Handbook of Psychophysiology: Elements of Functional Neuroimaging

[1]  C. F. Beckmann,et al.  Tensorial extensions of independent component analysis for multisubject FMRI analysis , 2005, NeuroImage.

[2]  H. Critchley,et al.  Neural Activity Relating to Generation and Representation of Galvanic Skin Conductance Responses: A Functional Magnetic Resonance Imaging Study , 2000, The Journal of Neuroscience.

[3]  Timothy Edward John Behrens,et al.  Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Lars Kai Hansen,et al.  Modeling the hemodynamic response in fMRI using smooth FIR filters , 2000, IEEE Transactions on Medical Imaging.

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

[6]  Allen D. Elster,et al.  Questions & answers in magnetic resonance imaging , 1994 .

[7]  M. Posner,et al.  Localization of cognitive operations in the human brain. , 1988, Science.

[8]  Jeffrey A. Fessler,et al.  Conjugate phase MRI reconstruction with spatially variant sample density correction , 2005, IEEE Transactions on Medical Imaging.

[9]  D. Tank,et al.  Brain magnetic resonance imaging with contrast dependent on blood oxygenation. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Karl J. Friston,et al.  Nonlinear event‐related responses in fMRI , 1998, Magnetic resonance in medicine.

[11]  Karl J. Friston,et al.  Modelling functional integration: a comparison of structural equation and dynamic causal models , 2004, NeuroImage.

[12]  Thomas T. Liu,et al.  Part II: design of experiments , 2022 .

[13]  K. Dedovic,et al.  The Montreal Imaging Stress Task: using functional imaging to investigate the effects of perceiving and processing psychosocial stress in the human brain. , 2005, Journal of psychiatry & neuroscience : JPN.

[14]  R. Buxton,et al.  Modeling the hemodynamic response to brain activation , 2004, NeuroImage.

[15]  Daniel Y. Kimberg,et al.  Empirical analyses of null-hypothesis perfusion FMRI data at 1.5 and 4 T , 2003, NeuroImage.

[16]  N. Logothetis,et al.  Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.

[17]  Karl J. Friston,et al.  Human Brain Function , 1997 .

[18]  D. Noll,et al.  Nonlinear Aspects of the BOLD Response in Functional MRI , 1998, NeuroImage.

[19]  A. Dagher,et al.  Mapping the network for planning: a correlational PET activation study with the Tower of London task. , 1999, Brain : a journal of neurology.

[20]  James Robert Brašić,et al.  Relationships Among Ventral Striatal Dopamine Release, Cortisol Secretion, and Subjective Responses to Amphetamine , 2005, Neuropsychopharmacology.

[21]  G. Pawlik,et al.  Quantitative capillary topography and blood flow in the cerebral cortex of cats: an in vivo microscopic study , 1981, Brain Research.

[22]  T. Sejnowski,et al.  Single-Trial Variability in Event-Related BOLD Signals , 2002, NeuroImage.

[23]  M. D’Esposito,et al.  Empirical Analyses of BOLD fMRI Statistics , 1997, NeuroImage.

[24]  Karl J. Friston,et al.  Mixed-effects and fMRI studies , 2005, NeuroImage.

[25]  Matthew C. Keller,et al.  Increased sensitivity in neuroimaging analyses using robust regression , 2005, NeuroImage.

[26]  T. Paus,et al.  Regional differences in the effects of task difficulty and motor output on blood flow response in the human anterior cingulate cortex: a review of 107 PET activation studies , 1998, Neuroreport.

[27]  R. Kikinis,et al.  Magnetic resonance imaging shows orientation and asymmetry of white matter fiber tracts , 1998, Brain Research.

[28]  Stephen M. Smith,et al.  Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.

[29]  R. Constable,et al.  Composite image formation in z‐shimmed functional MR imaging , 1999, Magnetic resonance in medicine.

[30]  Yaakov Stern,et al.  A New Approach to Spatial Covariance Modeling of Functional Brain Imaging Data: Ordinal Trend Analysis , 2005, Neural Computation.

[31]  D. Brooks,et al.  Evidence for striatal dopamine release during a video game , 1998, Nature.

[32]  M. Sandler Diagnostic Nuclear Medicine , 2002 .

[33]  Thomas E. Nichols,et al.  Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.

[34]  J. -B. Poline,et al.  Estimating the Delay of the fMRI Response , 2002, NeuroImage.

[35]  D. S. Williams,et al.  Magnetic resonance imaging of perfusion using spin inversion of arterial water. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[36]  Thomas E. Nichols,et al.  Optimization of experimental design in fMRI: a general framework using a genetic algorithm , 2003, NeuroImage.

[37]  R G Shulman,et al.  Interpreting functional imaging studies in terms of neurotransmitter cycling. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[38]  S. Sternberg Memory-scanning: mental processes revealed by reaction-time experiments. , 1969, American scientist.

[39]  A. Dale,et al.  Late Onset of Anterior Prefrontal Activity during True and False Recognition: An Event-Related fMRI Study , 1997, NeuroImage.

[40]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[41]  A M Dale,et al.  Event-related functional MRI: past, present, and future. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[42]  Thomas T. Liu,et al.  Efficiency, power, and entropy in event-related FMRI with multiple trial types Part I: theory , 2004, NeuroImage.

[43]  Mark W. Woolrich,et al.  Constrained linear basis sets for HRF modelling using Variational Bayes , 2004, NeuroImage.

[44]  T. Adali,et al.  Ieee Workshop on Machine Learning for Signal Processing Semi-blind Ica of Fmri: a Method for Utilizing Hypothesis-derived Time Courses in a Spatial Ica Analysis , 2022 .

[45]  Guinevere F. Eden,et al.  Multivariate analysis of neuronal interactions in the generalized partial least squares framework: simulations and empirical studies , 2003, NeuroImage.

[46]  R. Buxton,et al.  Implementation of quantitative perfusion imaging techniques for functional brain mapping using pulsed arterial spin labeling , 1997, NMR in biomedicine.

[47]  R. Turner,et al.  Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[48]  R. Buxton,et al.  A Model for the Coupling between Cerebral Blood Flow and Oxygen Metabolism during Neural Stimulation , 1997, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[49]  Douglas C. Noll,et al.  Accounting for nonlinear BOLD effects in fMRI: parameter estimates and a model for prediction in rapid event-related studies , 2005, NeuroImage.

[50]  D. Heeger,et al.  In this issue , 2002, Nature Reviews Drug Discovery.

[51]  S. Petersen,et al.  Characterizing the Hemodynamic Response: Effects of Presentation Rate, Sampling Procedure, and the Possibility of Ordering Brain Activity Based on Relative Timing , 2000, NeuroImage.

[52]  M. Corbetta,et al.  Separating Processes within a Trial in Event-Related Functional MRI II. Analysis , 2001, NeuroImage.

[53]  M. Posner,et al.  Cognitive and emotional influences in anterior cingulate cortex , 2000, Trends in Cognitive Sciences.

[54]  E. Zarahn,et al.  A Reference Effect Approach for Power Analysis in fMRI , 2001, NeuroImage.

[55]  J. Detre,et al.  Reduced Transit-Time Sensitivity in Noninvasive Magnetic Resonance Imaging of Human Cerebral Blood Flow , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[56]  Karl J. Friston,et al.  To Smooth or Not to Smooth? Bias and Efficiency in fMRI Time-Series Analysis , 2000, NeuroImage.

[57]  Tulay Adali,et al.  A method for comparing group fMRI data using independent component analysis: application to visual, motor and visuomotor tasks. , 2004, Magnetic resonance imaging.

[58]  M. D’Esposito,et al.  The Variability of Human, BOLD Hemodynamic Responses , 1998, NeuroImage.

[59]  M. D’Esposito,et al.  Stimulus inversion and the responses of face and object-sensitive cortical areas. , 1999, Neuroreport.

[60]  Mark W. Woolrich,et al.  Multilevel linear modelling for FMRI group analysis using Bayesian inference , 2004, NeuroImage.

[61]  A. Shmuel,et al.  Perfusion‐based high‐resolution functional imaging in the human brain at 7 Tesla , 2002, Magnetic resonance in medicine.

[62]  Eric Zarahn,et al.  Using larger dimensional signal subspaces to increase sensitivity in fMRI time series analyses , 2002, Human brain mapping.

[63]  V. Barnett,et al.  Applied Linear Statistical Models , 1975 .

[64]  A. Dale,et al.  Selective averaging of rapidly presented individual trials using fMRI , 1997, Human brain mapping.

[65]  M. J. Emerson,et al.  The Unity and Diversity of Executive Functions and Their Contributions to Complex “Frontal Lobe” Tasks: A Latent Variable Analysis , 2000, Cognitive Psychology.

[66]  P. Bandettini,et al.  Spatial Heterogeneity of the Nonlinear Dynamics in the FMRI BOLD Response , 2001, NeuroImage.

[67]  G. Crelier,et al.  Investigation of BOLD signal dependence on cerebral blood flow and oxygen consumption: The deoxyhemoglobin dilution model , 1999, Magnetic resonance in medicine.

[68]  R. Buxton,et al.  Detection Power, Estimation Efficiency, and Predictability in Event-Related fMRI , 2001, NeuroImage.

[69]  Thomas E. Nichols,et al.  Controlling the familywise error rate in functional neuroimaging: a comparative review , 2003, Statistical methods in medical research.

[70]  Rainer Goebel,et al.  Mapping directed influence over the brain using Granger causality and fMRI , 2005, NeuroImage.

[71]  Edward E. Smith,et al.  Placebo-Induced Changes in fMRI in the Anticipation and Experience of Pain , 2004, Science.

[72]  J. Pekar,et al.  A method for making group inferences from functional MRI data using independent component analysis , 2001, Human brain mapping.

[73]  Karl J. Friston,et al.  Modelling Geometric Deformations in Epi Time Series , 2022 .

[74]  Jesper Andersson,et al.  Valid conjunction inference with the minimum statistic , 2005, NeuroImage.

[75]  Richard S. J. Frackowiak,et al.  Navigation-related structural change in the hippocampi of taxi drivers. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[76]  Greg J Siegle,et al.  Use of concurrent pupil dilation assessment to inform interpretation and analysis of fMRI data , 2003, NeuroImage.

[77]  Geoffrey M. Boynton,et al.  Efficient Design of Event-Related fMRI Experiments Using M-Sequences , 2002, NeuroImage.

[78]  T. Paus Primate anterior cingulate cortex: Where motor control, drive and cognition interface , 2001, Nature Reviews Neuroscience.

[79]  Keiji Tanaka,et al.  Human Ocular Dominance Columns as Revealed by High-Field Functional Magnetic Resonance Imaging , 2001, Neuron.

[80]  Jennifer C. Britton,et al.  Neural correlates of individual ratings of emotional salience: a trial-related fMRI study , 2004, NeuroImage.

[81]  Karl J. Friston,et al.  Nonlinear Responses in fMRI: The Balloon Model, Volterra Kernels, and Other Hemodynamics , 2000, NeuroImage.

[82]  Yul-Wan Sung,et al.  Functional magnetic resonance imaging , 2004, Scholarpedia.

[83]  Peter Jezzard,et al.  Utilization of an intra‐oral diamagnetic passive shim in functional MRI of the inferior frontal cortex , 2003, Magnetic resonance in medicine.

[84]  D. D. de Quervain,et al.  The Neural Basis of Altruistic Punishment , 2004, Science.

[85]  M. D’Esposito,et al.  The Effect of Normal Aging on the Coupling of Neural Activity to the Bold Hemodynamic Response , 1999, NeuroImage.

[86]  Karl J. Friston,et al.  Classical and Bayesian Inference in Neuroimaging: Applications , 2002, NeuroImage.

[87]  R G Shulman,et al.  In vivo 13C NMR measurements of cerebral glutamine synthesis as evidence for glutamate-glutamine cycling. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[88]  D. Townsend,et al.  The Theory and Practice of 3D PET , 1998, Developments in Nuclear Medicine.

[89]  Jin Fan,et al.  Cognitive and Brain Consequences of Conflict , 2003, NeuroImage.

[90]  Naoki Miura,et al.  A state-space model of the hemodynamic approach: nonlinear filtering of BOLD signals , 2004, NeuroImage.

[91]  A. Dale,et al.  Functional–Anatomic Study of Episodic Retrieval II. Selective Averaging of Event-Related fMRI Trials to Test the Retrieval Success Hypothesis , 1998, NeuroImage.

[92]  Adam Gazzaley,et al.  Measuring functional connectivity during distinct stages of a cognitive task , 2004, NeuroImage.

[93]  P. T. Fox,et al.  Positron emission tomographic studies of the cortical anatomy of single-word processing , 1988, Nature.

[94]  Karl J. Friston,et al.  Variational Bayesian inference for fMRI time series , 2003, NeuroImage.

[95]  R B Buxton,et al.  A theoretical and experimental comparison of continuous and pulsed arterial spin labeling techniques for quantitative perfusion imaging , 1998, Magnetic resonance in medicine.

[96]  T E Lund,et al.  fcMRI—Mapping functional connectivity or correlating cardiac‐induced noise? , 2001, Magnetic resonance in medicine.

[97]  R. Turner,et al.  Characterizing Evoked Hemodynamics with fMRI , 1995, NeuroImage.

[98]  A. Elster,et al.  Patient screening prior to MR imaging: a practical approach synthesized from protocols at 15 U. S. medical centers. , 1994, AJR. American journal of roentgenology.

[99]  Karl J. Friston,et al.  Bayesian fMRI time series analysis with spatial priors , 2005, NeuroImage.

[100]  Donald S. Williams,et al.  Multi‐Slice MRI of Rat Brain Perfusion During Amphetamine Stimulation Using Arterial Spin Labeling , 1995, Magnetic resonance in medicine.

[101]  Karl J. Friston,et al.  The Critical Relationship between the Timing of Stimulus Presentation and Data Acquisition in Blocked Designs with fMRI , 1999, NeuroImage.

[102]  John C. Gore,et al.  ROC Analysis of Statistical Methods Used in Functional MRI: Individual Subjects , 1999, NeuroImage.

[103]  T. Shallice,et al.  Human cingulate cortex and autonomic control: converging neuroimaging and clinical evidence. , 2003, Brain : a journal of neurology.

[104]  N. Kanwisher,et al.  The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception , 1997, The Journal of Neuroscience.

[105]  A. R. McIntosh,et al.  Spatiotemporal analysis of event-related fMRI data using partial least squares , 2004, NeuroImage.

[106]  Thomas E. Nichols,et al.  Diagnosis and exploration of massively univariate neuroimaging models , 2003, NeuroImage.

[107]  K. Uğurbil,et al.  High‐resolution, spin‐echo BOLD, and CBF fMRI at 4 and 7 T , 2002, Magnetic resonance in medicine.

[108]  Thomas E. Nichols,et al.  Non-white noise in fMRI: Does modelling have an impact? , 2006, NeuroImage.

[109]  Tor D Wager,et al.  Neuroimaging studies of shifting attention: a meta-analysis , 2004, NeuroImage.

[110]  Seong-Gi Kim Quantification of relative cerebral blood flow change by flow‐sensitive alternating inversion recovery (FAIR) technique: Application to functional mapping , 1995, Magnetic resonance in medicine.

[111]  Ravi S. Menon,et al.  Mental chronometry using latency-resolved functional MRI. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[112]  M. D’Esposito,et al.  A Trial-Based Experimental Design for fMRI , 1997, NeuroImage.

[113]  Karl J. Friston,et al.  Effective Connectivity and Intersubject Variability: Using a Multisubject Network to Test Differences and Commonalities , 2002, NeuroImage.

[114]  Matthew D. Lieberman,et al.  Does Rejection Hurt? An fMRI Study of Social Exclusion , 2003, Science.

[115]  Leslie G. Ungerleider,et al.  Mechanisms of visual attention in the human cortex. , 2000, Annual review of neuroscience.

[116]  J. Cacioppo,et al.  Brain imaging and cognitive neuroscience. Toward strong inference in attributing function to structure. , 1996, The American psychologist.

[117]  E A Disbrow,et al.  Functional MRI at 1.5 tesla: a comparison of the blood oxygenation level-dependent signal and electrophysiology. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[118]  Helen E. Fisher,et al.  Reward, motivation, and emotion systems associated with early-stage intense romantic love. , 2005, Journal of neurophysiology.

[119]  Karl J. Friston,et al.  Classical and Bayesian Inference in Neuroimaging: Theory , 2002, NeuroImage.

[120]  A M Dale,et al.  Randomized event‐related experimental designs allow for extremely rapid presentation rates using functional MRI , 1998, Neuroreport.

[121]  Thomas E. Nichols,et al.  Toward a taxonomy of attention shifting: Individual differences in fMRI during multiple shift types , 2005, Cognitive, affective & behavioral neuroscience.

[122]  Fahmeed Hyder,et al.  Energetic basis of brain activity: implications for neuroimaging , 2004, Trends in Neurosciences.

[123]  G. Glover Deconvolution of Impulse Response in Event-Related BOLD fMRI1 , 1999, NeuroImage.

[124]  R. S. Hinks,et al.  Time course EPI of human brain function during task activation , 1992, Magnetic resonance in medicine.

[125]  J. Ehrhardt,et al.  Thalamic abnormalities in schizophrenia visualized through magnetic resonance image averaging. , 1994, Science.