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Sequence-independent segmentation of magnetic resonance images
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Cites
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Fischl, 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
Self-citationAutomatic 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 1×
“Nonlinear extensions to this type of intersubject registration procedure have been extensively investigated (Ashburner et al., 1997; Collins et al., 1994; Davatzikos, 1997; Fox et al., 1984, 1985; Woods et al., 1992).”
Method
Cited by
Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.021 · Cited by 9,526
Self-citationThe organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
The minimal preprocessing pipelines for the Human Connectome Project
Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J. R., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.127 · Cited by 5,253
Self-citationThe 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
Within-subject template estimation for unbiased longitudinal image analysis
Reuter, M., Schmansky, N. J., Rosas, H. D., & Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.084 · Cited by 2,356
Self-citationMapping Human Cortical Areas In Vivo Based on Myelin Content as Revealed by T1- and T2-Weighted MRI
Glasser, M. F., & Van Essen, D. C. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2180-11.2011 · Cited by 1,447
Han, X., Jovicich, J., Salat, D., van der Kouwe, A., Quinn, B., Czanner, S., Busa, E., Pacheco, J., Albert, M., Killiany, R., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.051 · Cited by 1,508
Self-citationThe Human Connectome Project's neuroimaging approach
Glasser, M. F., Smith, S. M., Marcus, D. S., Andersson, J. L. R., Auerbach, E. J., Behrens, T. E. J., Coalson, T. S., Harms, M. P., Jenkinson, M., Moeller, S., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4361 · Cited by 1,090
Tau positron emission tomographic imaging in aging and early Alzheimer disease
Johnson, K. A., Schultz, A., Betensky, R. A., Becker, J. A., Sepulcre, J., Rentz, D., Mormino, E., Chhatwal, J., Amariglio, R., Papp, K., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24546 · Cited by 986
Tottenham, N., Hare, T. A., Quinn, B. T., McCarry, T. W., Nurse, M., Gilhooly, T., Millner, A., Galvan, A., Davidson, M. C., Eigsti, I., et al. (2010) · Developmental Science · doi:10.1111/j.1467-7687.2009.00852.x · Cited by 905
Self-citationLaMontagne, P. J., Benzinger, T. L., Morris, J. C., Keefe, S., Hornbeck, R., Xiong, C., Grant, E., Hassenstab, J., Moulder, K., Vlassenko, A. G., et al. (2019) · medRxiv · doi:10.1101/2019.12.13.19014902 · Cited by 779
“…folding patterns to match cortical geometry across subjects (Fischl et al., 1999b), parcellation of the cerebral cortex into units with respect to gyral and sulcal structure 37 (Fischl et al., 2004b), and creation of a variety of surface based data including maps of curvature and sulcal depth.”
The organization of the human striatum estimated by intrinsic functional connectivity
Choi, E. Y., Yeo, B. T. T., & Buckner, R. L. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00270.2012 · Cited by 746
Teicher, M. H., Anderson, C. M., & Polcari, A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1115396109 · Cited by 639
Brain-wide glymphatic enhancement and clearance in humans assessed with MRI.
Ringstad, G., Valnes, L. M., Dale, A. M., Pripp, A. H., Vatnehol, S.-A. S., Emblem, K. E., Mardal, K.-A., & Eide, P. K. (2018) · JCI Insight · doi:10.1172/jci.insight.121537 · Cited by 533
“…removal of nonbrain tissue using a hybrid watershed/surface deformation procedure (80), automated Talairach transformation, and segmentation of the subcortical white matter and deep gray matter volumetric structures (including hippocampus, amygdala, caudate, putamen, and ventricles) (81, 82).”
Self-citationSpurious group differences due to head motion in a diffusion MRI study
Yendiki, A., Koldewyn, K., Kakunoori, S., Kanwisher, N., & Fischl, B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.027 · Cited by 508
Self-citationConsistent neuroanatomical age-related volume differences across multiple samples
Walhovd, K. B., Westlye, L. T., Amlien, I., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D. H., Greve, D. N., Fischl, B., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.05.013 · Cited by 506
Self-citationØstby, Y., Tamnes, C. K., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1242-09.2009 · Cited by 480
Desbordes, G., Negi, L. T., Pace, T. W. W., Wallace, B. A., Raison, C. L., & Schwartz, E. L. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00292 · Cited by 458
Decreased interhemispheric functional connectivity in autism
Anderson, J. S., Druzgal, T. J., Froehlich, A., DuBray, M. B., Lange, N., Alexander, A. L., Abildskov, T., Nielsen, J. A., Cariello, A. N., Cooperrider, J. R., et al. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq190 · Cited by 438
Deistung, A., Schäfer, A., Schweser, F., Biedermann, U., Turner, R., & Reichenbach, J. R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.055 · Cited by 442
Variation in neural development as a result of exposure to institutionalization early in childhood
Sheridan, M. A., Fox, N. A., Zeanah, C. H., McLaughlin, K. A., & Nelson, C. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1200041109 · Cited by 432
Ecker, C., Marquand, A., Mourão-Miranda, J., Johnston, P., Daly, E. M., Brammer, M. J., Maltezos, S., Murphy, C. M., Robertson, D., Williams, S. C., et al. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.5413-09.2010 · Cited by 415
Sleep deprivation impairs molecular clearance from the human brain
Eide, P. K., Vinje, V., Pripp, A. H., Mardal, K.-A., & Ringstad, G. (2021) · Brain · doi:10.1093/brain/awaa443 · Cited by 403
Using high-resolution quantitative mapping of R1 as an index of cortical myelination
Lutti, A., Dick, F., Sereno, M. I., & Weiskopf, N. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.005 · Cited by 346
Baird, B., Smallwood, J., Gorgolewski, K. J., & Margulies, D. S. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.0786-13.2013 · Cited by 315
McEvoy, L. K., Fennema-Notestine, C., Roddey, J. C., Hagler, D. J., Holland, D., Karow, D. S., Pung, C. J., Brewer, J. B., & Dale, A. M. (2009) · Radiology · doi:10.1148/radiol.2511080924 · Cited by 330
Self-citationJoshi, S. H., Espinoza, R. T., Pirnia, T., Shi, J., Wang, Y., Ayers, B., Leaver, A., Woods, R. P., & Narr, K. L. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.02.029 · Cited by 320
Effects of early life stress on depression, cognitive performance and brain morphology
Saleh, A., Potter, G. G., McQuoid, D. R., Boyd, B., Turner, R., MacFall, J. R., & Taylor, W. D. (2017) · Psychological Medicine · doi:10.1017/s0033291716002403 · Cited by 301
Ghosh, S. S., Kakunoori, S., Augustinack, J., Nieto-Castanon, A., Kovelman, I., Gaab, N., Christodoulou, J. A., Triantafyllou, C., Gabrieli, J. D. E., & Fischl, B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.075 · Cited by 281
Self-citationGlobal Prefrontal and Fronto-Amygdala Dysconnectivity in Bipolar I Disorder with Psychosis History
Anticevic, A., Brumbaugh, M. S., Winkler, A. M., Lombardo, L. E., Barrett, J., Corlett, P. R., Kober, H., Gruber, J., Repovs, G., Cole, M. W., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.07.031 · Cited by 263
Urošević, S., Collins, P., Muetzel, R., Lim, K., & Luciana, M. (2012) · Developmental Psychology · doi:10.1037/a0027502 · Cited by 258
Correlations between MRI white matter lesion location and executive function and episodic memory
Smith, E. E., Salat, D. H., Jeng, J., McCreary, C. R., Fischl, B., Schmahmann, J. D., Dickerson, B. C., Viswanathan, A., Albert, M. S., Blacker, D., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e318217e7c8 · Cited by 243
Self-citationMitchell, J. M., O’Neil, J. P., Janabi, M., Marks, S. M., Jagust, W. J., & Fields, H. L. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3002902 · Cited by 237
Langen, M., Leemans, A., Johnston, P., Ecker, C., Daly, E., Murphy, C. M., dell’Acqua, F., Durston, S., & Murphy, D. G. M. (2012) · Cortex · doi:10.1016/j.cortex.2011.05.018 · Cited by 234
WONDERLICK, J., ZIEGLER, D., HOSSEINIVARNAMKHASTI, P., LOCASCIO, J., BAKKOUR, A., VANDERKOUWE, A., TRIANTAFYLLOU, C., CORKIN, S., & DICKERSON, B. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.037 · Cited by 221
Self-citationStructural MRI biomarkers for preclinical and mild Alzheimer's disease
Fennema‐Notestine, C., Hagler, D. J., McEvoy, L. K., Fleisher, A. S., Wu, E. H., Karow, D. S., & Dale, A. M. (2009) · Human Brain Mapping · doi:10.1002/hbm.20744 · Cited by 233
Self-citationMultimodal imaging of the self-regulating developing brain
Fjell, A. M., Walhovd, K. B., Brown, T. T., Kuperman, J. M., Chung, Y., Hagler, D. J., Venkatraman, V., Roddey, J. C., Erhart, M., McCabe, C., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208243109 · Cited by 212
Self-citationAlexander-Bloch, A., Clasen, L., Stockman, M., Ronan, L., Lalonde, F., Giedd, J., & Raznahan, A. (2016) · Human Brain Mapping · doi:10.1002/hbm.23180 · Cited by 178
Atlas Renormalization for Improved Brain MR Image Segmentation Across Scanner Platforms
Han, X., & Fischl, B. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.893282 · Cited by 215
Self-citationLombardi, G., Crescioli, G., Cavedo, E., Lucenteforte, E., Casazza, G., Bellatorre, A.-G., Lista, C., Costantino, G., Frisoni, G., Virgili, G., et al. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009628.pub2 · Cited by 214
Subregional neuroanatomical change as a biomarker for Alzheimer's disease
Holland, D., Brewer, J. B., Hagler, D. J., Fennema-Notestine, C., Dale, A. M., Initiative, T. A. D. N., Weiner, M., Thal, L., Petersen, R., Jack, C. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906053106 · Cited by 210
Self-citationA human neurodevelopmental model for Williams syndrome
Chailangkarn, T., Trujillo, C. A., Freitas, B. C., Hrvoj-Mihic, B., Herai, R. H., Yu, D. X., Brown, T. T., Marchetto, M. C., Bardy, C., McHenry, L., et al. (2016) · Nature · doi:10.1038/nature19067 · Cited by 195
Self-citationPagliaccio, D., Luby, J. L., Bogdan, R., Agrawal, A., Gaffrey, M. S., Belden, A. C., Botteron, K. N., Harms, M. P., & Barch, D. M. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.327 · Cited by 205
Childhood maltreatment: altered network centrality of cingulate, precuneus, temporal pole and insula
Teicher, M. H., Anderson, C. M., Ohashi, K., & Polcari, A. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.09.016 · Cited by 202
Neuroanatomical substrates of executive functions: beyond prefrontal structures
Bettcher, B. M., Mungas, D., Patel, N., Elofson, J., Dutt, S., Wynn, M., Watson, C. L., Stephens, M., Walsh, C. M., & Kramer, J. H. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.03.001 · Cited by 202
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
Pathological correlations of [F‐18]‐AV‐1451 imaging in non‐alzheimer tauopathies
Marquié, M., Normandin, M. D., Meltzer, A. C., Siao Tick Chong, M., Andrea, N. V., Antón‐Fernández, A., Klunk, W. E., Mathis, C. A., Ikonomovic, M. D., Debnath, M., et al. (2017) · Annals of Neurology · doi:10.1002/ana.24844 · Cited by 190
Stress-induced changes in human decision-making are reversible
Soares, J. M., Sampaio, A., Ferreira, L. M., Santos, N. C., Marques, F., Palha, J. A., Cerqueira, J. J., & Sousa, N. (2012) · Translational Psychiatry · doi:10.1038/tp.2012.59 · Cited by 183
Long-term influence of normal variation in neonatal characteristics on human brain development
Walhovd, K. B., Fjell, A. M., Brown, T. T., Kuperman, J. M., Chung, Y., Hagler, D. J., Roddey, J. C., Erhart, M., McCabe, C., Akshoomoff, N., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208180109 · Cited by 187
Self-citation18F‐AV‐1451 and CSF T‐tau and P‐tau as biomarkers in Alzheimer's disease
Mattsson, N., Schöll, M., Strandberg, O., Smith, R., Palmqvist, S., Insel, P. S., Hägerström, D., Ohlsson, T., Zetterberg, H., Jögi, J., et al. (2017) · EMBO Molecular Medicine · doi:10.15252/emmm.201707809 · Cited by 177
Almeida, L. G., Ricardo-Garcell, J., Prado, H., Barajas, L., Fernández-Bouzas, A., Ávila, D., & Martínez, R. B. (2010) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2010.04.026 · Cited by 165
Volumetric cerebral characteristics of children exposed to opiates and other substances in utero
Walhovd, K. B., Moe, V., Slinning, K., Due-Tønnessen, P., Bjørnerud, A., Dale, A. M., van der Kouwe, A., Quinn, B. T., Kosofsky, B., Greve, D., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.070 · Cited by 163
Self-citationFurney, S. J., Simmons, A., Breen, G., Pedroso, I., Lunnon, K., Proitsi, P., Hodges, A., Powell, J., Wahlund, L.-O., Kloszewska, I., et al. (2011) · Molecular Psychiatry · doi:10.1038/mp.2010.123 · Cited by 157
Hippocampal immediate poststimulus activity in the encoding of consecutive naturalistic episodes
Ben-Yakov, A., Eshel, N., & Dudai, Y. (2013) · Journal of Experimental Psychology: General · doi:10.1037/a0033558 · Cited by 153
Dennison, M., Whittle, S., Yücel, M., Vijayakumar, N., Kline, A., Simmons, J., & Allen, N. B. (2013) · Developmental Science · doi:10.1111/desc.12057 · Cited by 146
Effects of alcohol use initiation on brain structure in typically developing adolescents
Luciana, M., Collins, P. F., Muetzel, R. L., & Lim, K. O. (2013) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952990.2013.837057 · Cited by 145
Prenatal tobacco exposure and brain morphology: a prospective study in young children
El Marroun, H., Schmidt, M. N., Franken, I. H. A., Jaddoe, V. W. V., Hofman, A., van der Lugt, A., Verhulst, F. C., Tiemeier, H., & White, T. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.273 · Cited by 136
Yew, B., Nation, D. A., & Initiative, F. T. A. D. N. (2017) · Brain · doi:10.1093/brain/awx112 · Cited by 133
Resmini, E., Santos, A., Gómez-Anson, B., Vives, Y., Pires, P., Crespo, I., Portella, M. J., de Juan-Delago, M., Barahona, M.-J., & Webb, S. M. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-2231 · Cited by 133
Chang, Y.-L., Jacobson, M. W., Fennema-Notestine, C., Hagler, D. J., Jennings, R. G., Dale, A. M., McEvoy, L. K., & Initiative, A. A. D. N. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp192 · Cited by 130
Self-citationDiffusion tensor imaging shows white matter tracts between human auditory and visual cortex
Beer, A. L., Plank, T., & Greenlee, M. W. (2011) · Experimental Brain Research · doi:10.1007/s00221-011-2715-y · Cited by 124
Zhang, A., Leow, A., Ajilore, O., Lamar, M., Yang, S., Joseph, J., Medina, J., Zhan, L., & Kumar, A. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2011.279 · Cited by 121
The effect of network thresholding and weighting on structural brain networks in the uk biobank
Buchanan, C. R., Bastin, M. E., Ritchie, S. J., Liewald, D. C., Madole, J. W., Tucker-Drob, E. M., Deary, I. J., & Cox, S. R. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2019.116443 · Cited by 126
Wang, D., Buckner, R. L., & Liu, H. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00598.2012 · Cited by 124
Han, K., Mac Donald, C. L., Johnson, A. M., Barnes, Y., Wierzechowski, L., Zonies, D., Oh, J., Flaherty, S., Fang, R., Raichle, M. E., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.017 · Cited by 123
Pirnia, T., Joshi, S. H., Leaver, A. M., Vasavada, M., Njau, S., Woods, R. P., Espinoza, R., & Narr, K. L. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.102 · Cited by 122
A comparison of FreeSurfer-generated data with and without manual intervention
McCarthy, C. S., Ramprashad, A., Thompson, C., Botti, J.-A., Coman, I. L., & Kates, W. R. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00379 · Cited by 122
Cherbuin, N., Anstey, K. J., Réglade-Meslin, C., & Sachdev, P. S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005265 · Cited by 116
Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults
Baniqued, P. L., Gallen, C. L., Voss, M. W., Burzynska, A. Z., Wong, C. N., Cooke, G. E., Duffy, K., Fanning, J., Ehlers, D. K., Salerno, E. A., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00426 · Cited by 112
Gold, B. T., Powell, D. K., Andersen, A. H., & Smith, C. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.036 · Cited by 112
Mortamais, M., Pujol, J., Martínez-Vilavella, G., Fenoll, R., Reynes, C., Sabatier, R., Rivas, I., Forns, J., Vilor-Tejedor, N., Alemany, S., et al. (2019) · Environmental Research · doi:10.1016/j.envres.2019.108734 · Cited by 112
Mild Cognitive Impairment: Differential Atrophy in the Hippocampal Subfields
Hanseeuw, B. J., Van Leemput, K., Kavec, M., Grandin, C., Seron, X., & Ivanoiu, A. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2589 · Cited by 110
Brain Cortical Thickness in ADHD: Age, Sex, and Clinical Correlations
Almeida Montes, L. G., Prado Alcántara, H., Martínez García, R. B., De La Torre, L. B., Ávila Acosta, D., & Duarte, M. G. (2013) · Journal of Attention Disorders · doi:10.1177/1087054711434351 · Cited by 95
Yoo, H. J., Thayer, J. F., Greening, S., Lee, T.-H., Ponzio, A., Min, J., Sakaki, M., Nga, L., Mather, M., & Koenig, J. (2018) · Brain Structure and Function · doi:10.1007/s00429-017-1519-7 · Cited by 94
“…technical details of these procedures are described in prior publications (Dale and Sereno 1993; Fischl et al. 1999b; Dale et al. 1999; Fischl et al. 1999a; Fischl et al. 2001; Fischl et al. 2002; Fischl et al. 2004a; Fischl et al. 2004b; Ségonne et al. 2004; Jovicich et al. 2006; Han et al. 2006).”
Janiri, D., Sani, G., Rossi, P. D., Piras, F., Iorio, M., Banaj, N., Giuseppin, G., Spinazzola, E., Maggiora, M., Ambrosi, E., et al. (2017) · Bipolar Disorders · doi:10.1111/bdi.12516 · Cited by 99
Libero, L. E., DeRamus, T. P., Deshpande, H. D., & Kana, R. K. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.07.001 · Cited by 95
Mattsson, N., Insel, P. S., Donohue, M., Jögi, J., Ossenkoppele, R., Olsson, T., Schöll, M., Smith, R., & Hansson, O. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.12.001 · Cited by 92
Quantitative structural MRI for early detection of Alzheimer's disease
McEvoy, L. K., & Brewer, J. B. (2010) · Expert Review of Neurotherapeutics · doi:10.1586/ern.10.162 · Cited by 90
Levy-Gigi, E., Szabo, C., Richter-Levin, G., & Kéri, S. (2015) · Neuropsychology · doi:10.1037/neu0000131 · Cited by 85
A Connectomic Analysis of the Human Basal Ganglia Network
Cacciola, A., Calamuneri, A., Milardi, D., Mormina, E., Chillemi, G., Marino, S., Naro, A., Rizzo, G., Anastasi, G., & Quartarone, A. (2017) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2017.00085 · Cited by 81
Taylor, W. D., Boyd, B., McQuoid, D. R., Kudra, K., Saleh, A., & MacFall, J. R. (2015) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2015.05.001 · Cited by 79
Mak, E., Su, L., Williams, G. B., Watson, R., Firbank, M., Blamire, A., & O’Brien, J. (2016) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2015.06.006 · Cited by 79
Zhao, K., Liu, H., Yan, R., Hua, L., Chen, Y., Shi, J., Lu, Q., & Yao, Z. (2017) · Brain and Behavior · doi:10.1002/brb3.754 · Cited by 78
Frey, A., Homola, G. A., Henneges, C., Mühlbauer, L., Sell, R., Kraft, P., Franke, M., Morbach, C., Vogt, M., Müllges, W., et al. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehab003 · Cited by 70
Ambrosino, S., de Zeeuw, P., Wierenga, L. M., van Dijk, S., & Durston, S. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx182 · Cited by 67
Distinct brain structure and behavior related to ADHD and conduct disorder traits
Bayard, F., Nymberg Thunell, C., Abé, C., Almeida, R., Banaschewski, T., Barker, G., Bokde, A. L. W., Bromberg, U., Büchel, C., Quinlan, E. B., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-018-0202-6 · Cited by 67
Grieve, S. M., Korgaonkar, M. S., Clark, C. R., & Williams, L. M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.087 · Cited by 64
Chalavi, S., Vissia, E. M., Giesen, M. E., Nijenhuis, E. R. S., Draijer, N., Barker, G. J., Veltman, D. J., & Reinders, A. A. T. S. (2015) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2015.01.014 · Cited by 63
Mikolas, P., Melicher, T., Skoch, A., Matejka, M., Slovakova, A., Bakstein, E., Hajek, T., & Spaniel, F. (2016) · Psychological Medicine · doi:10.1017/s0033291716000878 · Cited by 58
Evidence for disrupted gray matter structural connectivity in posttraumatic stress disorder
Mueller, S. G., Ng, P., Neylan, T., Mackin, S., Wolkowitz, O., Mellon, S., Yan, X., Flory, J., Yehuda, R., Marmar, C. R., et al. (2015) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2015.09.006 · Cited by 61
Alexithymia in neurodegenerative disease
Sturm, V. E., & Levenson, R. W. (2011) · Neurocase · doi:10.1080/13554794.2010.532503 · Cited by 61
Small cerebellar cortex volume in patients with active Cushing’s syndrome
Santos, A., Resmini, E., Crespo, I., Pires, P., Vives-Gilabert, Y., Granell, E., Valassi, E., Gómez-Anson, B., Martínez-Momblán, M. A., Mataró, M., et al. (2014) · European Journal of Endocrinology · doi:10.1530/eje-14-0371 · Cited by 60
Stability of graph theoretical measures in structural brain networks in Alzheimer’s disease
Mårtensson, G., Pereira, J. B., Mecocci, P., Vellas, B., Tsolaki, M., Kłoszewska, I., Soininen, H., Lovestone, S., Simmons, A., Volpe, G., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-29927-0 · Cited by 60
Hippocampal subfield volumes and childhood trauma in bipolar disorders
Janiri, D., Sani, G., De Rossi, P., Piras, F., Banaj, N., Ciullo, V., Simonetti, A., Arciniegas, D. B., & Spalletta, G. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.04.071 · Cited by 59
Beer, A. L., Plank, T., Meyer, G., & Greenlee, M. W. (2013) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2013.00005 · Cited by 53
Vartanian, O., Wertz, C. J., Flores, R. A., Beatty, E. L., Smith, I., Blackler, K., Lam, Q., & Jung, R. E. (2018) · Human Brain Mapping · doi:10.1002/hbm.24054 · Cited by 53
Fullana, M. A., Cardoner, N., Alonso, P., Subirà, M., López-Solà, C., Pujol, J., Segalàs, C., Real, E., Bossa, M., Zacur, E., et al. (2014) · Psychological Medicine · doi:10.1017/s0033291713001128 · Cited by 50
Lukoshe, A., White, T., Schmidt, M. N., van der Lugt, A., & Hokken-Koelega, A. C. (2013) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-5-31 · Cited by 49
Falgàs, N., Sánchez-Valle, R., Bargalló, N., Balasa, M., Fernández-Villullas, G., Bosch, B., Olives, J., Tort-Merino, A., Antonell, A., Muñoz-García, C., et al. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101927 · Cited by 47
Metadata
- Authors
- Fischl, B., Salat, D. H., van der Kouwe, A. J. W., Makris, N., Ségonne, F., Quinn, B. T., & Dale, A. M.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2004-01
- Volume
- 23
- Pages
- S69-S84
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2121369614
- Cited by
- 2,109
- References
- 3
- FWCI
- 12.23
- 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 ›
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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.