Physiology of the Vestibular Organs

Author(s):  
Jay M. Goldberg ◽  
Victor J. Wilson ◽  
Kathleen E. Cullen ◽  
Dora E. Angelaki ◽  
Dianne M. Broussard ◽  
...  
Keyword(s):  
2004 ◽  
Vol 96 (6) ◽  
pp. 2301-2316 ◽  
Author(s):  
Richard C. Fitzpatrick ◽  
Brian L. Day

Galvanic vestibular stimulation (GVS) is a simple, safe, and specific way to elicit vestibular reflexes. Yet, despite a long history, it has only recently found popularity as a research tool and is rarely used clinically. The obstacle to advancing and exploiting GVS is that we cannot interpret the evoked responses with certainty because we do not understand how the stimulus acts as an input to the system. This paper examines the electrophysiology and anatomy of the vestibular organs and the effects of GVS on human balance control and develops a model that explains the observed balance responses. These responses are large and highly organized over all body segments and adapt to postural and balance requirements. To achieve this, neurons in the vestibular nuclei receive convergent signals from all vestibular receptors and somatosensory and cortical inputs. GVS sway responses are affected by other sources of information about balance but can appear as the sum of otolithic and semicircular canal responses. Electrophysiological studies showing similar activation of primary afferents from the otolith organs and canals and their convergence in the vestibular nuclei support this. On the basis of the morphology of the cristae and the alignment of the semicircular canals in the skull, rotational vectors calculated for every mode of GVS agree with the observed sway. However, vector summation of signals from all utricular afferents does not explain the observed sway. Thus we propose the hypothesis that the otolithic component of the balance response originates from only the pars medialis of the utricular macula.


2014 ◽  
Vol 68 (5) ◽  
pp. 227-232 ◽  
Author(s):  
Anna Jałocha-Kaczka ◽  
Piotr Pietkiewicz ◽  
Hanna Zielińska-Bliźniewska ◽  
Jarosław Miłoński ◽  
Jurek Olszewski

Development ◽  
1998 ◽  
Vol 125 (1) ◽  
pp. 33-39 ◽  
Author(s):  
T. Hadrys ◽  
T. Braun ◽  
S. Rinkwitz-Brandt ◽  
H.H. Arnold ◽  
E. Bober

The inner ear develops from the otic vesicle, a one-cell-thick epithelium, which eventually transforms into highly complex structures including the sensory organs for balance (vestibulum) and hearing (cochlea). Several mouse inner ear mutations with hearing and balance defects have been described but for most the underlying genes have not been identified, for example, the genes controlling the development of the vestibular organs. Here, we report the inactivation of the homeobox gene, Nkx5-1, by homologous recombination in mice. This gene is expressed in vestibular structures throughout inner ear development. Mice carrying the Nkx5-1 null mutation exhibit behavioural abnormalities that resemble the typical hyperactivity and circling movements of the shaker/waltzer type mutants. The balance defect correlates with severe malformations of the vestibular organ in Nkx5-1(−/−) mutants, which fail to develop the semicircular canals. Nkx5-1 is the first ear-specific molecule identified to play a crucial role in the formation of the mammalian vestibular system.


2011 ◽  
pp. 70-115
Author(s):  
Jay M. Goldberg ◽  
Victor J. Wilson ◽  
Kathleen E. Cullen ◽  
Dora E. Angelaki ◽  
Dianne M. Broussard ◽  
...  
Keyword(s):  

2014 ◽  
Vol 558 ◽  
pp. 180-185 ◽  
Author(s):  
Jin Ok Lee ◽  
Seong-Ho Park ◽  
Hyo Jung Kim ◽  
Min Sun Kim ◽  
Byung Rim Park ◽  
...  

Author(s):  
Carlos F. Rodri´guez ◽  
Nicola´s Ochoa Lleras

This article presents a methodology for the definition of vehicle simulator motion cues based on the biomechanical response of the vestibular organs to motion stimuli. The proposed method begins with an extension of the human motion perception model which includes the simulator kinematics. The goal of this procedure is to define the motion cues so that they reproduce vestibular sensor signals matching those of a reference motion, in terms of the Sensor-State vector. This vector is estimated by using dynamic models of the vestibular organs’ biomechanics. A definition of equivalent motion based on properties of these models is introduced. This definition allows for the proposal of a strategy to imitate the vestibular sensor signals. The methodology has been tested in simulation with a 3-dof planar motion simulator, resulting in satisfactory results. Finally, the potential of the proposed methodology is discussed.


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