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Results of the benchmark experiment

Results of the benchmark experiment

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Expyriment is an open-source and platform-independent lightweight Python library for designing and conducting timing-critical behavioral and neuroimaging experiments. The major goal is to provide a well-structured Python library for script-based experiment development, with a high priority being the readability of the resulting program code. Expyri...

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... the response was recorded, the next trial started after a delay of 100 ms. Table 1 lists the main results of the benchmark experiment. On both Windows and Linux systems, the average response to a visual stimulus presentation was reliably below 2 ms. ...

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... The fixation cross was shown using Expyriment in Python (version 3.7.16; Krause and Lindemann, 2014). ...
... The experiment was executed using Expyriment in Python using an adjusted script from Linda de Voogd (version 3.7.16; Krause and Lindemann, 2014). ...
... The experiment was executed using Expyriment in Python using a script adjusted from Linda de Voogd (version 3.7.16; Krause and Lindemann, 2014). ...
Thesis
Introduction The connectivity between the spinal cord and the brain is an important pathway for motor and sensory processing. Sensory and motor preparatory processing is particularly relevant under threat when fast defensive responses such as freezing are generated and motor inhibition, as well as sensory upregulation, have to be orchestrated. Objective This study aims to investigate the role of corticospinal networks during threat. Methods We administered a resting-state scan and three threat-related tasks, while spinal cord and brain activity were measured simultaneously using a special functional magnetic resonance imaging sequence. This thesis specifically focused on resting-state functional magnetic resonance imaging to validate the newly implemented sequence and replicate earlier work by Vahdat et al. (2020). Results Analysis among the first 16 participants, revealed connectivity patterns between the dorsal spinal cord horn and brain areas such as the primary sensory cortex and posterior cingulate cortex, whereas the ventral spinal cord horn was connected to frontal areas and the thalamus. However, a convincing dorsoventral segmentation to sensory and motor-related brain areas was lacking. Contralateral properties could partly be observed as the left spinal cord hemicord was preferably connected to the right brain hemisphere, but the right spinal cord hemicord also showed a preference for the right brain hemisphere. Moreover, 10 out of 40 independent components showed significant activation in the spinal cord and brain, mainly the midbrain and cerebellum, but large sensory or motor resting-state networks remained absent. Discussion. In general, the data partly conform to the functional skeleton between the brain and spinal cord. The new dedicated sequence can therefore be partly validated and the research of Vahdat et al. (2020) can be partly replicated. Means to improve data quality, normalization, and co-registration are discussed.