Literature DB >> 15341611

Directed interactions between visual areas and their role in processing image structure and expectancy.

Rodrigo F Salazar1, Peter König, Christoph Kayser.   

Abstract

During sensory processing, cortical areas continuously exchange information in different directions along the hierarchy. The functional role of such interactions, however, has been the subject of various proposals. Here, we investigate the role of bottom-up and top-down interactions in processing stimulus structure and their relation to expected events. Applying multivariate autoregressive methods to local field potentials recorded in alert cats, we quantify directed interactions between primary (A17/18) and higher (A21) visual areas. A trial-by-trial analysis yields the following findings. To assess the role of interareal interactions in processing stimulus structure, we recorded in naïve animals during stimulation with natural movies and pink noise stimuli. The overall interactions decrease compared with baseline for both stimuli. To investigate whether forthcoming events modulate interactions, we recorded in trained animals viewing two stimuli, one of which had been associated with a reward. Several results support such modulations. First, the interactions increase compared with baseline and this increase is not observed in a context where food was not delivered. Second, these stimuli have a differential effect on top-down and bottom-up components. This difference is emphasized during the stimulus presentation and is maximal shortly before the possible reward. Furthermore, a spectral decomposition of the interactions shows that this asymmetry is most dominant in the gamma frequency range. Concluding, these results support the notion that interareal interactions are more related to an expectancy state rather than to processing of stimulus structure.

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Year:  2004        PMID: 15341611     DOI: 10.1111/j.1460-9568.2004.03579.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  9 in total

1.  Precise spatiotemporal patterns among visual cortical areas and their relation to visual stimulus processing.

Authors:  Inbal Ayzenshtat; Elhanan Meirovithz; Hadar Edelman; Uri Werner-Reiss; Elie Bienenstock; Moshe Abeles; Hamutal Slovin
Journal:  J Neurosci       Date:  2010-08-18       Impact factor: 6.167

2.  Analyzing multiple spike trains with nonparametric Granger causality.

Authors:  Aatira G Nedungadi; Govindan Rangarajan; Neeraj Jain; Mingzhou Ding
Journal:  J Comput Neurosci       Date:  2009-01-10       Impact factor: 1.621

Review 3.  Modelling and analysis of local field potentials for studying the function of cortical circuits.

Authors:  Gaute T Einevoll; Christoph Kayser; Nikos K Logothetis; Stefano Panzeri
Journal:  Nat Rev Neurosci       Date:  2013-11       Impact factor: 34.870

4.  Interactions between the superior temporal sulcus and auditory cortex mediate dynamic face/voice integration in rhesus monkeys.

Authors:  Asif A Ghazanfar; Chandramouli Chandrasekaran; Nikos K Logothetis
Journal:  J Neurosci       Date:  2008-04-23       Impact factor: 6.167

5.  Cross validation for selection of cortical interaction models from scalp EEG or MEG.

Authors:  Bing Leung Patrick Cheung; Robert Nowak; Hyong Chol Lee; Wim van Drongelen; Barry D Van Veen
Journal:  IEEE Trans Biomed Eng       Date:  2011-11-08       Impact factor: 4.538

6.  Mapping information flow in sensorimotor networks.

Authors:  Max Lungarella; Olaf Sporns
Journal:  PLoS Comput Biol       Date:  2006-10-27       Impact factor: 4.475

7.  Causal measures of structure and plasticity in simulated and living neural networks.

Authors:  Alex J Cadotte; Thomas B DeMarse; Ping He; Mingzhou Ding
Journal:  PLoS One       Date:  2008-10-07       Impact factor: 3.240

8.  Directed Interactions Between Auditory and Superior Temporal Cortices and their Role in Sensory Integration.

Authors:  Christoph Kayser; Nikos K Logothetis
Journal:  Front Integr Neurosci       Date:  2009-05-04

9.  Directed cortical information flow during human object recognition: analyzing induced EEG gamma-band responses in brain's source space.

Authors:  Gernot G Supp; Alois Schlögl; Nelson Trujillo-Barreto; Matthias M Müller; Thomas Gruber
Journal:  PLoS One       Date:  2007-08-01       Impact factor: 3.240

  9 in total

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