Psychophysiological and Modulatory Interactions in Neuroimaging

In this paper we introduce the idea of explaining responses, in one cortical area, in terms of an interaction between the influence of another area and some experimental (sensory or task-related) parameter. We refer to these effects as psychophysiological interactions and relate them to interactions based solely on experimental factors (i.e., psychological interactions), in factorial designs, and interactions among neurophysiological measurements (i.e., physiological interactions). We have framed psychophysiological interactions in terms of functional integration by noting that the degree to which the activity in one area can be predicted, on the basis of activity in another, corresponds to the contribution of the second to the first, where this contribution can be related to effective connectivity. A psychophysiological interaction means that the contribution of one area to another changes significantly with the experimental or psychological context. Alternatively these interactions can be thought of as a contribution-dependent change in regional responses to an experimental or psychological factor. In other words the contribution can be thought of as modulating the responses elicited by a particular stimulus or psychological process. The potential importance of this approach lies in (i) conferring a degree of functional specificity on this aspect of effective connectivity and (ii) providing a model of modulation, where the contribution from a distal area can be considered to modulate responses to the psychological or stimulus-specific factor defining the interaction. Although distinct in neurobiological terms, these are equivalent perspectives on the same underlying interaction. We illustrate these points using a functional magnetic resonance imaging study of attention to visual motion and a position emission tomography study of visual priming. We focus on interactions among extrastriate, inferotemporal, and posterior parietal regions during visual processing, under different attentional and perceptual conditions.

[1]  D. Perkel,et al.  Simultaneously Recorded Trains of Action Potentials: Analysis and Functional Interpretation , 1969, Science.

[2]  D. A. Kenny,et al.  Estimating the nonlinear and interactive effects of latent variables. , 1984 .

[3]  R. Desimone,et al.  Stimulus-selective properties of inferior temporal neurons in the macaque , 1984, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[4]  A. Young,et al.  Aspects of face processing , 1986 .

[5]  David I. Perrett,et al.  Functional Organization of Visual Neurones Processing Face Identity , 1986 .

[6]  Karl J. Friston,et al.  A direct demonstration of functional specialization in human visual cortex , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[7]  H Preißl,et al.  Dynamics of activity and connectivity in physiological neuronal networks , 1991 .

[8]  Karl J. Friston,et al.  Motor practice and neurophysiological adaptation in the cerebellum: a positron tomography study , 1992, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[9]  Cheryl L. Grady,et al.  Functional Associations among Human Posterior Extrastriate Brain Regions during Object and Spatial Vision , 1992, Journal of Cognitive Neuroscience.

[10]  Karl J. Friston,et al.  Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets , 1993, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[11]  Karl J. Friston,et al.  Time‐dependent changes in effective connectivity measured with PET , 1993 .

[12]  Karl J. Friston,et al.  Characterizing modulatory interactions between areas V1 and V2 in human cortex: A new treatment of functional MRI data , 1994 .

[13]  Leslie G. Ungerleider,et al.  Network analysis of cortical visual pathways mapped with PET , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[14]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

[15]  Karl J. Friston,et al.  Analysis of fMRI Time-Series Revisited , 1995, NeuroImage.

[16]  P M Grasby,et al.  Brain systems for encoding and retrieval of auditory-verbal memory. An in vivo study in humans. , 1995, Brain : a journal of neurology.

[17]  Karl J. Friston,et al.  Spatial registration and normalization of images , 1995 .

[18]  Karl J. Friston,et al.  Movement‐Related effects in fMRI time‐series , 1996, Magnetic resonance in medicine.

[19]  Karl J. Friston,et al.  Nonlinear Regression in Parametric Activation Studies , 1996, NeuroImage.

[20]  Karl J. Friston,et al.  The Role of the Thalamus in “Top Down” Modulation of Attention to Sound , 1996, NeuroImage.

[21]  Sean Marrett,et al.  Imaging Motor-to-Sensory Discharges in the Human Brain: An Experimental Tool for the Assessment of Functional Connectivity , 1996, NeuroImage.

[22]  Karl J. Friston,et al.  Cerebral mechanisms associated with learning to see in an impoverished context , 1997 .

[23]  W. Singer,et al.  Visuomotor integration is associated with zero time-lag synchronization among cortical areas , 1997, Nature.