Understanding the mechanisms through which the brain represents the body is one of the most challenging issues in neuroscience. Our body is, in fact, a special subject of investigation given its several interacting systems: touch, vision, proprioception, motor behavior, semantic comprehension, emotions etc. We continuously receive top-down and bottom-up information about our own body. These inputs interact to form body representations. Although many studies have attempted to fractionate body representation into different cognitive components (Berlucchi & Aglioti, 2010; deVignemont et al. 2010), as well as to identify their neural correlates, a universally accepted taxonomy (Medina & Coslett, 2010; Longo et al., 2010) is far to be achieved. This dissertation aims to present a series of studies assessing body representation, from both a bottom-up and top-down perspective. These studies mainly focus on 1) summarizing fMRI data from previous studies and exploring the possibility of a neural segregation between different body representations. Results from the first study provide a neural framework within which to investigate how lack of sensorimotor information †" following from loss of bottom-up information (i.e. amputation) †" changes body representation from both a 2) structural and 3) functional point of view. As regards the top-down perspective, the studies presented aimed at 4) investigating the presence of body representation deficits in brain-damaged patients and, in particular, in those affected by personal neglect and 5) identifying the neural underpinnings of body representation in post-stroke patients. The first introductive chapter will provide a general overview of the current definition, classification and neural substrates of body representation. Each following chapter will then provide a more focused introduction about the specific issues investigated in the above-listed experimental studies.

Bottom-up and top-down processes in body representation

2018

Abstract

Understanding the mechanisms through which the brain represents the body is one of the most challenging issues in neuroscience. Our body is, in fact, a special subject of investigation given its several interacting systems: touch, vision, proprioception, motor behavior, semantic comprehension, emotions etc. We continuously receive top-down and bottom-up information about our own body. These inputs interact to form body representations. Although many studies have attempted to fractionate body representation into different cognitive components (Berlucchi & Aglioti, 2010; deVignemont et al. 2010), as well as to identify their neural correlates, a universally accepted taxonomy (Medina & Coslett, 2010; Longo et al., 2010) is far to be achieved. This dissertation aims to present a series of studies assessing body representation, from both a bottom-up and top-down perspective. These studies mainly focus on 1) summarizing fMRI data from previous studies and exploring the possibility of a neural segregation between different body representations. Results from the first study provide a neural framework within which to investigate how lack of sensorimotor information †" following from loss of bottom-up information (i.e. amputation) †" changes body representation from both a 2) structural and 3) functional point of view. As regards the top-down perspective, the studies presented aimed at 4) investigating the presence of body representation deficits in brain-damaged patients and, in particular, in those affected by personal neglect and 5) identifying the neural underpinnings of body representation in post-stroke patients. The first introductive chapter will provide a general overview of the current definition, classification and neural substrates of body representation. Each following chapter will then provide a more focused introduction about the specific issues investigated in the above-listed experimental studies.
2018
Inglese
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/349971
Il codice NBN di questa tesi è URN:NBN:IT:BNCF-349971