The DOI matches its Crossref record; 65 of the 67 references it cites were found in a registry or an index.
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Open accessAbstract
Voxel-based-morphometry (VBM) is a whole-brain, unbiased technique for characterizing regional cerebral volume and tissue concentration differences in structural magnetic resonance images. We describe an optimized method of VBM to examine the effects of age on grey and white matter and CSF in 465 normal adults. Global grey matter volume decreased linearly with age, with a significantly steeper decline in males. Local areas of accelerated loss were observed bilaterally in the insula, superior parietal gyri, central sulci, and cingulate sulci. Areas exhibiting little or no age effect (relative preservation) were noted in the amygdala, hippocampi, and entorhinal cortex. Global white matter did not decline with age, but local areas of relative accelerated loss and preservation were seen. There was no interaction of age with sex for regionally specific effects. These results corroborate previous reports and indicate that VBM is a useful technique for studying structural brain correlates of ageing through life in humans.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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 the citing paper
“Fractional anisotropy of SLF also varies between individuals, but less importantly, than volume (67, 68).”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [67]
In the citing paper
“This variability can be observed at different levels such as in cortical morphology, cytoarchitecture, task-evoked activation, or in dMRI connectivity pattern (65–68).”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [67]
In the citing paper
“from one individual to another, the volume of the SLF appears different.”
From Superior Longitudinal Fasciculus: A Review of the Anatomical Descriptions With Functional Correlates (2022) · cites this paper as [67]
In the citing paper
“VBM is an automated technique that allows for the examination of brain anatomy differences between groups at a voxel-wise level without requiring predefined regions of interest (ROIs) (Good et al., 2001).”
From Multimodal MRI combined with RNA sequencing reveals pathological signatures in the 9-month-old 3×Tg-AD mouse brain (2026) · cites this paper as Good et al., 2001
In the citing paper
“In spite of the objectivity of this method, studies led to somewhat contradictory results regarding the hippocampus: some authors have found this structure to be preserved with aging [29,31], whereas others have reported structural deterioration [38,81,84,87].”
From Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging (2009) · cites this paper as [29]
Citations
Cites
Statistical parametric maps in functional imaging: A general linear approach
Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. ‐., Frith, C. D., & Frackowiak, R. S. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020402 · Cited by 9,688
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Navigation-related structural change in the hippocampi of taxi drivers
Maguire, E. A., Gadian, D. G., Johnsrude, I. S., Good, C. D., Ashburner, J., Frackowiak, R. S. J., & Frith, C. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.070039597 · Cited by 3,225
Nonlinear spatial normalization using basis functions
Ashburner, J., & Friston, K. J. (1999) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1999)7:4 · Cited by 1,888
Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363
Raz, N. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.3.268 · Cited by 1,292
Detecting activations in PET and fMRI: levels of inference and power
Friston, K. J., Holmes, A., Poline, J.-B., Price, C. J., & Frith, C. D. (1996) · NeuroImage · doi:10.1006/nimg.1996.0074 · Cited by 1,148
Self-citationNonparametric Analysis of Statistic Images from Functional Mapping Experiments
Holmes, A. P., Blair, R. C., Watson, J. D. G., & Ford, I. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199601000-00002 · Cited by 894
The Young Adult Human Brain: An MRI-based Morphometric Analysis
Filipek, P. A., Richelme, C., Kennedy, D. N., & Caviness, V. S. (1994) · Cerebral Cortex · doi:10.1093/cercor/4.4.344 · Cited by 652
Isolating the neural mechanisms of age-related changes in human working memory
Bart Rypma, A., & D’Esposito, M. (2000) · Nature Neuroscience · doi:10.1038/74889 · Cited by 566
Flagged first, then by citations
2 of the 67 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Davatzikos, 1998, Mapping of image data to stereotaxic spaces: Applications to brain mapping, Hum. Brain Mapp., 6, 334, 10.1002/(SICI)1097-0193(1998)6:5/6<334::AID-HBM2>3.0.CO;2-7 · DOI
Cited by
Sorted by citations
Items 801–900 of 1,085
Neuroanatomy of Down Syndrome in vivo: A Model of Preclinical Alzheimer’s Disease
Teipel, S. J., & Hampel, H. J. (2006) · Behavior Genetics · doi:10.1007/s10519-006-9047-x · Cited by 134
Louapre, C., Perlbarg, V., García-Lorenzo, D., Urbanski, M., Benali, H., Assouad, R., Galanaud, D., Freeman, L. A., Bodini, B., Papeix, C., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22505 · Cited by 137
Gianaros, P. J., Greer, P. J., Ryan, C. M., & Jennings, J. R. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.003 · Cited by 134
Jacobson, S. C., Kelleher, I., Harley, M., Murtagh, A., Clarke, M. C., Blanchard, M. M., Connolly, C. G., O’Hanlon, E., Garavan, H., & Cannon, M. D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.015 · Cited by 144
Bora, E., Fornito, A., Yücel, M., & Pantelis, C. (2011) · Psychological Medicine · doi:10.1017/s0033291711001450 · Cited by 139
Mental time travel into the past and the future in healthy aged adults: An fMRI study
Viard, A., Chételat, G., Lebreton, K., Desgranges, B., Landeau, B., de La Sayette, V., Eustache, F., & Piolino, P. (2011) · Brain and Cognition · doi:10.1016/j.bandc.2010.10.009 · Cited by 133
Köbe, T., Witte, A. V., Schnelle, A., Lesemann, A., Fabian, S., Tesky, V. A., Pantel, J., & Flöel, A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.09.050 · Cited by 138
Chen, Q., Yang, W., Li, W., Wei, D., Li, H., Lei, Q., Zhang, Q., & Qiu, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.08.008 · Cited by 146
Adcock, M., Fankhauser, M., Post, J., Lutz, K., Zizlsperger, L., Luft, A. R., Guimar�ães, V., Schättin, A., & de Bruin, E. D. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2019.00321 · Cited by 149
Interindividual variability and lateralization of μ-opioid receptors in the human brain
Kantonen, T., Karjalainen, T., Isojärvi, J., Nuutila, P., Tuisku, J., Rinne, J. K. A., Hietala, J. A., Kaasinen, V., Kalliokoski, K. K., Scheinin, H., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116922 · Cited by 138
Nemoto, K., Ohnishi, T., Mori, T., Moriguchi, Y., Hashimoto, R., Asada, T., & Kunugi, H. (2006) · Neuroscience Letters · doi:10.1016/j.neulet.2005.11.067 · Cited by 131
Genetic Contributions to Human Gyrification: Sulcal Morphometry in Williams Syndrome
Kippenhan, J. S., Olsen, R. K., Mervis, C. Β., Morris, C. A., Kohn, P. D., Meyer‐Lindenberg, A., & Berman, K. F. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.1722-05.2005 · Cited by 133
Progressive changes of white matter integrity in schizophrenia revealed by diffusion tensor imaging
Mori, T., Ohnishi, T., Hashimoto, R., Nemoto, K., Moriguchi, Y., Noguchi, H., Nakabayashi, T., Hori, H., Harada, S., Saitoh, O., et al. (2007) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2006.09.004 · Cited by 132
Resting cerebral blood flow, attention, and aging
Bertsch, K., Hagemann, D., Hermes, M., Walter, C., Khan, R., & Naumann, E. (2009) · Brain Research · doi:10.1016/j.brainres.2009.02.053 · Cited by 135
Reduced cortical gray matter density in human MDMA (Ecstasy) users: a voxel-based morphometry study
Cowan, R. L., Lyoo, I. K., Sung, S. M., Ahn, K. H., Kim, M. J., Hwang, J., Haga, E., Vimal, R. L. P., Lukas, S. E., & Renshaw, P. F. (2003) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2003.07.001 · Cited by 132
General intelligence and memory span: Evidence for a common neuroanatomic framework
Colom, R., Jung, R. E., & Haier, R. J. (2007) · Cognitive Neuropsychology · doi:10.1080/02643290701781557 · Cited by 136
Bailey, J. A., Zatorre, R. J., & Penhune, V. B. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00527 · Cited by 145
Selection of the control group for VBM analysis: Influence of covariates, matching and sample size
Pell, G. S., Briellmann, R. S., Chan, C. H., Pardoe, H., Abbott, D. F., & Jackson, G. D. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.050 · Cited by 132
Structural MRI covariance patterns associated with normal aging and neuropsychological functioning
Brickman, A. M., Habeck, C. G., Zarahn, E., Flynn, J., & Stern, Y. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.12.016 · Cited by 132
Abe, O., Yamasue, H., Kasai, K., Yamada, H., Aoki, S., Iwanami, A., Ohtani, T., Masutani, Y., Kato, N., & Ohtomo, K. (2006) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2006.01.004 · Cited by 132
Hüfner, K., Binetti, C., Hamilton, D. A., Stephan, T., Flanagin, V. L., Linn, J., Labudda, K., Markowitsch, H. J., Glasauer, S., Jahn, K., et al. (2010) · Hippocampus · doi:10.1002/hipo.20801 · Cited by 137
Supekar, K., & Menon, V. (2015) · Molecular Autism · doi:10.1186/s13229-015-0042-z · Cited by 141
New tissue priors for improved automated classification of subcortical brain structures on MRI
Lorio, S., Fresard, S., Adaszewski, S., Kherif, F., Chowdhury, R., Frackowiak, R. S. J., Ashburner, J., Helms, G., Weiskopf, N., Lutti, A., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.062 · Cited by 132
Melloni, M., Billeke, P. B., Báez, S., Hesse, E., de la Fuente, L., Forno, G., Birba, A., Cordero, I. R. G., Serrano, C. M., Plastino, A., et al. (2016) · Brain · doi:10.1093/brain/aww231 · Cited by 137
Paul, R., Grieve, S., Niaura, R., David, S., Laidlaw, D., Cohen, R., Sweet, L., Taylor, G., Clark, R., Pogun, S., et al. (2008) · Nicotine & Tobacco Research · doi:10.1080/14622200701767829 · Cited by 129
Structural connectivity asymmetry in the neonatal brain
Ratnarajah, N., Rifkin-Graboi, A., Fortier, M. V., Chong, Y. S., Kwek, K., Saw, S.-M., Godfrey, K. M., Gluckman, P. D., Meaney, M. J., & Qiu, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.052 · Cited by 124
(2013) · Europe PMC (PubMed Central) · Cited by 129
Hu, X., Erb, M., Ackermann, H., Martin, J. A., Grodd, W., & Reiterer, S. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.024 · Cited by 134
Human brain structural change related to acute single exposure to sarin
Yamasue, H., Abe, O., Kasai, K., Suga, M., Iwanami, A., Yamada, H., Tochigi, M., Ohtani, T., Rogers, M. A., Sasaki, T., et al. (2006) · Annals of Neurology · doi:10.1002/ana.21024 · Cited by 132
Structural gray and white matter changes in patients with HIV
Küper, M., Rabe, K., Esser, S., Gizewski, E. R., Husstedt, I. W., Maschke, M., & Obermann, M. (2011) · Journal of Neurology · doi:10.1007/s00415-010-5883-y · Cited by 130
Altered Effective Connectivity within the Language Network in Primary Progressive Aphasia
Sonty, S., Mesulam, M. M., Weıntraub, S., Johnson, N., Parrish, T. B., & Gitelman, D. R. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.4127-06.2007 · Cited by 130
Reading Disorders in Primary Progressive Aphasia: a behavioral and neuroimaging study
Brambati, S., Ogar, J., Neuhaus, J., Miller, B., & Gorno-Tempini, M. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.02.033 · Cited by 123
Hafkemeijer, A., Altmann‐Schneider, I., de Craen, A. J. M., Slagboom, P. E., van der Grond, J., & Rombouts, S. A. R. B. (2014) · Aging Cell · doi:10.1111/acel.12271 · Cited by 134
Kamminga, J., Kumfor, F., Burrell, J. R., Piguet, O., Hodges, J. R., & Irish, M. (2015) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2014-309120 · Cited by 129
Takeuchi, H., Taki, Y., Asano, K., Asano, M., Sassa, Y., Yokota, S., Kotozaki, Y., Nouchi, R., & Kawashima, R. (2018) · Human Brain Mapping · doi:10.1002/hbm.24286 · Cited by 149
Brain Anatomy in Turner Syndrome: Evidence for Impaired Social and Spatial-Numerical Networks
Molko, N. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh042 · Cited by 129
ASsociation of gsk3β polymorphisms with brain structural changes in major depressive disorder
Inkster, B., Nichols, T. E., Saemann, P. G., Auer, D. P., Holsboer, F., Muglia, P., & Matthews, P. M. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.70 · Cited by 127
Impact of interacting functional variants in COMT on regional gray matter volume in human brain
Honea, R., Verchinski, B. A., Pezawas, L., Kolachana, B. S., Callicott, J. H., Mattay, V. S., Weinberger, D. R., & Meyer-Lindenberg, A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.064 · Cited by 128
Michielse, S., Coupland, N., Camicioli, R., Carter, R., Seres, P., Sabino, J., & Malykhin, N. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.019 · Cited by 144
Reduced cerebral gray matter and altered white matter in boys with D uchenne muscular dystrophy
Doorenweerd, N., Straathof, C. S. M., Dumas, E. M., Spitali, P., Ginjaar, I. B., Wokke, B. H. A., Schrans, D. G. M., van den Bergen, J. C., van Zwet, E. W., WEBB, A. G., et al. (2014) · Annals of Neurology · doi:10.1002/ana.24222 · Cited by 135
Grapheme-colour synaesthetes show increased grey matter volumes of parietal and fusiform cortex
Weiss, P. H., & Fink, G. R. (2008) · Brain · doi:10.1093/brain/awn304 · Cited by 134
Perfumers' expertise induces structural reorganization in olfactory brain regions
Delon‐Martin, C., Plailly, J., Fonlupt, P., Veyrac, A., & Royet, J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.044 · Cited by 138
Geerlings, M. I., Appelman, A. P. A., Vincken, K. L., Algra, A., Witkamp, T. D., Mali, W. P. T. M., & van der Graaf, Y. (2009) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2009.10.039 · Cited by 127
Voss, M. W., Erickson, K. I., Chaddock, L., Prakash, R. S., Colcombe, S. J., Morris, K. S., Doerksen, S. E., Hu, L., McAuley, E., & Kramer, A. F. (2008) · Brain Research · doi:10.1016/j.brainres.2008.09.051 · Cited by 137
Structural and Functional Brain Changes beyond Visual System in Patients with Advanced Glaucoma
Frezzotti, P., Giorgio, A., Motolese, I., Leucio, A. D., Iester, M., Motolese, E., Federico, A., & Stefano, N. D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0105931 · Cited by 136
An easy measure of compactness for 2D and 3D shapes
Bribiesca, E. (2007) · Pattern Recognition · doi:10.1016/j.patcog.2007.06.029 · Cited by 127
Taki, Y., Kinomura, S., Awata, S., Inoue, K., Sato, K., Ito, H., Goto, R., Uchida, S., Tsuji, I., Arai, H., et al. (2005) · Journal of Affective Disorders · doi:10.1016/j.jad.2005.08.003 · Cited by 127
Cerebellar Atrophy in Essential Tremor Using an Automated Segmentation Method
Cerasa, A., Messina, D. N., Nicoletti, G., Novellino, F., Lanza, P. L., Condino, F., Arabia, G., Salsone, M., & Quattrone, A. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1544 · Cited by 128
Ganzel, B. L., Kim, P., Glover, G. H., & Temple, E. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.010 · Cited by 127
Neeb, H., Zilles, K., & Shah, N. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.062 · Cited by 128
Regional white matter hyperintensities: aging, Alzheimer's disease risk, and cognitive function
Birdsill, A. C., Koscik, R. L., Jonaitis, E. M., Johnson, S. C., Okonkwo, O. C., Hermann, B. P., LaRue, A. A., Sager, M. A., & Bendlin, B. B. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.10.072 · Cited by 126
Dídac Vidal-piñeiro, A., eValls-Pedret, C., Fernández‐Cabello, S., Arenaza‐Urquijo, E. M., Sala-Llonch, R., Solana, E., Bargalló, N., Junqué, C., Ros, E., & Bartrés‐Faz, D. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00256 · Cited by 140
Mackey, A. P., Whitaker, K. J., & Bunge, S. A. (2012) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2012.00032 · Cited by 130
Mapping Individual Brain Networks Using Statistical Similarity in Regional Morphology from MRI
Kong, X., Liu, Z., Huang, L., Wang, X., Yang, Z., Zhou, G., Zhen, Z., & Liu, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0141840 · Cited by 121
Esposito, R., Cieri, F., Chiacchiaretta, P., Cera, N., Lauriola, M., Giannantonio, M. D., Tartaro, A., & Ferretti, A. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9686-y · Cited by 133
Age-Related Gray and White Matter Changes in Normal Adult Brains
Farokhian, F., Yang, C., Beheshti, I., Matsuda, H., & Wu, S. (2017) · Aging and Disease · doi:10.14336/ad.2017.0502 · Cited by 126
Fjell, A. M., Westlye, L. T., Amlien, I. K., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D. H., Greve, D. N., Fischl, B. R., et al. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0115-09.2009 · Cited by 131
Takeuchi, H., Taki, Y., Nouchi, R., Sekiguchi, A., Kotozaki, Y., Miyauchi, C. M., Yokoyama, R., Iizuka, K., Hashizume, H., Nakagawa, S., et al. (2012) · Brain Structure and Function · doi:10.1007/s00429-012-0485-3 · Cited by 125
Exploration of scanning effects in multi-site structural MRI studies
Chen, J., Liu, J., Calhoun, V. D., Vásquez, A. A., Zwiers, M. P., Gupta, C. N., Franke, B., & Turner, J. A. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.04.023 · Cited by 125
Aydın, K., Ucar, A., Oğuz, K. K., Okur, O., Agayev, A., Ünal, Z., Yilmaz, S., & Öztürk, C. (2007) · American Journal of Neuroradiology · doi:10.3174/ajnr.a0696 · Cited by 127
Selective sparing of brain tissue in postmenopausal women receiving hormone replacement therapy
Erickson, K. I., Colcombe, S. J., Raz, N., Korol, D. L., Scalf, P. E., WEBB, A. G., Cohen, N. J., McAuley, E., & Kramer, A. F. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.11.009 · Cited by 123
When, where, and how the corpus callosum changes in MCI and AD: A multimodal MRI study
Di Paola, M., Di Iulio, F., Cherubini, A., Blundo, C., Casini, A. R., Sancesario, G., Passafiume, D., Caltagirone, C., & Spalletta, G. (2010) · Neurology · doi:10.1212/wnl.0b013e3181d7d8cb · Cited by 153
The two-year progression of structural and functional cerebral MRI in amyotrophic lateral sclerosis
Menke, R., Proudfoot, M., Talbot, K., & Turner, M. R. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.12.025 · Cited by 124
Wen, W. X., Sachdev, P. S., Chen, X., & Anstey, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.057 · Cited by 122
Hoexter, M. Q., de Souza Duran, F. L., D'Alcante, C. C., Dougherty, D. D., Shavitt, R. G., Lopes, A. C., Diniz, J. B., Deckersbach, T., Batistuzzo, M. C., Bressan, R. A., et al. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2011.250 · Cited by 123
Clinical and anatomical heterogeneity in autistic spectrum disorder: a structural MRI study
Toal, F., Daly, E. M., Page, L., Deeley, Q., Hallahan, B., Bloemen, O., Cutter, W. J., Brammer, M. J., Curran, S., Robertson, D., et al. (2010) · Psychological Medicine · doi:10.1017/s0033291709991541 · Cited by 121
Manual activity shapes structure and function in contralateral human motor hand area
Granert, O., Peller, M., Gaser, C., Groppa, S., Hallett, M., Knutzen, A., Deuschl, G., Zeuner, K. E., & Siebner, H. R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.013 · Cited by 126
Surface‐based morphometry of the anterior cingulate cortex in first episode schizophrenia
Fornito, A., Yücel, M., Wood, S. J., Adamson, C. L., Velakoulis, D., Saling, M. M., McGorry, P. D., & Pantelis, C. (2007) · Human Brain Mapping · doi:10.1002/hbm.20412 · Cited by 123
Structural and metabolic changes in language areas linked to formal thought disorder.
Horn, H., Federspiel, A., Wirth, M., Müller, T. J., Wiest, R., Wang, J.-J., & Strik, W. (2009) · The British journal of psychiatry : the journal of mental science · doi:10.1192/bjp.bp.107.045633 · Cited by 124
The embodied mind: A review on functional genomic and neurological correlates of mind-body therapies
Muehsam, D. J., Lutgendorf, S. K., Mills, P. J., Rickhi, B., Chevalier, G., Bat, N., Chopra, D., & Gurfein, B. T. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.12.027 · Cited by 133
Recollection and familiarity in dense hippocampal amnesia: a case study.
Cipolotti, L., Bird, C., Good, T., MacManus, D., Rudge, P., & Shallice, T. (2006) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2005.05.014 · Cited by 126
Hybrid FMT–CT imaging of amyloid-β plaques in a murine Alzheimer's disease model
Hyde, D. E., DEKLEINE, R., MacLaurin, S. A., Miller, E. L., BROOKS, D., Krucker, T., & Ntziachristos, V. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.038 · Cited by 124
Influence of aging on brain gray and white matter changes assessed by conventional, MT, and DT MRI
Benedetti, B., Charil, A., Rovaris, M., Judica, E., Valsasina, P., Sormani, M. P., & Filippi, M. (2006) · Neurology · doi:10.1212/01.wnl.0000198510.73363.c6 · Cited by 119
Nieman, B. J., Flenniken, A. M., Adamson, S. L., Henkelman, R. M., & Sled, J. G. (2006) · Physiological Genomics · doi:10.1152/physiolgenomics.00217.2005 · Cited by 122
Winkler, A. M., Greve, D. N., Bjuland, K. J., Nichols, T. E., Sabuncu, M. R., Haberg, A. K., Skranes, J. S., & Rimol, L. M. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx308 · Cited by 118
Joel, D., Persico, A., Salhov, M., Berman, Z., Oligschläger, S., Meilijson, I., & Averbuch, A. Z. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00399 · Cited by 122
Kassubek, J., Juengling, F. D., Els, T., Spreer, J., Herpers, M., Krause, T., Moser, E. A., & Lücking, C. H. (2003) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(03)00106-0 · Cited by 128
Pain sensitivity is inversely related to regional grey matter density in the brain
Emerson, N. M., Zeidan, F., Lobanov, O. V., Hadsel, M. S., Martucci, K. T., Quevedo, A. S., Starr, C. J., Nahman-Averbuch, H., Weissman-Fogel, I., Granovsky, Y., et al. (2014) · Pain · doi:10.1016/j.pain.2013.12.004 · Cited by 121
Orbitofrontal volume reductions during emotion recognition in patients with major depression
Scheuerecker, J., Meisenzahl, E. M., Koutsouleris, N., Roesner, M., Schöpf, V., Linn, J., Wiesmann, M., Brückmann, H., Möller, H.-J., & Frodl, T. (2010) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.090076 · Cited by 124
Seidler, R. D., Erdeniz, B., Koppelmans, V., Hirsiger, S., Mérillat, S., & Jäncke, L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.023 · Cited by 122
Pydpiper: a flexible toolkit for constructing novel registration pipelines
Friedel, M., van Eede, M. C., Pipitone, J., Chakravarty, M. M., & Lerch, J. P. (2014) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2014.00067 · Cited by 121
Functional Connectivity Bias in the Prefrontal Cortex of Psychopaths
Contreras‐Rodríguez, O., Pujol, J., Batalla, I., Harrison, B. J., Soriano‐Mas, C., Deus, J., López‐Solà, M., Macià, D., Pera, V., Hernández‐Ribas, R., et al. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.03.007 · Cited by 121
Regional Gray Matter Atrophy in Patients with Parkinson Disease and Freezing of Gait
Tessitore, A., Amboni, M., Cirillo, G., Corbo, D., Picillo, M., Russo, A., Vitale, C., Santangelo, G., Erro, R., Cirillo, M., et al. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3066 · Cited by 129
Ladouceur, C. D., Almeida, J., Birmaher, B. B., Axelson, D., Nau, S., Kalas, C., Monk, K., Kupfer, D. J., & Phillips, M. L. (2008) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e318167656e · Cited by 123
Ries, M. L., Jabbar, B. M., Schmitz, T. W., Trivedi, M. A., Gleason, C. E., Carlsson, C. M., Rowley, H. A., Asthana, S., & Johnson, S. C. (2007) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617707070488 · Cited by 121
Voxel‐based analysis of MRI detects abnormal visual cortex in children and adults with amblyopia
Mendola, J. D., Conner, I. P., Roy, A., Chan, S., Schwartz, T. L., Odom, J. V., & Kwong, K. K. (2005) · Human Brain Mapping · doi:10.1002/hbm.20109 · Cited by 127
Barthélemy, J., Pichot, V., Dauphinot, V., Celle, S., Laurent, B., Garcin, A., Maudoux, D., Kerleroux, J., Lacour, J.-R., Kossovsky, M. P., et al. (2007) · Neuroepidemiology · doi:10.1159/000108914 · Cited by 124
Gong, Q., Sluming, V., Mayes, A. R., Keller, S. S., Barrick, T. R., Cezayirli, E., & Roberts, N. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.044 · Cited by 121
Karlsson, H. K., Tuulari, J. J., Hirvonen, J., Saunavaara, V., Parkkola, R. K., Hiltunen, J., Hannukainen, J. C., Soinio, M., Pham, T. T., Salminen, P. T. P., et al. (2013) · Obesity · doi:10.1002/oby.20386 · Cited by 120
A study of bipolar disorder using magnetization transfer imaging and voxel-based morphometry
Bruno, S. D. (2004) · Brain · doi:10.1093/brain/awh274 · Cited by 118
Ziolko, S. K., Weissfeld, L. A., Klunk, W. E., Mathis, C. A., Hoge, J. A., Lopresti, B. J., DeKosky, S. T., & Price, J. C. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.063 · Cited by 119
Characterization of Atrophic Changes in the Cerebral Cortex Using Fractal Dimensional Analysis
Initiative, A. T. A. D. N., King, R., George, A. T., Jeon, T., Hynan, L. S., Youn, T. S., Kennedy, D. N., & Dickerson, B. C. (2009) · Brain Imaging and Behavior · doi:10.1007/s11682-008-9057-9 · Cited by 123
Cortical thickness correlates with impulsiveness in healthy adults
Schilling, C., Kühn, S., Romanowski, A., Schubert, F., Kathmann, N., & Gallinat, J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.058 · Cited by 124
Multisensory Integration and Aging
Mozolic, J. L., Hugenschmidt, C. E., Peiffer, A. M., & Laurienti, P. J. (2011) · Frontiers in neuroscience · doi:10.1201/b11092-25 · Cited by 117
Pagani, E., Agosta, F., Rocca, M. A., Caputo, D., & Filippi, M. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.021 · Cited by 123
Age-related decrease in recognition of emotional facial and prosodic expressions.
Lambrecht, L., Kreifelts, B., & Wildgruber, D. (2012) · Emotion · doi:10.1037/a0026827 · Cited by 120
Aguilar, E. J., García‐Martí, G., Martí‐Bonmatí, L., Lull, J. J., Moratal, D., Escartí, M. J., Robles, M., González, J. C., Guillamón, M. I., & Sanjuán, J. (2008) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2008.06.016 · Cited by 117
Bergfield, K. L., Hanson, K. D., Chen, K., Teipel, S. J., Hampel, H. J., Rapoport, S. I., Moeller, J. R., & Alexander, G. E. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.051 · Cited by 119
Hua, X., Hibar, D. P., Ching, C. R. K., Boyle, C. P., Rajagopalan, P., Gutman, B. A., Leow, A., Toga, A. W., Jack, C. R., Harvey, D. J., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.086 · Cited by 114
Plessen, K. J., Bansal, R., & Peterson, B. S. (2009) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2009.07.005 · Cited by 120
Metadata
- Authors
- Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J.
- Affiliations
- UCL Queen Square Institute of Neurology (GB)
- MRC Cognition and Brain Sciences Unit (GB)
- National Hospital for Neurology and Neurosurgery (GB)
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2001-07
- Volume
- 14
- Issue
- 1
- Pages
- 21-36
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2118421222
- Cited by
- 4,561
- References
- 67
- Citations by year
- 2026: 63 · 2025: 84 · 2024: 92 · 2023: 97 · 2022: 144 · 2021: 188 · 2020: 188 · 2019: 158 · 2018: 180 · 2017: 195 · 2016: 209 · 2015: 244 · 2014: 213 · 2013: 282 · 2012: 273
- FWCI
- 63.17
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Wellcome Trust
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- brain aging, gray matter volume, white matter, cerebrospinal fluid, sex differences, insula, superior parietal gyrus, cingulate sulcus, amygdala, hippocampus, entorhinal cortex, structural MRI
- MeSH terms
- Adolescent, Adult, Aged, Aging, Atrophy, Brain, Brain Mapping, Cephalometry, Dominance, Cerebral, Female, Humans, Image Enhancement, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Reference Values, Sex Factors
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