Semantic-Aware Coordinated Multiple Views for the Interactive Analysis of Neural Activity Data
(2024)
Visualizing brain simulation data is in many aspects a challenging task. For one, data used in brain simulations and the resulting datasets is heterogeneous and insight is derived by relating all different kinds of it. Second, the analysis process is rapidly changing while creating hypotheses about the results. Third, the scale of data entities in these heterogeneous datasets is manifold, reaching from single neurons to brain areas interconnecting millions. Fourth, the heterogeneous data consists of a variety of modalities, e.g.: from time series data to connectivity data, from single parameters to a set of parameters spanning parameter spaces with multiple possible and biological meaningful solutions; from geometrical data to hierarchies and textual descriptions, all on mostly different scales. Fifth, visualizing includes finding suitable representations and providing real-time interaction while supporting varying analysis workflows. To this end, this thesis presents a scalable and flexible software architecture for visualizing, integrating and interacting with brain simulations data. The scalability and flexibility is achieved by interconnected services forming in a series of Coordinated Multiple View (CMV) systems. Multiple use cases are presented, introducing views leveraging this architecture, extending its ecosystem and resulting in a Problem Solving Environment (PSE) from which custom-tailored CMV systems can be build. The construction of such CMV system is assisted by semantic reasoning hence the term semantic-aware CMVs.
There is ample evidence that the personality trait of extraversion is associated with frequent experiences of positive affect whereas introversion is associated with less frequent experiences of positive affect. According to a theory of Watson et al. (1997), these findings demonstrate that positive affect forms the conceptual core of extraversion. In contrast, several other researchers consider sociability - and not positive affect - as the core of extraversion. The aim of the present work is to examine the relation between extraversion and dispositional positive affect on the neurobiological level. In 38 participants resting cerebral blood flow was measured with continuous arterial spin labeling (CASL). Each participant was scanned on two measurement occasions separated by seven weeks. In addition, questionnaire measures of extraversion and dispositional positive affect were collected. To employ CASL for investigating the biological basis of personality traits, the psychometric properties of CASL blood flow measurements were examined in two studies. The first study was conducted to validate the CASL technique. Using a visual stimulation paradigm, the expected pattern of activity was found, i.e. there were specific differences in blood flow in the primary and secondary visual areas. Moreover, the results in the first measurement occasion could be reproduced in the second. Thus, these results suggest that CASL blood flow measurements have a high degree of validity. The aim of the second psychometric study was to examine whether resting blood flow measurements are characterized by a sufficient trait stability to be used as a marker for personality traits. Employing the latent state-trait theory developed by Steyer and colleagues, it was shown that about 70 % of the variance of regional blood flow could be explained by individual differences in a latent trait. This suggests that blood flow measurements have sufficient trait stability for investigating the biological basis of personality traits. In the third study, the relation between extraversion and dispositional positive affect was investigated on the neurobiological level. Voxel-based analyses showed that dispositional positive affect was correlated with resting blood flow in the ventral striatum, i.e. a brain structure that is associated with approach behavior and reward processing. This biological basis was also found for extraversion. In addition, when extraversion was statistically controlled, the association between dispositional positive affect and blood flow in the ventral striatum was still present. However, when dispositional positive affect was statistically controlled, the relation between extraversion and the ventral striatum disappeared. Taken together, these results suggest that positive affect forms a core of extraversion on the neurobiological level. The present findings thus add psychophysiological evidence to the theory of Watson et al. (1997), which suggests that positive affect forms the conceptual core of extraversion.
Although it has been demonstrated that nociceptive processing can be modulated by heterotopically and concurrently applied noxious stimuli, the nature of brain processes involved in this percept modulation in healthy subjects remains elusive. Using functional magnetic resonance imaging (fMRI) we investigated the effect of noxious counter-stimulation on pain processing. FMRI scans (1.5 T; block-design) were performed in 34 healthy subjects (median age: 23.5 years; range: 20-31 yrs.) during combined and single application (duration: 15 s; ISI=36 s incl. 6 s rating time) of noxious interdigital-web pinching (intensity range: 6-15 N) and contact-heat (45-49 -°C) presented in pseudo-randomized order during two runs separated by approx. 15 min with individually adjusted equi-intense stimuli. In order to control for attention artifacts, subjects were instructed to maintain their focus either on the mechanical or on the thermal pain stimulus. Changes in subjective pain intensity were computed as percent differences (∆%) in pain ratings between single and heterotopic stimulation for both fMRI runs, resulting in two subgroups showing a relative pain increase (subgroup P-IN, N=10) vs. decrease (subgroup P-DE, N=12). Second level and Region of Interest analysis conducted for both subgroups separately revealed that during heterotopic noxious counter-stimulation, subjects with relative pain decrease showed stronger and more widespread brain activations compared to subjects with relative pain increase in pain processing regions as well as a fronto-parietal network. Median-split regression analyses revealed a modulatory effect of prefrontal activation on connectivity between the thalamus and midbrain/pons, supporting the proposed involvement of prefrontal cortex regions in pain modulation. Furthermore, the mid-sagittal size of the total corpus callosum and five of its subareas were measured from the in vivo magnetic resonance imaging (MRI) recordings. A significantly larger relative truncus size (P=.04) was identified in participants reporting a relative decrease of subjective pain intensity during counter-stimulation, when compared to subjects experiencing a relative pain increase. The above subgroup differences observed in functional and structural imaging data are discussed with consideration of potential differences in cognitive and emotional aspects of pain modulation.