A citation-based method for searching scientific literature

Linlin Zhang, Michele Guindani, Francesco Versace, Marina Vannucci. Neuroimage 2014
Times Cited: 13







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



Times Cited
  Times     Co-cited
Similarity


Modeling inter-subject variability in FMRI activation location: a Bayesian hierarchical spatial model.
Lei Xu, Timothy D Johnson, Thomas E Nichols, Derek E Nee. Biometrics 2009
27
46

Bayesian Models for fMRI Data Analysis.
Linlin Zhang, Michele Guindani, Marina Vannucci. Wiley Interdiscip Rev Comput Stat 2015
21
46

A Bayesian hierarchical framework for spatial modeling of fMRI data.
F DuBois Bowman, Brian Caffo, Susan Spear Bassett, Clinton Kilts. Neuroimage 2008
61
38

Spatial Bayesian Variable Selection Models on Functional Magnetic Resonance Imaging Time-Series Data.
Kuo-Jung Lee, Galin L Jones, Brian S Caffo, Susan Spear Bassett. Bayesian Anal 2014
12
33

Event-related fMRI: characterizing differential responses.
K J Friston, P Fletcher, O Josephs, A Holmes, M D Rugg, R Turner. Neuroimage 1998
30

Determining hierarchical functional networks from auditory stimuli fMRI.
Rajan S Patel, F Dubois Bowman, James K Rilling. Hum Brain Mapp 2006
15
23

Predicting brain activity using a Bayesian spatial model.
Gordana Derado, F Dubois Bowman, Lijun Zhang. Stat Methods Med Res 2013
14
23

An Integrative Bayesian Modeling Approach to Imaging Genetics.
Francesco C Stingo, Michele Guindani, Marina Vannucci, Vince D Calhoun. J Am Stat Assoc 2013
20
23

Fully Bayesian spatio-temporal modeling of FMRI data.
Mark W Woolrich, Mark Jenkinson, J Michael Brady, Stephen M Smith. IEEE Trans Med Imaging 2004
130
23

Variational Bayesian inference for fMRI time series.
Will Penny, Stefan Kiebel, Karl Friston. Neuroimage 2003
108
23

Investigation of low frequency drift in fMRI signal.
A M Smith, B K Lewis, U E Ruttimann, F Q Ye, T M Sinnwell, Y Yang, J H Duyn, J A Frank. Neuroimage 1999
214
23

Determining functional connectivity using fMRI data with diffusion-based anatomical weighting.
F DuBois Bowman, Lijun Zhang, Gordana Derado, Shuo Chen. Neuroimage 2012
51
23

A Bayesian spatiotemporal model for very large data sets.
L M Harrison, G G R Green. Neuroimage 2010
10
30

A general statistical analysis for fMRI data.
K J Worsley, C H Liao, J Aston, V Petre, G H Duncan, F Morales, A C Evans. Neuroimage 2002
787
23

Dynamic connectivity regression: determining state-related changes in brain connectivity.
Ivor Cribben, Ragnheidur Haraldsdottir, Lauren Y Atlas, Tor D Wager, Martin A Lindquist. Neuroimage 2012
155
23


Bayesian fMRI data analysis with sparse spatial basis function priors.
Guillaume Flandin, William D Penny. Neuroimage 2007
60
23

False Discovery Control in Large-Scale Spatial Multiple Testing.
Wenguang Sun, Brian J Reich, T Tony Cai, Michele Guindani, Armin Schwartzman. J R Stat Soc Series B Stat Methodol 2015
21
23

Spatio-Spectral Mixed Effects Model for Functional Magnetic Resonance Imaging Data.
Hakmook Kang, Hernando Ombao, Crystal Linkletter, Nicole Long, David Badre. J Am Stat Assoc 2012
20
23

Spatially Varying Coefficient Model for Neuroimaging Data with Jump Discontinuities.
Hongtu Zhu, Jianqing Fan, Linglong Kong. J Am Stat Assoc 2014
25
23

Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates.
Anders Eklund, Thomas E Nichols, Hans Knutsson. Proc Natl Acad Sci U S A 2016
23

Understanding the Impact of Stroke on Brain Motor Function: A Hierarchical Bayesian Approach.
Zhe Yu, Raquel Prado, Erin B Quinlan, Steven C Cramer, Hernando Ombao. J Am Stat Assoc 2016
9
33

Detecting differential gene expression with a semiparametric hierarchical mixture method.
Michael A Newton, Amine Noueiry, Deepayan Sarkar, Paul Ahlquist. Biostatistics 2004
296
15

Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior.
Marcel A J van Gerven, Botond Cseke, Floris P de Lange, Tom Heskes. Neuroimage 2010
31
15

Smooth Scalar-on-Image Regression via Spatial Bayesian Variable Selection.
Jeff Goldsmith, Lei Huang, Ciprian M Crainiceanu. J Comput Graph Stat 2014
30
15

Resting-state functional connectivity reflects structural connectivity in the default mode network.
Michael D Greicius, Kaustubh Supekar, Vinod Menon, Robert F Dougherty. Cereb Cortex 2009
15

Bayesian fMRI time series analysis with spatial priors.
William D Penny, Nelson J Trujillo-Barreto, Karl J Friston. Neuroimage 2005
122
15

Brain Imaging Analysis.
F Dubois Bowman. Annu Rev Stat Appl 2014
14
15

Analysis of fMRI data by blind separation into independent spatial components.
M J McKeown, S Makeig, G G Brown, T P Jung, S S Kindermann, A J Bell, T J Sejnowski. Hum Brain Mapp 1998
15

Bayesian spatiotemporal model of fMRI data.
Alicia Quirós, Raquel Montes Diez, Dani Gamerman. Neuroimage 2010
13
15

EEG-fMRI integration for the study of human brain function.
João Jorge, Wietske van der Zwaag, Patrícia Figueiredo. Neuroimage 2014
73
15

Fusing DTI and fMRI data: a survey of methods and applications.
Dajiang Zhu, Tuo Zhang, Xi Jiang, Xintao Hu, Hanbo Chen, Ning Yang, Jinglei Lv, Junwei Han, Lei Guo, Tianming Liu. Neuroimage 2014
69
15

Network modelling methods for FMRI.
Stephen M Smith, Karla L Miller, Gholamreza Salimi-Khorshidi, Matthew Webster, Christian F Beckmann, Thomas E Nichols, Joseph D Ramsey, Mark W Woolrich. Neuroimage 2011
15

On the use of correlation as a measure of network connectivity.
Andrew Zalesky, Alex Fornito, Ed Bullmore. Neuroimage 2012
251
15


Bayesian inference in FMRI.
Mark W Woolrich. Neuroimage 2012
29
15

Inferring functional interaction and transition patterns via dynamic Bayesian variable partition models.
Jing Zhang, Xiang Li, Cong Li, Zhichao Lian, Xiu Huang, Guocheng Zhong, Dajiang Zhu, Kaiming Li, Changfeng Jin, Xintao Hu,[...]. Hum Brain Mapp 2014
21
15



Diffusion-based spatial priors for functional magnetic resonance images.
L M Harrison, W Penny, J Daunizeau, K J Friston. Neuroimage 2008
26
15

Analysis of fMRI time-series revisited.
K J Friston, A P Holmes, J B Poline, P J Grasby, S C Williams, R S Frackowiak, R Turner. Neuroimage 1995
15

Posterior probability maps and SPMs.
K J Friston, W Penny. Neuroimage 2003
162
15

Multilevel linear modelling for FMRI group analysis using Bayesian inference.
Mark W Woolrich, Timothy E J Behrens, Christian F Beckmann, Mark Jenkinson, Stephen M Smith. Neuroimage 2004
15

General multilevel linear modeling for group analysis in FMRI.
Christian F Beckmann, Mark Jenkinson, Stephen M Smith. Neuroimage 2003
15

SGPP: spatial Gaussian predictive process models for neuroimaging data.
Jung Won Hyun, Yimei Li, John H Gilmore, Zhaohua Lu, Martin Styner, Hongtu Zhu. Neuroimage 2014
13
15

Function in the human connectome: task-fMRI and individual differences in behavior.
Deanna M Barch, Gregory C Burgess, Michael P Harms, Steven E Petersen, Bradley L Schlaggar, Maurizio Corbetta, Matthew F Glasser, Sandra Curtiss, Sachin Dixit, Cindy Feldt,[...]. Neuroimage 2013
677
15

The minimal preprocessing pipelines for the Human Connectome Project.
Matthew F Glasser, Stamatios N Sotiropoulos, J Anthony Wilson, Timothy S Coalson, Bruce Fischl, Jesper L Andersson, Junqian Xu, Saad Jbabdi, Matthew Webster, Jonathan R Polimeni,[...]. Neuroimage 2013
15

Fast joint detection-estimation of evoked brain activity in event-related FMRI using a variational approach.
Lotfi Chaari, Thomas Vincent, Florence Forbes, Michel Dojat, Philippe Ciuciu. IEEE Trans Med Imaging 2013
21
15

Fast, fully Bayesian spatiotemporal inference for fMRI data.
Donald R Musgrove, John Hughes, Lynn E Eberly. Biostatistics 2016
3
66

Spatially adaptive mixture modeling for analysis of FMRI time series.
Thomas Vincent, Laurent Risser, Philippe Ciuciu. IEEE Trans Med Imaging 2010
39
15


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.