Studying the Behaviour of Model of Mirror Neuron System in Case of Autism

Several experiment done by the researchers conducted that autism is caused by the dysfunctional mirror neuron system and the dysfunctions of mirror neuron system is proportional to the symptom severity of autism. In the present work those experiments were studied as well as studying a model of mirror neuron system called MNS2 developed by a research group. This research examined the behavior of the model in case of autism and compared the result with those studies conducting dysfunctions of mirror neuron system in autism. To perform this, a neural network employing the model was developed which recognized the three types of grasping (faster, normal and slower). The network was implemented with back propagation through time learning algorithm. The whole grasping process was divided into 30 time steps and different hand and object states at each time step was used as the input of the network. Normally the network successfully recognized all of the three types of grasps. The network required more times as the number of inactive neurons increased. And in case of maximum inactive neurons of the mirror neuron system the network became unable to recognize the types of grasp. As the time to recognize the types of grasp is proportional to the number of inactive neurons, the experiment result supports the hypothesis that dysfunctions of MNS is proportional to the symptom severity of autism

Studying the Behaviour of Model of Mirror Neuron System in Case of Autism

Several experiment done by the researchers conducted that autism is caused by the dysfunctional mirror neuron system and the dysfunctions of mirror neuron system is proportional to the symptom severity of autism. In the present work those experiments were studied as well as studying a model of mirror neuron system called MNS2 developed by a research group. This research examined the behavior of the model in case of autism and compared the result with those studies conducting dysfunctions of mirror neuron system in autism. To perform this, a neural network employing the model was developed which recognized the three types of grasping (faster, normal and slower). The network was implemented with back propagation through time learning algorithm. The whole grasping process was divided into 30 time steps and different hand and object states at each time step was used as the input of the network. Normally the network successfully recognized all of the three types of grasps. The network required more times as the number of inactive neurons increased. And in case of maximum inactive neurons of the mirror neuron system the network became unable to recognize the types of grasp. As the time to recognize the types of grasp is proportional to the number of inactive neurons, the experiment result supports the hypothesis that dysfunctions of MNS is proportional to the symptom severity of autism. Keywords— Autism, MNS, mirror neuron, neural network, BPT

Neural basis of motor planning for object-oriented actions: the role of kinematics and cognitive aspects

The project I have carried out in these three years as PhD student pursued the aim of describing the motor preparation activity related to the object oriented actions actually performed. The importance of these studies comes from the lack of literature on EEG and complex movements actually executed and not just mimed or pantomimed. Using the term ‘complex’ here we refer to actions that are oriented to an object with the intent to interact with it. In order to provide a broader idea about the aim of the project, I have illustrated the complexity of the movements and cortical networks involved in their processing and execution. Several cortical areas concur to the plan and execution of a movement, and the contribution of these different areas changes according to the complexity, in terms of kinematics, of the action. The object-oriented action seems to be a circuit apart: besides motor structures, it also involves a temporo-parietal network that takes part to both planning and performing actions like reaching and grasping. Such findings have been pointed out starting from studies on the Mirror neuron system discovered in monkeys at the beginning of the ‘90s and subsequently extended to humans. Apart from all the speculations this discovery has opened to, many different researchers have started investigating different aspects related to reaching and grasping movements, describing different areas involved, all belonging to the posterior parietal cortex (PPC), and their connections with anterior motor cortices through different paradigms and techniques. Most of the studies investigating movement execution and preparation are studies on monkey or fMRI studies on humans. Limits of this technique come from its low temporal resolution and the impossibility to use self-paced movement, that is, movement performed in more ecological conditions when the subject decides freely to move. On the few studies investigating motor preparation using EEG, only pantomime of action has been used, more than real interactions with objects. Because all of these factors, we decided to get through the description of the motor preparation activity for goal oriented actions pursuing two aims: in the first instance, to describe this activity for grasping and reaching actions actually performed toward a cup (a very ecological object); secondly, we wanted to verify which parameters in these kind of movements are taken into account during their planning and preparation: because of all the variables involved in grasping and reaching movements, like the position of the objects, its features, the goal of the action and its meaning, we tried to verify how these variables could affect motor preparation creating two different experiments. In the first one, subjects were requested to perform a grasping and a reaching action toward a cup and in a third condition we tied up their hands as fist in order to verify what it could happen when people are in the condition of turning an ordinary and easy action into a new one to accomplish the final task requested. In the second experiment, we better accounted for the cognitive aspects beyond the motor preparation of an action. Here, indeed, we tested a very simple action like a key press in two different conditions. In the first one the button press was not related to any kind of consequence, whereas in the second case the same action triggered a video on a screen showing a hand moving toward a cup and grasping it (giving like a video-game effect). Both the experiments have shown results straightening the role cognitive processes have in motor planning. In particular, it seemed that the goal of the action, along with the object we are going to interact with, could create a particular response and activity starting very early in the posterior parietal cortex. Finally, because of the actions used in these experiments, it was important testing the hypothesis that our findings could be generalized even to the observation of those same actions. As I mentioned before, object-oriented actions have received great attention starting from the discovery of the mirror neuron system which showed a correspondence between the cortical activity of the person performing the action with the one produced in the observer. Such a finding allowed to describe our brain as a social brain, able to create a mental representation of what the other person is doing which allows us to understand others gesture and intentions. What we wanted to test in this project was the possibility that such a correspondence between the observer and the actor would had been extended even to the motor preparation period of an upcoming action, giving credit to the hypothesis of considering the human brain as able to even predict others actions and intentions besides understanding them. In the last experiment I carried out in my project, thus, I used the same actions involved in the first experiment but asking this time to observe them passively instead of performing them. The results provided in this study confirmed the cognitive, rather than motor, role the PPC plays in action planning. Indeed, even when no movements are involved, the same structure are active reflecting the activity found in the execution experiment. The main result I have reported in this dissertation is related to the suggestion of a new model to understand the role the PPC has in object-oriented movements. Unlike previous hypothesis and models suggesting the contribution of PPC in extracting affordances from the objects or monitoring and transforming coordinates between us and the object into intention for acting, we suggest here that the role of the parietal areas is more to make a judge about the appropriate match of the action goal with the affordances provided by the object. When actually the action we are going to perform fits well with the object features, the PPC starts its activity, elaborating all those coordinates representation and monitoring the execution and programming phases of movement. This model is well supported by results from both our experiments and well combines the two previous models, but putting more emphasis on the ‘goal-object matching’ function of the PPC and the Superior parietal lobe (SPL) in particular

Perception meets action: fMRI and behavioural investigations of human tool use

Tool use is essential and culturally universal to human life, common to hunter-gatherer and modern advanced societies alike. Although the neuroscience of simpler visuomotor behaviors like reaching and grasping have been studied extensively, relatively little is known about the brain mechanisms underlying learned tool use. With learned tool use, stored knowledge of object function and use supervene requirements for action programming based on physical object properties. Contemporary models of tool use based primarily on evidence from the study of brain damaged individuals implicate a set of specialized brain areas underlying the planning and control of learned actions with objects, distinct from areas devoted to more basic aspects of visuomotor control. The findings from the current thesis build on these existing theoretical models and provide new insights into the neural and behavioural mechanisms of learned tool use. In Project 1, I used fMRI to visualize brain activity in response to viewing tool use grasping. Grasping actions typical of how tools are normally grasped during use were found to preferentially activate occipitotemporal areas, including areas specialized for visual object recognition. The findings revealed sensitivity within this network to learned contextual associations tied to stored knowledge of tool-specific actions. The effects were seen to arise implicitly, in the absence of concurrent effects in visuomotor areas of parietofrontal cortex. These findings were taken to reflect the tuning of higher-order visual areas of occipitotemporal cortex to learned statistical regularities of the visual world, including the way in which tools are typically seen to be grasped and used. These areas are likely to represent an important source of inputs to visuomotor areas as to learned conceptual knowledge of tool use. In Project 2, behavioural priming and the kinematics of real tool use grasping was explored. Behavioural priming provides an index into the planning stages of actions. Participants grasped tools to either move them, grasp-to-move (GTM), or to demonstrate their common use, grasp-to-use (GTU), and grasping actions were preceded by a visual preview (prime) of either the same (congruent) or different (incongruent) tool as that which was then acted with. Behavioural priming was revealed as a reaction time advantage for congruent trial types, thought to reflect the triggering of learned use-based motor plans by the viewing of tools at prime events. The findings from two separate experiments revealed differential sensitivity to priming according to task and task setting. When GTU and GTM tasks were presented separately, priming was specific to the GTU task. In contrast, when GTU and GTM tasks were presented in the same block of trials, in a mixed task setting, priming was evident for both tasks. Together the findings indicate the importance of both task and task setting in shaping effects of action priming, likely driven by differences in the allocation of attentional resources. Differences in attention to particular object features, in this case tool identity, modulate affordances driven by those features which in turn determines priming. Beyond the physical properties of objects, knowledge and intention of use provide a mechanism for which affordances and the priming of actions may operate. Project 3 comprised a neuroimaging variant of the behavioural priming paradigm used in Project 2, with tools and tool use actions specially tailored for the fMRI environment. Preceding tool use with a visual preview of the tool to be used gave rise to reliable neural priming, measured as reduced BOLD activity. Neural priming of tool use was taken to reflect increased metabolic efficiency in the retrieval and implementation of stored tool use plans. To demonstrate specificity of priming for familiar tool use, a control task was used whereby actions with tools were determined not by tool identity but by arbitrarily learned associations with handle color. The findings revealed specificity for familiar tool-use priming in four distinct parietofrontal areas, including left inferior parietal cortex previously implicated in the storage of learned tool use plans. Specificity of priming for tool-action and not color-action associations provides compelling evidence for tool-use-experience-dependent plasticity within parietofrontal areas

Vision, action and language unified through embodiment

Editorial of Psichological Research Special Issue "Vision, action and language unified through embodiment