It is widely thought that emotional stimuli receive privileged neural status compared to their non-affective counterparts. This prioritization, however, comes at a cost, as the neural capacity of the human brain is finite; the prioritization of any one object comes at the expense of other concurrent objects in the visual array competing for awareness (Desimone & Duncan, 1995). Despite this reality, little work has examined the functional benefit derived from the perceptual prioritization of affective information. Why do we preferentially attend to emotional faces? According to evolutionary accounts, emotions originated as adaptations towards action, helping to prepare the organism for movement (Darwin, 1872; Frijda, 1986). The current dissertation examines this from the perceptive of visual neuroscience and motor cognition. Chapters 1 and 2 examine the mechanisms involved during the perceptual prioritization of emotional content in the context of action system modulation. Chapters 3 and 4 then directly examine emotions effect on oculomotor action output. Results across the studies are discussed in the context of evolutionary theories related to biological origins of emotional expression.

It is widely thought that emotional stimuli receive privileged neural status compared to their non-affective counterparts. This prioritization, however, comes at a cost, as the neural capacity of the human brain is finite; the prioritization of any one object comes at the expense of other concurrent objects in the visual array competing for awareness (Desimone & Duncan, 1995). Despite this reality, little work has examined the functional benefit derived from the perceptual prioritization of affective information. Why do we preferentially attend to emotional faces? According to evolutionary accounts, emotions originated as adaptations towards action, helping to prepare the organism for movement (Darwin, 1872; Frijda, 1986). The current dissertation examines this from the perceptive of visual neuroscience and motor cognition. Chapters 1 and 2 examine the mechanisms involved during the perceptual prioritization of emotional content in the context of action system modulation. Chapters 3 and 4 then directly examine emotions effect on oculomotor action output. Results across the studies are discussed in the context of evolutionary theories related to biological origins of emotional expression.

During centrally orchestrated movements, the nervous system must distinguish between appropriate and inappropriate reflexes. I studied local postural flexion reflexes of the crayfish that are evoked by unexpected touch. An isolated abdomen was used which permitted recording and stimulating of tailfan afferents, nerve cord interneurons, and postural motor neurons. Stimulation of the afferents evoked a postural flexion response of the medium tonic and large phasic motor neurons of the superficial flexor nerve; a flexion motor program was then excited by stimulating descending interneurons. Afferent stimulation evoked a smaller motor response during the motor program than before or after. These results indicate that the postural reflex responses to sensory stimulation are inhibited at a site presynaptic to the motor neurons during the flexion motor program. Application of Picrotoxin (blocked inhibition) to the primary afferent-to-mechanosensory interneuron synapse did not prevent the modulation of the postural flexion reflex during the flexion motor program.

The neural mechanisms underlying vocal motor control are poorly understood in mammalian systems. Particularly lacking are details pertaining to the mechanisms and neuroanatomical basis of sensory-motor integration and vocal plasticity, both of which are thought to be essential for evolutionarily advanced vocal behaviors like birdsong or human speech. Based on clinical evidence and imaging studies in humans, as well as its known significance for motor control in general, the basal ganglia (BG) have been hypothesized as a key site for audio-vocal integration, but direct evidence of this is lacking. In this dissertation, I will fill this gap by providing experimental evidence that the basal ganglia are an important component of the forebrain vocal motor pathway. First, I present two examples of vocal plasticity in Tadarida brasiliensis that can serve as powerful behavioral assays of audio-vocal integration. Secondly I provide evidence of BG functions in audio-vocal integration by knocking down striatal dopamine levels with the neurotoxin 1-methyl-4-phenyl-1,2,3,6 tetrahydropyrridine (MPTP). Finally, I will utilize the D1-type receptor specific agonist SKF82958 and antagonist SCH23390 to examine how the direct pathway of the BG regulates vocal production and sensorymotor integration. The behavioral results of these experiments indicate that the bats have a complex and context depended vocal response to noise stimuli that can be used to examine the neurological control of vocal plasticity. Further, the pharmacological evidence demonstrated that the BG was necessary for maintaining and modulating normal muscle force during vocal production. Finally, the mechanism of action in the basal ganglia was found to depend at least partly on activity at D1-type dopamine receptors. The results of this dissertation support the hypothesis that the BG is a critical structure in the modulation of vocal commands in the forebrain vocal-motor pathway. Pathological or pharmacological disruption of dopamine signaling severely degraded the bats abilities to produce natural sounding calls or make adaptive changes to the acoustic environment. These results have implications for research into the treatment of basal ganglia disorders such as Parkinson’s disease, providing an animal model for the study of hypokinetic dysarthria.

As of 2005, there were over 1.5 million amputees living in the United States, more than 548,000 of them with upper extremity involvement. The total number of amputees is projected to rise to at least 2.2 million by 2020. Unfortunately, full functional use of upper extremity prosthetic devices is low. Knowledge gained regarding the cortical systems active in amputees performing motor tasks may reveal atypical motor control strategies that contribute to these issues. Substantial evidence demonstrates a strong dependence on left parietofrontal cortical areas to successfully plan and execute tool-use movements and pantomimes. It was previously unclear how this network functioned in users of prostheses. The hypothesis of this dissertation is that in order to optimally engage the typical parietofrontal network during action imitation with a prosthetic device, the action being imitated should be performed by a matching prosthesis. Also, that greater engagement of the parietofrontal network will result in increased ability to perform tool-use movements. First, this dissertation showed that when imitating motor tasks performed by intact actors, prosthesis users exhibit lower engagement of the parietofrontal action encoding system. This network is crucial for motor adaptation. Left parietofrontal engagement was only observed when prosthesis users imitated matched limb prosthesis demonstrations, which suggests that matched limb imitation may be optimal to establish motor representations. Next, intact subjects donned a fictive amputee model system (FAMS) to simulate the limb movement that transradial amputees experience. Matched limb imitation in FAMS users yielded better movement technique compared to mismatched imitation. Finally, the longitudinal effects of a matched limb training paradigm on the cortical action encoding activity and motor behavior in FAMS users were investigated. Matched limb imitation subjects showed greater engagement of the parietofrontal network and better movement technique compared to those trained with mismatched limb. This dissertation has clinical relevance as it supports the notion that matched limb imitation could play an important role in the performance of motor tasks using a prosthetic device. These findings could be used to inform the development of improved rehabilitation protocols that may lead to greater functional adaptation of prosthetic devices into the lives of amputees.

Understanding possible variations in muscle activation patterns and its functional implications to movement control is crucial for rehabilitation. Inter-/intra-subject variability is often observed in muscle activity used for performing the same task in both healthy and impaired individuals. However, the extent to which muscle activation patterns can vary under specific neuromuscular conditions and differ in function are still not well understood. Current musculoskeletal modeling approaches using optimization techniques to identify a unique solution cannot adequately address such questions. Here I developed a novel computational framework using detailed musculoskeletal model to reveal the latitude the nervous system has in selecting muscle activation patterns for a given task regarding neuromechanical constraints. I focused on isometric hindlimb endpoint force generation task relevant to balance behavior in cats. By identifying the explicit bounds on activation of individual muscles defined by biomechanical constraints, I demonstrate ample range of feasible activation patterns that account for experimental variability. By investigating the possible neuromechanical bases of using the same muscle activation pattern across tasks, I demonstrate that demand for generalization can affect the selection of muscle activation pattern. By characterizing the landscape of the solution space with respect to multiple functional properties, I demonstrate a possible trade-off between effort and stability. This framework is a useful tool for understanding principles underlying functional or impaired movements. We may gain valuable insights to developing effective rehabilitation strategies and biologically-inspired control principles for robots.

A computational neural and biomechanical system for human bicycle pedaling is developed in order to study the interaction between the central nervous system and the biomechanical system. It consists of a genetic algorithm, artificial neural network, muscle system, and skeletal system. Our first finding is that the genetic algorithm is a robust tool to formulate human movement. We also find that our developed models are able to handle mechanical perturbation and neural noise. In addition, we observe variability and repeatability of pedaling motion with or without perturbation and noise. Movement phase dependent feedback nature is seen through computation too. This system shows many human movement qualities and is useful for further neural and motor control investigations. / text

Electrical potentials are the fundamental currency of communication in the nervous system. The advanced executive functions of the prefrontal cortex and the motor commands delivered to the neuromuscular junction, though involved with very different aspects of behavior, both rely on time-varying electrical signals. It is possible to "listen to" the internal communications of the nervous system by measuring the electrical potentials in the extra-cellular space. However, this is only meaningful if there is some way to interpret these signals, which are incredibly complicated and information rich. This dissertation represents an attempt to decode some of these signals in order to reveal their significance for behavior and function. The first study is an investigation of the relationship between different elements of the local field potential in the prefrontal cortex and memory consolidation. It is shown that certain electrographic signatures of non-rapid eye movement sleep, namely K-complexes and low-voltage spindles, are correlated with neuronal replay of recent experiences. It is also shown that the global fluctuations of activity in the population of cells, known as up/down states, is correlated with neuronal replay. Finally, it is shown that high-voltage spindles are not correlated with memory replay, and are therefore functionally different from low-voltage spindles. The second study focuses on the relationship between movements of the upper limb and the coordinated neural control, as measured by the electromyogram (EMG), of the muscles generating that movement. We show that different probability-based models can be used to predict what the pattern of EMG in the different muscles will be for any given kinematic state of the hand. In the third study it is demonstrated that the kinematic output associated with a particular pattern of EMG can be reproduced with electrical stimulation. Thus, it is not only possible to understand the commands issued by the nervous system, it is also possible to issue commands by interfacing with the nervous system directly. Finally, the design for an experiment that would combine EMG prediction with translation of EMG into electrical stimulus patterns is presented. The objective of this study would be to use these methods to fully control the upper limb in a way that would be useful for a functional electrical stimulation-based neuroprosthetic for spinal cord injured patients.

A size-weight illusion (SWI) occurs when a large object and small object of equal mass but different volume are lifted and the small object is perceived as heavier than the large object. All previous studies of the SWI used similar coloured objects and found that individuals initially use more force to lift the large object, compared to the small object but then use similar forces for the two objects on subsequent lifts. In contrast to the change in lifting forces over trials, the perceptual illusion stays consistent across all trials. The goal of the current study was to determine if introducing different colours for the SWI stimuli could alter participants’ expectations about the masses of the two objects and therefore modify the perceptual SWI. Participants lifted SWI stimuli that were either identical in colour or stimuli of different colour.

A recent theory of motor control, based on optimal feedback control, posits that voluntary motor behaviour involves the sophisticated manipulation of sensory feedback. Although this theory can explain how people move in the world, it does not specifically describe how this control process is implemented by the nervous system. In this thesis, we propose and explore one physiological implication of this theory. Specifically, we hypothesize that rapid feedback responses should possess the key functional attributes of voluntary control because these two systems share a common neural pathway through motor areas of cerebral cortex. Our first four studies were designed to elaborate the functional attributes of the long-latency stretch reflex, a fast feedback response which occurs 50-100ms following the mechanical stretch of a muscle. Consistent with our hypothesis, we found that the long-latency response possesses many attributes commonly reserved for voluntary control: the long-latency response is continuously modulated by subject intent (Chapter 2), it compensates for the size-recruitment principle of the motoneuron pool (Chapter 3) and it accounts for the mechanical properties of the upper-limb (Chapter 5). Further investigation revealed that the long-latency response can be decomposed into two functionally-independent processes (Chapter 4), and that one of these components contributes all of the sophistication observed in Chapters 2 and 3. The goal of our fifth study was to investigate the neural basis of the long-latency response (Chapter 6). Our results provide strong evidence from both single-neuron recordings in non-human primates and transcranial magnetic stimulation in humans that primary motor cortex, which is known to be a critical node for voluntary control, also contributes to the sophistication of the long-latency response. Taken together, the studies presented in this thesis demonstrate that the long- latency response possesses several functional attributes typically reserved for voluntary control and that this sophistication likely arises via a transcortical pathway through primary motor cortex. / Thesis (Ph.D, Neuroscience Studies) -- Queen's University, 2011-01-18 09:19:24.579