Information-based functional brain mapping

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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Co-Planar Stereotaxic Atlas of the Human Brain

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Cortical Surface-Based Analysis

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Statistical parametric maps in functional imaging: A general linear approach

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The fusiform face area: a module in human extrastriate cortex specialized for face perception

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Co-planar stereotaxic atlas of the human brain

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Nonparametric permutation tests for functional neuroimaging: A primer with examples

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Thresholding of statistical maps in functional neuroimaging using the false discovery rate

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Distributed and overlapping representations of faces and objects in ventral temporal cortex

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A cortical representation of the local visual environment

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Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1

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A three-dimensional statistical analysis for CBF activation studies in human brain

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Assessing the significance of focal activations using their spatial extent

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Analysis of functional MRI time‐series

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Decoding the visual and subjective contents of the human brain

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Improved estimation of the covariance matrix of stock returns with an application to portfolio selection

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A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics

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Functional magnetic resonance imaging (fMRI) “brain reading”: detecting and classifying distributed patterns of fMRI activity in human visual cortex

Cox, D., & Savoy, R. L. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00049-1 · Cited by 1,057 · see citing works

Distributed representation of objects in the human ventral visual pathway

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Predicting the orientation of invisible stimuli from activity in human primary visual cortex

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Face-sensitive regions in human extrastriate cortex studied by functional MRI

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Combining spatial extent and peak intensity to test for activations in functional imaging

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Functional and structural mapping of human cerebral cortex: Solutions are in the surfaces

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Patterns of Activity in the Categorical Representations of Objects

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An Efficient Algorithm for Topologically Correct Segmentation of the Cortical Sheet in Anatomical MR Volumes

Kriegeskorte, N., & Goebel, R. (2001) · NeuroImage · doi:10.1006/nimg.2001.0831 · Cited by 249 · see citing works

Patterns of Activity in the Categorical Representations of Objects

Carlson, T. A., Schrater, P., & He, S. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2003.15.5.704 · Cited by 215 · see citing works

Toward direct visualization of the internal shape representation space by fMRI

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Anticipation causes increased blood flow to the anterior cingulate cortex

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Cortex-based independent component analysis of fMRI time series

Formisano, E., Esposito, F., Salle, F. D., & Goebel, R. (2004) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.10.020 · Cited by 110 · see citing works

Representational similarity analysis-connecting the branches of systems neuroscience

Kriegeskorte, N. (2008) · Frontiers in Systems Neuroscience · doi:10.3389/neuro.06.004.2008 · Cited by 3,355 · see citing works

Circular analysis in systems neuroscience: the dangers of double dipping

Kriegeskorte, N., Simmons, W. K., Bellgowan, P. S. F., & Baker, C. I. (2009) · Nature Neuroscience · doi:10.1038/nn.2303 · Cited by 2,696 · see citing works

Beyond mind-reading: multi-voxel pattern analysis of fMRI data

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Unconscious determinants of free decisions in the human brain

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Machine learning classifiers and fMRI: A tutorial overview

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Building better biomarkers: brain models in translational neuroimaging

Woo, C.-W., Chang, L. J., Lindquist, M. A., & Wager, T. D. (2017) · Nature Neuroscience · doi:10.1038/nn.4478 · Cited by 1,056 · see citing works

The Distributed Nature of Working Memory

Christophel, T. B., Klink, P. C., Spitzer, B., Roelfsema, P. R., & Haynes, J.-D. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.12.007 · Cited by 882 · see citing works

Cross-validation failure: Small sample sizes lead to large error bars

Varoquaux, G. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.061 · Cited by 897 · see citing works

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

Cichy, R. M., Khosla, A., Pantazis, D., Torralba, A., & Oliva, A. (2016) · Scientific Reports · doi:10.1038/srep27755 · Cited by 716 · see citing works

Shared memories reveal shared structure in neural activity across individuals

Chen, J., Leong, Y. C., Honey, C. J., Yong, C. H., Norman, K. A., & Hasson, U. (2017) · Nature Neuroscience · doi:10.1038/nn.4450 · Cited by 645 · see citing works

Decoding Neural Representational Spaces Using Multivariate Pattern Analysis

Haxby, J. V., Connolly, A. C., & Guntupalli, J. S. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170325 · Cited by 717 · see citing works

Human orbitofrontal cortex represents a cognitive map of state space

Schuck, N. W., Cai, M. B., Wilson, R. C., & Niv, Y. (2016) · Neuron · doi:10.1016/j.neuron.2016.08.019 · Cited by 602 · see citing works

Mirror neurons: from origin to function

Cook, R., Bird, G., Catmur, C., Press, C., & Heyes, C. (2014) · Behavioral and Brain Sciences · doi:10.1017/s0140525x13000903 · Cited by 632 · see citing works

Who “Is Saying What”? Brain-based decoding of human voice and speech

Formisano, E., De Martino, F., Bonte, M., & Goebel, R. (2008) · Science · doi:10.1126/science.1164318 · Cited by 599 · see citing works

A Review of Feature Reduction Techniques in Neuroimaging

Mwangi, B., Tian, T. S., & Soares, J. C. (2014) · Neuroinformatics · doi:10.1007/s12021-013-9204-3 · Cited by 559 · see citing works

Describing the Brain in Autism in Five Dimensions—Magnetic Resonance Imaging-Assisted Diagnosis of Autism Spectrum Disorder Using a Multiparameter Classification Approach

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 · see citing works

A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives

Haynes, J.-D. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.025 · Cited by 402 · see citing works

The relationship between working memory storage and elevated activity as measured with functional magnetic resonance imaging

Riggall, A. C., & Postle, B. R. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.1892-12.2012 · Cited by 385 · see citing works

Decoding Patterns of Human Brain Activity

Tong, F., & Pratte, M. S. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-120710-100412 · Cited by 375 · see citing works

Statistical inference and multiple testing correction in classification-based multi-voxel pattern analysis (MVPA): Random permutations and cluster size control

Stelzer, J., Chen, Y., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.063 · Cited by 372 · see citing works

Similarity breeds proximity: pattern similarity within and across contexts is related to later mnemonic judgments of temporal proximity

Ezzyat, Y., & Davachi, L. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.042 · Cited by 321 · see citing works

Shared understanding of narratives is correlated with shared neural responses

Nguyen, M., Vanderwal, T., & Hasson, U. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.09.010 · Cited by 304 · see citing works

Top-down activation of shape-specific population codes in visual cortex during mental imagery

Stokes, M., Thompson, R., Cusack, R., & Duncan, J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4657-08.2009 · Cited by 323 · see citing works

Distributed Representations in Memory: Insights from Functional Brain Imaging

Rissman, J., & Wagner, A. D. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-120710-100344 · Cited by 299 · see citing works

Decoding the charitable brain: empathy, perspective taking, and attention shifts differentially predict altruistic giving

Tusche, A., Böckler, A., Kanske, P., Trautwein, F.-M., & Singer, T. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.3392-15.2016 · Cited by 309 · see citing works

Vividness of Visual Imagery Depends on the Neural Overlap with Perception in Visual Areas

Dijkstra, N., Bosch, S. E., & van Gerven, M. A. J. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3022-16.2016 · Cited by 315 · see citing works

Separate neural representations for physical pain and social rejection

Woo, C.-W., Koban, L., Kross, E., Lindquist, M. A., Banich, M. T., Ruzic, L., Andrews-Hanna, J. R., & Wager, T. D. (2014) · Nature Communications · doi:10.1038/ncomms6380 · Cited by 310 · see citing works

From part- to whole-body ownership in the multisensory brain

Petkova, V. I., Björnsdotter, M., Gentile, G., Jonsson, T., Li, T.-Q., & Ehrsson, H. H. (2011) · Current Biology · doi:10.1016/j.cub.2011.05.022 · Cited by 301 · see citing works

Linking pattern completion in the hippocampus to predictive coding in visual cortex

Hindy, N. C., Ng, F. Y., & Turk-Browne, N. B. (2016) · Nature Neuroscience · doi:10.1038/nn.4284 · Cited by 246 · see citing works

Anchoring the neural compass: coding of local spatial reference frames in human medial parietal lobe

Marchette, S. A., Vass, L. K., Ryan, J., & Epstein, R. A. (2014) · Nature Neuroscience · doi:10.1038/nn.3834 · Cited by 287 · see citing works

Recollection, familiarity, and cortical reinstatement: a multivoxel pattern analysis

Johnson, J. D., McDuff, S. G. R., Rugg, M. D., & Norman, K. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.08.011 · Cited by 262 · see citing works

How we transmit memories to other brains: constructing shared neural representations via communication

Zadbood, A., Chen, J., Leong, Y. C., Norman, K. A., & Hasson, U. (2016) · doi:10.1101/081208 · Cited by 281 · see citing works

Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex

Kragel, P. A., Kano, M., Van Oudenhove, L., Ly, H. G., Dupont, P., Rubio, A., Delon-Martin, C., Bonaz, B. L., Manuck, S. B., Gianaros, P. J., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0051-7 · Cited by 272 · see citing works

The neural code of reward anticipation in human orbitofrontal cortex

Kahnt, T., Heinzle, J., Park, S. Q., & Haynes, J.-D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0912838107 · Cited by 274 · see citing works

Spontaneous and Task-Evoked Brain Activity Negatively Interact

He, B. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2922-12.2013 · Cited by 272 · see citing works

Imagine all the people: how the brain creates and uses personality models to predict behavior

Hassabis, D., Spreng, R. N., Rusu, A. A., Robbins, C. A., Mar, R. A., & Schacter, D. L. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht042 · Cited by 247 · see citing works

How We Transmit Memories to Other Brains: Constructing Shared Neural Representations Via Communication

Zadbood, A., Chen, J., Leong, Y. C., Norman, K. A., & Hasson, U. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx202 · Cited by 281 · see citing works

Prospective representation of navigational goals in the human hippocampus

Brown, T. I., Carr, V. A., LaRocque, K. F., Favila, S. E., Gordon, A. M., Bowles, B., Bailenson, J. N., & Wagner, A. D. (2016) · Science · doi:10.1126/science.aaf0784 · Cited by 233 · see citing works

Imagery and perception share cortical representations of content and location

Cichy, R. M., Heinzle, J., & Haynes, J.-D. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr106 · Cited by 242 · see citing works

Dynamic updating of hippocampal object representations reflects new conceptual knowledge

Mack, M. L., Love, B. C., & Preston, A. R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1614048113 · Cited by 223 · see citing works

Learning and comparing functional connectomes across subjects

Varoquaux, G., & Craddock, R. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.007 · Cited by 233 · see citing works

Decoding Neuronal Ensembles in the Human Hippocampus

Hassabis, D., Chu, C., Rees, G., Weiskopf, N., Molyneux, P. D., & Maguire, E. A. (2009) · Current Biology · doi:10.1016/j.cub.2009.02.033 · Cited by 231 · see citing works

Posterior cingulate cortex integrates the senses of self-location and body ownership

Guterstam, A., Björnsdotter, M., Gentile, G., & Ehrsson, H. H. (2015) · Current Biology · doi:10.1016/j.cub.2015.03.059 · Cited by 220 · see citing works

Flow of affective information between communicating brains

Anders, S., Heinzle, J., Weiskopf, N., Ethofer, T., & Haynes, J.-D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.004 · Cited by 206 · see citing works

Prediction errors but not sharpened signals simulate multivoxel fMRI patterns during speech perception

Blank, H., & Davis, M. H. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002577 · Cited by 181 · see citing works

Distances between real-world locations are represented in the human hippocampus

Morgan, L. K., MacEvoy, S. P., Aguirre, G. K., & Epstein, R. A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4667-10.2011 · Cited by 203 · see citing works

Interaction between Scene and Object Processing Revealed by Human fMRI and MEG Decoding

Brandman, T., & Peelen, M. V. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0582-17.2017 · Cited by 168 · see citing works

Delusions and the role of beliefs in perceptual inference

Schmack, K., Gòmez-Carrillo de Castro, A., Rothkirch, M., Sekutowicz, M., Rössler, H., Haynes, J.-D., Heinz, A., Petrovic, P., & Sterzer, P. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1778-13.2013 · Cited by 198 · see citing works

A common cortical metric for spatial, temporal, and social distance

Parkinson, C., Liu, S., & Wheatley, T. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.2159-13.2014 · Cited by 198 · see citing works

Multivariate Searchlight Classification of Structural Magnetic Resonance Imaging in Children and Adolescents with Autism

Uddin, L. Q., Menon, V., Young, C. B., Ryali, S., Chen, T., Khouzam, A., Minshew, N. J., & Hardan, A. Y. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.07.014 · Cited by 187 · see citing works

Functional Magnetic Resonance Imaging Investigation of Overlapping Lateral Occipitotemporal Activations Using Multi-Voxel Pattern Analysis

Downing, P. E., Wiggett, A. J., & Peelen, M. V. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3619-06.2007 · Cited by 181 · see citing works

An insula-frontostriatal network mediates flexible cognitive control by adaptively predicting changing control demands

Jiang, J., Beck, J., Heller, K., & Egner, T. (2015) · Nature Communications · doi:10.1038/ncomms9165 · Cited by 160 · see citing works

Reinstatement of individual past events revealed by the similarity of distributed activation patterns during encoding and retrieval

Wing, E. A., Ritchey, M., & Cabeza, R. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00740 · Cited by 174 · see citing works

Imaging the Human Medial Temporal Lobe with High-Resolution fMRI

Carr, V. A., Rissman, J., & Wagner, A. D. (2010) · Neuron · doi:10.1016/j.neuron.2009.12.022 · Cited by 174 · see citing works

A distributed fMRI-based signature for the subjective experience of fear

Zhou, F., Zhao, W., Qi, Z., Geng, Y., Yao, S., Kendrick, K. M., Wager, T. D., & Becker, B. (2021) · Nature Communications · doi:10.1038/s41467-021-26977-3 · Cited by 155 · see citing works

Action sharpens sensory representations of expected outcomes

Yon, D., Gilbert, S. J., de Lange, F. P., & Press, C. (2018) · Nature Communications · doi:10.1038/s41467-018-06752-7 · Cited by 145 · see citing works

Clinical prediction from structural brain MRI scans: A large-scale empirical study

Initiative, F. T. A. D. N., Sabuncu, M. R., & Konukoglu, E. (2015) · Neuroinformatics · doi:10.1007/s12021-014-9238-1 · Cited by 161 · see citing works

Generative embedding for model-based classification of fMRI data

Brodersen, K. H., Schofield, T. M., Leff, A. P., Ong, C. S., Lomakina, E. I., Buhmann, J. M., & Stephan, K. E. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002079 · Cited by 165 · see citing works

Mapping the MRI voxel volume in which thermal noise matches physiological noise—implications for fMRI

Bodurka, J., Ye, F., Petridou, N., Murphy, K., & Bandettini, P. A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.039 · Cited by 158 · see citing works

Valid population inference for information-based imaging: From the second-level t -test to prevalence inference

Allefeld, C., Görgen, K., & Haynes, J.-D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.040 · Cited by 157 · see citing works

Attention Sharpens the Distinction between Expected and Unexpected Percepts in the Visual Brain

Jiang, J., Summerfield, C., & Egner, T. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3308-13.2013 · Cited by 133 · see citing works

Hierarchical organization of auditory and motor representations in speech perception: Evidence from searchlight similarity analysis

Evans, S., & Davis, M. H. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv136 · Cited by 130 · see citing works

Memory reactivation in healthy aging: evidence of stimulus-specific dedifferentiation

St-Laurent, M., Abdi, H., Bondad, A., & Buchsbaum, B. R. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3054-13.2014 · Cited by 126 · see citing works

Modality-Independent Decoding of Semantic Information from the Human Brain

Simanova, I., Hagoort, P., Oostenveld, R., & van Gerven, M. A. J. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs324 · Cited by 138 · see citing works

Decoding the yellow of a gray banana

Bannert, M. M., & Bartels, A. (2013) · Current Biology · doi:10.1016/j.cub.2013.09.016 · Cited by 146 · see citing works

Within-patient correspondence of amyloid-β and intrinsic network connectivity in Alzheimer’s disease

Myers, N., Pasquini, L., Göttler, J., Grimmer, T., Koch, K., Ortner, M., Neitzel, J., Mühlau, M., Förster, S., Kurz, A., et al. (2014) · Brain · doi:10.1093/brain/awu103 · Cited by 132 · see citing works

Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an Example

Kassraian-Fard, P., Matthis, C., Balsters, J. H., Maathuis, M. H., & Wenderoth, N. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00177 · Cited by 132 · see citing works

Intersubject Variability of and Genetic Effects on the Brain's Functional Connectivity during Infancy

Gao, W., Elton, A., Zhu, H., Alcauter, S., Smith, J. K., Gilmore, J. H., & Lin, W. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.5072-13.2014 · Cited by 131 · see citing works

Reward Motivation Enhances Task Coding in Frontoparietal Cortex

Etzel, J. A., Cole, M. W., Zacks, J. M., Kay, K. N., & Braver, T. S. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhu327 · Cited by 132 · see citing works

Taste Quality Representation in the Human Brain

Avery, J. A., Liu, A. G., Ingeholm, J. E., Riddell, C. D., Gotts, S. J., & Martin, A. (2020) · The Journal of Neuroscience · doi:10.1523/jneurosci.1751-19.2019 · Cited by 127 · see citing works

Fear reduction without fear through reinforcement of neural activity that bypasses conscious exposure

Koizumi, A., Amano, K., Cortese, A., Shibata, K., Yoshida, W., Seymour, B., Kawato, M., & Lau, H. (2016) · Nature Human Behaviour · doi:10.1038/s41562-016-0006 · Cited by 133 · see citing works

Measuring neural representations with fMRI: practices and pitfalls

Davis, T., & Poldrack, R. A. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12156 · Cited by 132 · see citing works

Abstract Representations of Location and Facing Direction in the Human Brain

Vass, L. K., & Epstein, R. A. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3873-12.2013 · Cited by 131 · see citing works

Immature integration and segregation of emotion-related brain circuitry in young children

Qin, S., Young, C. B., Supekar, K., Uddin, L. Q., & Menon, V. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120408109 · Cited by 130 · see citing works

Mechanisms underlying decoding at 7 T: ocular dominance columns, broad structures, and macroscopic blood vessels in V1 convey information on the stimulated eye

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Distributed neural representations of phonological features during speech perception

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