Fast robust automated brain extraction

Snakes: Active contour models

Kass, M., Witkin, A., & Terzopoulos, D. (1988) · International Journal of Computer Vision · doi:10.1007/bf00133570 · Cited by 17,165 · see citing works

Cortical Surface-Based Analysis

Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works

Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628 · see citing works

A global optimisation method for robust affine registration of brain images

Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 6,805 · see citing works

Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis

Smith, S. M., Zhang, Y., Jenkinson, M., Chen, J. M., Matthews, P. M., Federico, A., & Stefano, N. D. (2002) · NeuroImage · doi:10.1006/nimg.2002.1040 · Cited by 2,013 · see citing works

Normalized Accurate Measurement of Longitudinal Brain Change

Smith, S. M., Stefano, N. D., Jenkinson, M., & Matthews, P. M. (2001) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-200105000-00022 · Cited by 489 · see citing works

Elastic model-based segmentation of 3-D neuroradiological data sets

Kelemen, A., Szekely, G., & Gerig, G. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.811260 · Cited by 434 · see citing works

Fully automatic segmentation of the brain in MRI

Atkins, M. S., & Mackiewich, B. T. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668699 · Cited by 397 · see citing works

Automatic detection of brain contours in MRI data sets

Brummer, M. E., Mersereau, R. M., Eisner, R. L., et al. (1993) · IEEE Transactions on Medical Imaging · doi:10.1109/42.232244 · Cited by 298 · see citing works

3-D segmentation of MR images of the head for 3-D display

Bomans, M., Höhne, Κ. H., Tiede, U., et al. (1990) · IEEE Transactions on Medical Imaging · doi:10.1109/42.56342 · Cited by 282 · see citing works

Surface-based labeling of cortical anatomy using a deformable atlas

Sandor, S. R., & Leahy, R. M. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.552054 · Cited by 275 · see citing works

Interactive 3D Segmentation of MRI and CT Volumes using Morphological Operations

Höhne, Κ. H., & Hanson, W. A. (1992) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199203000-00019 · Cited by 263 · see citing works

Alignment of magnetic-resonance brain datasets with the stereotactical coordinate system

Kruggel, F., & von Cramon, D. Y. (1999) · Medical Image Analysis · doi:10.1016/s1361-8415(99)80005-x · Cited by 53 · see citing works

Untitled work

Jones (1999) · doi:10.1002/(sici)1522-2594(199907)42:1

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 · see citing works

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 · see citing works

Consistent resting-state networks across healthy subjects

Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · see citing works

Investigations into resting-state connectivity using independent component analysis

Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1634 · Cited by 3,398 · see citing works

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J. S., Freymann, J. B., Farahani, K., & Davatzikos, C. (2017) · Scientific Data · doi:10.1038/sdata.2017.117 · Cited by 3,049 · see citing works

Regional homogeneity approach to fMRI data analysis.

Zang, Y., Jiang, T., Lu, Y., He, Y., & Tian, L. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.030 · Cited by 2,614 · see citing works

Unbiased average age-appropriate atlases for pediatric studies

Fonov, V., Evans, A. C., Botteron, K., Almli, C. R., McKinstry, R. C., & Collins, D. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.033 · Cited by 2,290 · see citing works

A Bayesian model of shape and appearance for subcortical brain segmentation

Patenaude, B., Smith, S. M., Kennedy, D. N., & Jenkinson, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.046 · Cited by 2,287 · see citing works

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 · see citing works

Grasping the intentions of others with one's own mirror neuron system

Iacoboni, M., Molnar-Szakacs, I., Gallese, V., Buccino, G., Mazziotta, J. C., & Rizzolatti, G. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030079 · Cited by 2,044 · see citing works

Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers

Salimi-Khorshidi, G., Douaud, G., Beckmann, C. F., Glasser, M. F., Griffanti, L., & Smith, S. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.046 · Cited by 1,770 · see citing works

Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging

Feinberg, D. A., Moeller, S., Smith, S. M., Auerbach, E., Ramanna, S., Glasser, M. F., Miller, K. L., Ugurbil, K., & Yacoub, E. (2010) · PLoS ONE · doi:10.1371/journal.pone.0015710 · Cited by 1,296 · see citing works

Harmonization of multi-site diffusion tensor imaging data

Fortin, J.-P., Parker, D., Tunç, B., Watanabe, T., Elliott, M. A., Ruparel, K., Roalf, D. R., Satterthwaite, T. D., Gur, R. C., Gur, R. E., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.08.047 · Cited by 1,261 · see citing works

Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth

Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works

Reduced resting-state brain activity in the “default network” in normal aging

Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J. S., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Rombouts, S. A. R. B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm207 · Cited by 1,187 · see citing works

Deep learning for brain MRI segmentation: state of the art and future directions

Akkus, Z., Galimzianova, A., Hoogi, A., Rubin, D. L., & Erickson, B. J. (2017) · Journal of Digital Imaging · doi:10.1007/s10278-017-9983-4 · Cited by 1,129 · see citing works

The pulvinar regulates information transmission between cortical areas based on attention demands

Saalmann, Y. B., Pinsk, M. A., Wang, L., Li, X., & Kastner, S. (2012) · Science · doi:10.1126/science.1223082 · Cited by 1,016 · see citing works

Organizing conceptual knowledge in humans with a gridlike code

Constantinescu, A. O., O’Reilly, J. X., & Behrens, T. E. J. (2016) · Science · doi:10.1126/science.aaf0941 · Cited by 937 · see citing works

Aerobic fitness reduces brain tissue loss in aging humans.

Colcombe, S. J., Erickson, K. I., Raz, N., Webb, A. G., Cohen, N. J., McAuley, E., & Kramer, A. F. (2003) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/58.2.m176 · Cited by 1,017 · see citing works

Sex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants

Ritchie, S. J., Cox, S. R., Shen, X., Lombardo, M. V., Reus, L. M., Alloza, C., Harris, M. A., Alderson, H. L., Hunter, S., Neilson, E., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy109 · Cited by 855 · see citing works

Training writing skills: a cognitive developmental perspective

Kellogg, R. T. (2008) · Journal of Writing Research · doi:10.17239/jowr-2008.01.01.1 · Cited by 868 · see citing works

Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry

Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjornerud, A., Due-Tonnessen, P., Engvig, A., Grydeland, H., Tamnes, C. K., Ostby, Y., & Fjell, A. M. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp280 · Cited by 765 · see citing works

Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation

Wen, J., Thibeau-Sutre, E., Diaz-Melo, M., Samper-González, J., Routier, A., Bottani, S., Dormont, D., Durrleman, S., Burgos, N., & Colliot, O. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101694 · Cited by 809 · see citing works

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

Moeskops, P., Viergever, M. A., Mendrik, A. M., de Vries, L. S., Benders, M. J. N. L., & Isgum, I. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2548501 · Cited by 861 · see citing works

Whole brain resting-state analysis reveals decreased functional connectivity in major depression

Veer, I. M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00041 · Cited by 753 · see citing works

SIFT: Spherical-deconvolution informed filtering of tractograms

Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.049 · Cited by 752 · see citing works

Resting-state networks in the infant brain

Fransson, P., Skiöld, B., Horsch, S., Nordell, A., Blennow, M., Lagercrantz, H., & Åden, U. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704380104 · Cited by 696 · see citing works

Human iPS cell-derived dopaminergic neurons function in a primate Parkinson’s disease model

Kikuchi, T., Morizane, A., Doi, D., Magotani, H., Onoe, H., Hayashi, T., Mizuma, H., Takara, S., Takahashi, R., Inoue, H., et al. (2017) · Nature · doi:10.1038/nature23664 · Cited by 702 · see citing works

Neural mechanisms of foraging

Kolling, N., Behrens, T. E. J., Mars, R. B., & Rushworth, M. F. S. (2012) · Science · doi:10.1126/science.1216930 · Cited by 629 · see citing works

How Green Is the Grass on the Other Side? Frontopolar Cortex and the Evidence in Favor of Alternative Courses of Action

Boorman, E. D., Behrens, T. E. J., Woolrich, M. W., & Rushworth, M. F. S. (2009) · Neuron · doi:10.1016/j.neuron.2009.05.014 · Cited by 665 · see citing works

Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease

Karas, G. B., Scheltens, P., Rombouts, S. A. R. B., Visser, P. J., van Schijndel, R. A., Fox, N. C., & Barkhof, F. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.006 · Cited by 613 · see citing works

Effort-Based Cost–Benefit Valuation and the Human Brain

Croxson, P. L., Walton, M. E., O'Reilly, J. X., Behrens, T. E. J., & Rushworth, M. F. S. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4515-08.2009 · Cited by 560 · see citing works

Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD

Fotenos, A. F., Snyder, A. Z., Girton, L. E., Morris, J. C., & Buckner, R. L. (2005) · Neurology · doi:10.1212/01.wnl.0000154530.72969.11 · Cited by 579 · see citing works

Age-related changes in grey and white matter structure throughout adulthood

Giorgio, A., Santelli, L., Tomassini, V., Bosnell, R., Smith, S., De Stefano, N., & Johansen-Berg, H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.004 · Cited by 532 · see citing works

Anatomical connectivity of the subgenual cingulate region targeted with deep brain stimulation for treatment-resistant depression

Johansen-Berg, H., Gutman, D. A., Behrens, T. E. J., Matthews, P. M., Rushworth, M. F. S., Katz, E., Lozano, A. M., & Mayberg, H. S. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm167 · Cited by 561 · see citing works

The influence of aerobic fitness on cerebral white matter integrity and cognitive function in older adults: Results of a one‐year exercise intervention

Voss, M. W., Heo, S., Prakash, R. S., Erickson, K. I., Alves, H., Chaddock, L., Szabo, A. N., Mailey, E. L., Wójcicki, T. R., White, S. M., et al. (2013) · Human Brain Mapping · doi:10.1002/hbm.22119 · Cited by 553 · see citing works

Differential development of high-level visual cortex correlates with category-specific recognition memory.

Golarai, G., Ghahremani, D. G., Whitfield-Gabrieli, S., Reiss, A., Eberhardt, J. L., Gabrieli, J. D. E., & Grill-Spector, K. (2007) · Nature Neuroscience · doi:10.1038/nn1865 · Cited by 541 · see citing works

The Resting Human Brain and Motor Learning

Albert, N. B., Robertson, E. M., & Miall, R. C. (2009) · Current Biology · doi:10.1016/j.cub.2009.04.028 · Cited by 510 · see citing works

White matter development in adolescence: A DTI study

Asato, M. R., Terwilliger, R., Woo, J., & Luna, B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp282 · Cited by 512 · see citing works

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 · see citing works

Mapping Infant Brain Myelination with Magnetic Resonance Imaging

Deoni, S. C. L., Mercure, E., Blasi, A., Gasston, D., Thomson, A., Johnson, M., Williams, S. C. R., & Murphy, D. G. M. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2106-10.2011 · Cited by 497 · see citing works

Quantitative susceptibility mapping: current status and future directions

Haacke, E. M., Liu, S., Buch, S., Zheng, W., Wu, D., & Ye, Y. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2014.09.004 · Cited by 511 · see citing works

Physical activity predicts gray matter volume in late adulthood: The Cardiovascular Health Study

Erickson, K. I., Raji, C. A., Lopez, O. L., Becker, J. T., Rosano, C., Newman, A. B., Gach, H. M., Thompson, P. M., Ho, A. J., & Kuller, L. H. (2010) · Neurology · doi:10.1212/wnl.0b013e3181f88359 · Cited by 508 · see citing works

Abnormal functional connectivity in autism spectrum disorders during face processing

Kleinhans, N. M., Richards, T., Sterling, L., Stegbauer, K. C., Mahurin, R., Johnson, L. C., Greenson, J., Dawson, G., & Aylward, E. (2008) · Brain · doi:10.1093/brain/awm334 · Cited by 498 · see citing works

A review of fronto-striatal and fronto-cortical brain abnormalities in children and adults with Attention Deficit Hyperactivity Disorder (ADHD) and new evidence for dysfunction in adults with ADHD during motivation and attention

Cubillo, A., Halari, R., Smith, A., Taylor, E., & Rubia, K. (2012) · Cortex · doi:10.1016/j.cortex.2011.04.007 · Cited by 505 · see citing works

MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping

Bilgic, B., Pfefferbaum, A., Rohlfing, T., Sullivan, E. V., & Adalsteinsson, E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.077 · Cited by 499 · see citing works

Vicarious responses to pain in anterior cingulate cortex: Is empathy a multisensory issue?

Morrison, I., Lloyd, D., Di Pellegrino, G., & Roberts, N. (2004) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.4.2.270 · Cited by 490 · see citing works

Exploring the role of the posterior middle temporal gyrus in semantic cognition: integration of anterior temporal lobe with executive processes

Davey, J., Thompson, H. E., Hallam, G., Karapanagiotidis, T., Murphy, C., De Caso, I., Krieger-Redwood, K., Bernhardt, B. C., Smallwood, J., & Jefferies, E. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.051 · Cited by 433 · see citing works

The underlying anatomical correlates of long-term meditation: Larger hippocampal and frontal volumes of gray matter

Luders, E., Toga, A. W., Lepore, N., & Gaser, C. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.061 · Cited by 469 · see citing works

Reward processing in autism

Scott‐Van Zeeland, A. A., Dapretto, M., Ghahremani, D. G., Poldrack, R. A., & Bookheimer, S. Y. (2010) · Autism Research · doi:10.1002/aur.122 · Cited by 458 · see citing works

Direct Activation of the Ventral Striatum in Anticipation of Aversive Stimuli

Jensen, J., McIntosh, A. R., Crawley, A. P., Mikulis, D. J., Remington, G., & Kapur, S. (2003) · Neuron · doi:10.1016/s0896-6273(03)00724-4 · Cited by 455 · see citing works

Toward in vivo histology: a comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2*-imaging at ultra-high magnetic field strength

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 · see citing works

Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation

Nair, T., Precup, D., Arnold, D. L., & Arbel, T. (2020) · Medical Image Analysis · doi:10.1016/j.media.2019.101557 · Cited by 451 · see citing works

A connectomic approach for subcallosal cingulate deep brain stimulation surgery: prospective targeting in treatment-resistant depression

Riva-Posse, P., Choi, K. S., Holtzheimer, P. E., Crowell, A. L., Garlow, S. J., Rajendra, J. K., McIntyre, C. C., Gross, R. E., & Mayberg, H. S. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.59 · Cited by 441 · see citing works

Methodological considerations on tract-based spatial statistics (TBSS)

Bach, M., Laun, F. B., Leemans, A., Tax, C. M. W., Biessels, G. J., Stieltjes, B., & Maier-Hein, K. H. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.021 · Cited by 445 · see citing works

The idiosyncratic brain: distortion of spontaneous connectivity patterns in autism spectrum disorder

Hahamy, A., Behrmann, M., & Malach, R. (2015) · Nature Neuroscience · doi:10.1038/nn.3919 · Cited by 416 · see citing works

Neurocognitive endophenotypes of obsessive-compulsive disorder

Menzies, L., Achard, S., Chamberlain, S. R., Fineberg, N., Chen, C.-H., del Campo, N., Sahakian, B. J., Robbins, T. W., & Bullmore, E. (2007) · Brain · doi:10.1093/brain/awm205 · Cited by 443 · see citing works

Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest

Cabral, J., Vidaurre, D., Marques, P., Magalhães, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N., & Kringelbach, M. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-05425-7 · Cited by 386 · see citing works

Neurobiological markers of exercise-related brain plasticity in older adults

Voss, M. W., Erickson, K. I., Prakash, R. S., Chaddock, L., Kim, J. S., Alves, H., Szabo, A., Phillips, S. M., Wójcicki, T. R., Mailey, E. L., et al. (2013) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2012.10.021 · Cited by 418 · see citing works

Considering the role of semantic memory in episodic future thinking: evidence from semantic dementia

Irish, M., Addis, D. R., Hodges, J. R., & Piguet, O. (2012) · Brain · doi:10.1093/brain/aws119 · Cited by 405 · see citing works

Quantitative Investigation of Connections of the Prefrontal Cortex in the Human and Macaque using Probabilistic Diffusion Tractography

Croxson, P. L., Johansen-Berg, H., Behrens, T. E. J., Robson, M. D., Pinsk, M. A., Gross, C. G., Richter, W., Richter, M. C., Kastner, S., & Rushworth, M. F. S. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.1311-05.2005 · Cited by 410 · see citing works

Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks

Musso, F., Brinkmeyer, J., Mobascher, A., Warbrick, T., & Winterer, G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.093 · Cited by 387 · see citing works

Anisotropic kernels for coordinate-based meta-analyses of neuroimaging studies

Radua, J., Rubia, K., Canales-Rodríguez, E. J., Pomarol-Clotet, E., Fusar-Poli, P., & Mataix-Cols, D. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00013 · Cited by 406 · see citing works

Abnormal structure of frontostriatal brain systems is associated with aspects of impulsivity and compulsivity in cocaine dependence

Ersche, K. D., Barnes, A., Jones, P. S., Morein-Zamir, S., Robbins, T. W., & Bullmore, E. T. (2011) · Brain · doi:10.1093/brain/awr138 · Cited by 389 · see citing works

Immaturities in reward processing and its influence on inhibitory control in adolescence.

Geier, C. F., Terwilliger, R., Teslovich, T., Velanova, K., & Luna, B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp225 · Cited by 396 · see citing works

Absolute diffusivities define the landscape of white matter degeneration in Alzheimer’s disease

Acosta-Cabronero, J., Williams, G. B., Pengas, G., & Nestor, P. J. (2010) · Brain · doi:10.1093/brain/awp257 · Cited by 393 · see citing works

Longitudinal changes in grey and white matter during adolescence

Giorgio, A., Watkins, K. E., Chadwick, M., James, S., Winmill, L., Douaud, G., De Stefano, N., Matthews, P. M., Smith, S. M., Johansen-Berg, H., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.003 · Cited by 394 · see citing works

Corticostriatal connectivity underlies individual differences in the balance between habitual and goal-directed action control

de Wit, S., Watson, P., Harsay, H. A., Cohen, M. X., van de Vijver, I., & Ridderinkhof, K. R. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.1088-12.2012 · Cited by 373 · see citing works

Oxytocin modulates amygdala, insula, and inferior frontal gyrus responses to infant crying: a randomized controlled trial

Riem, M. M. E., Bakermans-Kranenburg, M. J., Pieper, S., Tops, M., Boksem, M. A. S., Vermeiren, R. R. J. M., van IJzendoorn, M. H., & Rombouts, S. A. R. B. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.02.006 · Cited by 366 · see citing works

fMRI evidence of compensatory mechanisms in older adults at genetic risk for Alzheimer disease

Bondi, M. W., Houston, W. S., Eyler, L. T., & Brown, G. G. (2005) · Neurology · doi:10.1212/01.wnl.0000150885.00929.7e · Cited by 372 · see citing works

Microstructure Abnormalities in Adolescents with Internet Addiction Disorder

Yuan, K., Qin, W., Wang, G., Zeng, F., Zhao, L., Yang, X., Liu, P., Liu, J., Sun, J., von Deneen, K. M., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020708 · Cited by 367 · see citing works

Choice reaction time performance correlates with diffusion anisotropy in white matter pathways supporting visuospatial attention

Tuch, D. S., Salat, D. H., Wisco, J. J., Zaleta, A. K., Hevelone, N. D., & Rosas, H. D. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407259102 · Cited by 364 · see citing works

Development of Cortical Surface Area and Gyrification in Attention-Deficit/Hyperactivity Disorder

Shaw, P., Malek, M., Watson, B., Sharp, W., Evans, A., & Greenstein, D. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.01.031 · Cited by 357 · see citing works

Brain Imaging Correlates of Depressive Symptom Severity and Predictors of Symptom Improvement After Antidepressant Treatment

Chen, C.-H., Ridler, K., Suckling, J., Williams, S., Fu, C. H. Y., Merlo-Pich, E., & Bullmore, E. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.09.018 · Cited by 354 · see citing works

Early brain enlargement and elevated extra-axial fluid in infants who develop autism spectrum disorder

Shen, M. D., Nordahl, C. W., Young, G. S., Wootton-Gorges, S. L., Lee, A., Liston, S. E., Harrington, K. R., Ozonoff, S., & Amaral, D. G. (2013) · Brain · doi:10.1093/brain/awt166 · Cited by 345 · see citing works

A Dynamic Interplay within the Frontoparietal Network Underlies Rhythmic Spatial Attention

Fiebelkorn, I. C., Pinsk, M. A., & Kastner, S. (2018) · Neuron · doi:10.1016/j.neuron.2018.07.038 · Cited by 356 · see citing works

Effectiveness of regional DTI measures in distinguishing Alzheimer’s disease, MCI, and normal aging

Nir, T. M., Jahanshad, N., Villalon-Reina, J. E., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.07.006 · Cited by 348 · see citing works

Visual inspection of independent components: defining a procedure for artifact removal from fMRI data

Kelly, R. E., Alexopoulos, G. S., Wang, Z., Gunning, F. M., Murphy, C. F., Morimoto, S. S., Kanellopoulos, D., Jia, Z., Lim, K. O., & Hoptman, M. J. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.03.028 · Cited by 345 · see citing works

How the Opinion of Others Affects Our Valuation of Objects

Campbell-Meiklejohn, D. K., Bach, D. R., Roepstorff, A., Dolan, R. J., & Frith, C. D. (2010) · Current Biology · doi:10.1016/j.cub.2010.04.055 · Cited by 339 · see citing works

Impact of short- and long-term mindfulness meditation training on amygdala reactivity to emotional stimuli

Kral, T. R. A., Schuyler, B. S., Mumford, J. A., Rosenkranz, M. A., Lutz, A., & Davidson, R. J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.013 · Cited by 326 · see citing works

Overview of quantitative susceptibility mapping

Deistung, A., Schweser, F., & Reichenbach, J. R. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3569 · Cited by 338 · see citing works

fMRI of alterations in reward selection, anticipation, and feedback in major depressive disorder

Smoski, M. J., Felder, J., Bizzell, J., Green, S. R., Ernst, M., Lynch, T. R., & Dichter, G. S. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.01.034 · Cited by 328 · see citing works

Towards quantitative connectivity analysis: reducing tractography biases

Girard, G., Whittingstall, K., Deriche, R., & Descoteaux, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.074 · Cited by 324 · see citing works

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 · see citing works

Decreased cerebrospinal fluid Aβ ₄₂ correlates with brain atrophy in cognitively normal elderly

Fagan, A. M., Head, D., Shah, A. R., Marcus, D., Mintun, M., Morris, J. C., & Holtzman, D. M. (2009) · Annals of Neurology · doi:10.1002/ana.21559 · Cited by 327 · see citing works

Transient and linearly graded deactivation of the human default-mode network by a visual detection task

Singh, K. D., & Fawcett, I. P. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.051 · Cited by 312 · see citing works

Neuroimaging of Cognitive Dysfunction and Depression in Aging Retired National Football League Players: A Cross-sectional Study

Hart, J., Kraut, M. A., Womack, K. B., Strain, J., Didehbani, N., Bartz, E., Conover, H., Mansinghani, S., Lu, H., & Cullum, C. M. (2013) · JAMA Neurology · doi:10.1001/2013.jamaneurol.340 · Cited by 315 · see citing works

Distinct Value Signals in Anterior and Posterior Ventromedial Prefrontal Cortex

Smith, D. V., Hayden, B. Y., Truong, T.-K., Song, A. W., Platt, M. L., & Huettel, S. A. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.3319-09.2010 · Cited by 300 · see citing works

Resting-state cortico-thalamic-striatal connectivity predicts response to dorsomedial prefrontal rTMS in major depressive disorder

Salomons, T. V., Dunlop, K., Kennedy, S. H., Flint, A., Geraci, J., Giacobbe, P., & Downar, J. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.222 · Cited by 299 · see citing works

Trajectories of Cerebral Cortical Development in Childhood and Adolescence and Adult Attention-Deficit/Hyperactivity Disorder

Shaw, P., Malek, M., Watson, B., Greenstein, D., de Rossi, P., & Sharp, W. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.04.007 · Cited by 303 · see citing works

Reward circuitry function in autism spectrum disorders

Dichter, G. S., Felder, J. N., Green, S. R., Rittenberg, A. M., Sasson, N. J., & Bodfish, J. W. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsq095 · Cited by 296 · see citing works

A Diffusion Tensor Imaging Study on the White Matter Skeleton in Individuals with Sports-Related Concussion

Cubon, V. A., Putukian, M., Boyer, C., & Dettwiler, A. (2011) · Journal of Neurotrauma · doi:10.1089/neu.2010.1430 · Cited by 297 · see citing works

The Analgesic Effects of Opioids and Immersive Virtual Reality Distraction: Evidence from Subjective and Functional Brain Imaging Assessments

Hoffman, H. G., Richards, T. L., Van Oostrom, T., Coda, B. A., Jensen, M. P., Blough, D. K., & Sharar, S. R. (2007) · Anesthesia & Analgesia · doi:10.1213/01.ane.0000270205.45146.db · Cited by 295 · see citing works

Diffusion tensor imaging in preclinical and presymptomatic carriers of familial Alzheimer’s disease mutations

Ringman, J. M., O'Neill, J., Geschwind, D., Medina, L., Apostolova, L. G., Rodriguez, Y., Schaffer, B., Varpetian, A., Tseng, B., Ortiz, F., et al. (2007) · Brain · doi:10.1093/brain/awm102 · Cited by 290 · see citing works

Neural mechanisms of symptom improvements in generalized anxiety disorder following mindfulness training

Hölzel, B. K., Hoge, E. A., Greve, D. N., Gard, T., Creswell, J. D., Brown, K. W., Barrett, L. F., Schwartz, C., Vaitl, D., & Lazar, S. W. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.03.011 · Cited by 281 · see citing works

Evidence for Neurocognitive Plasticity in At-Risk Older Adults: The Experience Corps Program

Carlson, M. C., Erickson, K. I., Kramer, A. F., Voss, M. W., Bolea, N., Mielke, M., McGill, S., Rebok, G. W., Seeman, T., & Fried, L. P. (2009) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glp117 · Cited by 286 · see citing works

Alterations in regional homogeneity of resting-state brain activity in autism spectrum disorders

Paakki, J.-J., Rahko, J., Long, X., Moilanen, I., Tervonen, O., Nikkinen, J., Starck, T., Remes, J., Hurtig, T., Haapsamo, H., et al. (2010) · Brain Research · doi:10.1016/j.brainres.2009.12.081 · Cited by 286 · see citing works

Prenatal maternal depression alters amygdala functional connectivity in 6-month-old infants

Qiu, A., Anh, T. T., Li, Y., Chen, H., Rifkin-Graboi, A., Broekman, B. F. P., Kwek, K., Saw, S.-M., Chong, Y.-S., Gluckman, P. D., et al. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.3 · Cited by 282 · see citing works

Widespread modulation of cerebral perfusion induced during and after transcranial direct current stimulation applied to the left dorsolateral prefrontal cortex

Stagg, C. J., Lin, R. L., Mezue, M., Segerdahl, A., Kong, Y., Xie, J., & Tracey, I. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3887-12.2013 · Cited by 279 · see citing works

Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth

Satterthwaite, T. D., Wolf, D. H., Ruparel, K., Erus, G., Elliott, M. A., Eickhoff, S. B., Gennatas, E. D., Jackson, C., Prabhakaran, K., Smith, A., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.045 · Cited by 253 · see citing works

['Gold standard', not 'golden standard'].

Claassen, J. A. H. R. (2005) · PubMed · Cited by 9 · see citing works

‘Cure’ as the gold standard for likelihood ratio assessment: theoretical considerations

Rutten, A. L. B., Stolper, C. F., Lugten, R. F. G., et al. (2004) · Homeopathy · doi:10.1016/j.homp.2004.03.001 · Cited by 18 · see citing works

A Study on Intercategorial Polysemy of Head

Min, H. (2020) · STUDIES IN HUMANITIES · doi:10.33252/sih.2020.9.66.117

Partial verification bias and incorporation bias affected accuracy estimates of diagnostic studies for biomarkers that were part of an existing composite gold standard

Karch, A., Koch, A., Zapf, A., Zerr, I., & Karch, A. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2016.03.022 · Cited by 23 · see citing works

Head-to-Head Polymers. XXVIII. Attempted Syntheses of Linear Head-to-Head Polyisobutylene

Malanga, M., & Vogl, O. (1985) · Journal of Macromolecular Science Part A - Chemistry · doi:10.1080/00222338508063361 · Cited by 4 · see citing works