Literature DB >> 10449057

Anatomical loops and their electrical dynamics in relation to whisking by rat.

D Kleinfeld1, R W Berg, S M O'Connor.   

Abstract

An accumulation of anatomical, behavioral, and electrophysiological evidence allows us to identify the neuronal circuitry that is involved with vibrissa-mediated sensation and the control of rhythmic vibrissa movement. Anatomical evidence points to a multiplicity of closed sensorimotor loops, while electrophysiological data delineate the flow of electrical signals in these pathways. These loops process sensory input from the vibrissae and send projections to direct vibrissa movement, starting at the level of the hindbrain and proceeding toward loops that involve multiple structures in the forebrain. The nature of the vibrissa-related electrical signals in behaving animals has been studied extensively at the level of neocortical loops. Two types of spike signal are observed that serve as a reference of vibrissa motion: a fast signal that correlates with the relative phase of the vibrissae within a whisk cycle and a slow signal that correlates with the amplitude, and possibly the set-point, of the vibrissae during a whisk. Both signals are observed in vibrissa primary sensory (S1) cortex, and in some cases they are sufficiently robust to allow vibrissa position to be accurately estimated from the spike train of a single neuron. Unlike the case for S1 cortex, only the slow signal has been observed in vibrissa primary motor (M1) cortex. The control capabilities of M1 cortex were estimated from experiments with anesthetized animals in which progressive areas along the vibrissa motor branch were microstimulated with rhythmically applied currents. The motion of the vibrissae followed stimulation of M1 cortex only for rates that were well below the frequency of rhythmic whisking; in contrast, the vibrissae followed stimulation of the facial nucleus, whose cells directly drive the vibrissae, for rates above that of whisking. In toto, the evidence implies that there is fast signaling from the facial nucleus, through the mystacial pad and the vibrissae and up through sensory cortex, but only slow signaling at the level of the motor cortex and down through the superior colliculus to the facial nucleus. The transformation from fast sensory signals to slow motor control is an unresolved issue. On the other hand, there is a candidate scheme to understand how the fast reference of vibrissa motion in the whisk cycle may be used to decode the angle of the vibrissae upon their contact with an object. We discuss a circuit in which servo mechanisms are used to determine the angle of contact relative to the preferred phase of the fast reference signals. Support for this scheme comes from results with anesthetized animals on the frequency and phase entrainment of intrinsic neuronal oscillators in S1 cortex. A prediction based on this scheme is that the output from a decoder circuit is maximal when the angle of contact differs from the preferred phase of a fast regerence signal. In contrast, for correlation-based schemes the output is maximal when the angle of contact equals the preferred phase.

Entities:  

Mesh:

Year:  1999        PMID: 10449057     DOI: 10.1080/08990229970528

Source DB:  PubMed          Journal:  Somatosens Mot Res        ISSN: 0899-0220            Impact factor:   1.111


  65 in total

1.  Thalamic-evoked synaptic interactions in barrel cortex revealed by optical imaging.

Authors:  N Laaris; G C Carlson; A Keller
Journal:  J Neurosci       Date:  2000-02-15       Impact factor: 6.167

2.  Functional circuitry involved in the regulation of whisker movements.

Authors:  Alexis M Hattox; Catherine A Priest; Asaf Keller
Journal:  J Comp Neurol       Date:  2002-01-14       Impact factor: 3.215

Review 3.  Neuronal basis for object location in the vibrissa scanning sensorimotor system.

Authors:  David Kleinfeld; Martin Deschênes
Journal:  Neuron       Date:  2011-11-03       Impact factor: 17.173

4.  Whisker deafferentation and rodent whisking patterns: behavioral evidence for a central pattern generator.

Authors:  P Gao; R Bermejo; H P Zeigler
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

5.  Goal-directed whisking increases phase-locking between vibrissa movement and electrical activity in primary sensory cortex in rat.

Authors:  Karunesh Ganguly; David Kleinfeld
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-05       Impact factor: 11.205

Review 6.  Biomimetic vibrissal sensing for robots.

Authors:  Martin J Pearson; Ben Mitchinson; J Charles Sullivan; Anthony G Pipe; Tony J Prescott
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-11-12       Impact factor: 6.237

7.  Encoding of whisker input by cerebellar Purkinje cells.

Authors:  Laurens W J Bosman; Sebastiaan K E Koekkoek; Jöel Shapiro; Bianca F M Rijken; Froukje Zandstra; Barry van der Ende; Cullen B Owens; Jan-Willem Potters; Jornt R de Gruijl; Tom J H Ruigrok; Chris I De Zeeuw
Journal:  J Physiol       Date:  2010-10-01       Impact factor: 5.182

8.  Empirically inspired simulated electro-mechanical model of the rat mystacial follicle-sinus complex.

Authors:  Ben Mitchinson; Kevin N Gurney; Peter Redgrave; Chris Melhuish; Anthony G Pipe; Martin Pearson; Ian Gilhespy; Tony J Prescott
Journal:  Proc Biol Sci       Date:  2004-12-07       Impact factor: 5.349

9.  The brainstem reticular formation is a small-world, not scale-free, network.

Authors:  M D Humphries; K Gurney; T J Prescott
Journal:  Proc Biol Sci       Date:  2006-02-22       Impact factor: 5.349

10.  Directional functional coupling of cerebral rhythms between anterior cingulate and dorsolateral prefrontal areas during rare stimuli: a directed transfer function analysis of human depth EEG signal.

Authors:  Milan Brázdil; Claudio Babiloni; Robert Roman; Pavel Daniel; Martin Bares; Ivan Rektor; Fabrizio Eusebi; Paolo Maria Rossini; Fabrizio Vecchio
Journal:  Hum Brain Mapp       Date:  2009-01       Impact factor: 5.038

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.