Brain, Vol. 123, No. 8, 1545-1567,
August 2000
© 2000 Oxford University Press
Review article |
Physiological and pathological tremors and rhythmic central motor control
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Human Movement and Balance Unit, Institute of Neurology, London, UK
Correspondence to:
J. H. McAuley, HMBU, Institute of Neurology, 23 Queen Square, London WC1N 3BG, UK E-mail: jhmcauley{at}clara.co.uk
| Abstract |
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In recent years there has been increasing interest in oscillatory neural activity in the CNS and in the role that such activity may have in motor control. It is thought that physiological tremor may be a manifestation in the periphery of such central oscillatory activity and that some pathological tremors are the result of derangement of these oscillators. This review re-evaluates both early and recent studies on physiological and pathological tremors and other peripheral oscillations in order to gain a new perspective on the nature and function of their central progenitors. This approach, namely using tremor as a `window' into the function of central oscillations, is particularly suited to human investigations because of the obvious limitations of direct central recording. It is argued that physiological tremor is likely to be multifactorial in origin, with contributions not only from CNS 10-Hz range oscillatory activity, but also from motor unit firing properties, mechanical resonances and reflex loop resonances. Different origins are likely to dominate under different conditions. While some pathological tremors appear to arise as a distortion of central or peripheral components of physiological tremor, others arise de novo, such as the pathological oscillation of 3- to 6-Hz parkinsonian tremor. CNS oscillations outside the 10-Hz range are also found to modulate limb activity in normal individuals, and oscillatory activity exists in other motor systems such as eye movements. Finally, it is shown how studies of peripheral oscillations may help develop hypotheses on the role of CNS oscillations in motor control, including the proposed `binding' function of synchronized oscillations and the possibility that motor signals could be coded by frequency of modulating oscillation as well as by synaptic connectivity.
tremor; oscillation; physiological; pathological; motor control
AMG = acoustomyography; MEG = magnetoencephalography
| Introduction |
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Tremor, defined as a rapid back-and-forth movement of a body part, is a readily apparent and easily quantified motor phenomenon found both in normal individuals and as a pathological symptom. Perhaps as a result, it has historically been a common subject of study by physiologists and clinicians alike. The first electrophysiological investigation of tremor seems to have been conducted by Horsley and Schafer, who found that ongoing muscle activity, whether induced voluntarily or by electrical motor tract stimulation in animal preparations, was universally characterized by superimposed 10-Hz tremulous twitches (Horsley and Schafer, 1886
Initially, the neurogenic mechanism of tremor generation was generally felt simply to reflect the inevitable consequence of the unitary nature of muscle organization (each motor unit essentially producing a distinct twitch of contraction) (Marshall and Walsh, 1956
; Allum et al., 1978
) or to be a peripherally arising phenomenon due to instabilities of reflex pathways (Halliday and Redfearn, 1956
). Others noted that tremor may arise through the mechanical tendency for body parts to oscillate at certain frequencies (Joyce and Rack, 1974
). However, dating from relatively early in the literature, a few studies have suggested that physiological tremor may arise from rhythmic neural activity in the CNS (Marsden et al., 1967b
; Mori, 1975
; Elble and Randall, 1976
) and that some pathological tremors may reflect a distortion or amplification of these central oscillations (Elble, 1986
).
The fact that neural activity in the brain is strongly rhythmic in nature has been clear from the earliest EEG recordings, and from an elegant study of pyramidal tract and motor cortical discharges in anaesthetized animals (Adrian and Moruzzi, 1939
) such oscillatory activity is shown to modulate descending pathways controlling motor output. Recent monkey studies have confirmed the presence of synchronized discharges of corticomotor neurons at certain preferred frequencies (e.g. Murthy and Fetz, 1992, 1996; Nicolelis et al., 1995), suggesting a common rhythmicity. Detailed analysis of these rhythms in man is clearly more difficult because of the relative inaccessibility of the human brain to recording techniques. Although the EEG reveals much oscillatory cortical activity, oscillations recorded from the scalp in this way are poorly localized and are not clearly related to ongoing motor activity. However, partly due to the application of new recording techniques such as magnetoenecephalography (MEG), the last few years have seen greatly increased interest in the nature of central oscillatory activity and how it might become manifest in the periphery. In addition, new hypotheses have been put forward that CNS oscillations may have an important functional role in sensory information processing (Eckhorn et al., 1988
) and in the processing of motor commands (Farmer, 1998
).
In the light of such recent developments in understanding central oscillations, it is clearly important to reconsider earlier tentative suggestions that physiological tremor may be a peripheral manifestation of such activity. Many observations on tremor activity provide a basis for such suggestions. Quantitative recording techniques have made it clear that physiological (normal) tremor is not a pure 10-Hz range oscillation (Halliday and Redfearn, 1956
), but is best regarded as the summation of a number of oscillations across a frequency range that is also well represented in the EEG. The involuntary nature of tremor and its widespread superimposition upon various motor activities make it tempting to suggest that it may be a `by-product' of corticomotor oscillations. Since oscillations in the motor cortex have been shown to modulate descending corticospinal pathways, it is easy to imagine how a similar pattern of modulation could become manifest in the muscles' EMG and finally in movement in the form of a tremulous oscillation. The clear demonstration of a central origin would mean that tremor, far from simply being considered as a peripheral phenomenon limiting or impairing motor performance, could constitute a new investigative tool, providing a non-invasive `window' into the rhythmic nature of human motor control.
The purpose of this review is therefore to re-evaluate the central origin of tremors, not only to provide an account of current understanding of mechanisms of tremor generation, but to consider how studies of tremor, as a manifestation of central oscillations, may reveal more about the nature and function of central rhythmic activity.
| Origin of physiological limb tremor |
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While a number of early studies have suggested that physiological tremor may derive from central oscillations (e.g. Lippold et al., 1957; Elble and Randall, 1976), it is only relatively recently that such ideas have received renewed interest. A balanced perspective on the origin of physiological tremor is gained only by considering, in addition, the large bulk of literature describing early but nevertheless valid experiments that have indicated the importance of other mechanisms in tremor generation (Table 1
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Motor unit firing properties
If physiological tremor has a neurogenic basis, then similar oscillations should be reflected in EMG signals of the muscles associated with the tremulous body part. Since tremors occurring during active contraction are most likely to be associated with a clear EMG signal, many studies have looked at the force tremor and corresponding EMG generated during such contractions. From the point of view of tremor generation, an important property of individual motor units is that they do not fire over a continuous frequency range but start firing at a minimum frequency of around 810 Hz (Henneman, 1979
Active tremor arising from a summation of motor unit forces at the muscle tendon could therefore reflect these motor unit firing properties (Marshall and Walsh, 1956
; Homberg et al., 1986
). Although it is found to remain at around 10 Hz despite different contraction strengths and changing mean motor unit firing rates, this can be explained on the basis that newly recruited units firing at the minimum 8- to 10-Hz range firing frequency will be larger and tend to dominate the faster firing units. Moreover, force fluctuations due to faster firing units are relatively more attenuated by the muscle's mechanical properties, a phenomenon known as fusion (Marsden, 1978
).
Synchronized motor unit oscillations
While most studies during isometric contraction have highlighted the role of firing frequencies of individual motor units in the generation of physiological tremor, under different experimental conditions the 8- to 12-Hz peak frequency reflects a stronger `tuned' oscillation, manifest above the `noise' of the interference pattern and resulting from synchronization of motor units so that they tend to fire together in a pervasive 8- to 12-Hz rhythm rather than at random (Fox and Randall, 1970
; Mori, 1975
; Elble and Randall, 1976
; Elble, 1986
). In one study (Elble and Randall, 1976
), the majority of individual finger muscle units were actually found to fire at a completely different frequency of 1322 Hz, so that only recordings of whole populations of units by surface EMG directly revealed the 8- to 12-Hz rhythmicity (Fig. 2A
). Recordings of single units showed that, although they had a mean firing rate at the higher frequency, the discharges were not regular but grouped into couplets separated by periods corresponding to an 8- to 12-Hz rhythm. In this way, the external modulation is revealed indirectly at the single unit level.
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The difference between the two groups of studies may lie in the fact that the set-ups showing synchronized activity involved stronger contractions and allowed for more movement by the body part. [Mori simply used subjects standing on a force plate (Mori, 1975
Before describing the processes that may generate the synchronized firing of motor units, it is necessary to appreciate the variety of different synchronization patterns that may exist. These patterns depend on two main factors. (i) Units may tend to fire together simply because they receive branches of inputs from a common source, or they may fire together at a certain driving frequency due to the action of a common driving oscillation (i.e. the common source is itself an oscillation). (ii) Synchronization may be `tight' or `loose' depending on the number of synapses separating the motor neurons from their shared inputs. Each synapse will introduce temporal `jitter' in signal transmission, resulting in some independent variation between the units' firing times.
The different types of synchronization are perhaps best illustrated by animal studies on intercostal motor neurons where there is both a high degree of branching of the motor neuron inputs (Sears and Stagg, 1976
) and a strong driving oscillation from the medullary respiratory centre at 60120 Hz (Cohen, 1979
). Three co-existing forms of synchronization are demonstrated (Kirkwood et al., 1982
). (i) Short-term synchronization results from branching of the immediate non-rhythmic inputs to the motor neurons and is so-called because the resulting peak of the cross-correlogram comparing the firing times of pairs of motor neurons is very narrow, indicating that there is an increased probability of firing together within a very short (c. 5 ms) time period (Fig. 3A and B
). (ii) An external or tuned synchronization results when these inputs are themselves driven by a common driving oscillation; not only is there a central correlogram peak representing branched inputs, but there is a whole series of peaks displaced at regular intervals corresponding to the period of the driving oscillation (Fig. 3E and F
). (An external synchronization does not necessarily occur only in association with branched inputs because the driving oscillation may modulate a number of inputs together and therefore have a direct synchronizing action in itself.) (iii) Finally, long-term, pre-synaptic or broad-peak synchronization results from a common input many synapses distant from the point of recording; the cumulative variability in time of transmission across each intervening synapse results in a `slurring' of the common signal. In the case of respiratory motor neurons this input arises from respiratory afferents tending to respond together to sensory information and then indirectly impinging upon the motor neuron pool (Fig. 3C and D
).
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This demonstration of different peripheral synchronization patterns in the respiratory system, one reflecting branched descending inputs which happen also to be driven at a certain frequency by a central oscillation and the other reflecting shared polysynaptic inputs whatever their frequency, indicates that such mechanisms could also co-exist in the limb and should not be confused with one another. For example, the demonstration of a central cross-correlation peak between the EMG activities of two limb muscles (Bremner et al., 1991
However, Elble and Randall considered that the 10-Hz range peak represented synchronization driven by a specific frequency of oscillation (Elble and Randall, 1976
). Such synchronization is best detected by coherence analysis, a technique analogous to cross-correlation but performed in the frequency- rather than the time-domain (Jenkins and Watts, 1968
). Thus, if significant coherence is present between two units, this implies that the units share common inputs generating synchronization and, in addition, that these common inputs carry a rhythmic modulation. Anatomical branching of unmodulated inputs will result in a significant cross-correlation without significant coherence. Conversely, a coherence peak could reflect either a widespread CNS oscillation with a pervasive descending influence (giving a broad central cross-correlogram peak) or a very local CNS modulation with branching of the corticospinal tracts (giving a narrow cross-correlogram peak) (Fig. 4
).
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Although early reports considered that CNS oscillations were the external influence generating the synchronized rhythms of physiological tremor, mechanical resonances and peripheral feedback resonances could also generate such entrained activity (Adrian, 1925
Mechanical resonances
The mechanical properties of bone, muscle and soft tissue will have an influence on the frequencies of vibration of a body part, especially when recording at a distal extremity, such as the finger. While mechanical factors will be primarily manifest as tremor, they may nevertheless result in a corresponding EMG modulation through its transmission from peripheral afferent stretch receptors to the motor neuron pool via reflex pathways (Adrian, 1925
).
The mechanical fundamental frequency of vibration, f0, of any structure is related to its physical properties by the following equation (Walsh, 1992
):
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It must always be clear whether a mechanical resonance is actually generating an oscillation or whether the mechanics are such as merely to amplify pre-existing oscillations. Even if the fundamental frequency does not result in an observed peak in an actively contracting system, it will still have a filtering influence so that another source of vibration of frequency widely different from f0 will have to be of great power to exert a noticeable modulation. Thus, an experiment which involved loading a body part would bias strongly against the detection of higher peak frequencies, whereas using an elastic force would bias towards higher frequencies.
Feedback resonances
The peripheral stretch reflex can be regarded as a negative feedback loop. If the loop is underdamped, oscillations will tend to occur with a period of double the loop time and such oscillations may result in synchronized activity of EMG and tremor at this frequency. The loop time for the spinal segmental stretch reflex in the finger, including the time from EMG to development of a movement detectable by the afferent receptors, is about 50 ms (Marsden, 1978
) and would therefore tend to create oscillation at the physiological tremor frequency of 10 Hz. As well as this peak, a series of odd harmonics could result in reflex loop modulations at 30, 50 Hz, etc. of a `white-noise' type descending input [i.e. resonance at loop times equalling 0.5 (fundamental), 1.5, 2.5 cycles]. Oscillation due to the long latency stretch reflex, which plays a relatively important role in the hand and may dominate the spinal reflex in the finger (Matthews, 1993
), would be at 7 Hz (Marsden, 1978
). Even when short or long latency reflex loop values do not precisely correspond with observed peak frequencies, if the loops co-exist they may well interact together or with other modulations to generate other patterns of peak oscillation frequencies (Matthews, 1993
).
As for mechanical oscillations, peripheral stretch reflex oscillation frequencies are lowered with mechanical loading (Berthoz and Metral, 1970
) because a high inertia results in a longer delay from production of a movement to detection by afferent receptors.
Central oscillations
Despite this potential for peripheral mechanisms to generate synchronized oscillations, other evidence exists to argue against their importance and, by inference, for the importance of synchronization by CNS oscillations. Studies on deafferented patients, who therefore lack feedback loops and the possibility of reafference of mechanical tremor, reveal that postural tremor is preserved (Marsden et al., 1967b
). Moreover, during certain tremor studies involving compliant finger muscle contractions there is no effect of loading, stiffness or anaesthesia on the frequency of synchronized 10-Hz unit activity (McAuley et al., 1997
). As described above, these factors would be expected to change oscillations based on feedback loop or mechanical resonances. Finally, Vallbo and Wessberg have found that apparently smooth, slow, controlled finger movements are modulated by a motion tremor consisting of regular pulses fixed at the physiological tremor frequency of 810 Hz (Fig. 5
) (Vallbo and Wessberg, 1993
). These pulses are of large amplitude, unaffected by changes in finger velocity or by loading and have a timing inconsistent with the timing of reafferent impulses (Wessberg and Vallbo, 1995
).
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Given this evidence for a central origin of physiological tremor, one might expect to find physiological tremor correlates on direct CNS recording. In animal studies, the administration of harmaline, which enhances cerebral 10-Hz range oscillations, results in a corresponding recordable oscillation propagated down to spinal interneurons (Llinás and Volkind, 1973
Summary of physiological tremor genesis
There clearly remains considerable uncertainty regarding the central origin of physiological tremor, since different workers report the importance of a variety of different mechanisms (see reviews by Marsden, 1978; Freund, 1983) and since there is a lack of direct demonstration of a corresponding central oscillation. However, many of the apparent contradictions in the literature can be resolved by taking into account the fact that tremor has been recorded under many different conditions (Table 1
). Thus, physiological tremor, using a rather broad definition of the term, may be subdivided into the following categories, each category having relatively different contributions from the different peripheral and central processes that can generate such oscillations.
Rest tremor
At rest, the small amplitude tremor that occurs is unlikely to be neurogenic since, by definition, there is no neuromuscular activity. It has been attributed to the ballistocardiogram (Yap and Boshes, 1967
; Marsden et al., 1969a
); small mechanical perturbations from the arterial pulse set up an oscillation that is presumably perpetuated at 10 Hz by peripheral passive mechanical resonances.
Postural tremor
The 10-Hz tremor of the extremities when the limbs are outstretched (postural tremor) has been described as a mechanical resonance (Lakie et al., 1986
; Amjad et al., 1994
) because the frequency changes with loading or as a peripheral stretch reflex loop resonance (e.g. Halliday and Redfearn, 1956; Hagbarth and Young, 1979; Sakamoto et al., 1992). It is perhaps likely that postural tremor is multifactorial in origin because patients with neurological lesions resulting in deafferentation (removing the contribution of reflex loops) are found to have preserved but less sharply `tuned' 10-Hz range tremor (Marsden, 1967b). There may also be a component due to transmission from a more `active' tremor of proximal muscles maintaining the posture (Marsden et al., 1969a
).
Isometric contraction
Tremors at around 10 Hz occurring during active contraction will clearly be associated with EMG activity and when of low amplitude, as described above, may be ascribed to the activity of single motor units (Freund and Dietz, 1978
). Central studies comparing CNS and peripheral oscillations have often looked at isometric tremor, which may partly explain why central 10-Hz range oscillations have not been found to be manifest peripherally.
Higher amplitude tremors
When there is increased tremor amplitude, whether on posture or active contraction, unit synchronization from an external source appears to underlie this increased amplitude. Stress may increase tremor amplitude via peripheral ß-adrenoceptors (Marsden et al., 1967a
), which cause both a shortening of unit twitch times resulting in reduced fusion, and an enhancement of afferent feedback resulting in increased synchronization of units (Hagbarth and Young, 1979
). Fatigue may also increase tremor amplitude by increased unit synchronization. Thus, while 10-Hz range physiological tremor may be explained in part by unit firing rates, external synchronization accounts for increased tremor amplitudes observed on strong, stressed or fatigued contraction.
Compliant contractions
The strong dampening effect on tremor of attaching the body part to a force transducer and measuring isometric force tremor can be eliminated by studying compliant (elastic) active contractions. Such contractions reveal strong synchronization, as shown by measured amplitudes being too great to be generated by single motor units and by demonstration of corresponding multi-unit EMG discharges (McAuley et al., 1997
). The lack of change in frequency on limb anaesthesia or on applying inertial or elastic loads in this study indicated that the synchronization was central in origin. However, other studies using such experimental manipulations (Joyce and Rack, 1974
; Matthews and Muir, 1980
) revealed a shift in tremor (and EMG) peak, indicating a mechanical or stretch reflex origin. Unfortunately, most studies on peripheral oscillations were performed under isometric conditions, preventing experimental alteration of the mechanics of the body part, so there are no other studies that resolve this issue. Perhaps it is likely that synchronization in physiological tremor is multifactorial, with different relative contributions according to the subject, the task performed and the mechanical set-up.
Motion tremor
The relatively close control exerted by the CNS during movement as opposed to maintenance of posture could make tremors on motion especially suitable for study of peripheral manifestation of central rhythmic activity. The large amplitude 8- to 10-Hz tremor pulses described by Vallbo and Wessberg on slow finger motion illustrate this point and strongly indicate the presence of a CNS rhythm driving this activity (Vallbo and Wessberg, 1993
).
| Pathological tremors in the physiological tremor frequency range |
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Different pathological tremors (defined as those tremors that impair motor performance) appear likely to arise through a variety of different mechanisms, but they may be grouped into discrete categories according to their frequency, and it is possible that those tremors of similar frequency may have similar modes of generation (Fig. 6
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Enhanced physiological tremor
This is best classified as `physiological tremor of pathological amplitude' (Young et al., 1975
Essential tremor
Essential tremor bears similarity with physiological tremor in that their typical frequencies overlap. There is no additional clinical neurological deficit associated with essential tremor, but one neurophysiological study has suggested subtle deficits of motor control, such as asymmetries of ballistic movement profiles resulting from an abnormal delay in the timing of the second agonist burst (Britton et al., 1994
). This would indicate that CNS structures, possibly the cerebellum, may be involved in the generation of essential tremor (Lamarre, 1975
), as do the findings that it can be abolished by a suitably placed thalamic lesion (which could interrupt cerebellar inputs) (Ohye et al., 1982
) and that abnormal cerebellar activation is found on functional imaging (Brooks et al., 1992
).
A central oscillation in the 10-Hz range could modulate descending motor pathways to limb muscles and thus drive essential tremor by a process akin to that proposed for physiological tremor. A search for CNS oscillations of physiological and esssential tremor frequency in animal studies reveals that olivocerebellar neurons have a natural and harmaline-enhanced tendency to oscillate at 712 Hz (Llinás, 1991
; Welsh et al., 1995
). This oscillatory activity is found to become synchronized across groups of olivary neurons by means of electrotonic coupling via gap junctions. It is tempting to conjecture that such a system could contribute to the central component of 10-Hz range physiological tremor; these subcortical oscillations would of course not be detected on human EEG or MEG recordings. Possibly, a subtle abnormality of this oscillation, such as a slightly lower olivary oscillation frequency, an abnormal influence of deep cerebellar nuclei or abnormal GABA-mediated electrotonic olivary coupling, results in essential tremor.
However, there is other evidence to indicate that, like physiological tremor, essential tremor may be derived, at least in part, from peripheral oscillations. The phase of essential tremor oscillation is relatively easily reset by peripheral perturbations (Lee and Stein, 1981
), suggesting that it could arise through some abnormality in reflex loops rather than a fixed pathological CNS oscillation. The subtle CNS mistiming of motor commands suggested by Britton and colleagues could generate tremor without the need for a driving central oscillation by resulting in overshoots after small corrective movements during posture, which could then become amplified and perpetuated by the normal peripheral feedback instability at around 10 Hz (Britton et al., 1994
).
| Pathological tremors at other frequencies |
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While pathological tremors that occur at frequencies dissimilar from that of physiological tremor may not share the same mechanisms of generation, invasive animal and human CNS recordings of pathological tremor can nevertheless provide insight into the genesis of a central oscillation at the cellular level and its manifestation in the periphery. In addition, since motor deficits are closely associated with some pathological tremors, study of the latter may provide clues to the role of central oscillations in normal motor control and how their derangement may led to these deficits.
It must first be considered, however, that like physiological tremor and possibly essential tremor, some pathological tremors could in fact arise peripherally. In a manner analogous to physiological tremor, individual motor units generating an abnormal interference pattern may be responsible for pathological tremor. As already described, minimum motor unit firing rates are normally set at around 8 Hz. This threshold level is convenient because units firing at slower rates would be completely unfused and tend to result in discrete individual twitches or fasciculations rather than summating to enable the generation of appreciable force by the whole muscle. In cerebellar kinetic tremor and in parkinsonian tremor, units can fire steadily at much lower rates of around 34 Hz and therefore create a tremor of completely unfused motor units at this frequency (Dietz et al., 1974
). However, such 3- to 4-Hz discharges often in fact consist of couplets or groups of units firing synchronously, indicating that, as in higher amplitude physiological tremor, the rhythm derives from an external synchronization.
As mentioned for essential tremor, disordered organization of motor commands could produce a synchronized pathological tremor without a direct central progenitor by generating mechanical instabilities that enhance mechanical resonances or feedback loop resonances (Fig. 6
). Relatively small increases in feedback loop gains (including central reflex loops) are capable of inducing a large amplitude tremor (Prochazka and Trend, 1998
). The delayed antagonist activation that is shown to occur in cerebellar tremor, possibly arising through impaired nucleus interpositus activity (Murphy et al., 1975
), could set up a mechanical instability (Diener and Dichgans, 1992
); the late antagonist activation would fail to dampen the agonist's action effectively, setting up an inappropriate late overshoot that could become perpetuated by reflex loops into a repetitive oscillation. A similar mechanism has been suggested to contribute to the `sensory ataxic' tremor of benign paraproteinaemic neuropathy (Bain et al., 1996
).
There is, nevertheless, much evidence to support the existence of central oscillations producing pathological tremors. The amplitude of pathological oscillations is too large to be explained solely by single motor units and indicates the presence of a synchronizing mechanism. Such synchronization has been directly demonstrated on EMG recordings within a muscle and even between antagonistic muscle pairs. Moreover, both cerebellar tremor (Gilman et al., 1976
) and parkinsonian rest tremor (Pollock and Davis, 1930
) are still present after deafferentation, suggesting that in these tremors synchronization arises, at least in part, directly from the CNS rather than by peripheral feedback oscillations or mechanical resonances.
Central oscillations in parkinsonian tremor
Direct CNS recordings, both in animals (Poirier et al., 1966
; Lamarre, 1975
; Lamarre and Joffroy, 1979
) and in patients undergoing stereotaxic surgery (Jasper and Bertrand, 1966
; Ohye et al., 1974
; Rothwell et al., 1995
), suggest that in parkinsonism the central rhythmicity arises from spontaneous 3- to 6-Hz oscillatory activity in the thalamus, probably in the ventro-oralis anterior (Voa) nucleus, because the activity here is specifically correlated with tremor activity rather than also with sensory inputs resulting from passive movement of the peripheral structures (Llinás and Pare, 1995
). Therapeutic lesioning of the nucleus ventralis intermedius (Vim) (which inputs to the Voa) is effective in alleviating parkinsonian tremor (Narabayashi, 1982
). Dopaminergic depletion in Parkinson's disease results in increased activity and disturbed firing patterns of neurons in the globus pallidus internus, a structure which normally has an inhibitory influence on the thalamus. The hyperpolarization generated by increased thalamic inhibition may specifically excite low-threshold calcium currents in thalamic neurons, which results in a tendency for 3- to 6-Hz oscillations (Pare et al., 1990
). There are reciprocal connections between different thalamic areas via the thalamic reticular nuclei and these loops may tend to amplify the oscillations and synchronize them between different thalamic neurons in an analogous manner to the synchronization of olivocerebellar oscillations by gap junctions (Steriade et al., 1991
; Jeanmonod et al., 1996
). The thalamic nuclei output to the premotor and motor cortex, and so in parkinsonism the synchronized modulations generated by altered basal ganglial input to the thalamus may ultimately be transmitted to motor programmes and to the descending commands to muscles.
Central oscillations in cerebellar tremor
Cerebellar tremor also occurs at around 36 Hz and results from disruption of the cerebellum or cerebellar outflow, particularly from the nucleus interpositus and perhaps the dentate nucleus (Cooke and Thomas, 1976
). Since many cerebellar inputs pass to the thalamus, it is possible that thalamic disinhibitionarising from loss of basal ganglial inputs, cerebellar inputs or even spinal inputs in sensory ataxic tremorcould be a common mechanism involved in the generation of tremors of 3- to 6-Hz frequency (Fig. 6
). This possible overlap between parkinsonian and cerebellar tremor is perhaps illustrated by the `rubral tremor' that combines the features of rest and intention tremor and results from midbrain lesions to cerebellorubrothalamic pathways (Marsden, 1984
) or from other subcortical lesions (McAuley et al., 1998
). Alternatively, it has been suggested that cerebellar tremor could arise centrally through separate cerebellar circuit resonances rather than by a thalamic mechanism (Tsukahara et al., 1983
).
Primary orthostatic tremor
A completely different 16-Hz range centrally originating oscillation appears to exist in primary orthostatic tremor, a rare condition that occurs mainly in the legs during postural muscle activity (Heilman, 1984
; Thompson et al., 1986
; Wills et al., 1994
). Single motor unit studies show that the 16-Hz oscillation is not an innate abnormal motoneuronal rhythm, but the result of synchronizing of motor units by an external oscillation (Deuschl et al., 1987
), and cross-correlation analysis shows that the synchronization of motor units also occurs between different muscles (Britton et al., 1992
). This synchronization has a phase offset, indicating that the bursts in different muscles are not simultaneous, but have relatively fixed delays relative to one another (McAuley et al., 2000a
). The lengths of delays do not reflect the various conduction times from the brain to the muscles, but instead follow a more complex pattern that depends on the particular posture adopted by the patient.
| Higher frequency limb `tremulous' oscillations in normal individuals |
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Study of pathological tremors clearly reveals that central oscillations other than those in the 10-Hz physiological tremor range can potentially become manifest in the periphery as tremor. It is thus possible, given the broad spectrum of EEG and MEG oscillatory activity in normal individuals, that peripheral physiological oscillations at frequencies different from 10-Hz physiological tremor could similarly arise from central oscillations over this broad frequency range.
Recently, a peripheral external rhythmic synchronization of motor units has been found at 1632 Hz (Farmer et al., 1993b
), much higher than physiological tremor frequencies and broadly corresponding with the beta EEG band. This motor unit modulation is revealed by coherence analysis comparing the firing of pairs of individual finger muscle units during weak isometric contractions and is corroborated by cross-correlograms showing a central peak and smaller secondary peaks around 40 ms apart (Fig. 4
). The individual units (analysed by auto-correlograms) fire at around 10 Hz. Thus, although the timing of firing is such that a group of units tends to fire together in a rhythm around 20 Hz, each individual unit only contributes to this pattern intermittently so that their overall rate is only 10 Hz.
Strong evidence suggests that a central oscillation generates this 20-Hz range synchronization. It spreads between the two hands in patients with mirror movements arising from central lesions that result in branching of descending corticospinal pathways and is disrupted after other CNS lesions that interrupt such pathways (Farmer et al., 1993a
). It can be influenced by cortical magnetic stimulation in a stimulus intensity dependent manner (Mills and Schubert, 1995
). Finally, unlike any studies on physiological tremor frequency oscillations, the peripheral oscillation is itself directly correlated with cortical rhythmic activity as measured directly over the motor cortex by MEG (Conway et al., 1995
; Baker et al., 1997
).
Such findings appear to be in contrast with the multi-unit 10-Hz range EMG synchronization generating force tremor, described on strong and `tremulous' contractions by Elble and Randall (Elble and Randall, 1976
). In the latter condition, as mentioned earlier, units fire at up to 20 Hz contributing to a broad frequency interference pattern, while an external oscillation at 10 Hz drives groups of units together (Fig. 2A
). In the condition described by Farmer and colleagues, units fire relatively slowly around 10 Hz, but because of sharing of common rhythmic inputs they also receive a statistical modulation by an external oscillation in the 20-Hz range (Farmer et al., 1993b
) (Fig. 2B
). The apparent conflict is perhaps best resolved by considering that mean firing rates will change with strength of contraction and that different external rhythmicities may dominate in different circumstances.
It also seems paradoxical that there has been great difficulty in demonstrating a link between easily apparent peripheral physiological tremor and central alpha range oscillations, yet there is such a clear manifestation in the periphery of central oscillations at a completely different frequency. Do these higher frequency oscillations merely represent a subtle statistical influence on EMG timings or could they actually contribute to movement? In other words, is physiological tremor, visible at 10 Hz and recorded at these frequencies, actually accompanied by additional components at higher frequencies not visible to the naked eye?
Finger muscle tremors in the 20-Hz range rather than just at the 10-Hz physiological tremor frequency have indeed been reported (Sakamoto et al., 1992
; Amjad et al., 1994
; McAuley et al., 1997
), and recently it has been shown directly that the 20-Hz EMG central oscillation modulating mirror movements, as described by Farmer and colleagues (Farmer et al., 1993a
, b
), is also manifest as tremor at this frequency (Mayston et al., 1999
).
An examination of older literature reveals descriptions of peripheral oscillations of even higher frequencies at around 4050 Hz, which correspond to the gamma EEG range. Piper first described rhythmical bursts of EMG signals at around 50 Hz while recording from steadily contracting muscles (Piper, 1907
), and findings of similar synchronized EMG activity have been confirmed by many studies on different muscles under different conditions (Adrian, 1925
; Fex and Krakau, 1957
; Komi and Vitasalo, 1976
; Hagbarth et al., 1983
; Bruce and Ackerson, 1986
; McAuley et al., 1997
). Adrian originally suggested that the EMG synchronization underlying the Piper frequency oscillation arises from the peripheral mechanical properties of the body part rather than from the CNS (Adrian, 1925
). However, microneurographic recording of afferent nerves has revealed no such rhythmic behaviour correlated with EMG Piper rhythms (Hagbarth et al., 1983
), suggesting that these EMG rhythms may indeed originate centrally. It is possible that the central Piper generator corresponds with a synchronized 40- to 50-Hz MEG oscillation that has been recorded from the motor cortex during certain manual tasks (Conway et al., 1995
).
Another technique that has been used to investigate rhythmic muscle activity is acoustomyography (AMG), which is the recording of vibrations of the muscle belly. Since muscle contraction is triggered by EMG activity, peak frequencies of multi-unit oscillations in EMG might well be associated with similar frequency peaks in muscle vibrations which may suffer less mechanical interference than in the tremor signal recorded at the end of the limb (P. A. Merton, personal communication). The first description of muscle vibrations actually dates back to 1665 when Grimaldi (in Orizio, 1993) listened for these vibrations propagated as sound waves. Such findings can be easily repeated by listening through a stethoscope placed over a contracting muscle belly [Wollaston, 1810 (in Orizio, 1993)], whereupon a low rumbling at the lower limit of human hearing (around 40 Hz) is heard. Gordon and Holbourn subsequently showed that the vibrations were mostly due to the contractile activity of muscle motor units (Gordon and Holbourn, 1948
). However, there is much debate about the validity and origin of these muscle vibrations, with some workers considering them not to be neuromuscular but instead to arise directly from the muscle (Curtin et al., 1974
), and most recent quantitative studies have only found peaks of vibration in the 10-Hz physiological tremor range (Rhatigan et al., 1986
; Wee and Ashley, 1989
; Rouse and Baxendale, 1991
; Ebrahimi-Takamjani and Baxendale, 1994
). Nevertheless, some studies have revealed higher frequencies (Oster and Jaffe, 1980
; Orizio et al., 1990
) and one group has correlated vibrations at 20100 Hz in a variety of strongly contracting muscles with EEG at this frequency, implying a central origin (Keidel et al., 1990
).
Despite this evidence for higher frequency range oscillations that may arise from components of EEG activity in the beta and gamma bands, a clear demonstration of tremor at these frequencies is clearly lacking from most standard physiological tremor studies. On the basis that this lack of demonstration of higher frequency tremors might simply arise because the mechanical properties of muscles when under inertial or fixed loading results in severe dampening of higher frequencies, steady compliant muscle contractions against an elastic load have been investigated (McAuley et al., 1997
). Elastic loading changes the mechanical properties to favour detection of higher frequencies of tremor and requires a strong yet finely controlled muscle activation. In these circumstances, in addition to a 10-Hz EMG oscillation and corresponding AMG (muscle vibration) and physiological tremor oscillation, there are also peak oscillations of EMG, AMG and tremor in the 20-Hz range and in the 40-Hz Piper frequency range (Figs 7 and 8![]()
). The frequency of all three peaks is unchanged by experimental manipulations that would alter mechanical oscillations or those derived from peripheral feedback, suggesting that they may all have a central origin. Thus, the long-described rumbling sounds heard at around 40 Hz on listening to contracting muscles appear to correspond to the centrally derived EMG Piper rhythm and in turn comprise an `invisible' but not `inaudible' component of tremor.
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Studies on rhythmic activity in the periphery have not been limited to the limbs. In fact, the relatively simple motor control and neural organization of certain other motor structures makes them good candidates for investigation of peripheral manifestations of central oscillations.
In the respiratory system, as already described, medullary inputs are modulated by strong oscillations at 60120 Hz. This has been demonstrated in animals by cross-correlation analysis of motor nerve activity and comparison with direct medullary recording (Kirkwood et al., 1982
), and in the human by surface intercostal or diaphragmatic muscle EMG recordings. Coherence analysis between such EMG activity in different respiratory muscles reveals a peak synchronized frequency at 60120 Hz during breathing, but not during voluntary movements involving these muscles (Bruce and Goldman, 1983
; Bruce and Ackerson, 1986
; Smith and Denny, 1990
).
The relatively stereotyped and easily quantifiable nature of eye movements makes the oculomotor system another promising candidate for further study of the rhythmic modulation of motor activity. Some reports have addressed this issue, looking for such rhythms in ocular tremor, in saccade timing and during smooth eye movements.
It has been proposed that a component of EEG 8- to 12-Hz alpha rhythm is related to a similar frequency eye movement tremor occurring during ocular fixation in the dark (Lippold and Novotny, 1970
; Reiman et al., 1974
) and to the timing of fixation saccades (Gaarder et al., 1966
). However, the link between eye oscillations and alpha rhythm is not substantiated. Other recordings of ocular microtremor during fixation have revealed periodic bursts occurring at around 100 Hz with lower frequency 10-Hz range oscillations present only in patients with brainstem pathology (Abakumova et al., 1975
). Like previous studies on limb tremor, the 100-Hz bursts were thought to reflect the firing of individual motor units, the higher frequency in the eyes reflecting the much higher maximum sustained firing rates of oculomotor muscle fibres. Small peaks in ocular tremor power spectra at 40 and 80 Hz have been described by Bengi and Thomas (Bengi and Thomas, 1968
), but these may be artefacts of the recording technique or a mechanical resonant frequency of the eyeball (Thomas, 1967
; Boyce and West, 1968
). In any case, fixation tremor is uncorrelated between the two eyes (Riggs and Ratliff, 1951
), indicating that it is unlikely to be derived from oscillations in higher-order CNS structures.
In addition to the above studies on ocular fixation, rhythmic activity has been investigated during large-scale eye movements. Saccades occurring in regular rhythms with a period of around 200 ms have been demonstrated during certain artificial open-loop conditions (Young and Stark, 1963
), during the fast phases of optokinetic nystagmus (Cheng and Outerbridge, 1974
) and during predictive tracking of intermittently concealed targets (McAuley et al., 1999a
). However, it is not clear whether this rhythmicity represents an inherent CNS `clock' (Westheimer, 1954
; Wheeless et al., 1966
) or simply a stochastic process related to thresholds for generation of saccades (Robinson, 1973
; Carpenter, 1981








