Prenatal and early-life environmental factors, family demographics and cortical brain anatomy in 5-year-olds: an MRI study from FinnBrain Birth Cohort

The human brain develops dynamically during early childhood, when the child is sensitive to both genetic programming and extrinsic exposures. Recent studies have found links between prenatal and early life environmental factors, family demographics and the cortical brain morphology in newborns measured by surface area, volume and thickness. Here in this magnetic resonance imaging study, we evaluated whether a similar set of variables associates with cortical surface area and volumes measured in a sample of 170 healthy 5-year-olds from the FinnBrain Birth Cohort Study. We found that child sex, maternal pre-pregnancy body mass index, 5 min Apgar score, neonatal intensive care unit admission and maternal smoking during pregnancy associated with surface areas. Furthermore, child sex, maternal age and maternal level of education associated with brain volumes. Expectedly, many variables deemed important for neonatal brain anatomy (such as birth weight and gestational age at birth) in earlier studies did not associate with brain metrics in our study group of 5-year-olds, which implies that their effects on brain anatomy are age-specific. Future research may benefit from including pre- and perinatal covariates in the analyses when such data are available. Finally, we provide evidence for right lateralization for surface area and volumes, except for the temporal lobes which were left lateralized. These subtle differences between hemispheres are variable across individuals and may be interesting brain metrics in future studies

Feasibility of FreeSurfer Processing for T1-Weighted Brain Images of 5-Year-Olds: Semiautomated Protocol of FinnBrain Neuroimaging Lab

Pediatric neuroimaging is a quickly developing field that still faces important methodological challenges. Pediatric images usually have more motion artifact than adult images. The artifact can cause visible errors in brain segmentation, and one way to address it is to manually edit the segmented images. Variability in editing and quality control protocols may complicate comparisons between studies. In this article, we describe in detail the semiautomated segmentation and quality control protocol of structural brain images that was used in FinnBrain Birth Cohort Study and relies on the well-established FreeSurfer v6.0 and ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) consortium tools. The participants were typically developing 5-year-olds [n = 134, 5.34 (SD 0.06) years, 62 girls]. Following a dichotomous quality rating scale for inclusion and exclusion of images, we explored the quality on a region of interest level to exclude all regions with major segmentation errors. The effects of manual edits on cortical thickness values were relatively minor: less than 2% in all regions. Supplementary Material cover registration and additional edit options in FreeSurfer and comparison to the computational anatomy toolbox (CAT12). Overall, we conclude that despite minor imperfections FreeSurfer can be reliably used to segment cortical metrics from T1-weighted images of 5-year-old children with appropriate quality assessment in place. However, custom templates may be needed to optimize the results for the subcortical areas. Through visual assessment on a level of individual regions of interest, our semiautomated segmentation protocol is hopefully helpful for investigators working with similar data sets, and for ensuring high quality pediatric neuroimaging data.</p

Subcortical and hippocampal brain segmentation in 5-year-old children: Validation of FSL-FIRST and FreeSurfer against manual segmentation

Developing accurate subcortical volumetric quantification tools is crucial for neurodevelopmental studies, as they could reduce the need for challenging and time-consuming manual segmentation. In this study, the accuracy of two automated segmentation tools, FSL-FIRST (with three different boundary correction settings) and FreeSurfer, were compared against manual segmentation of the hippocampus and subcortical nuclei, including the amygdala, thalamus, putamen, globus pallidus, caudate and nucleus accumbens, using volumetric and correlation analyses in 80 5-year-olds.Both FSL-FIRST and FreeSurfer overestimated the volume on all structures except the caudate, and the accuracy varied depending on the structure. Small structures such as the amygdala and nucleus accumbens, which are visually difficult to distinguish, produced significant overestimations and weaker correlations with all automated methods. Larger and more readily distinguishable structures such as the caudate and putamen produced notably lower overestimations and stronger correlations. Overall, the segmentations performed by FSL-FIRST's default pipeline were the most accurate, whereas FreeSurfer's results were weaker across the structures.In line with prior studies, the accuracy of automated segmentation tools was imperfect with respect to manually defined structures. However, apart from amygdala and nucleus accumbens, FSL-FIRST's agreement could be considered satisfactory (Pearson correlation > 0.74, intraclass correlation coefficient (ICC) > 0.68 and Dice score coefficient (DSC) > 0.87) with highest values for the striatal structures (putamen, globus pallidus, caudate) (Pearson correlation > 0.77, ICC > 0.87 and DSC > 0.88, respectively). Overall, automated segmentation tools do not always provide satisfactory results, and careful visual inspection of the automated segmentations is strongly advised.</p

Interactional spaces in stationary, mobile, video-mediated and virtual encounters

Abstract In any focused social interaction, people come together, move, and position their bodies with respect to each other, and maintain and change such formations while they interact. Establishing and sustaining such formations makes it possible for them to see and hear others, to show and share objects, and to orient to same features in the environment. Forming copresence and a shared space is core and a precondition to any social interaction. Since the influential work by Adam Kendon (F-formations) and Erving Goffman (participation frameworks, focused encounters, withs) an accumulating body of research has explored — in different interactional settings — the pragmatics of how humans organize themselves spatially for interacting with each other. More recently, Lorenza Mondada (2009) has introduced the term “interactional space” to refer to the dynamic ways in which people not only initiate and establish copresent formations but also continuously (re)organize them with respect to each other, the unfolding activity and material environment. In this chapter, we offer an overview of pragmatics research on spatial arrangements in interaction. We illustrate how people organize their copresence in order to interact with each other in stable, mobile, video-mediated (i.e., distributed) and virtual settings. We explore “interactional space” as a visual phenomenon and thereby focus on situations where participants can (at least partly) see each other

Vuorovaikutuksen näkökulma vieraskielisiin etäopetustilanteisiin:haasteita ja käytänteitä

Millaista vuorovaikutus on tilanteissa, joissa opettaja ja oppijat ovat fyysisesti eri paikoissa? Millaiset käytänteet ovat toimivia? Miten oppijoiden osallistumista ja sitoutumista voidaan parhaiten tukea? Muun muassa näihin etäopetukseen liittyviin kysymyksiin on etsitty kuluneen koronapandemian aikana vastauksia. Vuorovaikutuksen tutkimus on yksi alue, joka voi auttaa ymmärtämään ja kehittämään nykyisiä ja tulevia käytännön ratkaisuja paremmin.nonPeerReviewe

Can reading fluency and self-efficacy of reading fluency be enhanced with an intervention targeting the sources of self-efficacy?

The first aim of the study was to analyze whether reading fluency and self-efficacy of reading fluency (SE-rf) are malleable for children (Grades 3–5) with deficits in fluent reading via a 12-week special education program targeting both reading fluency and the sources of SE-rf (SE-program). The second aim was to investigate whether changes in SE-rf are related to changes in reading fluency. The SE-program (n = 40) was contrasted with the SKILL-program (n = 42) providing training solely in reading fluency. The groups showed equal improvements in reading fluency. Positive change in SE-rf emerged only in the SE-group, and this change was associated with changes in fluency, but the association depended on the reading measure. The findings indicate that a reading fluency intervention supporting self-efficacy by providing concrete feedback and helping children to perceive their progress can yield positive changes in self-efficacy. More research is needed on the variability in intervention responsiveness.peerReviewe

Flow or no flow?:a qualitative study of health behavior change support system

Abstract Recent studies about technology acceptance have highlighted the significance of hedonic values when examining consumer information systems. The flow experience is often taken as a theoretical construct to explain hedonic motivations in Web-related studies. However, regarding consumer healthcare information systems, the relevance of hedonic values has received relatively little attention. In this study Oinas-Kukkonen’s webflow model and its constructs are used to understand user experience in Behavior Change Support Systems (BCSSs) designed to prevent metabolic syndrome. Twelve participants were interviewed after using the system for ten weeks. Our findings suggest that in the area of consumer healthcare information systems, hedonic values are not as important as utilitarian values. This study demonstrates the value of the webflow model as a research framework and contributes to its further development. Methodologically, this paper contributes to a rarely used qualitative approach in studying the flow experience

Developing a system for prevention of metabolic syndrome

Abstract The aim of this presentation is to explain how a behaviour change support system has been developed, what were its core features, how users perceived those features and whether it succeeded to produce desired health outcomes

Persuasive user experiences of a health Behavior Change Support System:a 12-month study for prevention of metabolic syndrome

Abstract Background: Obesity has become a severe health problem in the world. Even a moderate 5% weight loss can significantly reduce the prevalence of metabolic syndrome, which can be vital for preventing comorbidities caused by the obesity. Health Behavior Change Support Systems (hBCSS) emphasize an autogenous approach, where an individual uses the system to influence one’s own attitude or behavior to achieve his or her own goal. Regardless of promising results, such health interventions technology has often been considered merely as a tool for delivering content that has no effect or value of its own. More research on actual system features is required. Objectives: The objective of this study is to describe how users perceive persuasive software features designed and implemented into a support system. Methods: The research medium in this study is a web-based information system designed as a lifestyle intervention for participants who are at risk of developing a metabolic syndrome or who are already suffering from it. The system was designed closely following the principles of the Persuasive Systems Design (PSD) model and the Behavior Change Support Systems (BCSS) framework. A total of 43 system users were interviewed for this study during and after a 52 week intervention period. In addition, the system’s login data and subjects’ Body Mass Index (BMI) measures were used to interpret the results. Results: This study explains in detail how the users perceived using the system and its persuasive features. Self-monitoring, reminders, and tunneling were perceived as especially beneficial persuasive features. The need for social support appeared to grow along the duration of the intervention. Unobtrusiveness was found to be very important in all stages of the intervention rather than only at the beginning. Conclusions: Persuasive software features have power to affect individuals’ health behaviors. Through their systematicity the PSD model and the BCSS framework provide effective support for the design and development of technological health interventions. Designers of such systems may choose, for instance, to implement more self-monitoring tools to help individuals to adjust their personal goals with the system’s offerings better