Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI

Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space

Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 4×

FreeSurfer

Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.021 · Cited by 9,526

Whole Brain Segmentation

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

Unified segmentation

Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507

Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation

Shaw, P., Eckstrand, K., Sharp, W., Blumenthal, J., Lerch, J. P., Greenstein, D., Clasen, L., Evans, A., Giedd, J., & Rapoport, J. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707741104 · Cited by 1,819

Neurodevelopmental Trajectories of the Human Cerebral Cortex

Shaw, P., Kabani, N. J., Lerch, J. P., Eckstrand, K., Lenroot, R., Gogtay, N., Greenstein, D., Clasen, L., Evans, A., Rapoport, J. L., et al. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5309-07.2008 · Cited by 1,644

Intellectual ability and cortical development in children and adolescents

Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., Evans, A., Rapoport, J., & Giedd, J. (2006) · Nature · doi:10.1038/nature04513 · Cited by 1,543

Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer

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

The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals

Dickerson, 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

A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex

Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151

Dynamics of Gray Matter Loss in Alzheimer's Disease

Thompson, P. M., Hayashi, K. M., de Zubicaray, G., Janke, A. L., Rose, S. E., Semple, J., Herman, D., Hong, M. S., Dittmer, S. S., Doddrell, D. M., et al. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00994.2003 · Cited by 1,132

Imaging structural co-variance between human brain regions

Alexander-Bloch, A., Giedd, J. N., & Bullmore, E. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3465 · Cited by 1,064

The structural basis of inter-individual differences in human behaviour and cognition

Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055

Structural Insights into Aberrant Topological Patterns of Large-Scale Cortical Networks in Alzheimer's Disease

He, Y., Chen, Z., & Evans, A. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0141-08.2008 · Cited by 965

Longitudinal Mapping of Cortical Thickness and Clinical Outcome in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder

Shaw, P., Lerch, J., Greenstein, D., Sharp, W., Clasen, L., Evans, A., Giedd, J., Castellanos, F. X., & Rapoport, J. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.5.540 · Cited by 703

Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements

Tustison, N. J., Cook, P. A., Klein, A., Song, G., Das, S. R., Duda, J. T., Kandel, B. M., van Strien, N., Stone, J. R., Gee, J. C., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.044 · Cited by 670

Effective treatment of chronic low back pain in humans reverses abnormal brain anatomy and function

Seminowicz, D. A., Wideman, T. H., Naso, L., Hatami-Khoroushahi, Z., Fallatah, S., Ware, M. A., Jarzem, P., Bushnell, M. C., Shir, Y., Ouellet, J. A., et al. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5280-10.2011 · Cited by 622

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

Rathore, S., Habes, M., Iftikhar, M. A., Shacklett, A., & Davatzikos, C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.057 · Cited by 622

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping

Kleesiek, J., Urban, G., Hubert, A., Schwarz, D., Maier-Hein, K., Bendszus, M., & Biller, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.024 · Cited by 505

Networks of anatomical covariance

Evans, A. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.054 · Cited by 429

Cortical thickness and pain sensitivity in zen meditators.

Grant, J. A., Courtemanche, J., Duerden, E. G., Duncan, G. H., & Rainville, P. (2010) · Emotion · doi:10.1037/a0018334 · Cited by 395

Spatial patterns of cortical thinning in mild cognitive impairment and Alzheimer’s disease

Singh, V., Chertkow, H., Lerch, J. P., Evans, A. C., Dorr, A. E., & Kabani, N. J. (2006) · Brain · doi:10.1093/brain/awl256 · Cited by 386

Trajectories of cortical thickness maturation in normal brain development — The importance of quality control procedures

Ducharme, S., Albaugh, M. D., Nguyen, T.-V., Hudziak, J. J., Mateos-Pérez, J. M., Labbe, A., Evans, A. C., & Karama, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.010 · Cited by 304

Differences in genetic and environmental influences on the human cerebral cortex associated with development during childhood and adolescence

Lenroot, R. K., Schmitt, J. E., Ordaz, S. J., Wallace, G. L., Neale, M. C., Lerch, J. P., Kendler, K. S., Evans, A. C., & Giedd, J. N. (2009) · Human Brain Mapping · doi:10.1002/hbm.20494 · Cited by 320

Cortical Development in Typically Developing Children With Symptoms of Hyperactivity and Impulsivity: Support for a Dimensional View of Attention Deficit Hyperactivity Disorder

Shaw, P., Gilliam, M., Liverpool, M., Weddle, C., Malek, M., Sharp, W., Greenstein, D., Evans, A., Rapoport, J., & Giedd, J. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10030385 · Cited by 322

Delayed cortical development in fetuses with complex congenital heart disease

Clouchoux, C., du Plessis, A. J., Bouyssi-Kobar, M., Tworetzky, W., McElhinney, D. B., Brown, D. W., Gholipour, A., Kudelski, D., Warfield, S. K., McCarter, R. J., et al. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs281 · Cited by 309

Decreased Cortical Representation of Genital Somatosensory Field After Childhood Sexual Abuse

Heim, C. M., Mayberg, H. S., Mletzko, T., Nemeroff, C. B., & Pruessner, J. C. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.12070950 · Cited by 318

Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths

Dickerson, B. C., Fenstermacher, E., Salat, D. H., Wolk, D. A., Maguire, R. P., Desikan, R., Pacheco, J., Quinn, B. T., Van der Kouwe, A., Greve, D. N., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.042 · Cited by 290

Longitudinally mapping the influence of sex and androgen signaling on the dynamics of human cortical maturation in adolescence

Raznahan, A., Lee, Y., Stidd, R., Long, R., Greenstein, D., Clasen, L., Addington, A., Gogtay, N., Rapoport, J. L., & Giedd, J. N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006025107 · Cited by 278

Psychostimulant treatment and the developing cortex in attention deficit hyperactivity disorder

Shaw, P., Sharp, W. S., Morrison, M., Eckstrand, K., Greenstein, D. K., Clasen, L. S., Evans, A. C., & Rapoport, J. L. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.08050781 · Cited by 261

Cortical morphology in children and adolescents with different apolipoprotein E gene polymorphisms: an observational study

Shaw, P., Lerch, J. P., Pruessner, J. C., Taylor, K. N., Rose, A. B., Greenstein, D., Clasen, L., Evans, A., Rapoport, J. L., & Giedd, J. N. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70106-0 · Cited by 257

Measurement of cortical thickness using an automated 3-D algorithm: a validation study

Kabani, N., Le Goualher, G., MacDonald, D., & Evans, A. C. (2001) · NeuroImage · doi:10.1006/nimg.2000.0652 · Cited by 250

Development of cortical asymmetry in typically developing children and its disruption in attention-deficit/hyperactivity disorder

Shaw, P., Lalonde, F., Lepage, C., Rabin, C., Eckstrand, K., Sharp, W., Greenstein, D., Evans, A., Giedd, J. N., & Rapoport, J. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.103 · Cited by 249

Polymorphisms of the Dopamine D4 Receptor, Clinical Outcome, and Cortical Structure in Attention-Deficit/Hyperactivity Disorder

Shaw, P., Gornick, M., Lerch, J., Addington, A., Seal, J., Greenstein, D., Sharp, W., Evans, A., Giedd, J. N., Castellanos, F. X., et al. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.8.921 · Cited by 242

Developmental Changes in Organization of Structural Brain Networks

Khundrakpam, B. S., Reid, A., Brauer, J., Carbonell, F., Lewis, J., Ameis, S., Karama, S., Lee, J., Chen, Z., Das, S., et al. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs187 · Cited by 234

Simplified intersubject averaging on the cortical surface using SUMA

Argall, B. D., Saad, Z. S., & Beauchamp, M. S. (2006) · Human Brain Mapping · doi:10.1002/hbm.20158 · Cited by 200

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

Brain gray matter deficits at 33-year follow-up in adults with attention-deficit/hyperactivity disorder established in childhood

Proal, E. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.117 · Cited by 207

Spatial Patterns, Longitudinal Development, and Hemispheric Asymmetries of Cortical Thickness in Infants from Birth to 2 Years of Age

Li, G., Lin, W., Gilmore, J. H., & Shen, D. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4107-14.2015 · Cited by 164

Quantitative in vivo MRI measurement of cortical development in the fetus

Clouchoux, C., Kudelski, D., Gholipour, A., Warfield, S. K., Viseur, S., Bouyssi-Kobar, M., Mari, J.-L., Evans, A. C., du Plessis, A. J., & Limperopoulos, C. (2012) · Brain Structure and Function · doi:10.1007/s00429-011-0325-x · Cited by 164

Insular cortex mediates increased pain tolerance in yoga practitioners

Villemure, C., eko, M., Cotton, V. A., & Bushnell, M. C. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht124 · Cited by 163

Modeling and prediction of clinical symptom trajectories in Alzheimer’s disease using longitudinal data

Bhagwat, N., Viviano, J. D., Voineskos, A. N., Chakravarty, M. M., & Initiative, A. D. N. (2018) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1006376 · Cited by 157

Exercise therapy, cardiorespiratory fitness and their effect on brain volumes: a randomised controlled trial in patients with schizophrenia and healthy controls.

Scheewe, T. W., van Haren, N. E. M., Sarkisyan, G., Schnack, H. G., Brouwer, R. M., de Glint, M., Hulshoff Pol, H. E., Backx, F. J. G., Kahn, R. S., & Cahn, W. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.08.008 · Cited by 148

Elucidating a magnetic resonance imaging-based neuroanatomic biomarker for psychosis: classification analysis using probabilistic brain atlas and machine learning algorithms

Sun, D., van Erp, T. G. M., Thompson, P. M., Bearden, C. E., Daley, M., Kushan, L., Hardt, M. E., Nuechterlein, K. H., Toga, A. W., & Cannon, T. D. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.07.019 · Cited by 148

A novel quantitative cross-validation of different cortical surface reconstruction algorithms using MRI phantom

Lee, J. K., Lee, J.-M., Kim, J. S., Kim, I. Y., Evans, A. C., & Kim, S. I. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.044 · Cited by 108

The dynamic role of genetics on cortical patterning during childhood and adolescence

Schmitt, J. E., Neale, M. C., Fassassi, B., Perez, J., Lenroot, R. K., Wells, E. M., & Giedd, J. N. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1311630111 · Cited by 103

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

Thakur, S., Doshi, J., Pati, S., Rathore, S., Sako, C., Bilello, M., Ha, S. M., Shukla, G., Flanders, A., Kotrotsou, A., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117081 · Cited by 84

Cortical thickness change in autism during early childhood: CT in Early Childhood ASD

Smith, E., Thurm, A., Greenstein, D., Farmer, C., Swedo, S., Giedd, J., & Raznahan, A. (2016) · Human Brain Mapping · doi:10.1002/hbm.23195 · Cited by 53

Associations between serotonin transporter gene (SLC6A4) methylation and clinical characteristics and cortical thickness in children with ADHD

Park, S., Lee, J.-M., Kim, J.-W., Cho, D.-Y., Yun, H. J., Han, D. H., Cheong, J. H., & Kim, B.-N. (2015) · Psychological Medicine · doi:10.1017/s003329171500094x · Cited by 57

‘The surface management system’ (SuMS) database: a surface–based database to aid cortical surface reconstruction, visualization and analysis

Dickson, J., Drury, H., & Van Essen, D. C. (2001) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2001.0913 · Cited by 54

Identifying schizophrenia subgroups using clustering and supervised learning

Talpalaru, A., Bhagwat, N., Devenyi, G. A., Lepage, M., & Chakravarty, M. M. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.05.044 · Cited by 53

Neuroanatomical correlates of behavioral rating versus performance measures of working memory in typically developing children and adolescents.

Faridi, N., Karama, S., Burgaleta, M., White, M. T., Evans, A. C., Fonov, V., Collins, D. L., & Waber, D. P. (2015) · Neuropsychology · doi:10.1037/neu0000079 · Cited by 42

Trail making test performance in youth varies as a function of anatomical coupling between the prefrontal cortex and distributed cortical regions

Lee, N. R., Wallace, G. L., Raznahan, A., Clasen, L. S., & Giedd, J. N. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00496 · Cited by 30

Identifying with fictive characters: structural brain correlates of the personality trait ‘fantasy’

Cheetham, M., Hänggi, J., & Jancke, L. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst179 · Cited by 25

Cortical Thickness and Microstructural White Matter Changes Detect Amnestic Mild Cognitive Impairment

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

Cross-Diagnosis Structural Correlates of Autistic-Like Social Communication Differences

Kushki, A., Cardy, R. E., Panahandeh, S., Malihi, M., Hammill, C., Brian, J., Iaboni, A., Taylor, M. J., Schachar, R., Crosbie, J., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab142 · Cited by 25

Age- and gender-related regional variations of human brain cortical thickness, complexity, and gradient in the third decade

Creze, M., Versheure, L., Besson, P., Sauvage, C., Leclerc, X., & Jissendi‐Tchofo, P. (2014) · Human Brain Mapping · doi:10.1002/hbm.22369 · Cited by 14