Identification of cerebral networks by classification of the shape of BOLD responses.

Changes in regional blood oxygen level dependent (BOLD) signals in response to brief visual stimuli can exhibit a variety of time-courses. To demonstrate the anatomical distribution of BOLD response shapes during a match to sample task, a formal analysis of their time-courses is presented. An event-related design was used to estimate regional BOLD responses evoked by a cue word, which instructed the subject to attend to the motion or color of an upcoming target, and those evoked by a briefly presented moving target consisting of colored dots. Regional BOLD time-courses were adequately represented by the linear combination of three orthogonal waveforms. BOLD response shapes were then classified using a fuzzy clustering scheme. Three classes (sustained, phasic, and negative) best characterized cue responses. Four classes (sustained, sustained-phasic, phasic, and bi-phasic) best characterized target responses. In certain regions, the shape of the BOLD responses was modulated by the instruction to attend to the target's motion or color. A left frontal and a posterior parietal region showed sustained activity when motion was cued and transient activity when color was cued. A right thalamic and a left lateral occipital region showed sustained activity when color was cued and transient activity when motion was cued. Following the target several regions showed more sustained activity during motion than color trials. In summary, the effect of the task variable was focal following the cue and widespread following the target. We conclude that the temporal patterns of neural activity affected the shape of the BOLD signal.

[1]  M. Corbetta,et al.  Two attentional processes in the parietal lobe. , 2002, Cerebral cortex.

[2]  M. Harms,et al.  Sound repetition rate in the human auditory pathway: representations in the waveshape and amplitude of fMRI activation. , 2002, Journal of neurophysiology.

[3]  R. Goebel,et al.  Tracking the Mind's Image in the Brain I Time-Resolved fMRI during Visuospatial Mental Imagery , 2002, Neuron.

[4]  M. Corbetta,et al.  Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.

[5]  Emery N. Brown,et al.  Locally Regularized Spatiotemporal Modeling and Model Comparison for Functional MRI , 2001, NeuroImage.

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

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

[8]  M Corbetta,et al.  Multiple neural correlates of detection in the human brain. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[9]  T. Sejnowski,et al.  Independent component analysis at the neural cocktail party , 2001, Trends in Neurosciences.

[10]  P. König,et al.  Top-down processing mediated by interareal synchronization. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[11]  David G. Stork,et al.  Pattern classification, 2nd Edition , 2000 .

[12]  Richard S. J. Frackowiak,et al.  Representation of the temporal envelope of sounds in the human brain. , 2000, Journal of neurophysiology.

[13]  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.

[14]  D. Heeger,et al.  Task-related modulation of visual cortex. , 2000, Journal of neurophysiology.

[15]  J. M. Ollinger,et al.  A homogeneity correction for post-hoc ANOVAs in FMRI , 2000, NeuroImage.

[16]  M. Corbetta,et al.  Voluntary orienting is dissociated from target detection in human posterior parietal cortex , 2000, Nature Neuroscience.

[17]  E. Miller,et al.  Prospective Coding for Objects in Primate Prefrontal Cortex , 1999, The Journal of Neuroscience.

[18]  Ravi S. Menon,et al.  Spatial and temporal limits in cognitive neuroimaging with fMRI , 1999, Trends in Cognitive Sciences.

[19]  M. Shadlen,et al.  Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque , 1999, Nature Neuroscience.

[20]  G. Orban,et al.  Regions in the human brain activated by simultaneous orientation discrimination: a study with positron emission tomography , 1998, The European journal of neuroscience.

[21]  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.

[22]  M. Corbetta,et al.  Human cortical mechanisms of visual attention during orienting and search. , 1998, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[23]  M. D’Esposito,et al.  The variability of human BOLD hemodynamic responses , 1998, NeuroImage.

[24]  G A Orban,et al.  Human brain regions involved in direction discrimination. , 1998, Journal of neurophysiology.

[25]  Leslie G. Ungerleider,et al.  An area specialized for spatial working memory in human frontal cortex. , 1998, Science.

[26]  R. Turner,et al.  Event-Related fMRI: Characterizing Differential Responses , 1998, NeuroImage.

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

[28]  A. Georgopoulos,et al.  Time‐resolved fMRI of mental rotation , 1997, Neuroreport.

[29]  M. Corbetta,et al.  Common Blood Flow Changes across Visual Tasks: II. Decreases in Cerebral Cortex , 1997, Journal of Cognitive Neuroscience.

[30]  M. Raichle,et al.  Anatomic Localization and Quantitative Analysis of Gradient Refocused Echo-Planar fMRI Susceptibility Artifacts , 1997, NeuroImage.

[31]  Leslie G. Ungerleider,et al.  Transient and sustained activity in a distributed neural system for human working memory , 1997, Nature.

[32]  R. Desimone,et al.  Neural Mechanisms of Visual Working Memory in Prefrontal Cortex of the Macaque , 1996, The Journal of Neuroscience.

[33]  D. Heeger,et al.  Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1 , 1996, The Journal of Neuroscience.

[34]  J. Maunsell,et al.  Responses of neurons in the parietal and temporal visual pathways during a motion task , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[35]  Leslie G. Ungerleider,et al.  Connections of inferior temporal areas TEO and TE with parietal and frontal cortex in macaque monkeys. , 1994, Cerebral cortex.

[36]  J. A. Horel,et al.  Cortical afferents to behaviorally defined regions of the inferior temporal and parahippocampal gyri as demonstrated by WGA‐HRP , 1992, The Journal of comparative neurology.

[37]  Barry J. Richmond,et al.  Unbiased measures of transmitted information and channel capacity from multivariate neuronal data , 1991, Biological Cybernetics.

[38]  R. Poppele,et al.  Components of the responses of a population of DSCT neurons determined from single-unit recordings. , 1989, Journal of neurophysiology.

[39]  J. Talairach,et al.  Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging , 1988 .

[40]  Mortimer Mishkin,et al.  Visual recognition impairment follows ventromedial but not dorsolateral prefrontal lesions in monkeys , 1986, Behavioural Brain Research.

[41]  Shigeo Abe DrEng Pattern Classification , 2001, Springer London.

[42]  David G. Stork,et al.  Pattern Classification (2nd ed.) , 1999 .

[43]  Leslie G. Ungerleider,et al.  Object and spatial visual working memory activate separate neural systems in human cortex. , 1996, Cerebral cortex.

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

[45]  B J Richmond,et al.  Temporal encoding of two-dimensional patterns by single units in primate inferior temporal cortex. II. Quantification of response waveform. , 1987, Journal of neurophysiology.

[46]  David G. Stork,et al.  Pattern Classification , 1973 .