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The way in which the cerebellum influences the output of the motor cortex is not known. The aim of this study was to establish whether information about force, velocity or duration of movement is encoded in cerebellar thalamic discharge and could therefore be involved in the modulation of motor cortical activity. Extracellular single cell recordings were made from the cerebellar thalamus (66 neurones) and VPLc (49 neurones) of four conscious macaques performing simple wrist movements with various load and gain conditions imposed. A significant correlation (Spearman's; P<0.05) was found between movement duration and the duration of neuronal discharge of most cerebellar thalamic neurones (65%), the velocity of movement and rate of neuronal discharge of some cerebellar thalamic neurones (23%), but not between force of movement and rate of neuronal discharge of any cerebellar thalamic neurones. Similar relationships were found between the activity of VPLc neurones and these movement parameters. The strength of the correlations increased when many cells were grouped and analysed as an ensemble, suggesting that populations of cerebellar thalamic (and VPLc) neurones can encode a signal with higher fidelity than single neurones alone. The ensemble data confirmed that the most robust association was between the duration of neuronal discharge and movement duration. We propose that the cerebellum does not provide the motor cortex with specific information about movement force or velocity, but rather that its major role is in activating many motor cortical regions for a specific duration, thus influencing the timing of complex movements involving many muscles and joints.

In a previous paper (Churchward PR, Butler EG, Finkelstein DI, Aumann TD, Sudbury A, Horne MK. J Neurosci Methods 1997;76:203-210), we showed that a simple back propagation neural network could reliably model visual inspection by human observers in detecting the point of change of neuronal discharge patterns. The data for that study was deliberately chosen so that the point of change was readily detected and there would be high concordance between human observers. We wished to extend this investigation by comparing a variety of automatic analysis methods on more complex data sets. Two automatic analysis methods have been discussed in this paper. The knowledge based spike train analysis (KBSTA) was designed to emulate the detection of bursts by human observers. The self-organizing feature map (SOFM) spike train analysis determined a burst by classifying the patterns of neuronal discharge. Neuronal discharge was recorded from the motor thalamus and nucleus ventralis posterior lateralis caudalis (VPLc) of a monkey performing consecutive trials of skilled wrist movements. Recordings were made from 36 neurons whose discharge patterns were related to wrist movement. Three hundred and sixty trials performed during the recording of these 36 neurons were chosen at random and used to compare the three methods, KBSTA, SOFM, and visual inspection. The main results of this study show that for the 360 trials the three detection methods have very similar results in detecting the onset and offset of neuronal bursts. The SOFM method is not the best first approach for detecting a burst, but it does provides independent evidence to support the KBSTA and visual inspection methods. In conclusion we propose the KBSTA method as a practical, automatic technique to identify bursts of neuronal discharge.

Extracellular recordings were made from single neurones in the cerebellar thalamus (75 neurones) and the VPLc (44 neurones) of four conscious moving monkeys. The experiment was designed to establish the discharge of ventrolateral thalamic neurones encodes information about kinematic parameters. The animals were trained to resist unexpected perturbations of the wrist and to perform skilled, voluntary wrist movements, producing stereotyped reflex and active movements with a wide range of durations and amplitudes. Statistical analysis of the discharge pattern associated with individual trials of movement was performed. In various maintained wrist positions there was a significant correlation (P < 0.05) between frequency of tonic discharge and joint position in 40% of the cerebellar thalamic neurones and in 54% of VPLc neurones. The phasic neuronal discharge associated with stereotyped movement often appeared "velocity-or acceleration-like'. However, statistical analyses revealed that the phasic discharge of only a small percentage of cerebellar thalamic and VPLc neurones was correlated with duration of movement, peak velocity or acceleration. The percentage of cerebellar thalamic neurones with discharge correlated to kinematic parameters was much greater when an unexpected change in the gain between joint angle and screen display led to errors in tracking the target. It is concluded that the cerebello-thalamo-cortical (CTC) pathway, carries information regarding maintained joint position but not velocity or acceleration of movement during a stereotyped task. However, the CTC pathway has a greater capacity to signal information about movement velocity and acceleration when there is a mismatch between the intended and actual movement.

1. To examine the role of the anterior ventrolateral thalamic nucleus (VLa) in motor control, extracellular single-cell recordings were made from the VLa nucleus in three conscious monkeys performing visually triggered, rapid movements requiring flexion and extension of the wrist joint. The movement paradigms consisted of three components: an initial hold period, a ballistic movement, and a final hold period. 2. Cerebellar nuclear stimulation was used to physiologically identify thalamic neurons receiving input from the cerebellum. Neurons subsequently confirmed histologically as lying within the VLa nucleus were located anterior to those "driven" by cerebellar stimulation. 3. The activities of 261 VLa neurons displaying movement-related behavior were examined. In the absence of movement, the activity of these neurons ranged from 5 to 80 spikes/s, the majority of cells (222/261; 85%) firing between 10 and 30 spikes/s. Neural activity was not influenced by afferent input from skin, joint, or muscle but altered markedly when the animal engaged in active movement. 4. The relationship between neural activity and movement at a specific joint was determined in 189 of the 261 neurons. The majority of these neurons (161/189; 85%) modulated their activity in response to movement confined to a single joint; the remaining neurons displayed multijoint motor responses, their activity being best related to a motor act, such as grasping, reaching, or feeding. There was no clear segregation in the representation of body parts in the VLa nucleus to suggest the presence of clearly defined somatotopy. 5. The activities of wrist-related neurons (45 of the 261) were examined to determine the motor characteristics of the VLa nucleus. Three distinctive activity patterns were exhibited by these neurons during the performance of the movement paradigms: 1) a phasic burst of < 300 ms in duration (34/45; 76%); 2) a sustained change in neural activity lasting > 300 ms (typically up to 1,000 ms; 4/45; 9%); and 3) both a phasic and a sustained response, the sustained response occurring either prior or subsequent to the phasic response (7/45; 15%). 6. The movement-related activity of the wrist-related neurons occurred late, 52% firing after the onset of the forearm electromyogram (EMG). In 47% of the neurons, discharge rate was related to movement direction and, in a smaller proportion (13%), joint position. No relationship was found between neural activity patterns and amplitude of movement or velocity of movement. (ABSTRACT TRUNCATED AT 400 WORDS)