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Psychophysiological and Modulatory Interactions in Neuroimaging
Open accessAbstract
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.
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“This is because for activation fMRI-based connectivity models, the selection of seed regions that show different levels of average activation during the psychological conditions of interest are problematic because of confounding co-activation and connectivity (Friston et al. 1997).”
From A novel resting-state functional magnetic resonance imaging signature of resilience to recurrent depression (2017) · cites this paper as Friston et al. 1997
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- Buechel, 1996, Nonlinear regression in parametric activation studies, NeuroImage, 4, 60, 10.1006/nimg.1996.0029 · DOI
- Desimone, 1984, Stimulus selective properties of inferior temporal neurons in the macaque, J. Neurosci., 4, 2051, 10.1523/JNEUROSCI.04-08-02051.1984 · DOI
- Fletcher, 1995, Brain systems for encoding and retrieval of auditory–verbal memory, Brain, 118, 401, 10.1093/brain/118.2.401 · DOI
- Friston, 1992, Motor practice and neurophysiological adaptation in the cerebellum: A positron tomography study, Proc. R. Soc. London Ser. B, 248, 223, 10.1098/rspb.1992.0065 · DOI
- Friston, 1993, Functional connectivity: The principal component analysis of large (PET) data sets, J. Cereb. Blood Flow Metab., 13, 5, 10.1038/jcbfm.1993.4 · DOI
- Friston, 1993, Time-dependent changes in effective connectivity measured with PET, Hum. Brain Mapping, 1, 69, 10.1002/hbm.460010108 · DOI · Paper page
- Friston, 1995, Characterizing modulatory interactions between areas V1 and V1 in human cortex: A new treatment of functional MRI data, Hum. Brain Mapping, 2, 211, 10.1002/hbm.460020403 · DOI
- Friston, 1995, Statistical parametric maps in functional imaging: A general linear approach, Hum. Brain Mapping, 2, 189, 10.1002/hbm.460020402 · DOI · Paper page
- Friston, 1995, Analysis of fMRI time-series revisited, NeuroImage, 2, 45, 10.1006/nimg.1995.1007 · DOI
- Friston, 1995, Spatial registration and normalisation of images, Hum. Brain Mapping, 2, 165, 10.1002/hbm.460030303 · DOI
- Friston, 1996, Movement related effects in fMRI time series, Mag. Res. Med., 35, 346, 10.1002/mrm.1910350312 · DOI · Paper page
- Frith, 1997, The role of the thalamus in ‘top down’ modulation of attention to sound, NeuroImage, 0, 00
- Gerstein, 1969, Simultaneously recorded trains of action potentials: Analysis and functional interpretation, Science, 164, 828, 10.1126/science.164.3881.828 · DOI
- Horwitz, 1992, Functional associations among human posterior extrastriate brain regions during object and spatial vision, J. Cog. Neurosci., 4, 311, 10.1162/jocn.1992.4.4.311 · DOI
- Kenny, 1984, Estimating nonlinear and interactive effects of latent variables, Psychol. Bull., 96, 201, 10.1037/0033-2909.96.1.201 · DOI
- McIntosh, 1994, Network analysis of cortical visual pathways mapped with PET, J. Neurosci., 14, 655, 10.1523/JNEUROSCI.14-02-00655.1994 · DOI
- McIntosh, 1994, Functional cortical networks during short-term recognition memory for faces, Abstr. Soc. Neurosci., 20, 362
- Paus, 1996, Imaging motor-to-sensory discharges in the human brain: An experimental toll for the assessment of functional connectivity, NeuroImage, 4, 78, 10.1006/nimg.1996.0031 · DOI
- Roelfsema, 1997, Visuomotor integration is associated with zero time-lag synchronization among cortical areas, Nature, 385, 157, 10.1038/385157a0 · DOI · Paper page
- Zeki, 1991, A direct demonstration of functional specialisation in human visual cortex, J. Neurosci., 11, 641, 10.1523/JNEUROSCI.11-03-00641.1991 · DOI
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Self-citationHamzei, F., Glauche, V., Schwarzwald, R., & May, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.089 · Cited by 56
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Yoshie, M., Nagai, Y., Critchley, H. D., & Harrison, N. A. (2016) · Scientific Reports · doi:10.1038/srep19305 · Cited by 50
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Fryer, S. L., Roach, B. J., Ford, J. M., Donaldson, K. R., Calhoun, V. D., Pearlson, G. D., Kiehl, K. A., Srihari, V. H., McGlashan, T. H., Woods, S. W., et al. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx198 · Cited by 40
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Platt, B., Campbell, C. A., James, A. C., Murphy, S. E., Cooper, M. J., & Lau, J. Y. F. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.11.016 · Cited by 37
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Wildgruber, D., Szameitat, D. P., Ethofer, T., Brück, C., Alter, K., Grodd, W., & Kreifelts, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063441 · Cited by 33
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BackgroundPaul, S., Beucke, J. C., Kaufmann, C., Mersov, A., Heinzel, S., Kathmann, N., & Simon, D. (2019) · Psychological Medicine · doi:10.1017/s003329171800079x · Cited by 33
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Opel, N., Redlich, R., Grotegerd, D., Dohm, K., Zaremba, D., Meinert, S., Bürger, C., Plümpe, L., Alferink, J., Heindel, W., et al. (2017) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.160198 · Cited by 28
Ankudowich, E., Pasvanis, S., & Rajah, M. N. (2019) · Psychology and Aging · doi:10.1037/pag0000310 · Cited by 29
Workman, C. I., Lythe, K. E., McKie, S., Moll, J., Gethin, J. A., Deakin, J. F. W., Elliott, R., & Zahn, R. (2017) · Psychological Medicine · doi:10.1017/s0033291716002567 · Cited by 26
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Dreszer, J., Grochowski, M., Lewandowska, M., Nikadon, J., Gorgol, J., Bałaj, B., Finc, K., Duch, W., Kałamała, P., Chuderski, A., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25162 · Cited by 23
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Watanabe, K., Masaoka, Y., Kawamura, M., Yoshida, M., Koiwa, N., Yoshikawa, A., Kubota, S., Ida, M., Ono, K., & Izumizaki, M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00687 · Cited by 21
Wang, A., Li, Y., Zhang, M., & Chen, Q. (2016) · PLOS ONE · doi:10.1371/journal.pone.0151838 · Cited by 16
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Metadata
- Authors
- Friston, K. J., Buechel, C., Fink, G. R., Morris, J., Rolls, E., & Dolan, R. J.
- Affiliations
- University College London (GB)
- Wellcome Trust (GB)
- University of Oxford (GB)
- The Royal Free Hospital (GB)
- Corresponding author
- Friston, K.J
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 1997-10
- Volume
- 6
- Issue
- 3
- Pages
- 218-229
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2144351977
- Cited by
- 3,097
- References
- 0
- Citations by year
- 2026: 71 · 2025: 94 · 2024: 92 · 2023: 87 · 2022: 104 · 2021: 132 · 2020: 144 · 2019: 148 · 2018: 171 · 2017: 197 · 2016: 196 · 2015: 204 · 2014: 193 · 2013: 232 · 2012: 210
- FWCI
- 9.54
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Funders
- Wellcome Trust
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- psychophysiological interaction, effective connectivity, functional integration, visual priming, extrastriate cortex, inferotemporal cortex, posterior parietal cortex, visual processing, functional MRI, positron emission tomography
- MeSH terms
- Attention, Brain, Diagnostic Imaging, Face, Humans, Magnetic Resonance Imaging, Models, Neurological, Motion Perception, Neural Pathways, Pattern Recognition, Visual, Psychophysics, Tomography, Emission-Computed
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