The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Self-citationJenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Self-citationVoxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256
Self-citationNonrigid registration using free-form deformations: application to breast mr images
Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.796284 · Cited by 5,265
Self-citationA 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
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
Behrens, T. E. J., Johansen-Berg, H., Woolrich, M. W., Smith, S. M., Wheeler-Kingshott, C. A. M., Boulby, P. A., Barker, G. J., Sillery, E. L., Sheehan, K., Ciccarelli, O., et al. (2003) · Nature Neuroscience · doi:10.1038/nn1075 · Cited by 2,330
Self-citationLooking into the functional architecture of the brain with diffusion MRI.
Le Bihan, D. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1119 · Cited by 1,571
Applications of diffusion‐weighted and diffusion tensor MRI to white matter diseases – a review
Horsfield, M. A., & Jones, D. K. (2002) · NMR in Biomedicine · doi:10.1002/nbm.787 · Cited by 468
Diffusion tensor imaging of normal and injured developing human brain-a technical review
Neil, J., Miller, J., Mukherjee, P., & Hüppi, P. S. (2002) · NMR in Biomedicine · doi:10.1002/nbm.784 · Cited by 402
Cited by
Items 301–378 of 378
Grieve, S. M., Korgaonkar, M. S., Etkin, A., Harris, A., Koslow, S. H., Wisniewski, S., Schatzberg, A. F., Nemeroff, C. B., Gordon, E., & Williams, L. M. (2013) · Trials · doi:10.1186/1745-6215-14-224 · Cited by 44
Unique white matter microstructural patterns in ADHD presentations—a diffusion tensor imaging study
Svatkova, A., Nestrasil, I., Rudser, K., Goldenring Fine, J., Bledsoe, J., & Semrud‐Clikeman, M. (2016) · Human Brain Mapping · doi:10.1002/hbm.23243 · Cited by 44
“Since age critically affects DTI measurements in the developing brain [Lebel et al., 2008; Snook et al., 2005], the analysis was adjusted for age to control for possible age confounding.”
BackgroundThomas, C., Avram, A., Pierpaoli, C., & Baker, C. (2015) · Cortex · doi:10.1016/j.cortex.2015.01.023 · Cited by 44
Test-retest reliability and sample size estimates after MRI scanner relocation
Melzer, T. R., Keenan, R. J., Leeper, G. J., Kingston-Smith, S., Felton, S. A., Green, S. K., Henderson, K. J., Palmer, N. J., Shoorangiz, R., Almuqbel, M. M., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116608 · Cited by 43
Reproducibility of tract‐based white matter microstructural measures using the ENIGMA ‐ DTI protocol
Acheson, A., Wijtenburg, S. A., Rowland, L. M., Winkler, A., Mathias, C. W., Hong, L. E., Jahanshad, N., Patel, B., Thompson, P. M., McGuire, S. A., et al. (2017) · Brain and Behavior · doi:10.1002/brb3.615 · Cited by 43
White matter microstructural damage in Alzheimer's disease at different ages of onset
Canu, E., Agosta, F., Spinelli, E. G., Magnani, G., Marcone, A., Scola, E., Falautano, M., Comi, G., Falini, A., & Filippi, M. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.03.026 · Cited by 42
van der Marel, K., Klomp, A., Meerhoff, G. F., Schipper, P., Lucassen, P. J., Homberg, J. R., Dijkhuizen, R. M., & Reneman, L. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.169 · Cited by 42
Neuroanatomical Correlates of the Unity and Diversity Model of Executive Function in Young Adults
Smolker, H. R., Friedman, N. P., Hewitt, J. K., & Banich, M. T. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00283 · Cited by 42
Koch, K., Wagner, G., Schachtzabel, C., Schultz, C. C., Güllmar, D., Reichenbach, J. R., Sauer, H., Zimmer, C., & Schlösser, R. G. M. (2014) · Human Brain Mapping · doi:10.1002/hbm.22284 · Cited by 42
Operto, G., Molinuevo, J. L., Cacciaglia, R., Falcon, C., Brugulat-Serrat, A., Suárez-Calvet, M., Grau-Rivera, O., Bargalló, N., Morán, S., Esteller, M., et al. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101983 · Cited by 40
Sex differences in amygdala subregions: evidence from subregional shape analysis
Kim, H. J., Kim, N., Kim, S., Hong, S., Park, K., Lim, S., Park, J.-M., Na, B., Chae, Y., Lee, J., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.025 · Cited by 40
Structural Brain Correlations of Visuospatial and Visuoperceptual Tests in Parkinson’s Disease
Garcia-Diaz, A. I., Segura, B., Baggio, H. C., Marti, M. J., Valldeoriola, F., Compta, Y., Bargallo, N., Uribe, C., Campabadal, A., Abos, A., et al. (2018) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617717000583 · Cited by 39
Blood pressure and cerebral white matter share common genetic factors in Mexican Americans
Kochunov, P., Glahn, D. C., Lancaster, J., Winkler, A., Karlsgodt, K., Olvera, R. L., Curran, J. E., Carless, M. A., Dyer, T. D., Almasy, L., et al. (2011) · Hypertension · doi:10.1161/hypertensionaha.110.162206 · Cited by 38
van der Holst, H. M., Tuladhar, A. M., van Norden, A. G. W., de Laat, K. F., van Uden, I. W. M., van Oudheusden, L. J. B., Zwiers, M. P., Norris, D. G., Kessels, R. P. C., & de Leeuw, F. E. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.060 · Cited by 38
White matter microstructure is associated with language in children born very preterm
Mürner-Lavanchy, I. M., Kelly, C. E., Reidy, N., Doyle, L. W., Lee, K. J., Inder, T., Thompson, D. K., Morgan, A. T., & Anderson, P. J. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.09.020 · Cited by 38
van’t Westeinde, A., Karlsson, L., Thomsen Sandberg, M., Nordenström, A., Padilla, N., & Lajic, S. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz274 · Cited by 37
Sone, D., Sato, N., Ota, M., Maikusa, N., Kimura, Y., & Matsuda, H. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.09.017 · Cited by 36
Silva, A. I., Ulfarsson, M. O., Stefansson, H., Gustafsson, O., Walters, G. B., Linden, D. E. J., Wilkinson, L. S., Drakesmith, M., Owen, M. J., Hall, J., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.11.004 · Cited by 36
Riem, M. M. E., van Hoof, M. J., Garrett, A. S., Rombouts, S. A. R. B., van der Wee, N. J. A., van IJzendoorn, M. H., & Vermeiren, R. R. J. M. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.10.014 · Cited by 36
Melloni, E. M. T., Poletti, S., Vai, B., Bollettini, I., Colombo, C., & Benedetti, F. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.02.015 · Cited by 34
Wolf, D., 1, A. F. A. F. T. A. D. N. I., Fischer, F. U., Scheurich, A., & Fellgiebel, A. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150049 · Cited by 35
O'Dwyer, L., Lamberton, F., Matura, S., Scheibe, M., Miller, J., Rujescu, D., Prvulovic, D., & Hampel, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036024 · Cited by 34
van’t Westeinde, A., Karlsson, L., Nordenström, A., Padilla, N., & Lajic, S. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa340 · Cited by 34
Wang, D., Luo, Y., Mok, V. C. T., Chu, W. C. W., & Shi, L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.032 · Cited by 33
ADHD severity is associated with white matter microstructure in the subgenual cingulum
Cooper, M., Thapar, A., & Jones, D. K. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.02.012 · Cited by 33
A tract-specific approach to assessing white matter in preterm infants
Pecheva, D., Yushkevich, P., Batalle, D., Hughes, E., Aljabar, P., Wurie, J., Hajnal, J. V., Edwards, A. D., Alexander, D. C., Counsell, S. J., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.057 · Cited by 33
Tiwari, V. N., Jeong, J.-W., Wilson, B. J., Behen, M. E., Chugani, H. T., & Sundaram, S. K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.067 · Cited by 31
“TBSS (Smith et al., 2006)was conductedusing theMNI FA, AP,ML and SI maps of individual participants.”
Falgàs, N., Ruiz‐Peris, M., Pérez‐Millan, A., Sala‐Llonch, R., Antonell, A., Balasa, M., Borrego‐Écija, S., Ramos‐Campoy, O., Augé, J. M., Castellví, M., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.24925 · Cited by 32
Krishnan, M. L., Wang, Z., Silver, M., Boardman, J. P., Ball, G., Counsell, S. J., Walley, A. J., Montana, G., & Edwards, A. D. (2016) · Brain and Behavior · doi:10.1002/brb3.434 · Cited by 28
Investigation of resolution effects using a specialized diffusion tensor phantom
Bach, M., Fritzsche, K. H., Stieltjes, B., & Laun, F. B. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24774 · Cited by 32
Wang, X., Cuzon Carlson, V. C., Studholme, C., Newman, N., Ford, M. M., Grant, K. A., & Kroenke, C. D. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1919048117 · Cited by 31
Chung, S., Wang, X., Fieremans, E., Rath, J. F., Amorapanth, P., Foo, F.-Y. A., Morton, C. J., Novikov, D. S., Flanagan, S. R., & Lui, Y. W. (2019) · American Journal of Neuroradiology · doi:10.3174/ajnr.a6146 · Cited by 31
Guerreri, M., Palombo, M., Caporale, A., Fasano, F., Macaluso, E., Bozzali, M., & Capuani, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.044 · Cited by 31
Tovar-Moll, F., de Oliveira-Souza, R., Bramati, I. E., Zahn, R., Cavanagh, A., Tierney, M., Moll, J., & Grafman, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102656 · Cited by 30
Adverse childhood experiences and fronto-subcortical structures in the developing brain
Buimer, E. E. L., Brouwer, R. M., Mandl, R. C. W., Pas, P., Schnack, H. G., & Hulshoff Pol, H. E. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.955871 · Cited by 29
Traumatic brain injury in a community-based cohort of homeless and vulnerably housed individuals
Schmitt, T., Thornton, A. E., Rawtaer, I., Barr, A. M., Gicas, K. M., Lang, D. J., Vertinsky, A. T., Rauscher, A., Procyshyn, R. M., Buchanan, T., et al. (2017) · Journal of Neurotrauma · doi:10.1089/neu.2017.5076 · Cited by 27
The APOE ε 4 allele in relation to brain white‐matter microstructure in adulthood and aging
Nyberg, L., & Salami, A. (2014) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12099 · Cited by 28
Dong, G., Li, H., & Potenza, M. N. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00372 · Cited by 27
Wang, Z., Dai, Z., Shu, H., Liu, D., Guo, Q., He, Y., & Zhang, Z. (2017) · Journal of Alzheimer’s Disease · doi:10.3233/jad-160724 · Cited by 26
Lee, Y., Ha, J., Park, J., Lee, B., Moon, E., Chung, Y., Kim, J., Kim, H., Mun, C., Kim, T., et al. (2016) · Journal of Neuroimaging · doi:10.1111/jon.12207 · Cited by 26
Qiu, A., Oishi, K., Miller, M. I., Lyketsos, C. G., Mori, S., & Albert, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009811 · Cited by 26
Neurocognitive and psychiatric disorders‐related axonal degeneration in Parkinson’s disease
Andica, C., Kamagata, K., Hatano, T., Saito, Y., Uchida, W., Ogawa, T., Takeshige‐Amano, H., Hagiwara, A., Murata, S., Oyama, G., et al. (2020) · Journal of Neuroscience Research · doi:10.1002/jnr.24584 · Cited by 26
Resilience and White Matter Integrity in Geriatric Depression
Vlasova, R. M., Siddarth, P., Krause, B., Leaver, A. M., Laird, K. T., St Cyr, N., Narr, K. L., & Lavretsky, H. (2018) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2018.04.004 · Cited by 25
Jungilligens, J., Wellmer, J., Kowoll, A., Schlegel, U., Axmacher, N., & Popkirov, S. (2021) · Seizure · doi:10.1016/j.seizure.2020.11.021 · Cited by 25
White Matter Alterations in Cognitively Normal apoE ɛ2 Carriers: Insight into Alzheimer Resistance?
Chiang, G. C., Zhan, W., Schuff, N., & Weiner, M. W. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2984 · Cited by 25
Mesocorticolimbic Connectivity and Volumetric Alterations in DCC Mutation Carriers
Vosberg, D. E., Zhang, Y., Menegaux, A., Chalupa, A., Manitt, C., Zehntner, S., Eng, C., DeDuck, K., Allard, D., Durand, F., et al. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.3251-17.2018 · Cited by 25
Easson, K., Rohlicek, C. V., Houde, J.-C., Gilbert, G., Saint-Martin, C., Fontes, K., Majnemer, A., Marelli, A., Wintermark, P., Descoteaux, M., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2019.116255 · Cited by 25
Fixel-based analysis reveals tau-related white matter changes in early stages of Alzheimer's disease
Ahmadi, K., Pereira, J. B., Westen, D. V., Pasternak, O., Zhang, F., Nilsson, M., Stomrud, E., Spotorno, N., & Hansson, O. (2024) · The Journal of Neuroscience · doi:10.1523/jneurosci.0538-23.2024 · Cited by 25
Toller, G., Mandelli, M. L., Cobigo, Y., Rosen, H. J., Kramer, J. H., Miller, B. L., Gorno-Tempini, M. L., & Rankin, K. P. (2022) · NeuroImage: Clinical · doi:10.1016/j.nicl.2022.102994 · Cited by 23
Kassubek, J., Müller, H.-P., Del Tredici, K., Hornberger, M., Schroeter, M. L., Müller, K., Anderl-Straub, S., Uttner, I., Grossman, M., Braak, H., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00047 · Cited by 23
Diffusion tensor magnetic resonance imaging of the brain in app transgenic mice: A cohort study.
Müller, H.-P., Kassubek, J., Vernikouskaya, I., Ludolph, A. C., Stiller, D., & Rasche, V. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067630 · Cited by 22
Simultaneous fMRI-EEG-DTI recording of MMN in patients with schizophrenia
Kirino, E., Hayakawa, Y., Inami, R., Inoue, R., & Aoki, S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0215023 · Cited by 22
Collins, S. E., Spencer-Smith, M., Mürner-Lavanchy, I., Kelly, C. E., Pyman, P., Pascoe, L., Cheong, J., Doyle, L. W., Thompson, D. K., & Anderson, P. J. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101944 · Cited by 22
Mewborn, C. M., Lindbergh, C. A., Hammond, B. R., Renzi-Hammond, L. M., & Miller, L. S. (2019) · Journal of Aging Research · doi:10.1155/2019/3709402 · Cited by 20
Atlas-Based Diffusion Tensor Imaging Correlates of Executive Function
Nowrangi, M. A., Okonkwo, O., Lyketsos, C., Oishi, K., Mori, S., Albert, M., & Mielke, M. M. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-141937 · Cited by 19
Meijboom, R., Steketee, R. M. E., Ham, L. S., van der Lugt, A., van Swieten, J. C., & Smits, M. (2017) · Journal of Alzheimer’s Disease · doi:10.3233/jad-160564 · Cited by 17
Tükel, R., Ulasoglu Yildiz, C., Ertekin, E., Kurt, E., Koyuncu, A., & Aydın, K. (2017) · Brain Research · doi:10.1016/j.brainres.2017.02.016 · Cited by 18
Kennis, M., van Rooij, S. J. H., Kahn, R. S., Geuze, E., & Leemans, A. (2016) · NeuroImage: Clinical · doi:10.1016/j.nicl.2016.03.022 · Cited by 18
Park, S., Lee, J.-M., Kim, J.-W., Kwon, H., Cho, S.-C., Han, D. H., Cheong, J. H., & Kim, B.-N. (2016) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2015.09.012 · Cited by 17
Iriondo, A., García-Sebastian, M., Arrospide, A., Arriba, M., Aurtenetxe, S., Barandiaran, M., Clerigue, M., Ecay-Torres, M., Estanga, A., Gabilondo, A., et al. (2020) · Journal of Alzheimer's Disease · doi:10.3233/jad-200105 · Cited by 16
Finkelstein, A., Faiyaz, A., Weber, M. T., Qiu, X., Uddin, M. N., Zhong, J., & Schifitto, G. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.725059 · Cited by 15
Markett, S., Montag, C., & Reuter, M. (2016) · Neuroimaging Personality, Social Cognition, and Character · doi:10.1016/b978-0-12-800935-2.00005-1 · Cited by 15
Ünsel-Bolat, G., Baytunca, M. B., Kardaş, B., İpçi, M., İnci İzmir, S. B., Özyurt, O., Çallı, M. C., & Ercan, E. S. (2020) · Nordic Journal of Psychiatry · doi:10.1080/08039488.2020.1772364 · Cited by 14
Ni, H.-C., Lin, H.-Y., Tseng, W.-Y. I., & Gau, S. S.-F. (2020) · Scientific Reports · doi:10.1038/s41598-020-70836-y · Cited by 13
Wang, S., Zuo, L., Jiang, T., Peng, P., Chu, S., & Xiao, D. (2017) · Neurological Research · doi:10.1080/01616412.2017.1379277 · Cited by 12
Sairanen, V., Kuusela, L., Sipilä, O., Savolainen, S., & Vanhatalo, S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.061 · Cited by 12
Shen, Q., Heikkinen, N., Kärkkäinen, O., Gröhn, H., Könönen, M., Liu, Y., Kaarre, O., Zhang, Z., Tan, C., Tolmunen, T., et al. (2019) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2019.111003 · Cited by 11
Müller, H.-P., Roselli, F., Rasche, V., & Kassubek, J. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00734 · Cited by 12
Combining white matter diffusion and geometry for tract-specific alignment and variability analysis
Benou, I., Veksler, R., Friedman, A., & Raviv, T. R. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.05.003 · Cited by 12
White-matter crossing-fiber microstructure in adolescents prenatally exposed to cocaine
Morie, K. P., Yip, S. W., Zhai, Z. W., Xu, J., Hamilton, K. R., Sinha, R., Mayes, L. C., & Potenza, M. N. (2017) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2017.01.011 · Cited by 9
Den Braber, A., Van ‘t Ent, D., Stoffers, D., Linkenkaer-Hansen, K., I. Boomsma, D., & J.C. de Geus, E. (2013) · International Journal of Psychological Research · doi:10.21500/20112084.712 · Cited by 11
Behavioral reserve in behavioral variant frontotemporal dementia
Kim, S. H., Kim, Y. J., Lee, B. H., Lee, P., Park, J. H., Seo, S. W., & Jeong, Y. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.875589 · Cited by 8
Grey and white matter brain network changes in frontotemporal dementia subtypes
Nguyen, T., Bertoux, M., O’Callaghan, C., Ahmed, S., Hodges, J., & Hornberger, M. (2013) · Translational Neuroscience · doi:10.2478/s13380-013-0141-2 · Cited by 9
Qiao, Y., Sun, Y., Guo, J., Chen, Y., Hou, W., Zhang, J., & Peng, D. (2022) · Journal of Alzheimer's Disease · doi:10.3233/jad-215251 · Cited by 8
Goltermann, J., Repple, J., Redlich, R., Dohm, K., Flint, C., Grotegerd, D., Waltemate, L., Lemke, H., Fingas, S. M., Meinert, S., et al. (2021) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2021.02.006 · Cited by 8
Cross-Subject Comparison of Local Diffusion MRI Parameters
Smith, S. M., Kindlmann, G., & Jbabdi, S. (2014) · Diffusion MRI · doi:10.1016/b978-0-12-396460-1.00010-x · Cited by 8
Self-citationBrain structure in schizophrenia: what do we know and what next?
Lawrie, S. M. (2025) · The Lancet Psychiatry · doi:10.1016/s2215-0366(25)00172-5 · Cited by 7
Yasuno, F., Ando, D., Yamamoto, A., Koshino, K., & Yokota, C. (2019) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2019.01.015 · Cited by 6
Metadata
- Authors
- Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., Watkins, K. E., Ciccarelli, O., Cader, M. Z., Matthews, P. M., & Behrens, T. E. J.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2006-07
- Volume
- 31
- Issue
- 4
- Pages
- 1487-1505
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2150667092
- Cited by
- 6,478
- References
- 10
- FWCI
- 70.28
- Type
- journal article
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.