstein, H. J., MELTZER, C. C., et al. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.01.006 · Cited by 110 · see citing works
Self-citationKukull, W. A., & Bowen, J. D. (2002) · Medical Clinics of North America · doi:10.1016/s0025-7125(02)00010-x · Cited by 106 · see citing works
Carmichael, O. T., Kuller, L. H., López, O. L., Thompson, P. M., Dutton, R. A., Lu, A. P., Lee, S. E., Lee, J. Y., Aizenstein, H. J., MELTZER, C. C., et al. (2007) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e318032d2b1 · Cited by 101 · see citing works
Self-citation3D comparison of low, intermediate, and advanced hippocampal atrophy in MCI
Apostolova, L. G., Thompson, P. M., Green, A. E., Hwang, K., Zoumalan, C., Jack, C. R., Harvey, D. J., Petersen, R. C., Thal, L. J., Aisen, P. S. S., et al. (2010) · Human Brain Mapping · doi:10.1002/hbm.20905 · Cited by 100 · see citing works
Self-citationPredicting the rate of cognitive decline in aging and early Alzheimer disease
Adak, S., Illouz, K., Gorman, W., Tandon, R., Zimmerman, E. A., Guariglia, R., Moore, M. M., & Kaye, J. A. (2004) · Neurology · doi:10.1212/01.wnl.0000132520.69612.ab · Cited by 91 · see citing works
Mapping brain size and cortical gray matter changes in elderly depression
Ballmaier, M., Sowell, E. R., Thompson, P. M., Kumar, A., Narr, K. L., Lavretsky, H., Welcome, S. E., DeLuca, H., & Toga, A. W. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2003.09.004 · Cited by 91 · see citing works
Self-citationQuantitative magnetic resonance techniques as surrogate markers of Alzheimer’s disease
Kantarci, K., & Jack, C. R. (2004) · NeuroRX · doi:10.1602/neurorx.1.2.196 · Cited by 80 · see citing works
Chou, Y.-Y., Leporé, N., de Zubicaray, G. I., Carmichael, O. T., Becker, J. T., Toga, A. W., & Thompson, P. M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.047 · Cited by 73 · see citing works
Self-citationComputational anatomical methods as applied to ageing and dementia
Thompson, P. M., & Apostolova, L. G. (2007) · British Journal of Radiology · doi:10.1259/bjr/20005470 · Cited by 66 · see citing works
Self-citationMean Template for Tensor-Based Morphometry Using Deformation Tensors
Leporé, N., Brun, C., Pennec, X., Chou, Y., López, O. L., Aizenstein, H. J., Becker, J. T., Toga, A. W., & Thompson, P. M. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-75759-7_100 · Cited by 65 · see citing works
Self-citationProgress from Alzheimer's tangles to pathological tau points towards more effective therapies now
Lee, V., & Trojanowski, J. (2006) · Journal of Alzheimer's Disease · doi:10.3233/jad-2006-9s328 · Cited by 57 · see citing works
Self-citationVentricular shape biomarkers for Alzheimer's disease in clinical MR images
Ferrarini, L., Palm, W. M., Olofsen, H., van der Landen, R., van Buchem, M. A., Reiber, J. H. C., & Behloul, F. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21471 · Cited by 55 · see citing works
Ferrarini, L., Palm, W. M., Olofsen, H., van der Landen, R., Blauw, G. J., Westendorp, R. G. J., Bollen, E. L. E. M., Middelkoop, H. A. M., Reiber, J. H. C., van Buchem, M. A., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.11.003 · Cited by 54 · see citing works
Gunter, J. L., Bernstein, M. A., Borowski, B., Felmlee, J. P., Blezek, D. J., Mallozzi, R. P., Levy, J. R., & Schuff, N. W. (2006) · Cited by 42 · see citing works
GAMEs: Growing and adaptive meshes for fully automatic shape modeling and analysis
FERRARINI, L., Olofsen, H., Palm, W. M., et al. (2007) · Medical Image Analysis · doi:10.1016/j.media.2007.03.006 · Cited by 41 · see citing works
Kochunov, P. V., Lancaster, J. L., Hardies, J., et al. (2005) · Human Brain Mapping · doi:10.1002/hbm.20090 · Cited by 41 · see citing works
Acceleration of cerebral ventricular expansion in the Cardiovascular Health Study
Carmichael, O. T., Kuller, L. H., López, O. L., Thompson, P. M., Dutton, R. A., Lu, A. P., Lee, S. E., Lee, J. Y., Aizenstein, H. J., MELTZER, C. C., et al. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.06.016 · Cited by 27 · see citing works
Self-citationCarmichael, O. T., Thompson, P. M., Dutton, R. A., Lu, A. P., Lee, S. E., Lee, J. Y., Kuller, L. H., López, O. L., Aizenstein, H. J., CidisMeltzer, C., et al. (2006) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2006.1624916 · Cited by 27 · see citing works
Self-citationPowell, A. L., Mezrich, R. S., & Wang, J.-Z. (1991) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000107174 · Cited by 22 · see citing works
Expanding ventricles may detect preclinical Alzheimer disease
Weiner, M. W. (2008) · Neurology · doi:10.1212/01.wnl.0000304743.72127.cc · Cited by 21 · see citing works
Self-citationHsu, Y., Schuff, N. W., Amend, D. L., Du, A., Norman, D. M., Chui, H. C., Jagust, W., & Weiner, M. W. (2002) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-200204000-00002 · Cited by 18 · see citing works
Self-citationWhitwell, J. L., Schott, J. M., Lewis, E. B., et al. (2004) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.01.057 · Cited by 15 · see citing works
Best individual template selection from deformation tensor minimization
Leporé, N., Brun, C., Chou, Y., et al. (2008) · IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI) · doi:10.1109/isbi.2008.4541032 · Cited by 11 · see citing works
Self-citationComputed tomography and lateral ventricular asymmetry: clinical and brain structural correlates.
Grosman, H., Stein, M. G., Perrin, R. C., et al. (1990) · PubMed · Cited by 10 · see citing works
Best individual template selection from deformation tensor minimization
Leporé, N., Brun, C., Chou, Y. Y., et al. (2008) · Cited by 7 · see citing works
Self-citationWang, Y., Zhang, J., Chan, T. F., et al. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)70837-7 · Cited by 4 · see citing works
Can tissue segmentation improve registration? A study of 92 twins
Chou, Y.-C., Leporé, N., Brun, C., et al. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)71155-3 · Cited by 3 · see citing works
Self-citationMultivariate Statistics of Tensor-Based Cortical Surface Morphometry
Wang, Y., Gu, X., Chan, T. F.-C., et al. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)70850-x · Cited by 2 · see citing works
Apostolova, L. G., Beyer, M. K., Green, A. E., et al. (2008) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2008.05.2616 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Gramkow C 1996 Registration of 2D and 3D medical images Master’s thesis, Danish Technical University Copenhagen, Denmark
- Thompson PM Hayashi KM de Zubicaray G Janke AL Rose SE Semple J 2004a Dynamics of gray matter loss in Alzheimer’s disease J Neurosci 23 994 1005 12574429 PMC6741905
Cited by
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The Alzheimer’s Disease Clinical Spectrum
Atri, A. (2019) · Medical Clinics of North America · doi:10.1016/j.mcna.2018.10.009 · Cited by 623 · see citing works
Total and phosphorylated tau protein as biological markers of Alzheimer’s disease
Hampel, H., Blennow, K., Shaw, L. M., Hoessler, Y. C., Zetterberg, H., & Trojanowski, J. Q. (2010) · Experimental Gerontology · doi:10.1016/j.exger.2009.10.010 · Cited by 389 · see citing works
Self-citationWeiner, 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
Self-citationCurrent and future treatments in Alzheimer’s disease
Atri, A. (2019) · Seminars in Neurology · doi:10.1055/s-0039-1678581 · Cited by 309 · 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
Self-citationKohler, C., Radpour, R., Barekati, Z., Asadollahi, R., Bitzer, J., Wight, E., Bürki, N., Diesch, C., Holzgreve, W., & Zhong, X. Y. (2009) · Molecular Cancer · doi:10.1186/1476-4598-8-105 · Cited by 215 · see citing works
Boosting power for clinical trials using classifiers based on multiple biomarkers
Kohannim, O., Hua, X., Hibar, D. P., Lee, S., Chou, Y.-Y., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.022 · Cited by 190 · see citing works
“…mild; there is also substantial cross-subject variation in ventricular volume, even in healthy subjects (Chou et al., 2009b), and this may throw off a classifier’s accuracy unless the disease effect outweighs this natural variation (Chou et al., 2008;Chou et al., 2009a;Chou et al., 2009b).”
InfluentialSelf-citationRoussotte, F. F., Gutman, B. A., Madsen, S. K., Colby, J. B., Thompson, P. M., & Initiative, F. T. A. D. N. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.5236-13.2014 · Cited by 63 · see citing works
Self-citationHeritability 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
Tau in Late-Life Depression: A Systematic Review and Meta-Analysis
Brown, E. E., Iwata, Y., Chung, J. K., Gerretsen, P., & Graff-Guerrero, A. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-160401 · Cited by 29 · 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
- Authors
- 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., & Thompson, P. M.
- Affiliations
- University of California, Los Angeles (US)
- University of Pennsylvania (US)
- University of California, San Francisco (US)
- Corresponding author
- Thompson, Paul M.
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2009-06
- Volume
- 46
- Issue
- 2
- Pages
- 394-410
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC2696357
- OpenAlex
- W2017516371
- Cited by
- 117
- References
- 93
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 4 · 2023: 3 · 2022: 4 · 2021: 7 · 2020: 4 · 2019: 7 · 2018: 2 · 2017: 4 · 2016: 6 · 2015: 5 · 2014: 9 · 2013: 12 · 2012: 3
- FWCI
- 8.45
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Center for Research Resources (AG016570, EB01651, LM05639, RR019771)
- National Institutes of Health (U01 AG024904)
- Pfizer
- Foundation for the National Institutes of Health
- GlaxoSmithKline
- National Institute on Aging
- Alzheimer's Disease Neuroimaging Initiative
- U.S. National Library of Medicine
- National Institute of Biomedical Imaging and Bioengineering
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, mild cognitive impairment, ventriculomegaly, lateral ventricle, cerebrospinal fluid biomarkers, amyloid-beta, tau protein, multi-atlas segmentation, cognitive decline, depression, sample size determination, Alzheimer's Disease Neuroimaging Initiative, brain atrophy, Clinical Dementia Rating, Mini-Mental State Examination, false discovery rate
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, California, Cerebral Ventricles, Cognition Disorders, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Reference Values, Sensitivity and Specificity, Statistics as Topic, Reproducibility of Results, Biomarkers, Comorbidity, Incidence, Amyloid beta-Peptides, tau Proteins
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.
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