Optimization of proprioceptive stimulation for echo-planar and inverse magnetic resonance imaging

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Piitulainen, Harri
dc.contributor.advisor Koskinen, Miika
dc.contributor.author Krahulec, Daniel
dc.date.accessioned 2017-10-30T08:01:12Z
dc.date.available 2017-10-30T08:01:12Z
dc.date.issued 2017-10-23
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/28530
dc.description.abstract In echo-planar imaging (EPI), the optimal passive movement parameters (rate and duration) for studying proprioceptive brain responses are unknown. The aim of this thesis was to test the effect of stimulus rate on brain responses evoked by proprioceptive stimulation in EPI. In addition, we attempted to develop a measurement protocol for experiments focused on proprioception in ultrafast inverse magnetic resonance imaging (InI) and investigate the amplitude of blood oxygen level-dependent (BOLD) signal at varying stimulus duration. This experimental setup was supposed to be applied in future connectivity studies of the proprioceptive brain network. We found that the optimum rate for right index finger proprioceptive stimulation in EPI varies from 3 to 6 Hz. While we managed to sample the BOLD responses every 100 ms (a 20-fold increase in temporal resolution compared to EPI), the experimental design in InI is challenging due to methodological constraints. Thus, the appropriate stimulation parameters for InI still remain a topic for further research. en
dc.format.extent 42+6
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Optimization of proprioceptive stimulation for echo-planar and inverse magnetic resonance imaging en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Perustieteiden korkeakoulu fi
dc.subject.keyword fMRI en
dc.subject.keyword ultrafast magnetic resonance imaging en
dc.subject.keyword proprioception en
dc.subject.keyword sensory stimulation en
dc.subject.keyword passive movements en
dc.subject.keyword somatosensory cortex en
dc.identifier.urn URN:NBN:fi:aalto-201710307376
dc.programme.major Human Neuroscience and –technology fi
dc.programme.mcode SCI3601 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Parkkonen, Lauri
dc.programme Master’s Programme in Life Science Technologies fi
local.aalto.electroniconly yes
local.aalto.openaccess no

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