Cortical surface-based analysis reduces bias and variance in kinetic modeling of brain PET data
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Exploratory (i.e., voxelwise) spatial methods are commonly used in neuroimaging to identify areas that show an effect when a region-of-interest (ROI) analysis cannot be performed because no strong a priori anatomical hypothesis exists. However, noise at a single voxel is much higher than noise in a ROI making noise management critical to successful exploratory analysis. This work explores how preprocessing choices affect the bias and variability of voxelwise kinetic modeling analysis of brain positron emission tomography (PET) data. These choices include the use of volume- or cortical surface-based smoothing, level of smoothing, use of voxelwise partial volume correction (PVC), and PVC masking threshold. PVC was implemented using the Muller-Gartner method with the masking out of voxels with low gray matter (GM) partial volume fraction. Dynamic PET scans of an antagonist serotonin-4 receptor radioligand ([(11)C]SB207145) were collected on sixteen healthy subjects using a Siemens HRRT PET scanner. Kinetic modeling was used to compute maps of non-displaceable binding potential (BPND) after preprocessing. The results showed a complicated interaction between smoothing, PVC, and masking on BPND estimates. Volume-based smoothing resulted in large bias and intersubject variance because it smears signal across tissue types. In some cases, PVC with volume smoothing paradoxically caused the estimated BPND to be less than when no PVC was used at all. When applied in the absence of PVC, cortical surface-based smoothing resulted in dramatically less bias and the least variance of the methods tested for smoothing levels 5mm and higher. When used in combination with PVC, surface-based smoothing minimized the bias without significantly increasing the variance. Surface-based smoothing resulted in 2-4 times less intersubject variance than when volume smoothing was used. This translates into more than 4 times fewer subjects needed in a group analysis to achieve similarly powered statistical tests. Surface-based smoothing has less bias and variance because it respects cortical geometry by smoothing the PET data only along the cortical ribbon and so does not contaminate the GM signal with that of white matter and cerebrospinal fluid. The use of surface-based analysis in PET should result in substantial improvements in the reliability and detectability of effects in exploratory PET analysis, with or without PVC.
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Partial volume correction was applied to the PET frame data using geometric transfer matrix method for ROI analyses and an extended Muller-Gartner method for surface-based analyses.
“Partial volume correction (PVC) was applied to the PET frame data using geometric transfer matrix (GTM) method for ROI analyses and an extended Muller–Gartner method (implemented in FS) for surface-based analyses [11].”
From Distinct tau neuropathology and cellular profiles of an APOE3 Christchurch homozygote protected against autosomal dominant Alzheimer’s dementia (2022) · cites this paper as [11]
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Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324 · see citing works
Self-citationCortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works
Self-citationFischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610 · see citing works
Self-citationCortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147 · see citing works
Self-citationMeasuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,789 · see citing works
Self-citationAutomatically Parcellating the Human Cerebral Cortex
Fischl, B. R. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg087 · Cited by 4,208 · see citing works
Self-citationAccurate and robust brain image alignment using boundary-based registration
Greve, D. N., & Fischl, B. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.060 · Cited by 3,553 · see citing works
Self-citationA hybrid approach to the skull stripping problem in MRI
Ségonne, F., Dale, A. M., Busa, E., Glessner, M., Salat, D. H., Hahn, H., & Fischl, B. R. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.032 · Cited by 2,227 · see citing works
Self-citationSimplified Reference Tissue Model for PET Receptor Studies
Lammertsma, A. A., & Hume, S. P. (1996) · NeuroImage · doi:10.1006/nimg.1996.0066 · Cited by 2,025 · see citing works
Rapid Automated Algorithm for Aligning and Reslicing PET Images
Woods, R. P., Cherry, S. R., & Mazziotta, J. C. (1992) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199207000-00024 · Cited by 1,932 · see citing works
Assessing the significance of focal activations using their spatial extent
Friston, K. J., Worsley, K. J., Frackowiak, R. S. J., Mazziotta, J. C., & Evans, A. C. (1994) · Human Brain Mapping · doi:10.1002/hbm.460010306 · Cited by 1,907 · see citing works
Thinning of the Cerebral Cortex in Aging
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851 · see citing works
Logan, J., Fowler, J. S., Volkow, N. D., Wolf, A. P., Dewey, S. L., Schlyer, D. J., MacGregor, R. R., HITZEMANN, R. J., Bendriem, B., Gatley, S. J., et al. (1990) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1990.127 · Cited by 1,481 · see citing works
Jovicich, J., Czanner, S., Greve, D. N., Haley, E., van der Kouwe, A. J. W., Gollub, R. L., Kennedy, D. N., Schmitt, F., Brown, G. G., MacFall, J. R., et al. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.046 · Cited by 1,269 · see citing works
Self-citationDickerson, B. C., Bakkour, A., Salat, D. H., Feczko, E., Pacheco, J., Greve, D. N., Grodstein, F., Wright, C. I., Blacker, D., Rosas, H. D., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn113 · Cited by 1,153 · see citing works
Self-citationGeometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops
Ségonne, F., Pacheco, J., & Fischl, B. R. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2006.887364 · Cited by 995 · see citing works
Self-citationCorrection for partial volume effects in PET: principle and validation.
ROUSSET, O. G., Ma, Y., & Evans, A. C. (1998) · PubMed · Cited by 919 · see citing works
Increased hippocampal activation in mild cognitive impairment compared to normal aging and AD
Dickerson, B. C., Salat, D. H., Greve, D. N., Chua, E. F., Rand-Giovannetti, E., Rentz, D. M., Bertram, L., Mullin, K., Tanzi, R. E., Blacker, D., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000171450.97464.49 · Cited by 910 · see citing works
Self-citationMüller‐Gärtner, H. W., Links, J. M., Prince, J. L., Bryan, R. N., McVeigh, E. R., Leal, J. P., Davatzikos, C. A., & Frost, J. J. (1992) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1992.81 · Cited by 756 · see citing works
Erlandsson, K., Buvat, I., Pretorius, P. H., Thomas, B. A., & Hutton, B. F. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/21/r119 · Cited by 731 · see citing works
Ichise, M., Liow, J., Lu, J., Takano, A., Modell, K. J., Toyama, H., Suhara, T., Suzuki, K., Innis, R. B., & Carson, R. E. (2003) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/01.wcb.0000085441.37552.ca · Cited by 651 · see citing works
Medial temporal lobe function and structure in mild cognitive impairment
Dickerson, B. C., Salat, D. H., Bates, J. F., Atiya, M., Killiany, R., Greve, D. N., Dale, A. M., Stern, C. E., Blacker, D., Albert, M., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20163 · Cited by 561 · see citing works
Self-citationComparison of Methods for Analysis of Clinical [ 11 C]Raclopride Studies
Lammertsma, A. A., Bench, C. J., Hume, S. P., Osman, S., Gunn, K. P., Brooks, D. J., & Frackowiak, R. S. J. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199601000-00005 · Cited by 460 · see citing works
Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging
Kalpouzos, G., Chételat, G., Baron, J.-C., Landeau, B., Mevel, K., Godeau, C., Barré, L., Constans, J.-M., Viader, F., Eustache, F., et al. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.019 · Cited by 392 · cited 1× · see citing works
“Kalpouzos et al., 2009a 14 mm 50% c FDG ECAT Exact HR+ 12 mm Kalpouzos et al., 2009b 14 mm 50% c FDG ECAT Exact HR+ 12 mm Bourgeat et al., 2010 12 mm ? c 11 C-PIB Allegro ?”
Amyloid‐β associated cortical thinning in clinically normal elderly
Becker, J. A., Hedden, T., Carmasin, J., Maye, J., Rentz, D. M., Putcha, D., Fischl, B., Greve, D. N., Marshall, G. A., Salloway, S., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22333 · Cited by 342 · see citing works
Self-citationDirect voxel-based comparison between grey matter hypometabolism and atrophy in Alzheimer's disease
Chételat, G., Desgranges, B., Landeau, B., Mézenge, F., Poline, J.-B., Sayette, V. D. L., Viader, F., Eustache, F., & Baron, J. (2007) · Brain · doi:10.1093/brain/awm288 · Cited by 340 · see citing works
Correction of PET Data for Partial Volume Effects in Human Cerebral Cortex by MR Imaging
MELTZER, C. C., Leal, J. P., Mayberg, H. S., Wagner, H. N., & Frost, J. J. (1990) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199007000-00011 · Cited by 329 · see citing works
Thomas, B. A., Erlandsson, K., Marc Modat, A., Thurfjell, L., Vandenberghe, R. R., Sebastien Ourselin, A., & Hutton, B. F. (2011) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-011-1745-9 · Cited by 317 · see citing works
Hölzel, B. K., Hoge, E. A., Greve, D. N., Gard, T., Creswell, J. D., Brown, K. W., Barrett, L. F., Schwartz, C., Vaitl, D., & Lazar, S. W. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.03.011 · Cited by 281 · see citing works
Self-citationDissociating atrophy and hypometabolism impact on episodic memory in mild cognitive impairment
Chetelat, G. (2003) · Brain · doi:10.1093/brain/awg196 · Cited by 264 · see citing works
Impact of Image-Space Resolution Modeling for Studies with the High-Resolution Research Tomograph
Sureau, F. C., Reader, A. J., Comtat, C., Leroy, C., Ribeiro, M. J., Buvat, I., & Trébossen, R. (2008) · Journal of Nuclear Medicine · doi:10.2967/jnumed.107.045351 · Cited by 232 · see citing works
Quarantelli, M., Berkouk, K., Prinster, A., Landeau, B., Svarer, C., Balkay, L., Alfano, B., Brunetti, A., Baron, J., & Salvatore, M. (2004) · PubMed · Cited by 224 · see citing works
Self-citationBourgeat, P., Chételat, G., Villemagne, V. L., Fripp, J., Raniga, P., Pike, K., Acosta, O., Szoeke, C., Ourselin, S., Ames, D., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181c918b5 · Cited by 220 · see citing works
Partial Volume Correction Strategies in PET
ROUSSET, O. G., Rahmim, A., Alavi, A. A., & Zaidi, H. (2007) · PET Clinics · doi:10.1016/j.cpet.2007.10.005 · Cited by 188 · see citing works
Parietal and superior frontal visuospatial maps activated by pointing and saccades
Hagler, D. J., Riecke, L., & Sereno, M. I. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.01.033 · Cited by 182 · see citing works
Effects of intravenous glucose on dopaminergic function in the human brain in vivo
Haltia, L. T., Rinne, J. O., Merisaari, H., Maguire, R. P., Savontaus, E., Helin, S., Någren, K., & Kaasinen, V. (2007) · Synapse · doi:10.1002/syn.20418 · Cited by 148 · see citing works
MELTZER, C. C., Zubieta, J. K., Links, J. M., Brakeman, P., Stumpf, M. J., & Frost, J. J. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199607000-00016 · Cited by 143 · see citing works
Van Laere, K., Goffin, K., Casteels, C., Dupont, P., Mortelmans, L., de Hoon, J., & Bormans, G. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.053 · Cited by 142 · see citing works
Strother, S. C., Conte, S. L., Hansen, L. K., Anderson, J., Zhang, J., Pulapura, S. K., & Rottenberg, D. A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.022 · Cited by 134 · see citing works
Noninvasive quantification of dopamine D2 receptors with iodine-123-IBF SPECT.
Ichise, M., Ballinger, J. R., Golan, H., Vines, D. C., Luong, A., Tsai, S., & Kung, H. F. (1996) · PubMed · Cited by 133 · see citing works
Brain FDG PET study of normal aging in Japanese: effect of atrophy correction
Yanase, D., Matsunari, I., Yajima, K., Chen, W., Fujikawa, A., Nishimura, S., Matsuda, H., & Yamada, M. (2005) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-005-1767-2 · Cited by 104 · see citing works
5-HT2A receptor density is decreased in the at-risk mental state
Hurlemann, R., Matusch, A., Kuhn, K.-U., Berning, J., Elmenhorst, D., Winz, O., Kölsch, H., Zilles, K., Wagner, M., Maier, W., et al. (2007) · Psychopharmacology · doi:10.1007/s00213-007-0921-x · Cited by 98 · see citing works
Correction for partial-volume effects on brain perfusion SPECT in healthy men.
Matsuda, H., Ohnishi, T., Asada, T., Li, Z., Kanetaka, H., Imabayashi, E., Tanaka, F., & Nakano, S. (2003) · PubMed · Cited by 98 · see citing works
Samuraki, M., Matsunari, I., Chen, W.-P., Yajima, K., Yanase, D., Fujikawa, A., Takeda, N., Nishimura, S., Matsuda, H., & Yamada, M. (2007) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-007-0454-x · Cited by 92 · see citing works
Kinetic Modeling of 11C-SB207145 Binding to 5-HT4 Receptors in the Human Brain In Vivo
Marner, L., Gillings, N., Comley, R. A., Baaré, W. F. C., Rabiner, E. A., Wilson, A. A., Houle, S., Hasselbalch, S. G., Svarer, C., Gunn, R. N., et al. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.058552 · Cited by 91 · see citing works
Self-citationBrain imaging of serotonin 4 receptors in humans with [11C]SB207145-PET
Marner, L., Gillings, N., Madsen, K., Erritzøe, D., Baaré, W. F. C., Svarer, C., Hasselbalch, S. G., & Knudsen, G. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.054 · Cited by 87 · see citing works
Self-citationMevel, K., Desgranges, B., Baron, J., Landeau, B., Sayette, V. D. L., Viader, F., Eustache, F., & Chételat, G. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.048 · Cited by 87 · see citing works
Kochunov, P. V., Ramage, A. E., Lancaster, J. L., Robin, D. A., Narayana, S., Coyle, T. R., Royall, D. R., & Fox, P. T. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.010 · Cited by 82 · see citing works
Varnäs, K., Halldin, C., Pike, V. W., et al. (2003) · European Neuropsychopharmacology · doi:10.1016/s0924-977x(03)00009-9 · Cited by 79 · see citing works
Obesity is associated with high serotonin 4 receptor availability in the brain reward circuitry
Haahr, M. E., Rasmussen, P. M., Madsen, K. S., Marner, L., Ratner, C., Gillings, N., Baaré, W. F. C., & Knudsen, G. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.050 · Cited by 64 · see citing works
Self-citationSchadwinkel, S., & Gutschalk, A. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00461.2010 · Cited by 63 · see citing works
Park, H., Lee, J. D., Chun, J., Seok, J., Yun, M., Oh, M., & Kim, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.001 · Cited by 62 · see citing works
The 5‐HT4receptor levels in hippocampus correlates inversely with memory test performance in humans
Haahr, M. E., Fisher, P. M., Holst, K. K., Madsen, K., Jensen, C. G., Marner, L., Lehel, S., Baaré, W. F. C., Knudsen, G. M., & Hasselbalch, S. G. (2012) · Human Brain Mapping · doi:10.1002/hbm.22123 · Cited by 61 · see citing works
Self-citation5-HTTLPR status predictive of neocortical 5-HT4 binding assessed with [11C]SB207145 PET in humans
Fisher, P. M., Holst, K. K., Mahon, B. M., Haahr, M. E., Madsen, K., Gillings, N., Baaré, W. F. C., Jensen, P. S., & Knudsen, G. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.013 · Cited by 54 · see citing works
Self-citationBrain SPET abnormalities in Alzheimer's disease before and after atrophy correction
Matsuda, H., Kanetaka, H., Ohnishi, T., et al. (2002) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-002-0930-2 · Cited by 48 · see citing works
What approach to brain partial volume correction is best for PET/MRI?
Hutton, B. F., Thomas, B. A., Erlandsson, K., et al. (2012) · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · doi:10.1016/j.nima.2012.07.059 · Cited by 45 · see citing works
Curiati, P. K., Tamashiro-Duran, J. H., Duran, F., Buchpiguel, C. A., Squarzoni, P., Romano, D. C., Vallada, H., Menezes, P. R., Scazufca, M., Busatto, G. F., et al. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2321 · Cited by 43 · see citing works
Kalpouzos, G., Chételat, G., Landeau, B., Clochon, P., Viader, F., Eustache, F., & Desgranges, B. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.21027 · Cited by 42 · see citing works
Kraus, C., Hahn, A., Savli, M., Kranz, G. S., Baldinger, P., Höflich, A. S., Spindelegger, C., Ungersboeck, J., Haeusler, D., Mitterhauser, M., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.035 · Cited by 31 · see citing works
Inoue, K., Ito, H., Goto, R., Nakagawa, M., Kinomura, S., Sato, T., Sato, K., & Fukuda, H. (2005) · Annals of Nuclear Medicine · doi:10.1007/bf02984620 · Cited by 29 · see citing works
Effects of aging on 5‐HT2AR binding: a HRRT PET study with and without partial volume corrections
Uchida, H., Chow, T. W., Mamo, D. C., Kapur, S., Mulsant, B. H., Houle, S., Pollock, B. G., & Graff‐Guerrero, A. (2011) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2682 · Cited by 27 · see citing works
FDDNP binding using MR derived cortical surface maps
Protas, H. D., Huang, S.-C., Kepe, V., Hayashi, K., Klunder, A. D., Braskie, M. N., Ercoli, L. M., Bookheimer, S. Y., Thompson, P. M., Small, G. W., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.035 · Cited by 24 · see citing works
Worsley (1996) · doi:10.1002/(sici)1097-0193(1996)4:1
High-resolution intersubject averaging and a coordinate system for the cortical surface
Fischl, B., Sereno, M. I., Tootell, R. B. H., & Dale, A. M. (1999) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1999)8:4
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Madsen, M. K., Fisher, P. M., Burmester, D., Dyssegaard, A., Stenbæk, D. S., Kristiansen, S., Johansen, S. S., Lehel, S., Linnet, K., Svarer, C., et al. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0324-9 · Cited by 517 · see citing works
Self-citationA High-Resolution<i>In Vivo</i>Atlas of the Human Brain's Serotonin System
Beliveau, V., Ganz, M., Feng, L., Ozenne, B., Højgaard, L., Fisher, P. M., Svarer, C., Greve, D. N., & Knudsen, G. M. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2830-16.2016 · Cited by 368 · see citing works
Self-citationJacobs, H. I. L., Hedden, T., Schultz, A. P., Sepulcre, J., Perea, R. D., Amariglio, R. E., Papp, K. V., Rentz, D. M., Sperling, R. A., & Johnson, K. A. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0070-z · Cited by 270 · see citing works
MHC matching improves engraftment of iPSC-derived neurons in non-human primates
Morizane, A., Kikuchi, T., Hayashi, T., Mizuma, H., Takara, S., Doi, H., Mawatari, A., Glasser, M. F., Shiina, T., Ishigaki, H., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00926-5 · Cited by 244 · see citing works
Sanchez, J. S., Becker, J. A., Jacobs, H. I. L., Hanseeuw, B. J., Jiang, S., Schultz, A. P., Properzi, M. J., Katz, S. R., Beiser, A., Satizabal, C. L., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abc0655 · Cited by 200 · see citing works
Madsen, M. K., Fisher, P. M., Stenbæk, D. S., Kristiansen, S., Burmester, D., Lehel, S., Páleníček, T., Kuchař, M., Svarer, C., Ozenne, B., et al. (2020) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2020.02.001 · Cited by 183 · see citing works
Self-citationHall, B., Mak, E., Cervenka, S., Aigbirhio, F. I., Rowe, J. B., & O’Brien, J. T. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.03.002 · Cited by 132 · see citing works
Sepulveda-Falla, D., Sanchez, J. S., Almeida, M. C., Boassa, D., Acosta-Uribe, J., Vila-Castelar, C., Ramirez-Gomez, L., Baena, A., Aguillon, D., Villalba-Moreno, N. D., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-022-02467-8 · Cited by 92 · see citing works
Bevan-Jones, W. R., Cope, T. E., Jones, P. S., Passamonti, L., Hong, Y. T., Fryer, T. D., Arnold, R., Allinson, K. S. J., Coles, J. P., Aigbirhio, F. I., et al. (2018) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2017-316402 · Cited by 84 · see citing works
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Rauchmann, B. S., Schneider-Axmann, T., & Perneczky, R. (2021) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-325537 · Cited by 74 · see citing works
Sanchez, J. S., Hanseeuw, B. J., Lopera, F., Sperling, R. A., Baena, A., Bocanegra, Y., Aguillon, D., Guzmán-Vélez, E., Pardilla-Delgado, E., Ramirez-Gomez, L., et al. (2021) · Alzheimer's Research & Therapy · doi:10.1186/s13195-020-00765-5 · Cited by 58 · see citing works
White matter hyperintensities are associated with subthreshold amyloid accumulation
Moscoso, A., Rey-Bretal, D., Silva-Rodríguez, J., Aldrey, J. M., Cortés, J., Pías-Peleteiro, J., Ruibal, Á., & Aguiar, P. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116944 · Cited by 49 · see citing works
Belbin, O., Xiao, M.-F., Xu, D., Carmona-Iragui, M., Pegueroles, J., Benejam, B., Videla, L., Fernández, S., Barroeta, I., Nuñez-Llaves, R., et al. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00398-0 · Cited by 39 · see citing works
Lee, W. J., Yoon, C. W., Kim, S.-W., Jeong, H. J., Seo, S., Na, D. L., Noh, Y., & Seong, J.-K. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.606600 · Cited by 12 · see citing works
Martersteck, A., Ayala, I., Ohm, D. T., Spencer, C., Coventry, C., Weintraub, S., Bigio, E. H., Mesulam, M. M., Geula, C., & Rogalski, E. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01412-w · Cited by 9 · see citing works
- Authors
- Greve, D. N., Svarer, C., Fisher, P. M., Feng, L., Hansen, A. E., Baare, W., Rosen, B., Fischl, B., & Knudsen, G. M.
- Affiliations
- Harvard University (US)
- Rigshospitalet (DK)
- Hvidovre Hospital (DK)
- Corresponding author
- Greve, Douglas N.
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2014-05
- Volume
- 92
- Pages
- 225-236
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC4008670
- OpenAlex
- W2137226568
- Cited by
- 264
- References
- 64
- Citations by year
- 2026: 22 · 2025: 33 · 2024: 35 · 2023: 23 · 2022: 29 · 2021: 28 · 2020: 27 · 2019: 22 · 2018: 13 · 2017: 13 · 2016: 6 · 2015: 13
- FWCI
- 4.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Funders
- Lundbeck Foundation
- National Institutes of Health (5R01EB006758-04, 5R01NS052585-05, 5R21NS072652-02, P41-RR14075, R01RR16594-01A1)
- Capital Region of Denmark
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- partial volume correction, non-displaceable binding potential, 5-HT4 receptor, dynamic PET, bias and variance, exploratory analysis, interindividual variability
- MeSH terms
- Adult, Algorithms, Cerebral Cortex, Computer Simulation, Female, Humans, Image Enhancement, Kinetics, Male, Metabolic Clearance Rate, Models, Biological, Piperidines, Sensitivity and Specificity, Tissue Distribution, Reproducibility of Results, Artifacts, Radiopharmaceuticals, Receptors, Serotonin, 5-HT4, Positron-Emission Tomography, Young Adult
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