Literature DB >> 10085333

Cross-correlation study of the temporal interactions between areas V1 and V2 of the macaque monkey.

L G Nowak1, M H Munk, A C James, P Girard, J Bullier.   

Abstract

Cross-correlation studies performed in cat visual cortex have shown that neurons in different cortical areas of the same hemisphere or in corresponding areas of opposite hemispheres tend to synchronize their activities. The presence of synchronization may be related to the parallel organization of the cat visual system, in which different cortical areas can be activated in parallel from the lateral geniculate nucleus. We wanted to determine whether interareal synchronization of firing can also be observed in the monkey, in which cortical areas are thought to be organized in a hierarchy spanning different levels. Cross-correlation histograms (CCHs) were calculated from pairs of single or pairs of multiunit activities simultaneously recorded in areas V1 and V2 of paralyzed and anesthetized macaque monkeys. Moving bars and flashed bars were used as stimuli. The shift predictor was calculated and subtracted from the raw CCH to reveal interactions of neuronal origin in isolation. Significant CCH peaks, indicating interactions of neuronal origin, were obtained in 11% of the dual single-unit recordings and 46% of the dual multiunit recordings with moving bars. The incidence of nonflat CCHs with flashed bars was 29 and 78%, respectively. For the pairs of recording sites where both flashed and moving stimuli were used, the incidences of significant CCHs were very similar. Three types of peaks were distinguished on the basis of their width at half-height: T (<16 ms), C (between 16 and 180 ms), and H peaks (>180 ms). T peaks were very rarely observed (<1% in single-unit recordings). H peaks were observed in 7-16% of the single-unit CCHs, and C peaks in 6-16%, depending on the stimulus used. C and H peaks were observed more often when the receptive fields were overlapping or distant by <2 degrees. To test for the presence of synchronization between neurons in areas V1 and V2, we measured the position of the CCH peak with respect to the origin of the time axis of the CCH. Only in the case of a few T peaks did we find displaced peaks, indicating a possible drive of the V2 neuron by the simultaneously recorded V1 cell. All the other peaks were either centered on the origin or overlapped the origin of time with their upper halves. Thus similarly to what has been reported for the cat, neurons belonging to different cortical areas in the monkey tend to synchronize the time of emission of their action potentials with three different levels of temporal precision. For peaks calculated from flashed stimuli, we compared the peak position with the difference between latencies of V1 and V2 neurons. There was a clear correlation for single-unit pairs in the case of C peaks. Thus the position of a C peak on the time axis appears to reflect the order of visual activation of the correlated neurons. The coupling strength for H peaks was smaller during visual drive compared with spontaneous activity. On the contrary, C peaks were seen more often and were stronger during visual stimulation than during spontaneous activity. This suggests that C-type synchronization is associated with the processing of visual information. The origin of synchronized activity in a serially organized system is discussed.

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Year:  1999        PMID: 10085333     DOI: 10.1152/jn.1999.81.3.1057

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  19 in total

1.  Top-down processing mediated by interareal synchronization.

Authors:  A von Stein; C Chiang; P König
Journal:  Proc Natl Acad Sci U S A       Date:  2000-12-19       Impact factor: 11.205

2.  Long-distance feedback projections to area V1: implications for multisensory integration, spatial awareness, and visual consciousness.

Authors:  Simon Clavagnier; Arnaud Falchier; Henry Kennedy
Journal:  Cogn Affect Behav Neurosci       Date:  2004-06       Impact factor: 3.282

3.  Specificity of V1-V2 orientation networks in the primate visual cortex.

Authors:  Anna W Roe; Daniel Y Ts'o
Journal:  Cortex       Date:  2015-07-22       Impact factor: 4.027

4.  Transient neuronal correlations underlying goal selection and maintenance in prefrontal cortex.

Authors:  Satoshi Tsujimoto; Aldo Genovesio; Steven P Wise
Journal:  Cereb Cortex       Date:  2008-03-20       Impact factor: 5.357

5.  Relationship between spontaneous and evoked spike-time correlations in primate visual cortex.

Authors:  Walter J Jermakowicz; Xin Chen; Ilya Khaytin; A B Bonds; Vivien A Casagrande
Journal:  J Neurophysiol       Date:  2009-02-11       Impact factor: 2.714

6.  The cruciform model of striate generation of the early VEP, re-illustrated, not revoked: a reply to Ales et al. (2013).

Authors:  Simon P Kelly; M Isabel Vanegas; Charles E Schroeder; Edmund C Lalor
Journal:  Neuroimage       Date:  2013-06-02       Impact factor: 6.556

7.  Malleability of gamma rhythms enhances population-level correlations.

Authors:  Sonica Saraf; Lai-Sang Young
Journal:  J Comput Neurosci       Date:  2021-04-05       Impact factor: 1.621

8.  Coordinated Neuronal Activity Enhances Corticocortical Communication.

Authors:  Amin Zandvakili; Adam Kohn
Journal:  Neuron       Date:  2015-08-19       Impact factor: 17.173

9.  Cortical Areas Interact through a Communication Subspace.

Authors:  João D Semedo; Amin Zandvakili; Christian K Machens; Byron M Yu; Adam Kohn
Journal:  Neuron       Date:  2019-02-12       Impact factor: 17.173

10.  Generation of the VESPA response to rapid contrast fluctuations is dominated by striate cortex: evidence from retinotopic mapping.

Authors:  E C Lalor; S P Kelly; J J Foxe
Journal:  Neuroscience       Date:  2012-06-07       Impact factor: 3.590

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