Literature DB >> 16891418

Cortical feedback depolarization waves: a mechanism of top-down influence on early visual areas.

Per E Roland1, Akitoshi Hanazawa, Calle Undeman, David Eriksson, Tamas Tompa, Hiroyuki Nakamura, Sonata Valentiniene, Bashir Ahmed.   

Abstract

Despite the lack of direct evidence, it is generally believed that top-down signals are mediated by the abundant feedback connections from higher- to lower-order sensory areas. Here we provide direct evidence for a top-down mechanism. We stained the visual cortex of the ferret with a voltage-sensitive dye and presented a short-duration contrast square. This elicited an initial feedforward and lateral spreading depolarization at the square representation in areas 17 and 18. After a delay, a broad feedback wave (FBW) of neuron peak depolarization traveled from areas 21 and 19 toward areas 18 and 17. In areas 18 and 17, the FBW contributed the peak depolarization of dendrites of the neurons representing the square, after which the neurons decreased their depolarization and firing. Thereafter, the peak depolarization surrounded the figure representation over most of areas 17 and 18 representing the background. Thus, the FBW is an example of a well behaved long-range communication from higher-order visual areas to areas 18 and 17, collectively addressing very large populations of neurons representing the visual scene. Through local interaction with feedforward and lateral spreading depolarization, the FBW differentially activates neurons representing the object and neurons representing the background.

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Year:  2006        PMID: 16891418      PMCID: PMC1531644          DOI: 10.1073/pnas.0604925103

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  30 in total

1.  Optical recording of cortical activity after in vitro perfusion of cerebral arteries with a voltage-sensitive dye.

Authors:  M de Curtis; I Takashima; T Iijima
Journal:  Brain Res       Date:  1999-08-07       Impact factor: 3.252

2.  The distribution and morphology of corticogeniculate axons in ferrets.

Authors:  A Claps; V A Casagrande
Journal:  Brain Res       Date:  1990-10-15       Impact factor: 3.252

3.  Feedback connections to ferret striate cortex: direct evidence for visuotopic convergence of feedback inputs.

Authors:  Gina Cantone; Jun Xiao; Nardia McFarlane; Jonathan B Levitt
Journal:  J Comp Neurol       Date:  2005-07-04       Impact factor: 3.215

4.  The influence of contextual stimuli on the orientation selectivity of cells in primary visual cortex of the cat.

Authors:  C D Gilbert; T N Wiesel
Journal:  Vision Res       Date:  1990       Impact factor: 1.886

5.  Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses.

Authors:  A Arieli; A Sterkin; A Grinvald; A Aertsen
Journal:  Science       Date:  1996-09-27       Impact factor: 47.728

6.  A spatiotemporal profile of visual system activation revealed by current source density analysis in the awake macaque.

Authors:  C E Schroeder; A D Mehta; S J Givre
Journal:  Cereb Cortex       Date:  1998 Oct-Nov       Impact factor: 5.357

7.  Distributed representation of vibrissa movement in the upper layers of somatosensory cortex revealed with voltage-sensitive dyes.

Authors:  D Kleinfeld; K R Delaney
Journal:  J Comp Neurol       Date:  1996-11-04       Impact factor: 3.215

8.  Cortical point-spread function and long-range lateral interactions revealed by real-time optical imaging of macaque monkey primary visual cortex.

Authors:  A Grinvald; E E Lieke; R D Frostig; R Hildesheim
Journal:  J Neurosci       Date:  1994-05       Impact factor: 6.167

9.  The neurophysiology of figure-ground segregation in primary visual cortex.

Authors:  V A Lamme
Journal:  J Neurosci       Date:  1995-02       Impact factor: 6.167

10.  Synaptic physiology of horizontal afferents to layer I in slices of rat SI neocortex.

Authors:  L J Cauller; B W Connors
Journal:  J Neurosci       Date:  1994-02       Impact factor: 6.167

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  63 in total

1.  Generalization of learning by synchronous waves: from perceptual organization to invariant organization.

Authors:  David M Alexander; Chris Trengove; Phillip E Sheridan; Cees van Leeuwen
Journal:  Cogn Neurodyn       Date:  2010-12-10       Impact factor: 5.082

2.  Internal curvature signal and noise in low- and high-level vision.

Authors:  Timothy D Sweeny; Marcia Grabowecky; Yee Joon Kim; Satoru Suzuki
Journal:  J Neurophysiol       Date:  2011-01-05       Impact factor: 2.714

Review 3.  Packet-based communication in the cortex.

Authors:  Artur Luczak; Bruce L McNaughton; Kenneth D Harris
Journal:  Nat Rev Neurosci       Date:  2015-10-28       Impact factor: 34.870

4.  Compression and reflection of visually evoked cortical waves.

Authors:  Weifeng Xu; Xiaoying Huang; Kentaroh Takagaki; Jian-young Wu
Journal:  Neuron       Date:  2007-07-05       Impact factor: 17.173

5.  Crossmodal propagation of sensory-evoked and spontaneous activity in the rat neocortex.

Authors:  Kentaroh Takagaki; Chuan Zhang; Jian-Young Wu; Michael Thomas Lippert
Journal:  Neurosci Lett       Date:  2007-12-15       Impact factor: 3.046

Review 6.  Propagating waves of activity in the neocortex: what they are, what they do.

Authors:  Jian-Young Wu
Journal:  Neuroscientist       Date:  2008-10       Impact factor: 7.519

7.  Local generation and propagation of ripples along the septotemporal axis of the hippocampus.

Authors:  Jagdish Patel; Erik W Schomburg; Antal Berényi; Shigeyoshi Fujisawa; György Buzsáki
Journal:  J Neurosci       Date:  2013-10-23       Impact factor: 6.167

8.  Characteristic sounds facilitate visual search.

Authors:  Lucica Iordanescu; Emmanuel Guzman-Martinez; Marcia Grabowecky; Satoru Suzuki
Journal:  Psychon Bull Rev       Date:  2008-06

Review 9.  Anatomical insights into the interaction of emotion and cognition in the prefrontal cortex.

Authors:  Rebecca D Ray; David H Zald
Journal:  Neurosci Biobehav Rev       Date:  2011-08-25       Impact factor: 8.989

10.  Long-range parallel processing and local recurrent activity in the visual cortex of the mouse.

Authors:  Pierre-Olivier Polack; Diego Contreras
Journal:  J Neurosci       Date:  2012-08-08       Impact factor: 6.167

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