Kristoffer Hougaard Madsen

Cai, X-L., Xie, D-J., Madsen, K. H., Wang, Y-M., Bögemann, S. A., Cheung, E. F. C., Møller, A. & Chan, R. C. K. Generalizability of machine learning for classification of schizophrenia based on resting-state functional MRI data. Human Brain Mapping. 41, 1, p. 172-184, 2020.
| WebSearch |

Wang, Y-M., Yang, Z-Y., Cai, X-L., Zhou, H-Y., Zhang, R-T., Yang, H-X., Liang, Y-S., Zhu, X-Z., Madsen, K. H., Sørensen, T. A., Møller, A., Wang, Z., Cheung, E. F. C. & Chan, R. C. K.
Identifying Schizo-Obsessive Comorbidity by Tract-Based Spatial Statistics and Probabilistic Tractography. Schizophrenia Bulletin. p. 1-12. 2020.
| WebSearch |

Dogonowski, A. M., Andersen, K. W., Sellebjerg, F., Schreiber, K., Madsen, K. H. & Siebner, H. R.
Functional neuroimaging of recovery from motor conversion disorder: A case report.
NeuroImage. 190, p. 269-274, 2019.
| WebSearch |

Hansen, S. T., Hemakom, A., Gylling Safeldt, M., Krohne, L. K., Madsen, K. H., Siebner, H. R., Mandic, D. P. & Hansen, L. K. Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition. Computational Intelligence and Neuroscience. 2019, p. 1-15, 5618303. 2019.
| WebSearch |

Karabanov, A. N., Irmen, F., Madsen, K. H., Haagensen, B. N., Schulze, S., Bisgaard, T. & Siebner, H. R. Getting to grips with endoscopy - Learning endoscopic surgical skills induces bi-hemispheric plasticity of the grasping network. NeuroImage. 189, p. 32-44, 2019.
| WebSearch |

Krohne, L. G., Wang, Y., Hinrich, J. L., Moerup, M., Chan, R. C. K. & Madsen, K. H.
Classification of social anhedonia using temporal and spatial network features from a social cognition fMRI task. Human Brain Mapping. 40, 17, p. 4965-4981, 2019.
| WebSearch |

Madsen, K. H., Karabanov, A. N., Krohne, L. G., Safeldt, M. G., Tomasevic, L. & Siebner, H. R.
No trace of phase: Corticomotor excitability is not tuned by phase of pericentral mu-rhythm.
Brain Stimulation. 12, 5, p. 1261-1270, 2019.
| WebSearch |

Puonti, O., Saturnino, G. B., Madsen, K. H. & Thielscher, A.
Value and limitations of intracranial recordings for validating electric field modeling for transcranial brain stimulation. NeuroImage. 208, p. 1-14, 116431. 2019.
| WebSearch |

Saturnino, G. B., Madsen, K. H. & Thielscher, A.
Electric field simulations for transcranial brain stimulation using FEM: an efficient implementation and error analysis.
Journal of Neural Engineering. 16, 6, 27 p., 066032. 2019.
| WebSearch |

Saturnino, G. B., Siebner, H. R., Thielscher, A. & Madsen, K. H.
Accessibility of cortical regions to focal TES: Dependence on spatial position, safety, and practical constraints.
NeuroImage. 203, p. 1-17, 116183. 2019.
| WebSearch |

Saturnino, G. B., Thielscher, A., Madsen, K. H., Knösche, T. R. & Weise, K.
A principled approach to conductivity uncertainty analysis in electric field calculations.
NeuroImage. 188, p. 821-834, 2019.
| WebSearch |

Wang, Y-M., Cai, X-L., Zhang, R-T., Wang, Y., Madsen, K. H., Sørensen, T. A., Møller, A., Cheung, E. F. C. & Chan, R. C. K. Searchlight classification based on Amplitude of Low Frequency Fluctuation and functional connectivity in individuals with obsessive-compulsive symptoms.
Cognitive neuropsychiatry. 24, 5, p. 322-334, 2019.
| WebSearch |

Nielsen, J. D., Madsen, K. H., Puonti, O., Siebner, H. R., Bauer, C., Madsen, C. G., Saturnino, G. B. & Thielscher, A.
Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art.
NeuroImage. 2018.

Madsen, K. H., Krohne, L. G., Cai, X-L., Wang, Y. & Chan, R. C. K.
Perspectives on Machine Learning for Classification of Schizotypy Using fMRI Data.
Schizophrenia Bulletin. 2018.

Macoveanu, J., Baaré, W. F. C., Madsen, K. H., Kessing, L. V., Siebner, H. R. & Vinberg, M.
Risk for affective disorders is associated with greater prefrontal gray matter volumes: A prospective longitudinal study.
NeuroImage: Clinical. p. 786-793. 2018.

Dogonowski, A. M., Andersen, K. W., Sellebjerg, F., Schreiber, K., Madsen, K. H. & Siebner, H. R.
Functional neuroimaging of recovery from motor conversion disorder: A case report.
NeuroImage. 2018.

Nielsen, S. F. V., Schmidt, M. N., Madsen, K. H. & Mørup, M.
Predictive assessment of models for dynamic functional connectivity.
NeuroImage. 171 2018.

Hjortkjær, J., Kassuba, T., Madsen, K. H., Skov, M. & Siebner, H. R.
Task-Modulated Cortical Representations of Natural Sound Source Categories.
Cerebral Cortex. 28, 1, p. 295-306, 2018.

Meder, D., Kolling, N., Verhagen, L., Wittmann, M. K., Scholl, J., Madsen, K. H., Hulme, O. J., Behrens, T. E. J. & Rushworth, M. F. S.
Simultaneous Representation of a Spectrum of Dynamically Changing Value Estimates during Decision Making. 2017

Meder, D., Kolling, N., Verhagen, L., Wittmann, M. K., Madsen, K. H., Hulme, O. J., Behrens, T. E. J., Siebner, H. R. & Rushworth, M. F.
Simultaneous Representation of a Spectrum of Dynamically Changing Value Estimates.
2017.

Laustsen, M., Andersen, M., Madsen, K. H. & Hanson, L. G.
Gradient distortions in EEG provide motion tracking during simultaneous EEG-fMRI.
2017.

Baruël Johansen, L., Madsen, K. S., Andersen, K. W., Madsen, K. H., Siebner, H. R. & Baaré, W. F. C.
Reduced orbitofrontal functional network centrality characterizes high neuroticism across childhood and adolescence.
2017.

Andersen, K. W., Madsen, K. H. & Siebner, H. R.
Rock-paper-scissors - Hand gestures show multivariate pattern representations in the human brain.
2017.

Vilamala, A., Madsen, K. H. & Hansen, L. K.
Adaptive Smoothing in fMRI Data Processing Neural Networks.
2017.

Vilamala, A., Madsen, K. H. & Hansen, L. K.
Neural Networks for Interpretable Analysis of EEG Sleep Stage Scoring.
2017.

Røge, R., Sandø Ambrosen, K. M., Albers, K. J., Eriksen, C. T., Liptrot, M. G., Schmidt, M. N., Madsen, K. H. & Mørup, M.
Whole Brain Functional Connectivity Predicted by Indirect Structural Connections.
2017.

Nielsen, S. F. V., Madsen, K. H., Schmidt, M. N. & Mørup, M.
Functional Connectivity using a Wishart Mixture Model.
2017.

Hinrich, J. L., Nielsen, S. F. V., Riis, N. A. B., Eriksen, C. T., Frøsig, J., Kristensen, M. D. F., Schmidt, M. N., Madsen, K. H. & Mørup, M.
Scalable group level probabilistic sparse factor analysis.
2017.

Saturnino, G. B., Madsen, K. H., Siebner, H. R. & Thielscher, A.
How to target inter-regional phase synchronization with dual-site Transcranial Alternating Current Stimulation.
NeuroImage. 163, p. 68-80, 2017.

Røge, R. E., Madsen, K. H., Schmidt, M. N. & Mørup, M.
Infinite von Mises-Fisher Mixture Modeling of Whole Brain fMRI Data.
Neural Computation. 29, 10, p. 2712-2741, 2017.

Ruiz, V. C., Andreasen , S. H., Petersen, T. H., Larsen, K. B., Madsen, K., Andersen, K. W., Akopian, I., Madsen, K. H., Hansen, C. P., Poulsen, I., Kammersgaard, L. P. & Siebner, H. R.
Alterations in the brain's connectome during recovery from severe traumatic brain injury: protocol for a longitudinal prospective study.
B M J Open. 7, 6, s. e016286 2017.

Nielsen, J. D., Madsen, K. H., Wang, Z., Liu, Z., Friston, K. J. & Zhou, Y.
Working Memory Modulation of Frontoparietal Network Connectivity in First-Episode Schizophrenia.
Cerebral Cortex. 27, 7, p. 3832-3841, 2017.

Meder, D., Kolling, N., Verhagen, L., Wittmann, M. K., Scholl, J., Madsen, K. H., Hulme, O. J., Behrens, T. E. J. & Rushworth, M. F. S.
Simultaneous representation of a spectrum of dynamically changing value estimates during decision making.
Nature Communications. 8, 1942 2017.

Madsen, K. H., Churchill, N. W. & Mørup, M.
Quantifying functional connectivity in multi-subject fMRI data using component models.
Human brain mapping. 38, 2, p. 882-899, 2017.

Havsteen, I., Ohlhues, A., Madsen, K. H., Nybing, J. D., Christensen, H. K. & Christensen, A.
Are Movement Artifacts in Magnetic Resonance Imaging a Real Problem?-A Narrative Review.
Frontiers in Neurology. 8, p. 1-8, 232 2017.

Zdyb, F. O. & Madsen, K. H.
Machine Learning for Analysis of EEG Signals. 59 p., 2016.

Rahbek, S. & Madsen, K. H.
Machine Learning for Prediction of de novo Acquisition of Laparoscopic Surgical Skills. 129 p., 2016.

Naaby, O. & Madsen, K. H.
Multimodal Characterisation of Peripheral Nerve Stimulation. 76 p., 2016.

Krohne, L. K. & Madsen, K. H.
Functional Connectivity during Theory of Mind and Empathy tasks, using Machine Learning in Subjects with Schizotypy. 131 p., 2016.

Jørgensen, P. J. H. & Madsen, K. H.
Probabilistic PARAFAC2 Applied to Chemometrics. 72 p., 2016.

Hinrich, J. L. & Madsen, K. H.
Large-Scale Latent Variable Modelling of Neuroimaging Data. 112 p., 2016.

Engberg, A. & Madsen, K. H.
Multivariate Modeling for Characterization of Variability in Multi-Subject fMRI Data.93 p., 2016.

Brunes, P. T. & Madsen, K. H.
Brain state informed peripheral nerve stimulation: a closed-loop application. 55 p., 2016.

Svolgaard, O. M. R., Andersen, K. W., Bauer, C., Madsen, K. H., Iversen, P., Blinkenberg, M. B., Sellebjerg, F. T. & Siebner, H. R.
Motor fatigue scores correlate with task-related activity in cerebellum during a non-fatiguing precision grip task: a functional MRI study. 2016.

Safeldt, M. G., Tomasevic, L., Karabanov, A., Siebner, H. R. & Madsen, K. H.
Towards Brain-State Dependent Transcranial Magnetic Stimulation: targeting the phase of oscillatory neocortical activity with singe-pulse TMS. 2 p., 2016.

Safeldt, M. G., Karabanov, A., Tomasevic, L., Siebner, H. R. & Madsen, K. H.
Evaluation of phase estimator performances on simulated EEG for phase dependent TMS purposes. 2016.

Meder, D., Kolling, N., Verhagen, L., Wittmann, M. K., Madsen, K. H., Hulme, O. J., Behrens, T. E. J. & Rushworth, M. F.
Simultaneous and Dynamic Representations of Learning Rates in the Human Brain. 1 p., 2016.

McWalter, R. I., Hjortkjær, J., Siebner, H. R., Dau, T. & Madsen, K. H.
Sensitivity to sound texture statistics in auditory cortex. 1 p., 2016.

Madsen, K. H., Thielscher, A., Saturnino, G. B. & Duemose Nielsen, J.
Computationally Efficient and Geometrically Accurate Head Models for EEG Based on FEM. 2016.

MacWalter, R. I., Hjortkjær, J., Siebner, H. R., Dau, T. & Madsen, K. H.
Cortical sensitivity to auditory textures. 1 p., 2016.

Karabanov, A., Irmen, F., Madsen, K. H., Bisgaard, T. & Siebner, H. R.
Functional plasticity during de novo acquisition of laparoscopic surgical skills. 1 p., 2016.

Hulme, O. J., Baladi Nejad, A., Haren, T., Henningsson, S., Madsen, K. H. & Siebner, H. R.
Psycho-Psychophysics: The Superior Temporal Sulcus and the Reflexive Decoding of Pain. 2016.

Hinrich, J. L., Nielsen, S. F. V., Madsen, K. H. & Mørup, M.
Variational group-PCA for intrinsic dimensionality determination in fMRI data. 2016.

Engberg, A., Andersen, K. W., Mørup, M. & Madsen, K. H.
Independent Vector Analysis for Capturing Common Components in fMRI Group Analysis. 4 p., 2016.

Duemose Nielsen, J., Madsen, K. H., Wang, Z., Liu, Z. & Zhou, Y.
Working Memory Modulation of Frontoparietal Network Connectivity in First-Episode Schizophrenia. 2016.

Brunes, P. T., Tomasevic, L., Siebner, H. R., Schmidt, M. N. & Madsen, K. H.
Continuous Phase Tracking of Cortical Oscillatory Activity with Scalp EEG. 2016.

Bicalho Saturnino, G., Siebner, H. R., Madsen, K. H. & Thielscher, A.
Feasibility of focused multichannel optimization of transcranial current stimulation.1 p., 2016.

Bauer, C., Andersen, K. W., Svolgaard, O. M. R., Sellebjerg, F. T., Madsen, K. S., Madsen, K. H., Dyrby, T. B. & Siebner, H. R.
Microstructural white matter correlates of motor fatigue in multiple sclerosis: a diffusion weighted imaging study. 2016.

Bauer, C., Andersen, K. W., Svolgaard, O. M. R., Madsen, K. H., Dyrby, T. B., Sellebjerg, F. T. & Siebner, H. R.
Is there a regional structural correlate of motor fatigue in multiple sclerosis?: a Magnetic Resonance Imaging study. 2016.

Baruël Johansen, L., Madsen, K. S., Andersen, K. W., Madsen, K. H., Siebner, H. R. & Baaré, W. F. C.
Reduced global efficiency and orbitofrontal centrality of the functional brain network characterizes high neuroticism in adolescence. 2016

Andersen, M., Madsen, K. H. & Hanson, L. G.: Prospective motion correction for MRI using EEG-equipment. 1 p., 2016.

Andersen, K. W., Madsen, K. H., Dyrby, T. B. & Siebner, H. R.: Multi Voxel Pattern Analysis (MVPA) classification reveals distributed neural presentations of specific finger movement sequences in the human striatum: a task-based functional MRI study. 2016.

Andersen, K. W., Madsen, K. H., Dyrby, T. B. & Siebner, H. R.: Shift of finger sequence representations in the human basal ganglia during motor learning. 2016.

Meder, D., Haagensen, B. N., Hulme, O., Morville, T., Gelskov, S., Herz, D. M., Diomsina, B., Christensen, M. S., Madsen, K. H. & Siebner, H. R.: Tuning the Brake While Raising the Stake: Network Dynamics during Sequential Decision-Making. Journal of Neuroscience. 36, 19, p. 5417-26, 2016.

Meder, D., Madsen, K. H., Hulme, O. & Siebner, H. R.: Chasing probabilities - Signaling negative and positive prediction errors across domains.
NeuroImage. 134, p. 180, - 191 12 p., 2016.

Kouider, S., Barbot, A., Madsen, K. H., Lehéricy, S. & Summerfield, C.: Task relevance differentially shapes ventral visual stream sensitivity to visible and invisible faces. Neuroscience of Consciousness. 2016, 1, s. niw021 9 p., 2016.

Churchill, N. W., Madsen, K. H. & Mørup, M.: The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI. Neural Computation. 28, 10, p. 2250-90, 2016.

Hinrich, J. L., Bardenfleth, S. E., Røge, R. E., Churchill, N. W., Madsen, K. H. & Mørup, M.: Archetypal Analysis for Modeling Multisubject fMRI Data. IEEE Journal of Selected Topics in Signal Processing. 10, 7, p. 1160-1171, 2016.

Herz DM, Haagensen BN, Nielsen SH, Madsen KH, Løkkegaard A, Siebner HR (2016): Resting-state connectivity predicts levodopa-induced dyskinesias in Parkinson’s disease. Mov Disord.

Gelskov S V, Madsen KH, Ramsøy TZ, Siebner HR (2016): Aberrant neural signatures of decision-making: Pathological gamblers display cortico-striatal hypersensitivity to extreme gambles. Neuroimage 128:342–52.

Henningsson S, Madsen KH, Pinborg A, Heede M, Knudsen GM, Siebner HR, Frokjaer VG (2015): Role of emotional processing in depressive responses to sex-hormone manipulation: a pharmacological fMRI study. Transl Psychiatry 5

Gelskov S V, Henningsson S, Madsen KH, Siebner HR, Ramsøy TZ (2015): Amygdala signals subjective appetitiveness and aversiveness of mixed gambles. Cortex 66:81–90. 

Herz DM, Haagensen BN, Christensen MS, Madsen KH, Rowe JB, Løkkegaard A, Siebner HR (2015): Abnormal dopaminergic modulation of striato-cortical networks underlies levodopa-induced dyskinesias in humans. Brain 138:1658–66.

Andersen M, Hanson LG, Madsen KH, Wezel J, Boer V, van der Velden T, van Osch MJP, Klomp D, Webb AG, Versluis MJ (2015): Measuring motion-induced B0 -fluctuations in the brain using field probes. Magn Reson Med.

Dogonowski A-M, Blinkenberg M, Paulson OB, Sellebjerg F, Sørensen PS, Siebner HR, Madsen KH (2015): Recovery from an acute relapse is associated with changes in motor resting-state connectivity in multiple sclerosis. J Neurol Neurosurg Psychiatry. 

K.H. Madsen, L. Ewald, H.S. Siebner, A. Thielscher. “Transcranial magnetic stimulation: An automated procedure to obtain coil-specific models for field calculations” Brain Stimulation 07/2015; doi: 10.1016/j.brs.2015.07.035

M. Andersen, L.G. Hanson, K.H. Madsen, J. Wezel, V. Boer, T. van der Velden, M.J.P. van Osch, A.G. Webb, M.J. Versluis. “Measuring motion-induced B0 -fluctuations in the brain using field probes” Magnetic Resonance in Medicine 06/2015; doi: 10.1002/mrm.25802

D.M. Herz, B.N. Haagensen, M.S. Christensen, K.H. Madsen, J.B. Rowe, A. Løkkegaard,H.R. Siebner. “Abnormal dopaminergic modulation of striato-cortical networks underlies levodopa-induced dyskinesias in humans”. Brain 2015; doi: 10.1093/brain/awv096.

S.V. Gelskov, S. Henningsson, K.H. Madsen, H.R. Siebner,T.Z. Ramsøy. “Amygdala signals subjective appetitiveness and aversiveness of mixed gambles”. Cortex 2015; doi: 0.1016/j.cortex.2015.02.016.

D. M. Herz, B. N. Haagensen, M. S. Christensen, K. H. Madsen, J. B. Rowe, A. Løkkegaard, and H. R. Siebner, “The acute brain response to levodopa heralds dyskinesias in Parkinson disease”, Annals of Neurology, vol. 75, no. 6, pp. 829–36, 2014.

H. R. Laursen, H. R. Siebner, T. Haren, K. H. Madsen, R. Grønlund, O. Hulme, S. Henningsson. “Variation in the oxytocin receptor gene is associated with behavioral and neural correlates of empathic accuracy”. Frontiers in Behavioral Neuroscience. 2014, doi: 10.3389/fnbeh.2014.00423.

D. M. Herz, M.S. Christensen, N. Bruggemann, et al. “Motivational tuning of fronto-subthalamic connectivity facilitates control of action impulses.,” Journal of Neuroscience, 34(9):3210–7, 2014.

K. W. Andersen, K. H. Madsen, H. R. Siebner, M. N. Schmidt, M. Mørup, and L. K. Hansen, “Non-parametric Bayesian graph models reveal community structure in resting state fMRI.” Neuroimage, vol. 100C, pp. 301–315, 2014.

L. Gagnon, M. Vestergaard, K. H. Madsen, H. G. Karstensen, H. Siebner, N. Tommerup, R. Kupers, and M. Ptito, “Neural correlates of taste perception in congenital olfactory impairment.” Neuropsychologia, vol. 62C, pp. 297–305, 2014.

A.-M. Dogonowski, K. W. Andersen, K. H. Madsen, P. S. Sørensen, O. B. Paulson, M. Blinkenberg, and H. R. Siebner, “Multiple sclerosis impairs regional functional connectivity in the cerebellum.” NeuroImage Clinical, vol. 4, pp. 130–8, 2013.

I. Havsteen , K. H. Madsen, H. Christensen, A. Christensen, H. R. Siebner. “Diagnostic approach to functional recovery: functional magnetic resonance imaging after stroke” Frontiers of neurology and neuroscience, 32:9–25, 2013.

B. V Broberg, K. H. Madsen, N. Plath, C. K. Olsen, B. Y. Glenthøj, O. B. Paulson, B. Bjelke, and L. V Søgaard, “A schizophrenia rat model induced by early postnatal phencyclidine treatment and characterized by Magnetic Resonance Imaging” Behavioural brain research, vol. 250C, pp. 1–8, May 2013

J. P. M. van der Vegt, O. J. Hulme, S. Zittel, K. H. Madsen, M. M. Weiss, C. Buhmann, B. R. Bloem, A. Münchau, and H. R. Siebner, “Attenuated neural response to gamble outcomes in drug-naive patients with Parkinson’s disease” Brain 2013, vol. 136, no. Pt 4, pp. 1192–203, 2013.

A. B. Nejad, K. H. Madsen, B. H. Ebdrup, H. R. Siebner, H. Rasmussen, B. Aggernæs, B. Y. Glenthøj, and W. F. C. Baaré, “Neural markers of negative symptom outcomes in distributed working memory brain activity of antipsychotic-naive schizophrenia patients” The international journal of neuropsychopharmacology, pp. 1–10, Nov. 2012.

A.-M. Dogonowski, H. R. Siebner, P. S. Sørensen, X. Wu, B. Biswal, O. B. Paulson, T. B. Dyrby, A. Skimminge, M. Blinkenberg, and K. H. Madsen, “Expanded functional coupling of subcortical nuclei with the motor resting-state network in multiple sclerosis” Multiple sclerosis, Sep. 2012.

A.-M. Dogonowski, H. R. Siebner, P. Soelberg Sørensen, O. B. Paulson, T. B. Dyrby, M. Blinkenberg, and K. H. Madsen, “Resting-state connectivity of pre-motor cortex reflects disability in multiple sclerosis” Acta Neurol. Scand., 2013.

P. M. Rasmussen, T. J. Abrahamsen, K. H. Madsen, and L. K. Hansen, “Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation” NeuroImage, vol. 60, no. 3, pp. 1807–18, Apr. 2012.

A. R. Lou, K. H. Madsen, H. O. Julian, P. B. Toft, T. W. Kjaer, O. B. Paulson, J. U. Prause, and H. R. Siebner, “Postoperative increase in grey matter volume in visual cortex after unilateral cataract surgery” Acta ophthalmologica, vol. i, pp. 1–8, Nov. 2011.

P. M. Rasmussen, L. K. Hansen, K. H. Madsen, N. W. Churchill, and S. C. Strother, “Model sparsity and brain pattern interpretation of classification models in neuroimaging” Pattern Recognition, 2011.

A. R. Lou, K. H. Madsen, O. B. Paulson, H. O. Julian, J. U. Prause, H. R. Siebner, and T. W. Kjaer, “Monocular Visual Deprivation Suppresses Excitability in Adult Human Visual Cortex.” Cerebral cortex, no. December, pp. 2876–2882, Apr. 2011.

P. M. Rasmussen, K. H. Madsen, T. E. Lund, and L. K. Hansen, “Visualization of nonlinear kernel models in neuroimaging by sensitivity maps” NeuroImage, vol. 55, no. 3, pp. 1120–31, Apr. 2011.

B. B. Biswal, M. Mennes, X.-N. Zuo et al., “Toward discovery science of human brain function” Proceedings of the National Academy of Sciences of the United States of America, vol. 107, no. 10, pp. 4734–9, Mar. 2010.

R. Kupers, D. R. Chebat, K. H. Madsen, O. B. Paulson, and M. Ptito, “Neural correlates of virtual route recognition in congenital blindness” Proceedings of the National Academy of Sciences of the United States of America, vol. 107, no. 28, pp. 12716–21, Jul. 2010.

K. Korsholm, K. H. Madsen, J. L. Frederiksen, J. B. Rowe, and T. E. Lund, “Cortical neuroplasticity in patients recovering from acute optic neuritis” NeuroImage, vol. 42, no. 2, pp. 836–44, Aug. 2008.

D. J. Jacobsen, L. K. Hansen, and K. H. Madsen, “Bayesian model comparison in nonlinear BOLD fMRI hemodynamics” Neural computation, vol. 20, no. 3, pp. 738–55, Mar. 2008.

M. Mørup, L. K. Hansen, S. M. Arnfred, L.-H. Lim, and K. H. Madsen, “Shift-invariant multilinear decomposition of neuroimaging data” NeuroImage, vol. 42, no. 4, pp. 1439–50, Oct. 2008.

K. Korsholm, K. H. Madsen, J. L. Frederiksen, A. Skimminge, and T. E. Lund, “Recovery from optic neuritis: an ROI-based analysis of LGN and visual cortical areas” Brain: a journal of neurology, vol. 130, no. Pt 5, pp. 1244–53, May 2007.

K. Nielsen, K. H. Madsen, J. L. Frederiksen, A. M. Leffers, and T. E. Lund, “Functional magnetic resonance imaging corresponds to Humphrey perimetry in a patient with pituitary adenoma” Acta ophthalmologica Scandinavica, vol. 84, no. 2, pp. 267–8, Apr. 2006.

F. A. Nielsen, M. S. Christensen, K. H. Madsen, T. E. Lund, and L. K. Hansen, “fMRI neuroinformatics” IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society, vol. 25, no. 2, pp. 112–9, 2006.

T. E. Lund, K. H. Madsen, K. Sidaros, W.-L. Luo, and T. E. Nichols, “Non-white noise in fMRI: does modelling have an impact?” NeuroImage, vol. 29, no. 1, pp. 54–66, 2006.

A. Larsen, K. H. Madsen, T. E. Lund, and C. Bundesen, “Images of illusory motion in primary visual cortex” Journal of cognitive neuroscience, vol. 18, no. 7, pp. 1174–80, Jul. 2006.

M. S. Christensen, T. Z. Ramsøy, T. E. Lund, K. H. Madsen, and J. B. Rowe, “An fMRI study of the neural correlates of graded visual perception” NeuroImage, vol. 31, no. 4, pp. 1711–25, 2006.