Structure-function relationships in the context of reinforcement-related learning: a combined diffusion tensor imaging–functional magnetic resonance imaging study

[1]  Gerd Wagner,et al.  Altered activation in association with reward-related trial-and-error learning in patients with schizophrenia , 2010, NeuroImage.

[2]  C. Lebel,et al.  Lateralization of the arcuate fasciculus from childhood to adulthood and its relation to cognitive abilities in children , 2009, Human brain mapping.

[3]  S. Zysset,et al.  Dopaminergic modulation of brain systems subserving decision making under uncertainty: A study with fMRI and methylphenidate challenge , 2009, Synapse.

[4]  A. Pfefferbaum,et al.  Problem solving, working memory, and motor correlates of association and commissural fiber bundles in normal aging: A quantitative fiber tracking study , 2009, NeuroImage.

[5]  Heinrich Sauer,et al.  The neural correlates of reward-related trial-and-error learning: an fMRI study with a probabilistic learning task. , 2008, Learning & memory.

[6]  Lawrence R. Frank,et al.  Microstructural integrity of the corpus callosum linked with neuropsychological performance in adolescents , 2008, Brain and Cognition.

[7]  Y. Niv,et al.  Dialogues on prediction errors , 2008, Trends in Cognitive Sciences.

[8]  Brian T. Gold,et al.  Speed of lexical decision correlates with diffusion anisotropy in left parietal and frontal white matter: Evidence from diffusion tensor imaging , 2007, Neuropsychologia.

[9]  Bertrand Audoin,et al.  Structure of WM bundles constituting the working memory system in early multiple sclerosis: A quantitative DTI tractography study , 2007, NeuroImage.

[10]  C. Pozzilli,et al.  Effect of corpus callosum damage on ipsilateral motor activation in patients with multiple sclerosis: A functional and anatomical study , 2007, Human brain mapping.

[11]  D. Pandya,et al.  Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography. , 2007, Brain : a journal of neurology.

[12]  P. Matthews,et al.  White matter abnormalities and brain activation in schizophrenia: A combined DTI and fMRI study , 2007, Schizophrenia Research.

[13]  Heinrich Sauer,et al.  Temporal changes in neural activation during practice of information retrieval from short-term memory: An fMRI study , 2006, Brain Research.

[14]  Daniel Rueckert,et al.  Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.

[15]  P. Basser,et al.  A model for diffusion in white matter in the brain. , 2005, Biophysical journal.

[16]  Jong Hoon Lee,et al.  Axial asymmetry of water diffusion in brain white matter , 2005, Magnetic resonance in medicine.

[17]  D. Salat,et al.  Choice reaction time performance correlates with diffusion anisotropy in white matter pathways supporting visuospatial attention. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[18]  S. Wakana,et al.  MRI Atlas of Human White Matter , 2005 .

[19]  S. Inati,et al.  An fMRI study of reward-related probability learning , 2005, NeuroImage.

[20]  Mark W. Woolrich,et al.  Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.

[21]  Scott A. Huettel,et al.  Diffusion tensor imaging of adult age differences in cerebral white matter: relation to response time , 2004, NeuroImage.

[22]  D. Yves von Cramon,et al.  Predicting events of varying probability: uncertainty investigated by fMRI , 2003, NeuroImage.

[23]  Karl J. Friston,et al.  Temporal Difference Models and Reward-Related Learning in the Human Brain , 2003, Neuron.

[24]  Samuel M. McClure,et al.  Temporal Prediction Errors in a Passive Learning Task Activate Human Striatum , 2003, Neuron.

[25]  W. Schultz,et al.  Discrete Coding of Reward Probability and Uncertainty by Dopamine Neurons , 2003, Science.

[26]  Gareth J. Barker,et al.  A study of the mechanisms of normal-appearing white matter damage in multiple sclerosis using diffusion tensor imaging , 2003, Journal of Neurology.

[27]  C. Beaulieu,et al.  The basis of anisotropic water diffusion in the nervous system – a technical review , 2002, NMR in biomedicine.

[28]  P. Montague,et al.  Activity in human ventral striatum locked to errors of reward prediction , 2002, Nature Neuroscience.

[29]  Nick F. Ramsey,et al.  Functional Anatomical Correlates of Controlled and Automatic Processing , 2001, Journal of Cognitive Neuroscience.

[30]  R. Poldrack,et al.  Microstructure of Temporo-Parietal White Matter as a Basis for Reading Ability Evidence from Diffusion Tensor Magnetic Resonance Imaging , 2000, Neuron.

[31]  Peter Dayan,et al.  A Neural Substrate of Prediction and Reward , 1997, Science.

[32]  F. Aboitiz,et al.  Age-related changes in fibre composition of the human corpus callosum: sex differences. , 1996, Neuroreport.

[33]  D. Pandya,et al.  The topographical distribution of interhemispheric projections in the corpus callosum of the rhesus monkey. , 1971, Brain research.

[34]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[35]  R. Kikinis,et al.  A review of diffusion tensor imaging studies in schizophrenia. , 2007, Journal of psychiatric research.

[36]  Bruno A. Olshausen,et al.  Book Review , 2003, Journal of Cognitive Neuroscience.

[37]  M S Buchsbaum,et al.  Regional and global changes in cerebral diffusion with normal aging. , 2001, AJNR. American journal of neuroradiology.

[38]  Peter Dayan,et al.  Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems , 2001 .

[39]  R. Cabeza,et al.  Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies , 2000, Journal of Cognitive Neuroscience.

[40]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.