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EDITORIAL FOCUS
So far, physiologists studying the TG (also abbreviated as Vg or NV) could rely only on the purely anatomical map of Schneider et al. (1981)
. It was also unclear if the TG has a somatotopic organization of receptive fields. Well-demarcated somatotopic maps have been documented in the SI primary somatosensory cortex ("barrels") (Woolsey and Van der Loos 1970
), in the VPM thalamic nucleus ("barelloids") (Van der Loos 1976
), and in the trigeminal brain stem nuclei ("barellettes") (Ma 1991
). It would be tempting to assume that this organization originates with a somatotopy in the TG just like retinotopy in the visual system originates in the retina. However, studies on the TG done so far have reported either no somatotopy at all or weak tendencies in that direction (reviewed in Leiser and Moxon 2006
). Because none of them was specifically aimed at mapping the TG, a possibility remained that a somatotopy exists in the TG, but is simply harder to detect.
Leiser and Moxon (2006)
recorded from 350 sensory-responsive TG cells and found a gross somatotopy, mapping different facial areas onto different ganglion zones; for example, cells innervating the eyelid were positioned more medially than cells innervating the lower lips. However, they established also that in spite of this gross somatotopy, no "barelettettes" exist in the TG and vibrissa-responsive cells are not arranged into any clear map resembling those at higher stations. A question that arises is how brain stem nuclei show clear somatotopy, whereas the TG, the cells of which project to the brain stem, does not. The answer might be simple. TG cells are pseudounipolar; they "hang on" the fibers running from the whisker follicles to the brain stem. Thus even if the fibers are organized in a topographical manner, their cell bodies are not committed to a similar organization. Relative cell location might be affected instead primarily by factors such as size and energy consumption.
In addition to clarifying several previous contradictions, the paper by Leiser and Moxon (2006)
is also an important voice in the ongoing discussion on how specialized the whiskers are in their functions. Do all the
35 large whiskers sense similar stimulus features or are they tuned to different features, like auditory hair cells are sensitive to different frequencies? Recently, Hartmann et al. (2003)
, Neimark et al. (2003)
, and Andermann et al. (2004)
have demonstrated that whiskers and TG neurons can act as frequency-specific band-pass filters. When a high-frequency (40800 Hz) stimulus is applied to the whisker, the hair either amplifies it or dampens it, depending on its own intrinsic fundamental resonance frequency. Interestingly, the fundamental resonance frequencies of different whiskers create a neat spatial pattern on the whisker pad with the larger whiskers having lower frequencies (Neimark et al. 2003
). Because vibrations at varying frequencies ("kinetic signatures") are generated when rats actively sweep their whiskers across textures (Arabzadeh et al. 2005
), it is possible that due to band-pass properties of whiskers, textures are encoded in the somatosensory system in a spatially distributed way (Neimark et al. 2003
) in addition to kinetic encoding by each whisker (Arabzadeh et al. 2005
).
Leiser and Moxon (2006)
looked for specialization in another aspect of TG responses and asked whether TG neurons contain different proportions of slowly adapting (SA) and rapidly adapting (RA) cells. Adaptation rate and directional selectivity are arguably the most prominent response features of TG neurons during passive1 touch (Zucker and Welker 1969
). When a whisker is deflected passively with a ramp-and-hold stimulus of low frequency, its response will either be transient (RA) or prolonged (SA). Leiser and Moxon (2006)
demonstrate that all TG neuron populations that receive input from the large whiskers have similar proportions of RA and SA cells and thus might be equipotent in the encoding of dynamic stimulus features. Equipotentiality is found also with active touch: whisking, touch, and whisking/touch cells distribute similarly across different whiskers (Szwed et al. 2003
, 2006
). So, are the whiskers specialized or equipotent? The answer probably depends on the task. As the neuronal encoding machinery seems to be similar across whiskers, differences would emerge mainly due to mechanical differences, such as whiskers length and rigidity.
This multifaceted view of TG encoding, confusing as it might be, is probably not the whole story. Cockroaches use their whiskers to detect air currents caused by an approaching predator (Camhi and Tom 1978
), and seals can use their whiskers in an analogous fashion in the aquatic medium (Dehnhardt et al. 2001
). Rats could use their whiskers to detect air currents caused, for example, by large predators. Knowing the winds direction would also help locating the source of odors simultaneously smelled by the rat. Another possibility is that rats can use the vibrissal system to detect loud sounds. The rat auditory system works poorly for frequencies of 50 Hz to 1 kHz (Kelly and Masterton 1977
). By resonating at their intrinsic frequencies, the whiskers could capture acoustic information in that low part of the spectrum that their auditory system fails to grasp. Verification of these tempting hypotheses should start, again, at the level of first order neurons of the TG.
1Unité de Neurosciences Intégratives et Computationnelles, Institut de Neurobiologie Alfred Fessard, Centre National de la Recherche Scientifique, Gif sur Yvette, France; and 2Department of Neurobiology, The Weizmann Institute of Science, Rehovot, Israel
Address for reprint requests and other correspondence: E. Ahissar, Dept. of Neurobiology, The Weizmann Institute of Science, 76000 Rehovot, Israel (E-mail: ehud{at}weizmann.ac.il)
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