A citation-based method for searching scientific literature

Francisco Pereira, Tom Mitchell, Matthew Botvinick. Neuroimage 2009
Times Cited: 822







List of co-cited articles
517 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Beyond mind-reading: multi-voxel pattern analysis of fMRI data.
Kenneth A Norman, Sean M Polyn, Greg J Detre, James V Haxby. Trends Cogn Sci 2006
18

Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain.
N Tzourio-Mazoyer, B Landeau, D Papathanassiou, F Crivello, O Etard, N Delcroix, B Mazoyer, M Joliot. Neuroimage 2002
15

Prediction of individual brain maturity using fMRI.
Nico U F Dosenbach, Binyam Nardos, Alexander L Cohen, Damien A Fair, Jonathan D Power, Jessica A Church, Steven M Nelson, Gagan S Wig, Alecia C Vogel, Christina N Lessov-Schlaggar,[...]. Science 2010
15

Information-based functional brain mapping.
Nikolaus Kriegeskorte, Rainer Goebel, Peter Bandettini. Proc Natl Acad Sci U S A 2006
13


Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data.
Janaina Mourão-Miranda, Arun L W Bokde, Christine Born, Harald Hampel, Martin Stetter. Neuroimage 2005
392
11


DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.
Chao-Gan Yan, Xin-Di Wang, Xi-Nian Zuo, Yu-Feng Zang. Neuroinformatics 2016
937
10

Distributed and overlapping representations of faces and objects in ventral temporal cortex.
J V Haxby, M I Gobbini, M L Furey, A Ishai, J L Schouten, P Pietrini. Science 2001
10


Representational similarity analysis - connecting the branches of systems neuroscience.
Nikolaus Kriegeskorte, Marieke Mur, Peter Bandettini. Front Syst Neurosci 2008
9

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines.
Gaël Varoquaux, Pradeep Reddy Raamana, Denis A Engemann, Andrés Hoyos-Idrobo, Yannick Schwartz, Bertrand Thirion. Neuroimage 2017
209
9

Decoding mental states from brain activity in humans.
John-Dylan Haynes, Geraint Rees. Nat Rev Neurosci 2006
885
8


The organization of the human cerebral cortex estimated by intrinsic functional connectivity.
B T Thomas Yeo, Fenna M Krienen, Jorge Sepulcre, Mert R Sabuncu, Danial Lashkari, Marisa Hollinshead, Joshua L Roffman, Jordan W Smoller, Lilla Zöllei, Jonathan R Polimeni,[...]. J Neurophysiol 2011
8

The human brain is intrinsically organized into dynamic, anticorrelated functional networks.
Michael D Fox, Abraham Z Snyder, Justin L Vincent, Maurizio Corbetta, David C Van Essen, Marcus E Raichle. Proc Natl Acad Sci U S A 2005
8



Improved optimization for the robust and accurate linear registration and motion correction of brain images.
Mark Jenkinson, Peter Bannister, Michael Brady, Stephen Smith. Neuroimage 2002
7


Multivariate classification of social anxiety disorder using whole brain functional connectivity.
Feng Liu, Wenbin Guo, Jean-Paul Fouche, Yifeng Wang, Wenqin Wang, Jurong Ding, Ling Zeng, Changjian Qiu, Qiyong Gong, Wei Zhang,[...]. Brain Struct Funct 2015
188
7

Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis.
Ling-Li Zeng, Hui Shen, Li Liu, Lubin Wang, Baojuan Li, Peng Fang, Zongtan Zhou, Yaming Li, Dewen Hu. Brain 2012
404
7

On the interpretation of weight vectors of linear models in multivariate neuroimaging.
Stefan Haufe, Frank Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann. Neuroimage 2014
428
7

Deconstructing multivariate decoding for the study of brain function.
Martin N Hebart, Chris I Baker. Neuroimage 2018
76
9


Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks.
Susan Whitfield-Gabrieli, Alfonso Nieto-Castanon. Brain Connect 2012
7

Machine learning for neuroimaging with scikit-learn.
Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, Gaël Varoquaux. Front Neuroinform 2014
341
7

Functional network organization of the human brain.
Jonathan D Power, Alexander L Cohen, Steven M Nelson, Gagan S Wig, Kelly Anne Barnes, Jessica A Church, Alecia C Vogel, Timothy O Laumann, Fran M Miezin, Bradley L Schlaggar,[...]. Neuron 2011
7

Building better biomarkers: brain models in translational neuroimaging.
Choong-Wan Woo, Luke J Chang, Martin A Lindquist, Tor D Wager. Nat Neurosci 2017
321
6

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.
Mohammad R Arbabshirani, Sergey Plis, Jing Sui, Vince D Calhoun. Neuroimage 2017
296
6

Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review.
Graziella Orrù, William Pettersson-Yeo, Andre F Marquand, Giuseppe Sartori, Andrea Mechelli. Neurosci Biobehav Rev 2012
468
6

Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.
Federico De Martino, Giancarlo Valente, Noël Staeren, John Ashburner, Rainer Goebel, Elia Formisano. Neuroimage 2008
299
6

Decoding neural representational spaces using multivariate pattern analysis.
James V Haxby, Andrew C Connolly, J Swaroop Guntupalli. Annu Rev Neurosci 2014
263
6

The brain's default network: anatomy, function, and relevance to disease.
Randy L Buckner, Jessica R Andrews-Hanna, Daniel L Schacter. Ann N Y Acad Sci 2008
6

Predicting human brain activity associated with the meanings of nouns.
Tom M Mitchell, Svetlana V Shinkareva, Andrew Carlson, Kai-Min Chang, Vicente L Malave, Robert A Mason, Marcel Adam Just. Science 2008
408
6

PRoNTo: pattern recognition for neuroimaging toolbox.
J Schrouff, M J Rosa, J M Rondina, A F Marquand, C Chu, J Ashburner, C Phillips, J Richiardi, J Mourão-Miranda. Neuroinformatics 2013
205
6

Introduction to machine learning for brain imaging.
Steven Lemm, Benjamin Blankertz, Thorsten Dickhaus, Klaus-Robert Müller. Neuroimage 2011
285
6

The economy of brain network organization.
Ed Bullmore, Olaf Sporns. Nat Rev Neurosci 2012
6


Methods to detect, characterize, and remove motion artifact in resting state fMRI.
Jonathan D Power, Anish Mitra, Timothy O Laumann, Abraham Z Snyder, Bradley L Schlaggar, Steven E Petersen. Neuroimage 2014
6

Revealing representational content with pattern-information fMRI--an introductory guide.
Marieke Mur, Peter A Bandettini, Nikolaus Kriegeskorte. Soc Cogn Affect Neurosci 2009
223
6

Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3).
Zhengjia Dai, Chaogan Yan, Zhiqun Wang, Jinhui Wang, Mingrui Xia, Kuncheng Li, Yong He. Neuroimage 2012
162
5

Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.
B Biswal, F Z Yetkin, V M Haughton, J S Hyde. Magn Reson Med 1995
5


Comparison of multivariate classifiers and response normalizations for pattern-information fMRI.
Masaya Misaki, Youn Kim, Peter A Bandettini, Nikolaus Kriegeskorte. Neuroimage 2010
262
5

An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.
Rahul S Desikan, Florent Ségonne, Bruce Fischl, Brian T Quinn, Bradford C Dickerson, Deborah Blacker, Randy L Buckner, Anders M Dale, R Paul Maguire, Bradley T Hyman,[...]. Neuroimage 2006
5

Circular analysis in systems neuroscience: the dangers of double dipping.
Nikolaus Kriegeskorte, W Kyle Simmons, Patrick S F Bellgowan, Chris I Baker. Nat Neurosci 2009
5

An fMRI-based neurologic signature of physical pain.
Tor D Wager, Lauren Y Atlas, Martin A Lindquist, Mathieu Roy, Choong-Wan Woo, Ethan Kross. N Engl J Med 2013
681
5

Multivariate pattern analysis of DTI reveals differential white matter in individuals with obsessive-compulsive disorder.
Fei Li, Xiaoqi Huang, Wanjie Tang, Yanchun Yang, Bin Li, Graham J Kemp, Andrea Mechelli, Qiyong Gong. Hum Brain Mapp 2014
43
11

Computational approaches to fMRI analysis.
Jonathan D Cohen, Nathaniel Daw, Barbara Engelhardt, Uri Hasson, Kai Li, Yael Niv, Kenneth A Norman, Jonathan Pillow, Peter J Ramadge, Nicholas B Turk-Browne,[...]. Nat Neurosci 2017
70
7


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.