A melhor ferramenta para a sua pesquisa, trabalho e TCC!
‣ Fatores associados às alterações morfométricas crânio-encefálicas durante o envelhecimento; Morphometric brain and skull changes during ageing and their related factors
‣ Estudo das alterações microcirculatórias e da evolução do processo inflamatório em modelo de morte encefálica em ratos; Study of microcirculatory alterations and evolution of inflammatory process in a brain death rat model
‣ Influência do hemisfério cerebral lesado e de déficits sensoriais sobre o equilíbrio corporal pós-acidente vascular encefálico; Influence of the injured brain hemisphere and of sensory deficits on body balance post-stroke
‣ cpg2 encodes a brain- and synapse-specific protein that regulates the endocytosis of glutamate receptors; Candidate plasticity gene 2 encodes a brain- and synapse-specific protein that regulates the endocytosis of glutamate receptors
‣ Memory systems of the human brain : dissociations among learning capacities in amnesia
‣ Multiple spatial memories in the brain : decoding and modification using microstimulation
‣ Increased brain lactate is central to the development of brain edema in rats with chronic liver disease
‣ The role of substance P in the progression and complications of secondary brain tumours.
‣ Characterising the role of substance P in human and experimental brain tumours.
‣ Wachstum von Meningeomen an der Hirn-Tumor-Grenze: eine immunhistochemische Studie; Growth of meningiomas at the brain-tumour-interface: an immunohistochemical study
‣ Mikrogliale Reaktion auf hirninvasive Meningeome; Microglial reaction on brain invasive meningioma
‣ Metabolic Brain-Computer Interfaces; Metabolische Gehirn-Komputer Schnittstelle
‣ Treatment with the NK1 antagonist emend reduces blood brain barrier dysfunction and edema formation in an experimental model of brain tumors
‣ Brain Gain : Claims about its Size and Impact on Welfare and Growth Are Greatly Exaggerated
‣ Tacrine and its analogues impair mitochondrial function and bioenergetics : a lipidomic analysis in rat brain
‣ Assessing brain plasticity across the lifespan with transcranial magnetic stimulation: why, how, and what is the ultimate goal?
‣ Plasticity of brain wave network interactions and evolution across physiologic states
‣ Diffusion Tensor Imaging Biomarkers of Brain Development and Disease
Understanding the structure of the brain has been a major goal of neuroscience research over the past century, driven in part by the understanding that brain structure closely follows function. Normative brain maps, or atlases, can be used to understand normal brain structure, and to identify structural differences resulting from disease. Recently, diffusion tensor magnetic resonance imaging has emerged as a powerful tool for brain atlasing; however, its utility is hindered by image resolution and signal limitations. These limitations can be overcome by imaging fixed ex-vivo specimens stained with MRI contrast agents, a technique known as diffusion tensor magnetic resonance histology (DT-MRH). DT-MRH represents a unique, quantitative tool for mapping the brain with unprecedented structural detail. This technique has engendered a new generation of 3D, digital brain atlases, capable of representing complex dynamic processes such as neurodevelopment. This dissertation explores the use of DT-MRH for quantitative brain atlasing in an animal model and initial work in the human brain.
Chapter 1 describes the advantages of the DT-MRH technique, and the motivations for generating a quantitative atlas of rat postnatal neurodevelopment. The second chapter covers optimization of the DT-MRH hardware and pulse sequence design for imaging the developing rat brain. Chapter 3 details the acquisition and curation of rat neurodevelopmental atlas data. Chapter 4 describes the creation and implementation of an ontology-based segmentation scheme for tracking changes in the developing brain. Chapters 5 and 6 pertain to analyses of volumetric changes and diffusion tensor parameter changes throughout rat postnatal neurodevelopment...
‣ Brain-Machine-Brain Interface
Brain-machine interfaces (BMIs) use neuronal activity to control external actuators. As such, they show great promise for restoring motor and communication abilities in persons with paralysis or debilitating neurological disorders.
While BMIs aim to enact normal sensorimotor functions, so far they have lacked afferent feedback in the form of somatic sensation. This deficiency limits the utility of current BMI designs and may hinder the translation of future clinical BMIs, which will need a means of delivering sensory signals from prosthetic devices back to the user.
This dissertation describes the development of brain-machine-brain interfaces (BMBIs) capable of bidirectional communication with the brain. The interfaces consisted of efferent and afferent modules. The efferent modules decoded motor intentions from the activity of populations of cortical neurons recorded with chronic multielectrode recording arrays. The activity of these ensembles was used to drive the movements of a computer cursor and a realistic upper-limb avatar. The afferent modules encoded tactile feedback about the interactions of the avatar with virtual objects through patterns of intracortical microstimulation (ICMS).
I first show that a direct intracortical signal can be used to instruct rhesus monkeys about the direction of a reach to make with a BMI. Rhesus monkeys placed an actuator over an instruction target and obtained...
‣ Numerical Simulation of Primary Blast Brain Injury
Explosions are associated with more than 80% of the casualties in the Iraq and Afghanistan wars. Given the widespread use of thoracic protective armor, the most prevalent injury for combat personnel is blast-related traumatic brain injury (TBI). Almost 20% of veterans returning from duty had one or more clinically confirmed cases of TBI. In the decades of research prior to 2000, neurotrauma was under-recognized as a blast injury and the etiology and pathology of these injuries remains unclear.
This dissertation used the finite element (FE) method to address many of the biomechanics-based questions related to blast brain injuries. FE modeling is a powerful tool for studying the biomechanical response of a human or animal body to blast loading, particularly because of the many challenges related to experimental work in this field. In this dissertation, novel FE models of the human and ferret head were developed for blast and blunt impact simulation, and the ensuing response of the brain was investigated. The blast conditions simulated in this research were representative of peak overpressures and durations of real-world explosives. In general, intracranial pressures were dependent on the peak pressure of the impinging blast wave...