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Maria J. Rosa
Maria J. Rosa
Max Planck - UCL / Computer Science UCL
Verified email at alumni.ucl.ac.uk
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Cited by
Cited by
Year
Comparing families of dynamic causal models
WD Penny, KE Stephan, J Daunizeau, MJ Rosa, KJ Friston, TM Schofield, ...
PLoS computational biology 6 (3), e1000709, 2010
7372010
SPM12 manual
J Ashburner, G Barnes, CC Chen, J Daunizeau, G Flandin, K Friston, ...
Wellcome Trust Centre for Neuroimaging, London, UK 2464 (4), 2014
5062014
PRoNTo: pattern recognition for neuroimaging toolbox
J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ...
Neuroinformatics 11, 319-337, 2013
4562013
PRoNTo: pattern recognition for neuroimaging toolbox
J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ...
Neuroinformatics 11, 319-337, 2013
4562013
PRoNTo: pattern recognition for neuroimaging toolbox
J Schrouff, MJ Rosa, JM Rondina, AF Marquand, C Chu, J Ashburner, ...
Neuroinformatics 11, 319-337, 2013
4562013
Sparse network-based models for patient classification using fMRI
MJ Rosa, L Portugal, T Hahn, AJ Fallgatter, MI Garrido, J Shawe-Taylor, ...
Neuroimage 105, 493-506, 2015
2002015
Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI
Y Koush, MJ Rosa, F Robineau, K Heinen, SW Rieger, N Weiskopf, ...
Neuroimage 81, 422-430, 2013
1662013
EEG-fMRI integration: a critical review of biophysical modeling and data analysis approaches
MJ Rosa, J Daunizeau, KJ Friston
Journal of integrative neuroscience 9 (04), 453-476, 2010
1472010
Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI
MJ Rosa, J Kilner, F Blankenburg, O Josephs, W Penny
Neuroimage 49 (2), 1496-1509, 2010
1252010
Post-hoc selection of dynamic causal models
MJ Rosa, K Friston, W Penny
Journal of neuroscience methods 208 (1), 66-78, 2012
952012
Time scales of representation in the human brain: Weighing past information to predict future events
LM Harrison, S Bestmann, MJ Rosa, W Penny, GGR Green
Fontiers in Human Neuroscience 5, 37, 2011
842011
Bayesian model selection maps for group studies
MJ Rosa, S Bestmann, L Harrison, W Penny
Neuroimage 49 (1), 217-224, 2010
802010
Classification and characterisation of brain network changes in chronic back pain: A multicenter study
H Mano, G Kotecha, K Leibnitz, T Matsubara, C Sprenger, A Nakae, ...
Wellcome open research 3, 2018
792018
Decoding the matrix: benefits and limitations of applying machine learning algorithms to pain neuroimaging
MJ Rosa, B Seymour
Pain 155 (5), 864-867, 2014
662014
Embedding anatomical or functional knowledge in whole-brain multiple kernel learning models
J Schrouff, JM Monteiro, L Portugal, MJ Rosa, C Phillips, ...
Neuroinformatics 16, 117-143, 2018
642018
Associations between polygenic risk scores for four psychiatric illnesses and brain structure using multivariate pattern recognition
S Ranlund, MJ Rosa, S de Jong, JH Cole, M Kyriakopoulos, CHY Fu, ...
NeuroImage: Clinical 20, 1026-1036, 2018
492018
The role of the subgenual anterior cingulate cortex in dorsomedial prefrontal–amygdala neural circuitry during positive‐social emotion regulation
F Scharnowski, AA Nicholson, S Pichon, MJ Rosa, G Rey, SB Eickhoff, ...
Human brain mapping 41 (11), 3100-3118, 2020
482020
Auditory prediction errors as individual biomarkers of schizophrenia
JA Taylor, N Matthews, PT Michie, MJ Rosa, MI Garrido
NeuroImage: Clinical 15, 264-273, 2017
422017
Multiple holdouts with stability: improving the generalizability of machine learning analyses of brain–behavior relationships
A Mihalik, FS Ferreira, M Moutoussis, G Ziegler, RA Adams, MJ Rosa, ...
Biological psychiatry 87 (4), 368-376, 2020
372020
Brain-behaviour modes of covariation in healthy and clinically depressed young people
A Mihalik, FS Ferreira, MJ Rosa, M Moutoussis, G Ziegler, JM Monteiro, ...
Scientific reports 9 (1), 11536, 2019
372019
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Articles 1–20