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RESEARCH REPORT |
Department of Functional Anatomy, Academic Center for Dentistry Amsterdam (ACTA), Meibergdreef 15, 1105 AZ Amsterdam, The Netherlands;
* corresponding author, g.e.langenbach{at}amc.uva.nl
| ABSTRACT |
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KEY WORDS: masseter EMG duty time telemetry
| INTRODUCTION |
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Previously, subjects had to be cable-connected to a recording unit, which limits such studies in time and space. Although this is not much of a problem in lengthy sleep studies (e.g., Solberg et al., 1975; Kato et al., 2003), it restricts the study of natural daily behavior. Radio-telemetry has recently provided the possibility for true wireless EMG recording. Hensbergen and Kernell (1997, 1998) successfully used the technique to examine the daily activity of hindlimb muscles in the cat. However, the transmitter was worn on the back and imposed external forces which might affect the animals natural behavior. The evolution of electronics and battery technology has facilitated the development of smaller, fully implantable transmitters, which have become commercially available. Although the technique facilitates the lengthy (several months) recording of biopotentials, it has seldom been used to record striated muscle activities (Hinch et al., 2002; Langenbach et al., 2002).
The purpose of the present study was to examine the inter- and intra-individual variations in daily contraction patterns of the masseter muscle in the rabbit, to facilitate the study of the influence of muscle activity on the adaptive capacity of the masticatory system. We hypothesized that different animals would show similar total daily durations of muscle activity (duty time), and that the duty times would be constant for subsequent days. Knowing that the masseter muscle acts heterogeneously during different feeding behaviors, we presumed that the deep and superficial regions would differ in their total daily duration of activity.
| MATERIALS & METHODS |
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In the device, the biopotentials are filtered (1st-order low-pass filter, 158 Hz) and sampled (250 Hz) on the input of each channel. A nearby receiver (RMC-1, 31 x 24.5 x 3.5 cm, DSI), placed above the animal inside the cage, ensures transmission of the digital data (3,600,000 samples/hr) to a PC hard disk, with the use of a data acquisition system (Fig. 1
). Despite the limited frequency range and the low sampling frequency, the recorded EMGs are a reliable reflection of the actual biopotentials and can be used for estimation of muscle use (Langenbach et al., 2002).
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Each animal was held in a standard cage (45 x 50 x 55 cm) and provided with ad libitum pellets, hay, and water, and, except for the daily care and physical examination, was left undisturbed to minimize any external influence. Day-night rhythm was ensured by automatic dimmed lighting (7 am-7 pm). Muscle activities were continuously recorded for 7 days, starting several days after surgery when the animal had regained its usual feeding behavior. After the recording period, the animals were sedated (Hypnorm, Janssen Pharmaceutica, Tilburg, The Netherlands) and killed by an overdose of pentobarbital (Nembutal, Sanofi Sante, Maassluis, The Netherlands) for electrode location verification. The animals were weighed before and after the experiment.
Analysis
LabVIEW software (National Instruments, Austin, TX, USA) was used to filter the recordings of all animals to remove motion artifacts (5-Hz high-pass); recordings were then rectified and integrated (20-msec window, 5 samples). The samples of one total day (4,320,000 = [sampling frequency * seconds]/integration window = [250 * 86,400]/5) were indexed for their EMG amplitude and counted (steps of 1 µV, 01.5 mV; Fig. 1
). The cumulative distribution of the EMG levels determined the peak EMG at 99.95% of the total number of samples, excluding possible artifacts. This enabled us to calculate the total duration of muscle activity (duty time) exceeding specified levels (5, 20, and 50%) of the peak EMG. The 50% duty time (percentage of time the muscle is active at more than 50% of the days peak activity) incorporates only the most forceful muscle usage, while the 5% duty time is a measure for the overall muscle use, including activities at lower levels. To visualize possible variation in muscle use during the day, we also calculated the duty times for each hour. Comparison of daily duty times between individuals (ANOVA) and muscle regions (paired t test) disclosed, respectively, the inter- and intra-individual differences.
To estimate the amount of time spent chewing, we used video surveillance (infra-red CCD camera, VCB-3372P; resolution, 560 x 400 TV lines; Sanyo Electric Co. Ltd., Osaka, Japan) of the daily behavior of 3 animals to see the approximate time that chewing occurred. Video registration time was time-linked to the EMG recording by a clock showing the time of the data acquisition system. The infra-red camera ensured reliable recording and chewing recognition during the entire diurnal cycle. After the identification of chewing periods, the EMG registrations permitted the determination of the exact period durations, which, summed, gave the total time spent feeding.
| RESULTS |
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The continuous EMG recordings showed an enormous variation in muscle activities, even in a five-minute period (Fig. 2A
). Periods of feeding behavior (mastication and drinking) could easily be distinguished by their prolonged rhythmic character combined with, for mastication (Fig. 2B
), the highest activity levels. The Fig. is not representative of the relative time different behaviors were performed. Most of the time, muscle activity was absent or barely detectable and very irregular (Fig. 2C
). Sessions of higher, but still irregular, muscle activities involved behaviors like grooming, exploring, etc. (Fig. 2D
). Calculation of the time animals spent chewing showed that the animals masticated, on average, 27'46''/day (range, 25'05'' to 30'43''), i.e., during 1.9% of the time.
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| DISCUSSION |
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At all examined activity levels, a broad range of duty times was found for both muscle regions. For the deep masseter, 2 of the 6 examined animals can be clearly typified as very active, with muscle activity (at more than 5% of the peak activity) during one-fifth of the total time, while in another animal (#6), this muscle was active just one-twelfth of the time (Fig. 4A
). The results for the superficial masseter were comparable but less extreme. Also, the 20% and 50% duty times (Figs. 4B
, 4C
) showed a significant range in both muscle portions. In all animals, the majority of muscle contractions during chewing reached the 20% activity level (Fig. 2
). In humans, Miyamoto et al.(1999) detected masseter contractions exceeding the 25% activity level only 0.5% of the time. This differs considerably from the duty times (1.54.5%) estimated for the 20% activity level in the current paper (Fig. 4B
). The examined levels of activity in the current study are arbitrary. A change in or expansion of activity levels can readily be obtained.
The masseter muscle is known for its extreme heterogeneous function, i.e., large timing differences between muscle regions during chewing (Weijs and Dantuma, 1981) and sucking (Langenbach et al., 1992), and a regionally dependent change in motor unit activity (Blanksma et al., 1992, 1997; McMillan and Hannam, 1992). This last type of behavioral heterogeneity, in particular, will generate the detected intra-individual variation in duty times of the superficial and deep masseter muscle regions. However, it must be emphasized that each of the current duty times is true for a limited volume of muscle, consisting of a small number of motor units out of a much larger motoneuron pool. The heterogeneous activity combined with these small recording volumes can easily produce the detected duty time differences between individuals. Whether these differences originate in different behavior patterns at the animal and/or muscle portion level remains unclear.
Behavioral differences in muscle use are related to variations in the fiber-type composition. According to the size principle (Henneman, 1981), the smallest motor units, which are commonly slow and fatigue-resistant, will be activated first. Only for powerful contractions will the larger motor units, which are fast but fatigable, be used. As a result, muscle regions with a high percentage of slow motor units can be expected to show a higher 5% duty time than regions with faster motor units. Such a linkage between anatomy and function was found for ankle muscles (e.g., Hensbergen and Kernell, 1998; Hodgson et al., 2001). Here, a muscle composed of mainly slow fibers was active at circa 15% (cat) or 9% (rhesus monkey) of the time, while a fast muscle showed activity in, respectively, 2% and 4% of the time. From studies examining the fiber-type composition in the rabbits masseter (Bredman et al., 1990, 1992; English et al., 1998, 1999; Eason et al., 2000), it becomes clear that an enormous variation in fiber composition can be found. A study combining the present functional results with individually computed fiber-type composition at the recording site could clarify the degree in which they are linked in the jaw musculature. Animals in the present study were adult males, excluding sexual (Eason et al., 2000) and age differences (Bredman et al., 1990, 1992) in fiber composition.
A few remarks regarding the method should be made. In every EMG study, variability in the recorded muscle activities is a topic in the data analysis. When results obtained from different recording sessions are being compared, the peak EMG value often serves as a reference, but the comparison depends entirely on the efforts of the subject of study and is hard to control in animal experiments. For this study, the peak activity was determined over an entire day, based on the assumption that, during such a period, the muscle will show a reproducible activity pattern. The regular duty times found for successive days support this assumption.
Another problem experienced during EMG analysis is electrical noise, since its level can vary during the experimental period. We bypassed this by determining solely peak activity, which can be reliably and easily defined. The disadvantage is that this method will not define the lowest detectable EMG levels. In this study, the lowest EMG level used for analysis was 5% of the peak activity, which probably surpasses the activity level needed for jaw posture. In contrast to other muscles that support the total body, the postural activity in jaw muscles is small (Yemm, 1976; Langenbach and Hannam, 1999), caused by the relatively small weight of the mandible and surrounding soft tissues.
In conclusion, masseter duty times are very constant over time, but large inter-individual differences in muscle use can be detected. Moreover, different muscle regions are not evenly activated. When lower activity levels were included, the muscles were active up to 20% of the total time. The method presented facilitates the study of adaptations related to muscle activity patterns.
| ACKNOWLEDGMENTS |
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Received April 1, 2003; Last revision September 10, 2003; Accepted September 29, 2003
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