Changes in anatomical brain connectivity between ages 12 and 30: A HARDI study of 467 adolescents and adults

Graph theory can be applied to matrices that represent the brain's anatomical connections, to better understand global properties of anatomical networks, such as their clustering, efficiency and "small-world" topology. Network analysis is popular in adult studies of connectivity, but only one study - in just 30 subjects - has examined how network measures change as the brain develops over this period. Here we assessed the developmental trajectory of graph theory metrics of structural brain connectivity in a cross-sectional study of 467 subjects, aged 12 to 30. We computed network measures from 70×70 connectivity matrices of fiber density generated using whole-brain tractography in 4-Tesla 105-gradient high angular resolution diffusion images (HARDI). We assessed global efficiency and modularity, and both age and age 2 effects were identified. HARDI-based connectivity maps are sensitive to the remodeling and refinement of structural brain connections as the human brain develops.

Sex differences in the human connectome: 4-Tesla high angular resolution diffusion imaging (HARDI) tractography in 234 young adult twins

Cortical connectivity is associated with cognitive and behavioral traits that are thought to vary between sexes. Using high-angular resolution diffusion imaging at 4 Tesla, we scanned 234 young adult twins and siblings (mean age: 23.4 2.0 SD years) with 94 diffusion-encoding directions. We applied a novel Hough transform method to extract fiber tracts throughout the entire brain, based on fields of constant solid angle orientation distribution functions (ODFs). Cortical surfaces were generated from each subject's 3D T1-weighted structural MRI scan, and tracts were aligned to the anatomy. Network analysis revealed the proportions of fibers interconnecting 5 key subregions of the frontal cortex, including connections between hemispheres. We found significant sex differences (147 women/87 men) in the proportions of fibers connecting contralateral superior frontal cortices. Interhemispheric connectivity was greater in women, in line with long-standing theories of hemispheric specialization. These findings may be relevant for ongoing studies of the human connectome.

Anatomy of a trending topic : Methods for the visualisation of retweet chains [Anatomie eines Trending Topics: Methoden zur Visualisierung von Retweet-Ketten]

Twitter and other social networking sites play an ever more present role in the spread of current events. The dynamics of information dissemination through digital network structures are still relatively unexplored, however. At what time an issue is taken up by whom? Who forwards a message when to whom else? What role do individual communication participants, existing digital communities or the technical foundations of each network platform play in the spread of news? In this chapter we discuss, using the example of a video on a current sociopolitical issue in Australia that was shared on Twitter, a number of new methods for the dynamic visualisation and analysis of communication processes. Our method combines temporal and spatial analytical approaches and provides new insights into the spread of news in digital networks. [Social media dienen immer häufger als Disseminationsmechanismen für Medieninhalte. Auf Twitter ermöglicht besonders die Retweet-Funktion den schnellen und weitläufgen Transfer von Nachrichten. In diesem Beitrag etablieren neue methodische Ansätze zur Erfassung, Visualisierung und Analyse von Retweet-Ketten. Insbesondere heben wir hervor, wie bestehende Netzwerkanalysemethoden ergänzt werden können, um den Ablauf der Weiterleitung sowohl temporal als auch spatial zu erfassen. Unsere Fallstudie demonstriert die verbreitung des videoclips einer am 9. Oktober 2012 spontan gehaltenen Wutrede der australischen Premierministerin Julia Gillard, in der sie Oppositionsführer Tony Abbott als Frauenhasser brandmarkte. Durch die Erfassung von Hintergrunddaten zu den jeweiligen NutzerInnen, die sich an der Weiterleitung des Videoclips beteiligten, erstellen wir ein detailliertes Bild des Disseminationsablaufs im vorliegenden Fall. So lassen sich die wichtigsten AkteurInnen und der Ablauf der Weiterleitung darstellen und analysieren. Daraus entstehen Einblicke in die allgemeinen verbreitungsmuster von Nachrichten auf Twitter].

Identity-by-Descent Mapping to Detect Rare Variants Conferring Susceptibility to Multiple Sclerosis

Genome-wide association studies (GWAS) have identified around 60 common variants associated with multiple sclerosis (MS), but these loci only explain a fraction of the heritability of MS. Some missing heritability may be caused by rare variants that have been suggested to play an important role in the aetiology of complex diseases such as MS. However current genetic and statistical methods for detecting rare variants are expensive and time consuming. 'Population-based linkage analysis' (PBLA) or so called identity-by-descent (IBD) mapping is a novel way to detect rare variants in extant GWAS datasets. We employed BEAGLE fastIBD to search for rare MS variants utilising IBD mapping in a large GWAS dataset of 3,543 cases and 5,898 controls. We identified a genome-wide significant linkage signal on chromosome 19 (LOD = 4.65; p = 1.9×10-6). Network analysis of cases and controls sharing haplotypes on chromosome 19 further strengthened the association as there are more large networks of cases sharing haplotypes than controls. This linkage region includes a cluster of zinc finger genes of unknown function. Analysis of genome wide transcriptome data suggests that genes in this zinc finger cluster may be involved in very early developmental regulation of the CNS. Our study also indicates that BEAGLE fastIBD allowed identification of rare variants in large unrelated population with moderate computational intensity. Even with the development of whole-genome sequencing, IBD mapping still may be a promising way to narrow down the region of interest for sequencing priority. © 2013 Lin et al.

Using Bourdieu in education research: Theory and methods

This workshop will snapshot Bourdieu's sociology. In recognition of Bourdieu's work as a powerful theoretical instrument to speculate the reproduction of social orders and cultural values, the workshop will firstly discuss the core concepts of habitus, capital, and field – the foundational triad of Bourdieu's sociology. Although Bourdieu's original work was built on some quantitative studies, his sociology has been largely qualitatively used in education research. Different from the bulk of extant research, the workshop will secondly showcase some quantitative and mixed methods research that uses a Bourdieusian framework. Mindful of such a framework helping understand social practice at a macro level, the workshop will then make an attempt to think through the macro and the micro by weaving together Bourdieu's sociology with Garfinkel's ethnomethodology. The workshop will conclude with some reflections and communications in terms of how to better realise the full value of Bourdieu in education research.

Does size matter? An assessment of quota market evolution and performance in the Great Barrier Reef fin-fish fishery

In fisheries managed using individual transferable quotas (ITQs) it is generally assumed that quota markets are well-functioning, allowing quota to flow on either a temporary or permanent basis to those able to make best use of it. However, despite an increasing number of fisheries being managed under ITQs, empirical assessments of the quota markets that have actually evolved in these fisheries remain scarce. The Queensland Coral Reef Fin-Fish Fishery (CRFFF) on the Great Barrier Reef has been managed under a system of ITQs since 2004. Data on individual quota holdings and trades for the period 2004-2012 were used to assess the CRFFF quota market and its evolution through time. Network analysis was applied to assess market structure and the nature of lease-trading relationships. An assessment of market participants’ abilities to balance their quota accounts, i.e., gap analysis, provided insights into market functionality and how this may have changed in the period observed. Trends in ownership and trade were determined, and market participants were identified as belonging to one out of a set of seven generalized types. The emergence of groups such as investors and lease-dependent fishers is clear. In 2011-2012, 41% of coral trout quota was owned by participants that did not fish it, and 64% of total coral trout landings were made by fishers that owned only 10% of the quota. Quota brokers emerged whose influence on the market varied with the bioeconomic conditions of the fishery. Throughout the study period some quota was found to remain inactive, implying potential market inefficiencies. Contribution to this inactivity appeared asymmetrical, with most residing in the hands of smaller quota holders. The importance of transaction costs in the operation of the quota market and the inequalities that may result are discussed in light of these findings

Sosiaalisen verkostoanalyysin soveltuminen yhteisöllisen verkko-oppimisen tutkimiseen

Tietotekniikan kehittyessä lisääntyy sekä tietotyön tekijöiden tarve että paine tehostaa opetusta tietotekniikan avulla. Tietotyöläisten tarvitsemien taitojen opettamiseen tarvitaan uutta pedagogiikkaa, jossa korostetaan tietojen ja sääntöjen seuraamisen sijaan taitoja, itsenäisyyttä ja oppimaan oppimista. Tietotekniikankäyttäminen opetuksessa tuo omat haasteensa oppimistilanteisiin. Sosiokonstruktiivinen, yhteisöllinenverkko"-oppiminen onkin nousemassa perinteisen opettajajohtoisen opetuksen haastajaksi. Suomessa kehitetty Tutkiva oppiminen on yksi tämän viitekehyksen mukaisista pedagogisista menetelmistä. Koska sosiokonstruktiivinen teoria korostaa ihmisten välisiä suhteita yli yksittäisen ihmisen toiminnan, alan tutkimuksenkin on otettava kantaa tutkimustilanteessa esiintyviin vuorovaikutussuhteisiin. Tähän perinteiset psykologiset ja pedagogiset menetelmät eivät sovellu, kun taas sosiaalitieteissä suhteellisen vanha analyysimenetelmä, SVA eli sosiaalinen verkostoanalyysi, on tarkoitettu nimen\-omaan ihmisryhmien analysoimiseen. SVA:n sovellukset psykologian ja yhteisöllisen oppimisen alueilla ovat kuitenkin vasta alustavia, eikä luotettavaa näyttöä menetelmän soveltumisesta saatika hyödyllisistä tuloksista vielä ole. Tämän tutkimuksen on tarkoitus selvittää, onko SVA sovellettavissa tälle tutkimuksen alueelle. Tässä tutkimuksessa SVA:ta käytettiin 23 peruskoulu- ja lukioluokan Tutkivan oppimisen menetelmällä toteutettujen oppimistilanteiden tutkimiseen. Tulokset osoittavat, että SVA soveltuu yhteisöllisen verkko-oppimisen tutkimiseen, sillä tästä aineistosta löytyi alustavia SVA:n tunnuslukuja, jotka ovat yhteydessä oppimistilanteen laatuun. Tulokset ovat myös pitkälti sosiokonstruktiivisen teorian mukaisia: kurssin hyöty nousee, kun useat oppilaat kirjoittavat korkealaatuisia viestejä ja osallistuvat kattavasti eri keskusteluihin. Avainsanat: Tutkiva oppiminen, sosiokonstruktivismi, pedagogiikka, yhteisöllisyys, yhteisöllinen verkko-oppiminen, Fle3, SVA, sosiaalinen verkostoanalyysi, koulu, opetus.

Verkkokurssilla : Opiskelijoiden kokemuksia toiminnasta yhteisöllisessä oppimisprosessissa Fle2-ympäristössä ja kokemusten näkyminen toimintaan osallistumisessa

The study examines one case of students' experiences from the activity in a collaborative learning process in a networked learning environment, and explores whether or not the experiences explain the participation or lack of participation in the activities. As a research task the students' experiences in the database of the networked learning environment, participating in its construction, and the ways of working needed to build the database, were examined. To contrast the students' experiences, their actual participation in the building of the database was clarified. Based on actual participation, groups more active and more passive than average were separated, and their experiences were compared to each other. The research material was collected from the course Cognitive and Creative Processes, which was offered to studentsof the Department of Textile Teacher Education in University of Helsinki, and students of the Departments of Teacher Education Units giving textile education in Turku, Rauma and Savonlinna in the beginning of 2001. In this course, creativity was examined from a psychological and sosiocultural context with the aim of realizing a collaborative progressive inquiry process. The course was held in a network-based Future Learning Environment (Fle 2) except for the starting lecture and training the use of the learning environment. This study analyzed the learning diaries that the students had sent to the tutor once a week for four weeks, and the final thoughts written into the database of the learning environment. Content analysis was applied as the research method. The case was enriched from another point of view by examining the messages the students had written into the learning environment with the social network analysis. The theoretical base of the study looks at the research of computer-supported collaborative learning, the conceptions of learning as a process of participation and knowledge building, and the possibilities and limitations of network-based learning environments. The research results show, that both using the network-based learning environment and collaborative ways of studying were new to the students. The students were positively surprised by the feedback and support provided by the community. On the other hand, they also experienced problems with facelessness and managing the information in the learning environment. The active students seemed to be more ready for a progressive inquiry process. It can be seen from their attitudes and actions that they have strived to participate actively and invested into the process both from their own and the community's point of view. The more passive students reported their actions to get credits and they had a harder time of perceiving the thoughts presented in the net as common progression. When arranging similar courses in the future, attention should be paid to how to get the students to act in ways necessary for knowledge building, and different from more traditional ways of studying. The difficulties of students used to traditional studying methods to adapt to collaborative knowledge building were evident on the course Cognitive and Creative Processes. Keywords: computer supported collaborative learning, knowledge building, progressive Inquiry, participation

Viisi vuotta tiedonrakentamista yhteisö- ja teknologiaelementtien muovautumisen näkökulmasta

The object of this study was to examine the phenomena of a long-term Knowledge Building process. The subject was OECD/ENSI/FI-project's Knowledge Building in Knowledge Forum®3.4 environment from 8.9.2000 to 8.9.2005. Research was based on socio-cognitive and socio-cultural learning approaches and the theoretical background consisted of models of collaborative learning and knowledge processing. These theoretical applications were first structured using metaphors of language and then assembled into five main theoretical motifs. The main motifs were 1) context, 2) inter-subjective, shared area, 3) community's practices and participation, 4) developing expertise and 5) the sequential construction of processes. These themes were assembled in interpreting the results using the Mutual Shaping of Technological and Social Elements by Boczkowski (1999) as a conceptual tool. The social elements of the mutual shaping process were defined as 1) community structure, 2) discourse and 3) the meanings of activity. The technological elements were defined as 1) shared artefacts, 2) features of technology-use and 3) other technological conventions perceived in activity. The five main theoretical motifs were used as the basis for creating the research problems, which were divided into three themes: 1) shared artefacts, themes of Knowledge Building and participant formation, 2) patterns of participation and interaction and 3) the meanings of activity. As methods I used content analysis of the messages, the quantitative profiling of changes in the database, social network analysis, discourse analysis of selected message threads and theme interviews of eleven participants. Based on my study it's possible to say, that a long-term setting of this kind provides a different perspective on Knowledge Building from most of the previous research. The most valuable conclusions from the data are: 1) The centralisation of interaction in this type of setting is a feature that supports the improvement in the quality of action. 2) The participation in a long-term Knowledge Building process seems to support the concious effort on professional development and the expert-identity. 3) The quality of plasticity of the technology-in-use has implication for how the communal features of activity will develop. The agency is seen to initiate processes that in turn open up new possibilities for the quality of action on both the communal and individual levels.

Description of the pig production systems, biosecurity practices and herd health providers in two provinces with high swine density in the Philippines

A cross-sectional study was conducted between October 2011 and March 2012 in two major pig producing provinces in the Philippines. Four hundred and seventy one pig farms slaughtering finisher pigs at government operated abattoirs participated in this study. The objectives of this study were to group: (a) smallholder (S) and commercial (C) production systems into patterns according to their herd health providers (HHPs), and obtain descriptive information about the grouped S and C production systems; and (b) identify key HHPs within each production system using social network analysis. On-farm veterinarians, private consultants, pharmaceutical company representatives, government veterinarians, livestock and agricultural technicians, and agricultural supply stores were found to be actively interacting with pig farmers. Four clusters were identified based on production system and their choice of HHPs. Differences in management and biosecurity practices were found between S and C clusters. Private HHPs provided a service to larger C and some larger S farms, and have little or no interaction with the other HHPs. Government HHPs provided herd health service mainly to S farms and small C farms. Agricultural supply stores were identified as a dominant solitary HHP and provided herd health services to the majority of farmers. Increased knowledge of the routine management and biosecurity practices of S and C farmers and the key HHPs that are likely to be associated with those practices would be of value as this information could be used to inform a risk-based approach to disease surveillance and control. © 2014 Elsevier B.V.

Allostery and conformational free energy changes in human tryptophanyl-tRNA synthetase from essential dynamics and structure networks

The interdependence of the concept of allostery and enzymatic catalysis, and they being guided by conformational mobility is gaining increased prominence. However, to gain a molecular level understanding of llostery and hence of enzymatic catalysis, it is of utter importance that the networks of amino acids participating in allostery be deciphered. Our lab has been exploring the methods of network analysis combined with molecular dynamics simulations to understand allostery at molecular level. Earlier we had outlined methods to obtain communication paths and then to map the rigid/flexible regions of proteins through network parameters like the shortest correlated paths, cliques, and communities. In this article, we advance the methodology to estimate the conformational populations in terms of cliques/communities formed by interactions including the side-chains and then to compute the ligand-induced population shift. Finally, we obtain the free-energy landscape of the protein in equilibrium, characterizing the free-energy minima accessed by the protein complexes. We have chosen human tryptophanyl-tRNA synthetase (hTrpRS), a protein esponsible for charging tryptophan to its cognate tRNA during protein biosynthesis for this investigation. This is a multidomain protein exhibiting excellent allosteric communication. Our approach has provided valuable structural as well as functional insights into the protein. The methodology adopted here is highly generalized to illuminate the linkage between protein structure networks and conformational mobility involved in the allosteric mechanism in any protein with known structure.

Emerging trends at the interface of chemistry and biology: Applications to the design of human therapeutics

This article describes recent developments in the design and implementation of various strategies towards the development of novel therapeutics using first principles from biology and chemistry. Strategies for multi-target therapeutics and network analysis with a focus on cancer and HIV are discussed. Methods for gene and siRNA delivery are presented along with challenges and opportunities for siRNA therapeutics. Advances in protein design methodology and screening are described, with a focus on their application to the design of antibody based therapeutics. Future advances in this area relevant to vaccine design are also mentioned.

Governance theory as a framework for empirical research : a case study on local environmental policy-making in Helsinki, Finland

Governance has been one of the most popular buzzwords in recent political science. As with any term shared by numerous fields of research, as well as everyday language, governance is encumbered by a jungle of definitions and applications. This work elaborates on the concept of network governance. Network governance refers to complex policy-making situations, where a variety of public and private actors collaborate in order to produce and define policy. Governance is processes of autonomous, self-organizing networks of organizations exchanging information and deliberating. Network governance is a theoretical concept that corresponds to an empirical phenomenon. Often, this phenomenon is used to descirbe a historical development: governance is often used to describe changes in political processes of Western societies since the 1980s. In this work, empirical governance networks are used as an organizing framework, and the concepts of autonomy, self-organization and network structure are developed as tools for empirical analysis of any complex decision-making process. This work develops this framework and explores the governance networks in the case of environmental policy-making in the City of Helsinki, Finland. The crafting of a local ecological sustainability programme required support and knowledge from all sectors of administration, a number of entrepreneurs and companies and the inhabitants of Helsinki. The policy process relied explicitly on networking, with public and private actors collaborating to design policy instruments. Communication between individual organizations led to the development of network structures and patterns. This research analyses these patterns and their effects on policy choice, by applying the methods of social network analysis. A variety of social network analysis methods are used to uncover different features of the networked process. Links between individual network positions, network subgroup structures and macro-level network patterns are compared to the types of organizations involved and final policy instruments chosen. By using governance concepts to depict a policy process, the work aims to assess whether they contribute to models of policy-making. The conclusion is that the governance literature sheds light on events that would otherwise go unnoticed, or whose conceptualization would remain atheoretical. The framework of network governance should be in the toolkit of the policy analyst.

Multidimensionality of Actors in Business Networks: The Influence of Social Action in Pharmacy Networks in Finland

In the markets-as-networks approach business networks are conceived as dynamic actor structures, giving focus to exchange relationships and actors’ capabilities to control and co-ordinate activities and resources. Researchers have shared an understanding that actors’ actions are crucial for the development of business networks and for network dynamics. However, researchers have mainly studied firms as business actors and excluded individuals, although both firms and individuals can be seen as business actors. This focus on firms as business actors has resulted in a paucity of research on human action and the exchange of intangible resources in business networks, e.g. social exchange between individuals in social networks. Consequently, the current conception of business networks fails to appreciate the richness of business actors, the human character of business action and the import of social action in business networks. The central assumption in this study is that business actors are multidimensional and that their specific constitution in any given situation is determined by human interaction in social networks. Multidimensionality is presented as a concept for exploring how business actors act in different situations and how actors simultaneously manage multiple identities: individual, organisational, professional, business and network identities. The study presents a model that describes the multidimensionality of actors in business networks and conceptualises the connection between social exchange and human action in business networks. Empirically the study explores the change that has taken place in pharmaceutical retailing in Finland during recent years. The phenomenon of emerging pharmacy networks is highly contemporary in the Nordic countries, where the traditional license-based pharmacy business is changing. The study analyses the development of two Finnish pharmacy chains, one integrated and one voluntary chain, and the network structures and dynamics in them. Social Network Analysis is applied to explore the social structures within the pharmacy networks. The study shows that emerging pharmacy networks are multifaceted phenomena where political, economic, social, cultural, and historical elements together contribute to the observed changes. Individuals have always been strongly present in the pharmacy business and the development of pharmacy networks provides an interesting example of human actors’ influence in the development of business networks. The dynamics or forces driving the network development can be linked to actors’ own economic and social motives for developing the business. The study highlights the central role of individuals and social networks in the development of the two studied pharmacy networks. The relation between individuals and social networks is reciprocal. The social context of every individual enables multidimensional business actors. The mix of various identities, both individual and collective identities, is an important part of network dynamics. Social networks in pharmacy networks create a platform for exchange and social action, and social networks enable and support business network development.

Networks, Organisations and Men: Concepts and Interrelations

Research on men’s networks and homosociality in and around organisations can produce knowledge on organisational power relations, and contribute to the efforts to promote equality in working life. The search for a conceptual framework to study these issues arises in this paper from my ongoing work on men's social networks and gendered power in and around organisations. Men give each other social support through networks in which formal and informal relationships intermingle, but networks are also contexts of competition and oppression, and of construction of masculinities that are in hierarchical relations with each other and with femininities. For studying the networks men have with each other in work organisations I suggest a broader starting point that contextualises these homosocial networks with men’s other personal relations, and integrates different perspectives deriving from social network analysis, critical studies on men and organisational studies.