Literature DB >> 29975169

Dynamic communication of attention signals between the LGN and V1.

Vanessa L Mock1,2, Kimberly L Luke3, Jacqueline R Hembrook-Short3, Farran Briggs2,4,5,6.   

Abstract

Correlations and inferred causal interactions among local field potentials (LFPs) simultaneously recorded in distinct visual brain areas can provide insight into how visual and cognitive signals are communicated between neuronal populations. Based on the known anatomical connectivity of hierarchically organized visual cortical areas and electrophysiological measurements of LFP interactions, a framework for interareal frequency-specific communication has emerged. Our goals were to test the predictions of this framework in the context of the early visual pathways and to understand how attention modulates communication between the visual thalamus and primary visual cortex. We recorded LFPs simultaneously in retinotopically aligned regions of the visual thalamus and primary visual cortex in alert and behaving macaque monkeys trained on a contrast-change detection task requiring covert shifts in visual spatial attention. Coherence and Granger-causal interactions among early visual circuits varied dynamically over different trial periods. Attention significantly enhanced alpha-, beta-, and gamma-frequency interactions, often in a manner consistent with the known anatomy of early visual circuits. However, attentional modulation of communication among early visual circuits was not consistent with a simple static framework in which distinct frequency bands convey directed inputs. Instead, neuronal network interactions in early visual circuits were flexible and dynamic, perhaps reflecting task-related shifts in attention. NEW & NOTEWORTHY Attention alters the way we perceive the visual world. For example, attention can modulate how visual information is communicated between the thalamus and cortex. We recorded local field potentials simultaneously in the visual thalamus and cortex to quantify the impact of attention on visual information communication. We found that attentional modulation of visual information communication was not static, but dynamic over the time course of trials.

Entities:  

Keywords:  Granger causality; LGN; V1; coherence; local field potential

Mesh:

Year:  2018        PMID: 29975169      PMCID: PMC6230788          DOI: 10.1152/jn.00224.2018

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


  69 in total

1.  The koniocellular pathway in primate vision.

Authors:  S H Hendry; R C Reid
Journal:  Annu Rev Neurosci       Date:  2000       Impact factor: 12.449

Review 2.  Neuronal circuits of the neocortex.

Authors:  Rodney J Douglas; Kevan A C Martin
Journal:  Annu Rev Neurosci       Date:  2004       Impact factor: 12.449

3.  Neural activities in v1 create a bottom-up saliency map.

Authors:  Xilin Zhang; Li Zhaoping; Tiangang Zhou; Fang Fang
Journal:  Neuron       Date:  2012-01-12       Impact factor: 17.173

4.  The MVGC multivariate Granger causality toolbox: a new approach to Granger-causal inference.

Authors:  Lionel Barnett; Anil K Seth
Journal:  J Neurosci Methods       Date:  2013-11-05       Impact factor: 2.390

5.  Cell type-specific control of neuronal responsiveness by gamma-band oscillatory inhibition.

Authors:  Stephani Otte; Andrea Hasenstaub; Edward M Callaway
Journal:  J Neurosci       Date:  2010-02-10       Impact factor: 6.167

6.  Neuronal mechanisms and attentional modulation of corticothalamic α oscillations.

Authors:  Anil Bollimunta; Jue Mo; Charles E Schroeder; Mingzhou Ding
Journal:  J Neurosci       Date:  2011-03-30       Impact factor: 6.167

7.  Infragranular sources of sustained local field potential responses in macaque primary visual cortex.

Authors:  Alexander Maier; Christopher J Aura; David A Leopold
Journal:  J Neurosci       Date:  2011-02-09       Impact factor: 6.167

8.  Distinct superficial and deep laminar domains of activity in the visual cortex during rest and stimulation.

Authors:  Alexander Maier; Geoffrey K Adams; Christopher Aura; David A Leopold
Journal:  Front Syst Neurosci       Date:  2010-08-10

9.  Attentional stimulus selection through selective synchronization between monkey visual areas.

Authors:  Conrado A Bosman; Jan-Mathijs Schoffelen; Nicolas Brunet; Robert Oostenveld; Andre M Bastos; Thilo Womelsdorf; Birthe Rubehn; Thomas Stieglitz; Peter De Weerd; Pascal Fries
Journal:  Neuron       Date:  2012-09-06       Impact factor: 17.173

10.  Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex.

Authors:  Timo van Kerkoerle; Matthew W Self; Bruno Dagnino; Marie-Alice Gariel-Mathis; Jasper Poort; Chris van der Togt; Pieter R Roelfsema
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-09       Impact factor: 11.205

View more
  6 in total

1.  Altered intrinsic functional connectivity of the primary visual cortex in patients with retinal vein occlusion: a resting-state fMRI study.

Authors:  Ting Su; Qing Yuan; Xu-Lin Liao; Wen-Qing Shi; Xue-Zhi Zhou; Qi Lin; You-Lan Min; Biao Li; Nan Jiang; Yi Shao
Journal:  Quant Imaging Med Surg       Date:  2020-05

2.  Attention differentially modulates multiunit activity in the lateral geniculate nucleus and V1 of macaque monkeys.

Authors:  Shraddha Shah; Marc Mancarella; Jacqueline R Hembrook-Short; Vanessa L Mock; Farran Briggs
Journal:  J Comp Neurol       Date:  2021-05-19       Impact factor: 3.028

3.  Optogenetic activation of corticogeniculate feedback stabilizes response gain and increases information coding in LGN neurons.

Authors:  Allison J Murphy; Luke Shaw; J Michael Hasse; Robbe L T Goris; Farran Briggs
Journal:  J Comput Neurosci       Date:  2020-07-06       Impact factor: 1.453

4.  Changes in Local Network Activity Approximated by Reverse Spike-Triggered Local Field Potentials Predict the Focus of Attention.

Authors:  Abdelrahman Sharafeldin; Vanessa L Mock; Stephen Meisenhelter; Jacqueline R Hembrook-Short; Farran Briggs
Journal:  Cereb Cortex Commun       Date:  2020-04-24

5.  Synchronization between frontal eye field and area V4 during free-gaze visual search.

Authors:  Ting Yan; Hui-Hui Zhou
Journal:  Zool Res       Date:  2019-09-18

6.  Estimating null and potent modes of feedforward communication in a computational model of cortical activity.

Authors:  Jean-Philippe Thivierge; Artem Pilzak
Journal:  Sci Rep       Date:  2022-01-14       Impact factor: 4.379

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.