Cited by 109Functional Brain Connectivity StudiesNeural dynamics and brain functionFace Recognition and Perception

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

Forward and backward connections in the brain: A DCM study of functional asymmetries

Open access

Chen, C.C., Henson, R.N., Stephan, K.E., Kilner, J.M., Friston, K.J.·2009·NeuroImage

DOI 10.1016/j.neuroimage.2008.12.041

Open this paper in CoChat — free account Open PDF

Abstract

In this paper, we provide evidence for functional asymmetries in forward and backward connections that define hierarchical architectures in the brain. We exploit the fact that modulatory or nonlinear influences of one neuronal system on another (i.e., effective connectivity) entail coupling between different frequencies. Functional asymmetry in forward and backward connections was addressed by comparing dynamic causal models of MEG responses induced by visual processing of normal and scrambled faces. We compared models with and without nonlinear (between-frequency) coupling in both forward and backward connections. Bayesian model comparison indicated that the best model had nonlinear forward and backward connections. Using the best model we then quantified frequency-specific causal influences mediating observed spectral responses. We found a striking asymmetry between forward and backward connections; in which high (gamma) frequencies in higher cortical areas suppressed low (alpha) frequencies in lower areas. This suppression was significantly greater than the homologous coupling in the forward connections. Furthermore, exactly the asymmetry was observed when we examined face-selective coupling (i.e., coupling under faces minus scrambled faces). These results highlight the importance of nonlinear coupling among brain regions and point to a functional asymmetry between forward and backward connections in the human brain that is consistent with anatomical and physiological evidence from animal studies. This asymmetry is also consistent with functional architectures implied by theories of perceptual inference in the brain, based on hierarchical generative models.

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2008.12.041

Cites

90 of 90 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483 · cited 3×
“We focus on a specific but dominant account of functional anatomy, based on hierarchical inference and learning in the brain (Helmholtz, 1860; MacKay,1956; Ballard et al., 1983; Mumford,1992; Kawato et al., 1993; Dayan et al., 1995; Rao and Ballard, 1999; Rao, 1999; Friston, 2003; Kersten et al., 2004; Friston, 2005;…”
Background
Co-planar stereotaxic atlas of the human brain : 3-dimensional proportional system : an approach to cerebral imaging
Talairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058
The distributed human neural system for face perception
Haxby, J. V., Hoffman, E. A., & Gobbini, M. I. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01482-0 · Cited by 4,891
The brainweb: phase synchronization and large-scale integration
Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761
Dynamic causal modelling
Friston, K. J., Harrison, L., & Penny, W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00202-7 · Cited by 4,583
A theory of cortical responses.
Friston, K. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1622 · Cited by 4,578
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2006) · Science · doi:10.1126/science.1128115 · Cited by 2,650
The distinct modes of vision offered by feedforward and recurrent processing
Lamme, V. A. F., & Roelfsema, P. R. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01657-x · Cited by 2,338 · cited 2×
“There are many examples of this ranging from the mediation of extra-classical receptive field effects (Angelucci and Bressloff, 2006; Hupe et al., 1998; Lamme and Roelfsema, 2000) to the implementation of gain mechanisms that may be involved in attention and biased competition (Larkum et al.”
Background
Oscillatory gamma activity in humans and its role in object representation
Tallon‐Baudry, C. (1999) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(99)01299-1 · Cited by 2,205
Handbuch der physiologischen Optik
Helmholtz, H. L. F. (2011) · DFG Viewer (DFG Viewer) · Cited by 1,947
EEG source imaging.
Michel, C., Murray, M. M., Lantz, G., Gonzalez, S., Spinelli, L., & de Peralta, R. G. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.06.001 · Cited by 1,771
The connections of the middle temporal visual area (MT) and their relationship to a cortical hierarchy in the macaque monkey
Maunsell, J., & van Essen, D. (1983) · The Journal of Neuroscience · doi:10.1523/jneurosci.03-12-02563.1983 · Cited by 1,602
Gamma (40-100 Hz) oscillation in the hippocampus of the behaving rat
Bragin, A., Jando, G., Nadasdy, Z., Hetke, J., Wise, K., & Buzsaki, G. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-01-00047.1995 · Cited by 1,527
A free energy principle for the brain
Friston, K., Kilner, J., & Harrison, L. (2006) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2006.10.001 · Cited by 1,369
Object perception as Bayesian inference
Kersten, D., Mamassian, P., & Yuille, A. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142005 · Cited by 1,269
The helmholtz machine
Dayan, P., Hinton, G. E., Neal, R. M., & Zemel, R. S. (1995) · Neural Computation · doi:10.1162/neco.1995.7.5.889 · Cited by 1,207
DENDRITIC COMPUTATION
London, M., & Häusser, M. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135703 · Cited by 1,149
Laminar origins and terminations of cortical connections of the occipital lobe in the rhesus monkey
Rockland, K. S., & Pandya, D. Ν. (1979) · Brain Research · doi:10.1016/0006-8993(79)90485-2 · Cited by 1,076
On the computational architecture of the neocortex: II The role of cortico-cortical loops
Mumford, D. (1992) · Biological Cybernetics · doi:10.1007/bf00198477 · Cited by 1,074
The functional logic of cortical connections
Zeki, S., & Shipp, S. (1988) · Nature · doi:10.1038/335311a0 · Cited by 1,067 · cited 3×
“…in the sensory cortex, the brain has a hierarchical organisation that is defined largely by asymmetries in extrinsic cortico-cortical connections (Maunsell and van Essen, 1983; Zeki and Shipp, 1988; Felleman and Van Essen, 1991; for motor systems this issue is more controversial, see Shipp, 2005).”
Background
Cross-frequency coupling between neuronal oscillations
Jensen, O., & Colgin, L. L. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.05.003 · Cited by 991
On the computational architecture of the neocortex: I. The role of the thalamo-cortical loop
Mumford, D. (1991) · Biological Cybernetics · doi:10.1007/bf00202389 · Cited by 929
Variational free energy and the Laplace approximation
Friston, K., Mattout, J., Trujillo-Barreto, N., Ashburner, J., & Penny, W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.035 · Cited by 880
Cortical feedback improves discrimination between figure and background by V1, V2 and V3 neurons
Hupé, J. M., James, A. C., Payne, B. R., Lomber, S. G., Girard, P., & Bullier, J. (1998) · Nature · doi:10.1038/29537 · Cited by 864
Comparing dynamic causal models.
Penny, W. D., Stephan, K. E., Mechelli, A., & Friston, K. J. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.026 · Cited by 848
Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modelling and fMRI
Büchel, C. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.8.768 · Cited by 798
Circuits for local and global signal integration in primary visual cortex
Angelucci, A., Levitt, J. B., Walton, E. J. S., Hupé, J.-M., Bullier, J., & Lund, J. S. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-19-08633.2002 · Cited by 789
On the actions that one nerve cell can have on another: distinguishing “drivers” from “modulators”
Sherman, S. M., & Guillery, R. W. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.12.7121 · Cited by 746 · cited 3×
“modulatory, in relation to the driving effects of forward connections (Salin and Bullier, 1995; Sherman and Guillery, 1998), is further supported by the higher degree of divergence that backward connections display and by their ability to transcend more than one cortical level (Zeki and Shipp, 1988).”
Background
Learning and inference in the brain
Friston, K. (2003) · Neural Networks · doi:10.1016/j.neunet.2003.06.005 · Cited by 724
A network of occipito-temporal face-sensitive areas besides the right middle fusiform gyrus is necessary for normal face processing
Rossion, B. (2003) · Brain · doi:10.1093/brain/awg241 · Cited by 719
Corticocortical connections in the visual system: structure and function
Salin, P. A., & Bullier, J. (1995) · Physiological Reviews · doi:10.1152/physrev.1995.75.1.107 · Cited by 636
Feedforward, horizontal, and feedback processing in the visual cortex
Lamme, V. A. F., Supèr, H., & Spekreijse, H. (1998) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(98)80042-1 · Cited by 624
Dynamic causal modeling of evoked responses in EEG and MEG
David, O., Kiebel, S. J., Harrison, L. M., Mattout, J., Kilner, J. M., & Friston, K. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.10.045 · Cited by 620
Multiple sparse priors for the M/EEG inverse problem.
Friston, K., Harrison, L., Daunizeau, J., Kiebel, S., Phillips, C., Trujillo-Barreto, N., Henson, R., Flandin, G., & Mattout, J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.048 · Cited by 589
Self-citation
Cellular bases of neocortical activation: modulation of neural oscillations by the nucleus basalis and endogenous acetylcholine
Metherate, R., Cox, C. L., & Ashe, J. H. (1992) · Journal of Neuroscience · doi:10.1523/jneurosci.12-12-04701.1992 · Cited by 575
Face recognition in human extrastriate cortex.
Allison, T., Ginter, H., McCarthy, G., Nobre, A. C., Puce, A., Luby, M., & Spencer, D. D. (1994) · Journal of Neurophysiology · doi:10.1152/jn.1994.71.2.821 · Cited by 567
Dynamic causal modeling
Marreiros, A. C., Stephan, K. E., & Friston, K. J. (2010) · Scholarpedia · doi:10.4249/scholarpedia.9568 · Cited by 564
Predictive codes for forthcoming perception in the frontal cortex.
Summerfield, C., Egner, T., Greene, M., Koechlin, E., Mangels, J., & Hirsch, J. (2006) · Science · doi:10.1126/science.1132028 · Cited by 496
Effective Connectivity within the Distributed Cortical Network for Face Perception
Fairhall, S. L., & Ishai, A. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl148 · Cited by 471
fMRI-Adaptation Reveals Dissociable Neural Representations of Identity and Expression in Face Perception
Winston, J. S., Henson, R. N., Fine-Goulden, M. R., & Dolan, R. J. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00155.2004 · Cited by 468
Contribution of feedforward, lateral and feedback connections to the classical receptive field center and extra-classical receptive field surround of primate V1 neurons
Angelucci, A., & Bressloff, P. C. (2006) · Progress in brain research · doi:10.1016/s0079-6123(06)54005-1 · Cited by 453
Comparing hemodynamic models with DCM
Stephan, K. E., Weiskopf, N., Drysdale, P. M., Robinson, P. A., & Friston, K. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.040 · Cited by 441
Nonlinear dynamic causal models for fMRI
Stephan, K. E., Kasper, L., Harrison, L. M., Daunizeau, J., den Ouden, H. E. M., Breakspear, M., & Friston, K. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.262 · Cited by 416
Low- and high-frequency membrane potential oscillations during theta activity in CA1 and CA3 pyramidal neurons of the rat hippocampus under ketamine-xylazine anesthesia
Soltész, I., & Deschênes, M. (1993) · Journal of Neurophysiology · doi:10.1152/jn.1993.70.1.97 · Cited by 410
Electrophysiological and Haemodynamic Correlates of Face Perception, Recognition and Priming
Henson, R. N. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.7.793 · Cited by 387
Top-down Dendritic Input Increases the Gain of Layer 5 Pyramidal Neurons
Larkum, M. E. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh065 · Cited by 366
Parallel visual computation
Ballard, D. H., Hinton, G. E., & Sejnowski, T. J. (1983) · Nature · doi:10.1038/306021a0 · Cited by 356
Mapping human brain function with MEG and EEG: methods and validation
Darvas, F., Pantazis, D., Kucukaltun-Yildirim, E., & Leahy, R. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.014 · Cited by 308
The location and function of NMDA receptors in cat and kitten visual cortex
Fox, K., Sato, H., & Daw, N. (1989) · The Journal of Neuroscience · doi:10.1523/jneurosci.09-07-02443.1989 · Cited by 307
Calcium-Activated Potassium Channels: Multiple Contributions to Neuronal Function
Faber, E. S. L., & Sah, P. (2003) · The Neuroscientist · doi:10.1177/1073858403009003011 · Cited by 267
Corticofugal feedback influences the generation of length tuning in the visual pathway
Murphy, P. C., & Sillito, A. M. (1987) · Nature · doi:10.1038/329727a0 · Cited by 257
Cerebral pathways in processing of affective prosody: A dynamic causal modeling study
Ethofer, T., Anders, S., Erb, M., Herbert, C., Wiethoff, S., Kissler, J. M., Grodd, W., & Wildgruber, D. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.059 · Cited by 251
Dynamic causal modelling of evoked potentials: A reproducibility study
Garrido, M. I., Kilner, J. M., Kiebel, S. J., Stephan, K. E., & Friston, K. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.014 · Cited by 233
Group imaging of task-related changes in cortical synchronisation using nonparametric permutation testing
Singh, K. D., Barnes, G. R., & Hillebrand, A. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00249-0 · Cited by 222
Hemodynamic correlates of EEG: a heuristic
Kilner, J. M., Mattout, J., Henson, R., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.008 · Cited by 206
Parieto-Frontal Connectivity during Visually Guided Grasping
Grol, M. J., Majdandžić, J., Stephan, K. E., Verhagen, L., Dijkerman, H. C., Harold Bekkering, A., Verstraten, F. A. J., & Toni, I. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3923-07.2007 · Cited by 205
Spatio temporal Dynamics of Face Recognition
Barbeau, E. J., Taylor, M. J., Régis, J. M., Marquis, P., Chauvel, P., & Liégeois‐Chauvel, C. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm140 · Cited by 191
Effect of cooling area 18 on striate cortex cells in the squirrel monkey.
Sandell, J. H., & Schiller, P. H. (1982) · Journal of Neurophysiology · doi:10.1152/jn.1982.48.1.38 · Cited by 189
The effect of varying stimulus intensity on NMDA-receptor activity in cat visual cortex
Fox, K., Sato, H., & Daw, N. (1990) · Journal of Neurophysiology · doi:10.1152/jn.1990.64.5.1413 · Cited by 185 · cited 1×
“For example, transmission of sensory information along forward connections can involve NMDA receptors (Fox et al., 1990; Kelly and Zhang, 2002; Salt, 2002).”
Background
Chapter 29 Anatomical origins of the classical receptive field and modulatory surround field of single neurons in macaque visual cortical area V1
Angelucci, A., Levitt, J. B., & Lund, J. S. (2002) · Progress in brain research · doi:10.1016/s0079-6123(02)36031-x · Cited by 183
Visual activity in area V2 during reversible inactivation of area 17 in the macaque monkey
Girard, P., & Bullier, J. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.62.6.1287 · Cited by 179
Shifts of Effective Connectivity within a Language Network during Rhyming and Spelling
Bitan, T., Booth, J. R., Choy, J., Burman, D. D., Gitelman, D. R., & Mesulam, M. M. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.0864-05.2005 · Cited by 175
An optimal estimation approach to visual perception and learning
Rao, R. P. N. (1999) · Vision Research · doi:10.1016/s0042-6989(98)00279-x · Cited by 173
Hierarchical organization of macaque and cat cortical sensory systems explored with a novel network processor
Hilgetag, C., O'Neill, M. A., & Young, M. P. (2000) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2000.0550 · Cited by 167
Interhemispheric Integration of Visual Processing during Task-Driven Lateralization
Stephan, K. E., Marshall, J. C., Penny, W. D., Friston, K. J., & Fink, G. R. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.4766-06.2007 · Cited by 166
The Functional Integration of the Anterior Cingulate Cortex during Conflict Processing
Fan, J., Hof, P. R., Guise, K. G., Fossella, J., & Posner, M. I. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm125 · Cited by 160
A forward-inverse optics model of reciprocal connections between visual cortical areas
Kawato, M., Hayakawa, H., & Inui, T. (1993) · Network: Computation in Neural Systems · doi:10.1088/0954-898x_4_4_001 · Cited by 151
A Dynamic Causal Modeling Study on Category Effects: Bottom–Up or Top–Down Mediation?
Mechelli, A., Price, C. J., Noppeney, U., & Friston, K. J. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903770007317 · Cited by 146
NMDA receptor-mediated dendritic spikes and coincident signal amplification
Schiller, J., & Schiller, Y. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00217-8 · Cited by 145
Book Review: Brain Function, Nonlinear Coupling, and Neuronal Transients
Friston, K. J. (2001) · The Neuroscientist · doi:10.1177/107385840100700510 · Cited by 141
Dynamic causal modelling of induced responses
Chen, C. C., Kiebel, S. J., & Friston, K. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.026 · Cited by 136
The importance of being agranular: a comparative account of visual and motor cortex
Shipp, S. D. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1630 · Cited by 133
Inversion and contrast-reversal effects on face processing assessed by MEG
Itier, R. J., Herdman, A. T., George, N., Cheyne, D. O., & Taylor, M. J. (2006) · Brain Research · doi:10.1016/j.brainres.2006.07.072 · Cited by 129
Bayesian estimation of synaptic physiology from the spectral responses of neural masses
Moran, R. J., Stephan, K. E., Kiebel, S. J., Rombach, N., O'Connor, W. T., Murphy, K. J., Reilly, R. B., & Friston, K. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.025 · Cited by 126
Self-citation
The Relationship Between Synchronization Among Neuronal Populations and Their Mean Activity Levels
Chawla, D., Lumer, E. D., & Friston, K. J. (1999) · Neural Computation · doi:10.1162/089976699300016287 · Cited by 125
The Epistemological Problem for Automata
MACKAY, D. M. (1956) · Princeton University Press eBooks · doi:10.1515/9781400882618-012 · Cited by 107
Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG
Kiebel, S. J., Jean Daunizeau, A., Phillips, C. L. M., & Friston, K. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.005 · Cited by 105
Characterizing modulatory interactions between areas V1 and V2 in human cortex: A new treatment of functional MRI data
Friston, K. J., Ungerleider, L. G., Jezzard, P., & Turner, R. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020403 · Cited by 104
Role of N-methyl-d-aspartate and metabotropic glutamate receptors in corticothalamic excitatory postsynaptic potentials In vivo
Eaton, S. A., & Salt, T. E. (1996) · Neuroscience · doi:10.1016/0306-4522(96)00123-6 · Cited by 63
Population-level inferences for distributed MEG source localization under multiple constraints: Application to face-evoked fields
Henson, R. N., Mattout, J., Singh, K. D., Barnes, G. R., Hillebrand, A., & Friston, K. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.026 · Cited by 62
Completing the Corticofugal Loop: A Visual Role for the Corticogeniculate Type 1 Metabotropic Glutamate Receptor
Rivadulla, C., Martı́nez, L. M., Varela, C., & Cudeiro, J. (2002) · Journal of Neuroscience · doi:10.1523/jneurosci.22-07-02956.2002 · Cited by 62
Contribution of AMPA and NMDA receptors to excitatory responses in the inferior colliculus
Kelly, J. B., & Zhang, H. (2002) · Hearing Research · doi:10.1016/s0378-5955(02)00372-6 · Cited by 53
Laminar distribution of NMDA receptors in cat and monkey visual cortex visualized by [3H]‐MK‐801 binding
Rosier, A. M., Arckens, L., Orban, G. A., & Vandesande, F. (1993) · Journal of Comparative Neurology · doi:10.1002/cne.903350307 · Cited by 50
Face-selective spectral changes in the human fusiform gyrus
Klopp, J., Halgren, E., Marinković, K., & NENOV, V. I. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(98)00039-x · Cited by 50
Glutamate receptor functions in sensory relay in the thalamus
Salt, T. E. (2002) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2002.1165 · Cited by 49
Electrophysiological characterization of synaptic connections between layer VI cortical cells and neurons of the nucleus reticularis thalami in juvenile rats
Gentet, L. J., & Ulrich, D. (2004) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2004.03168.x · Cited by 48
Characterizing modulatory interactions between areas V1 and V2 in human cortex: A new treatment of functional MRI data (vol 2, pg 211, 1995)
Friston, K. J., Ungerleider, L. G., Jezzard, P., & Turner, R. (1995) · UCL Discovery (University College London) · Cited by 44
Broca's region subserves imagery of motion: A combined cytoarchitectonic and fMRI study
Binkofski, F., Amunts, K., Stephan, K. M., Posse, S., Schormann, T., Freund, H.-J., Zilles, K., & Seitz, R. J. (2000) · Human Brain Mapping · doi:10.1002/1097-0193(200012)11:4

Sorted by citations

Functional and Effective Connectivity: A Review
Friston, K. J. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0008 · Cited by 3,415
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Cortical oscillations and sensory predictions
Arnal, L. H., & Giraud, A.-L. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.05.003 · Cited by 1,114
Ten simple rules for dynamic causal modeling
Stephan, K. E., Penny, W. D., Moran, R. J., den Ouden, H. E. M., Daunizeau, J., & Friston, K. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.11.015 · Cited by 803
Self-citation
Predictions not commands: Active inference in the motor system
Adams, R. A., Shipp, S., & Friston, K. J. (2013) · Brain Structure and Function · doi:10.1007/s00429-012-0475-5 · Cited by 765

See all 109

Authors: Chen, C. C., Henson, R. N., Stephan, K. E., Kilner, J. M., & Friston, K. J.
Affiliations: Wellcome Centre for Human Neuroimaging (GB)
MRC Cognition and Brain Sciences Unit (GB)
Corresponding author: Chen, C.C.
ORCID: Chen, C.C.
Henson, R.N.
Stephan, K.E.
Kilner, J.M.
Friston, K.J.
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2009-04
Volume: 45
Issue: 2
Pages: 453-462
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2008.12.041
OpenAlex: W2120182026
Cited by: 109
References: 90
Citations by year: 2026: 3 · 2025: 8 · 2024: 6 · 2022: 5 · 2021: 4 · 2020: 8 · 2019: 1 · 2018: 19 · 2017: 5 · 2016: 5 · 2015: 7 · 2014: 4 · 2013: 7 · 2012: 5
FWCI: 4.36
Type: journal article
Language: en
Open access: green
www.zora.uzh.ch
Licence: other-oa
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
UCL Discovery (University College London) (submittedVersion)
Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
Zurich Open Repository and Archive (University of Zurich)
Funders: Wellcome Trust (088130)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
Keywords: functional asymmetry, effective connectivity, nonlinear coupling, face processing, MEG, perceptual inference, generative models, Bayesian model selection
MeSH terms: Brain Mapping, Computer Simulation, Evoked Potentials, Visual, Female, Humans, Functional Laterality, Male, Models, Neurological, Nerve Net, Pattern Recognition, Visual, Magnetoencephalography

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Forward and backward connections in the brain: A DCM study of functional asymmetries

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks