|
|
||||||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APPETITE, OBESITY, DIGESTION, AND METABOLISM
1Department of Anatomy, Southern Illinois University School of Medicine, Carbondale, IL; 2Department of Oral and Maxillofacial Surgery, Harbin Medical University School of Dentistry, Harbin, Heilongjiang, China; and 3Department of Physiology and Neuroscience, Kangnung National University College of Dentistry, Kangnung, Kangwon, Korea
Submitted 29 October 2007 ; accepted in final form 7 December 2007
| ABSTRACT |
|---|
|
|
|---|
gustation; chorda tympani nerve; the parabrachial nuclei; electrophysiology
Another feature of the gustatory system is the convergence between cranial nerves responsible for taste information processing. Sucrose preference tests in the rat have shown that bilateral CT section marginally attenuates the rats' responsiveness. Sectioning of the CT nerves combined with lesions of the nasoincisor ducts (NID), which are innervated by the greater superficial petrosal (GSP) branch of the VIIth nerve, had greater effect (44). This synergistic effect likely represents the central convergence of primary afferent fibers from the GSP and CT, since NST neurons are responsive to stimulation of both receptor subpopulations on the anterior tongue and those associated with the NID (48). In rats, some NST neurons responded to taste stimulation of receptor subpopulations innervated by both CT and glossopharyngeal (IXth) nerves (47). In hamsters, 64% of NST neurons are responsive to stimulation of receptor subpopulations located both in anterior tongue and posterior oral cavity (45).
The convergence of gustatory input from different receptor subpopulations on the NST taste-responsive neurons is presented as a mechanism to explain "taste constancy", in which patients with unilateral CT nerve damage often report no subjective change in their taste experience. Halpern and Nelson (15) hypothesized a "release of inhibition" theory that emphasizes inhibitory interactions between inputs from the CT and IXth nerves, and that the loss of taste information from the CT is compensated by a release of inhibition on the IXth nerve input on NST taste neurons. In contrast, Dinkins and Travers (10) did not observe the compensatory increase in response to the stimulation of the palatal or posterior tongue taste stimulation during the anesthetization of CT nerve in rats.
Whereas the investigations of taste convergence in the NST have been focused on convergence of taste input from different subpopulations of receptors or gustatory afferents, the possibility of convergent input on gustatory neurons in the NST from taste receptor subpopulations of the contralateral side of the tongue has never been investigated in the rodent. The possibility of convergence from the contralateral side was suggested in a clinical study. This study, in which patients with left insula damage experienced impairment of taste quality identification on both the left and right sides of the tongue, suggests that gustatory information from both sides of the tongue converges in the brain (32). In a recent tract-tracing study, Whitehead and colleagues (50) demonstrated reciprocal neural connections between bilateral rostral NST, suggesting that taste information from right and left sides of the tongue may converge onto single NST neurons through the NST-NST connectivity. Here, we investigated whether taste neurons in the NST receive neural input from the contralateral CT nerve, and whether this pathway carries taste information.
| MATERIALS AND METHODS |
|---|
|
|
|---|
To approach the CT nerve, each animal was tracheotomized and mounted in a stereotaxic instrument (Narishige SR-6N) with a nontraumatic head holder. The head of the animal was tilted
80° away from the experimenter to reveal the external acoustic meatus. After enlarging the external acoustic meatus, the tympanic membrane was punctured with a number 5 forceps. The caudal portion of the bony meatus was removed carefully without damaging the CT nerve. At this point, the exposed CT nerve is passing behind the malleus. The malleus then was removed, and the electrode was gently hooked on the CT nerve and fixed in place with dental cement on the skull near the ear, as described by others (1, 42).
After positioning the CT nerve-stimulating electrode, the animal was mounted in the stereotaxic instrument with the snout downward 27° from horizontal to straighten the brainstem and minimize brain movement associated with breathing. A sagittal skin incision was made along the midline overlying the posterior skull, and a portion of the occipital bone just dorsal to the foramen magnum was removed to reveal the cerebellum. The dura covering the cerebellum was excised, and the posterior portion of the cerebellum was aspirated for 5–6 mm anterior to the obex, allowing direct access to the NST and parabrachial nuclei (PbN). Body temperature was maintained at 37 ± 1°C with an electric heating pad.
Experimental scheme for single unit recording and electrical stimulation. Three types of electrodes were used here: a glass micropipette for recording from the NST, a recording/injecting pipette assembly for locating gustatory area and injecting chemicals into the contralateral NST or PbN, and a hook-shaped parallel bipolar electrode for stimulating the contralateral CT nerve. The stimulating and recording procedures were as follows: 1) isolating taste neurons in the NST and recording responses to the four taste stimuli; 2) stimulating the contralateral CT and recording the changes of the neural activity in response to the stimulation; 3) in a subset of NST taste neurons that responded to the contralateral CT stimulation, the procedure in 2) was repeated following injection of lidocaine into the contralateral NST or PbN and again 60–120 min later following injection of saline; and 4) in a subset of NST taste neurons, the responses to the four taste stimuli were recorded before and after the injection of lidocaine, and after saline into the contralateral NST. The lidocaine and saline injections were separated by 60–120 min.
Taste stimulation and classification of taste neurons.
Single-barrel glass micropipettes (tip diameter = 1–2 µm, resistance = 5–7 M
) filled with 2% (wt/vol) solution of Chicago Sky Blue dye (Sigma, St. Louis, MO) in 0.5 M sodium acetate were used for extracellular single-unit recording of action potentials from the gustatory NST contralateral to the CT nerve-stimulating side. The mean coordinates for the NST recording were 2.01 ± 0.12 mm anterior to the obex, 1.28 ± 0.09 mm lateral to the midline, and between 0.56 and 1.12 mm ventral to the surface of the brainstem. Extracellular action potentials were amplified with a band-pass of 15–5,000 Hz (NeuroLog, Digitimer, Hertfordshire, United Kingdom), discriminated with a dual time-amplitude window discriminator (Bak DDIS-1, Bak Electronics, Germantown, MD), displayed on oscilloscopes, and monitored with an audio monitor. A Dell Pentium 4 XPS laptop computer configured with a CED Power1401 interface board and Spike2 software (Cambridge Electronic Design, Cambridge, United Kingdom) controlled taste stimulus delivery and online data acquisition and analysis.
Taste responses of NST and PbN neurons were initially identified by a change in neural activity associated with the application of electrical shock (
40 µA, 500-ms duration at 1/3 Hz) to the anterior tongue through a parallel platinum electrode (50 µm, 2-mm separation, Fisher Scientific, Pittsburgh, PA). It has been reported that anodal current with this intensity drives gustatory fibers of the CT nerve (38). After that, the taste responsiveness of a neuron was confirmed by its response to chemical stimulation of the anterior tongue. Taste stimuli were 32 mM sodium chloride (NaCl), 32 mM sucrose, 32 mM quinine hydrochloride (QHCl), and 3.2 mM citric acid. These concentrations evoke roughly equal multi-unit responses in the hamster NST (11). These taste solutions were delivered by a gravity-flow system composed of a computer-controlled two-way solenoid-operated valve connected via tubing to a distilled-water rinse reservoir and a stimulus funnel. The stimulation sequence, during which the computer acquired data, was a continuous flow initiated by the delivery of distilled water for 10 s, followed by 10 s of stimulus, followed by 10 s of distilled-water rinse. The flow rate was 2 ml/s. After each tastant, the tongue was rinsed with distilled water (>50 ml), and individual stimulations were separated by at least 2 min to avoid adaptation effects (37).
Classification of taste neurons by their responsiveness to the contralateral CT stimulation. After each NST neuron was characterized for its taste response profile, rectangular pulses (0.5 ms duration, 0.15 mA intensity, 1/3Hz) were delivered to the CT nerve through the stimulating electrode from an isolated stimulator (Grass S88, Grass Instruments, Quincy, MA) to examine whether the neuron recorded was responsive to the CT nerve stimulation. A hook-shaped parallel bipolar electrode, which was constructed with two Teflon-coated Platinum-Iridium wires (bare size 75 µm, with Teflon coating 113 µm diameter, A-M systems, CA), was used to electrically stimulate the CT nerve. The insulation coating had been removed at the tip for 500 µm, and two tips were separated by 400 µm. A peristimulus time histogram (PSTH) with a bin size of 1 ms was created from data acquired on each NST cell in response to 50–200 stimulus pulses delivered to the CT nerve-stimulating electrode.
To test whether local anesthetization of gustatory PbN or NST ipsilateral to the CT nerve-stimulating side affect the CT-evoked activation of NST taste cells, experiments involving microinjection of lidocaine into PbN or NST were performed. The NST or PbN was located by physiological guidance with a combined recording/injecting pipette assembly. The recording/injecting pipette assembly was constructed of a single glass recording micropipette, which was glued to a double-barrel glass micropipette that had been pulled and then broken to a tip diameter of 30 µm. This configuration is constructed so that the tip of the recording micropipette extends 1 mm beyond the tip of the drug injection pipette. The two barrels of the microinjection pipette were loaded with 0.5 µl of 1% lidocaine and physiological saline, respectively. It was reported that an injection of 0.5 µl of 1–4% lidocaine into the medulla or spinal cord spreads 435–500 µm from the cannula tip (35, 36). The mean coordinates for the contralateral PbN recording were 4.0 ± 0.11 mm anterior to the obex and 1.4 ± 0.07 mm lateral to the midline. The mean coordinates for the contralateral NST recordings were 2.04 ± 0.10 mm anterior to the obex, 1.23 ± 0.11 mm lateral to the midline, and between 0.62 and 0.94 mm ventral to the dorsal surface of the brainstem. In these experiments, after a taste neuron was isolated in the NST or the PbN, the recording/injecting pipette assembly was further advanced 1 mm to place the tip of the injecting pipette to where the NST or PbN neuron was recorded. After confirming that a taste-responsive NST cell was responsive to the contralateral CT nerve stimulation, a dose of 0.5 µl lidocaine or the same volume of physiological saline was injected into the contralateral NST or PbN (i.e., ipsilateral to CT nerve-stimulating side). The lidocaine and physiological saline injections were separated by 90- to 120-min intervals. PSTHs were created from data acquired on each NST cell in response to 50–200 CT nerve stimulus pulses following microinjection of lidocaine or saline into the NST or PbN.
Histology. At the end of each experiment, the last recording site of the day was marked by passing a 10-µA cathodal current through the recording electrode for 10 min (5 s ON-OFF) to deposit a spot of Chicago Sky Blue dye. The hamster was then given a lethal overdose of urethane and perfused through the heart with 4% formalin containing 3% potassium ferrocyanide and ferricyanide. Brains were removed, post-fixed, frozen sectioned (40 µm) in the coronal plane, and stained with Neutral Red. The recording sites were located microscopically and plotted on standard atlas sections (27).
Data analysis.
The responses of each cell to taste stimulation of the tongue were accumulated over three consecutive time periods during 1) 10 s of distilled water prerinse just prior to the stimulus, 2) 10 s of stimulus flow, and 3) 10 s of distilled water rinse just after the stimulus. The net taste response was calculated as the mean number of action potentials (impulses/s) during the first 5 s of chemical stimulation minus the mean number of discharge spikes during the 5-s distilled water prerinse. The size of the time bin used in the analysis of taste responses was 1 s. A taste response was defined as effective if it was
2.0 SD above the baseline discharge, which was calculated from the firing activity during the 5-s distilled water prerinse before each of four taste stimuli. Responses are reported as means ± SE.
For orthodromic responses of NST cells to electrical stimulation of the contralateral CT nerve, an individual PSTH, which has a time span of 1 s of 1-ms bins, was analyzed. A baseline period was defined as the 200 ms preceding stimulation; the mean ± SD of the number of spikes/1-ms bin during this baseline period was determined. The accumulated spikes during the 800 ms after stimulation were analyzed to determine excitatory or inhibitory epochs. An excitatory effect of the contralateral CT nerve stimulation was defined as an epoch of at least five consecutive bins with a mean value
2 SD above the baseline mean, which defines a mean response with a probability of <0.05 (6). The response latency of the excitatory response was defined as the time at which the firing rate became
2 SD above the baseline mean after stimulation. Inhibitory responses were defined as those with at least 20 consecutive bins with a mean <50% of baseline firing rate. Because of the slow rates of spontaneous firing of many NST cells and their asynchronous discharge patterns, a criterion for inhibition based on variance is not practical; using 20 bins defines the inhibitory epoch as a relatively sustained decrease in firing rate (6). The duration of excitability of an orthodromic response was determined by the following procedures. After a PSTH was created following the contralateral CT stimulation, the inhibitory or excitatory epoch was determined on individual PSTH. An individual PSTH has 1,000 bins over a 1-s period. The onset and the termination of response epoch was determined in millisecond scale by enlarging the x-axis (time) of a PSTH by means of CED software. The duration of excitability was defined as the time from CT stimulation (0 s) to the termination of excitatory epoch minus the latency.
The entropy (H) of each neuron, which is a measure of its breadth of responsiveness, was calculated via excitatory components of responses to four standard taste stimuli by the following formula:
![]() |
where H = breadth of responsiveness, 1.661 is a scaling constant, and pi is the proportional response to each of the n component. H ranges from 0.0 for a cell that responds exclusively to one stimulus to 1.0 for a cell responding equally to all four (40).
Each NST cell was categorized as either a CT-responsive neuron if it was activated by contralateral CT nerve stimulation, or a non-CT-responsive neuron otherwise. Within those two categories, the cells were further characterized by their best taste stimulus, which produced the greatest response.
Univariate ANOVA was used to compare differences in mean firing rates to taste stimuli and in entropies between CT-responsive and non-CT-responsive neurons across taste stimuli and best stimulus. The baseline activities of the CT-responsive and non-CT-responsive groups were compared via t-tests. Comparison of the number of neurons in each category was made via the chi square test. All means were reported with SE unless noted otherwise.
| RESULTS |
|---|
|
|
|---|
|
Taste response characteristics of NST neurons. A total of 95 taste neurons were isolated from the NST and tested for their responsiveness to the four basic taste stimuli: 46 from CT-responsive and 49 from non-CT-responsive groups. A representative taste trial of one NST cell to gustatory stimuli is shown in Fig. 2.
|
|
|
2 = 1.126, df = 3, P = 0.771). The 46 CT-responsive neurons were composed of 13 NaCl-best, 10 sucrose-best, 10 citric acid-best, and 13 QHCl-best cells. This distribution among the four best-stimulus groups was not different from that of non-CT-responsive taste neurons (
2 = 9.179, df = 3, P = 0.027). These best-stimulus categories are indicated in Fig. 3. The black and gray bars indicate taste responses of the CT-responsive neurons, whereas open bars represent those of non-CT-responsive cells. ANOVA analysis of firing rate to each of four taste stimuli of the CT-responsive (including both excitatory and inhibitory responses) and nonresponsive NST neurons demonstrated that overall taste responses of nonresponsive neurons was greater than CT-responsive neurons (F[1,372] = 5.415, P < 0.05). Four basic taste stimuli also produced responses that differed from one another (F[3,372] = 4.547, P < 0.005), but there was no significant interaction between CT-responsiveness and taste stimulus (F[3.372] = 0.309, P = 0.819; Fig. 4A). A comparison by stimulus, however, did not show a significant difference between the CT-responsive and non-CT-responsive groups; the difference in the response to citric acid was greatest but insignificant (P = 0.06). The baseline activity was not different between these two groups (t = 0.751, df = 93, P = 0.455). The mean firing to each taste stimulus and mean baseline firing of CT-responsive and non-CT-responsive NST neurons is depicted in Fig. 4A.
The breadth of responsiveness (entropy) of each NST neuron was obtained by means of excitatory components of taste response to four taste stimuli. The mean entropies in each category and CT-responsiveness are described in Fig. 4B. The mean entropy (0.644 ± 0.032) of CT-responsive neurons was not different from that (0.672 ± 0.034) of nonresponsive cells (F[1,87] = 0.019, P = 0.889). At these relatively equally effective stimulus concentrations, NaCl-best cells were the most narrowly tuned (H = 0.578 ± 0.066), and citric acid-best cells were the most broadly tuned (H = 0.770 ± 0.025). The differences in entropy among the four best-stimulus groups were statistically significant (F[3,87] = 3.586, P < 0.05).
Effect of the contralateral CT nerve stimulation on the NST taste neurons. A total of 95 taste neurons were recorded in the NST, and the effects of the contralateral CT nerve stimulation were examined. Of the 95 neurons recorded, 46 cells were activated; 42 cells were excited and four cells, which were all QHCl-best, were inhibited following contralateral CT nerve stimulation. These neurons were classified as CT-responsive neurons and the remaining 49 as non-CT-responsive neurons. Examples of four NST neurons that were activated after the contralateral CT nerve stimulation are shown in Figs. 5 and 6. The superimposed oscilloscope traces from two NST cells in Fig. 5 illustrate the examples of the variable-latency action potentials evoked after the contralateral CT stimulation; the cell in A showed short onset response latency (24 ms), and the cell in B showed long onset response latency (44 ms). The PSTH and corresponding raster plots of the responses of two additional NST cells after the contralateral CT stimulation are depicted in Fig. 6, showing excitatory (A) and inhibitory (B) responses, respectively.
|
|
|
|
|
|
|
| DISCUSSION |
|---|
|
|
|---|
Bilateral taste convergence on the NST. In the present study, we demonstrated that taste neurons in the NST also receive gustatory input from the contralateral CT. Stimulation of the contralateral CT activated 46 of 95 NST neurons; 42 cells were excited and four cells were inhibited, indicating that nearly 50% of taste neurons in the NST receive neural input from both sides of the tongue. Whitehead et al. (50) reported that following microinjection of cholera toxin B into the rostral NST, many labeled neurons and axons were identified in the contralateral rostral NST, indicating that there are reciprocal neural connections between the rostral NST. In a recent investigation, we demonstrated that stimulation of the NST activates 70% of taste neurons in the contralateral NST in the hamster (5). These studies support our results that taste neurons in the NST receive gustatory information from both sides of the tongue.
Convergence is a common scheme in sensory pathways. Recent studies have provided evidence of convergence of descending projections from nuclei in the gustatory forebrain, e.g., the lateral hypothalamus (LH) and central nucleus of the amygdala (CeA) (6, 8, 22), as well as convergence of ascending inputs from subpopulations of taste receptors (45, 47, 48) onto neurons of the NST in rats and hamsters. Here, we have demonstrated the presence of another converging scheme of the gustatory system: the convergence of gustatory information from both sides of the tongue onto NST neurons. The bilateral convergence of taste seems to occur only centrally, because there is no evidence for overlap between the taste buds of the anterior tongue on right and left sides (3).
The possible neural pathway of peripheral gustatory input to the neurons in the contralateral NST. It has been very well established that taste information from either side of the tongue is sent to the ipsilateral NST. The main CT terminals are distributed most densely in the rostral pole of the ipsilateral NST in the rat (16) and in the hamster (51). We hypothesized that contralateral taste information to the NST crosses from the contralateral CT via the contralateral NST. To prove our hypothesis we anesthetized the contralateral NST. Microinjection of lidocaine into the contralateral NST completely blocked the activation of NST neurons induced by contralateral CT stimulation (Fig. 8). These results indicate that taste information from one side of the tongue is sent to the same side of the NST and then to the contralateral NST.
It is known that gustatory information from the NST is further sent to the PbN (28, 46). Electrophysiological studies have shown that 80% of the NST taste neurons are projected to the ipsilateral PbN in the hamster (7). Taste neurons in the NST also receive centrifugal input from the PbN, the CeA, the LH, and the insular cortex (7, 8, 22, 39). There is a possibility that the neural pathway to the NST from the contralateral side of the tongue passes by way of the contralateral CT through the contralateral NST and continues to the contralateral PbN or beyond before crossing over as centrifugal projection. However, anesthetization of PbN did not affect the activation of the NST taste neurons induced by contralateral CT stimulation (Fig. 9), indicating that the pathway does not involve the gustatory nuclei beyond the NST. This conclusion has also been supported by other studies. It has been reported that the mean response latency of the rat NST neurons following stimulation of the ipsilateral CT nerve was 7.2 ± 4.3 ms (30). The mean onset latencies of antidromic and orthodromic activation of NST taste neurons following ipsilateral PbN stimulation were 4.1 ± 0.4 ms or 4.7 ± 0.4 and 11.3 ± 0.7 ms, respectively (5, 7). In addition, the mean orthodromic response latency of NST neurons following the contralateral NST stimulation was 22.6 ± 0.7 ms in the hamster (5). The mean response latency (33.8 ± 2.4 ms) of the NST neurons following the contralateral CT stimulation was shorter than the sum of the total latency, the response latency of NST cells after the CT stimulation, the latencies (antidromic invasion and orthodromic responses) of the NST neurons following the PbN stimulation, and the response latency of the NST cells after the contralateral NST stimulation. These data also support our conclusion that this neural pathway does not involve the PbN or other forebrain gustatory nuclei.
The NST neurons that were activated by contralateral CT stimulation were categorized into two groups based upon their response latencies: the neurons with a latency shorter than 40 ms (short latency group), and those with a latency longer than 40 ms (long latency group). The spread of the evoked spikes in the short latency group was significantly narrower than that of the cells in the long latency group. One of the explanations for the latency difference is that it may be due to different CT fiber types. Earlier studies have demonstrated two types of afferent CT fibers in rats (12, 24) and in hamsters (18): the myelinated and unmyelinated fibers, with associated differences in conduction velocities (34). In the hamster, 67% of the fibers within the CT, which is made up of both myelinated and unmyelinated fibers (18), are sensory. However, the difference in conduction velocity (response latency) of different CT fiber types cannot explain the significantly different spike distribution of the NST neurons evoked by contralateral CT stimulation. Therefore, the differences in the response latency may suggest diversity in neural connections between the bilateral NST. The wider distribution of the evoked spikes may suggest there are more synaptic contacts with a more detoured course and/or differences in fiber size between bilateral NST. Further investigations are necessary to determine the underlying mechanisms responsible for these differences.
The neural pathway to NST neurons from the contralateral side of the tongue contributes to gustatory responses. It is known that the CT is not purely gustatory. The CT not only carries gustatory information but also conveys mechanical and thermal information from the anterior tongue. It was reported that many single CT fibers respond to both gustatory and thermal stimulation of the tongue, both in rats and hamsters (31). Some single CT nerve fibers also respond to taste, mechanical, or both stimuli in the rat (23). To examine whether this pathway influences taste responses, we compared taste responses of the NST neurons that responded to CT stimulation, before and after anesthetization of the contralateral NST. Lidocaine blockage of the contralateral NST reversibly reduced taste responses. Although we could not exclude some other components, such as thermal and mechanical/tactile inputs, being involved in the reduced taste responses, these data suggest that the projection to the NST from the contralateral CT carries taste information (Fig. 10). The contralateral NST anesthetization procedures reduced, but did not totally block, the taste responses of the NST neurons. This indicates that taste information is also flowing to the NST from the periphery through the unanesthetized side.
Although we could not test taste modulation effect, we observed four NST taste neurons in which activity was suppressed by contralateral CT stimulation. All four were QHCl-best cells. In fact, we observed such inhibition in citric acid-best and sucrose-best cells, which were not included in the analysis because the magnitude of gustatory responses barely missed our criterion for taste response. More data are desired to investigate the inhibitory nature of the NST cells evoked by the contralateral CT stimulation.
Perspectives
"Taste constancy" refers to the phenomenon that individuals who have sustained considerable chorda/lingual nerve damage often fail to experience any subjective change in real-world taste experience (3, 4, 19, 20, 25, 26, 33). To explain this phenomenon, researchers have hypothesized a "release of inhibition", which emphasizes that taste constancy results from removal of the inhibition of the CT nerve on cells that receive peripheral excitatory inputs from other gustatory nerves within the NST. Halpern and Nelson (15) reported that the rat NST responded more to the application of NaCl to the posterior tongue after anesthesia of the ipsilateral CT nerve. In the clinical studies, the taste of QHCl was intensified and the taste of NaCl was diminished at areas innervated by the glossopharyngeal nerve on both sides of the tongue if CT nerves are anesthetized bilaterally (52). However, a recent study reported that average anterior tongue responses were eliminated, but no compensatory increases in palatal or posterior tongue responses were observed following anesthetization of the CT, indicating that other mechanisms may be involved to compensate for the loss of taste input (10).
In a clinical study involving the investigation of interactions between taste input from the right and left sides of the tongue in gustatory cortex, Pritchard et al. (32) reported that humans with damage to the left insula experience a deficit in taste recognition on both the left and right sides of the tongue. This result suggests that taste information from both sides of the tongue converges in the central nervous system, although the site of the convergence in the gustatory pathway was not investigated. In the present study, we have demonstrated that nearly 50% of the taste neurons in the NST receive gustatory input from both sides of the anterior tongue. This cross talk between bilateral NST is important for two reasons. First, it maintains the taste information flow in the bilateral NST even if unilateral taste input is blocked peripherally. Second, it insures sufficient volume of gustatory information that flows to both sides of the NST. Therefore, we propose that, together with the "release of inhibition" mechanism, this cross talk between bilateral NST plays an important role in maintaining "taste constancy". Further studies are required to determine whether the convergence of taste information from both sides also takes place in more rostral gustatory nuclei.
| GRANTS |
|---|
|
|
|---|
| ACKNOWLEDGMENTS |
|---|
| FOOTNOTES |
|---|
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
| REFERENCES |
|---|
|
|
|---|
This article has been cited by other articles:
![]() |
Y. K. Cho and C.-S. Li Gustatory Neural Circuitry in the Hamster Brain Stem J Neurophysiol, August 1, 2008; 100(2): 1007 - 1019. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Visit Other APS Journals Online |