Minor and Unsystematic Cortical Topographic Changes of Attention Correlates between Modalities

In this study we analyzed the topography of induced cortical oscillations in 20 healthy individuals performing simple attention tasks. We were interested in qualitatively replicating our recent findings on the localization of attention-induced beta bands during a visual task [1], and verifying whether significant topographic changes would follow the change of attention to the auditory modality. We computed corrected latency averaging of each induced frequency bands, and modeled their generators by current density reconstruction with Lp-norm minimization. We quantified topographic similarity between conditions by an analysis of correlations, whereas the inter-modality significant differences in attention correlates were illustrated in each individual case. We replicated the qualitative result of highly idiosyncratic topography of attention-related activity to individuals, manifested both in the beta bands, and previously studied slow potential distributions [2]. Visual inspection of both scalp potentials and distribution of cortical currents showed minor changes in attention-related bands with respect to modality, as compared to the theta and delta bands, known to be major contributors to the sensory-related potentials. Quantitative results agreed with visual inspection, supporting to the conclusion that attention-related activity does not change much between modalities, and whatever individual changes do occur, they are not systematic in cortical localization across subjects. We discuss our results, combined with results from other studies that present individual data, with respect to the function of cortical association areas

Language in international business: a review and agenda for future research

A fast growing number of studies demonstrates that language diversity influences almost all management decisions in modern multinational corporations. Whereas no doubt remains about the practical importance of language, the empirical investigation and theoretical conceptualization of its complex and multifaceted effects still presents a substantial challenge. To summarize and evaluate the current state of the literature in a coherent picture informing future research, we systematically review 264 articles on language in international business. We scrutinize the geographic distributions of data, evaluate the field’s achievements to date in terms of theories and methodologies, and summarize core findings by individual, group, firm, and country levels of analysis. For each of these dimensions, we then put forward a future research agenda. We encourage scholars to transcend disciplinary boundaries and to draw on, integrate, and test a variety of theories from disciplines such as psychology, linguistics, and neuroscience to gain a more profound understanding of language in international business. We advocate more multi-level studies and cross-national research collaborations and suggest greater attention to potential new data sources and means of analysis

Analysis of Optical Brain Signals Using Connectivity Graph Networks

Graph network analysis (GNA) showed a remarkable role for understanding brain functions, but its application is mainly nar-rowed to fMRI research. Connectivity analysis (CA) is introduced as a signal-to-graph mapping in a time-causality framework. In this paper, we investigate the application of GNA/CA in fNIRS. To solve the inher-ent challenges of using CA, we also propose a novel metric: a maximum cross-lag magnitude (MCLM) that eÿciently extracts major causality in-formation. We tested MCLM in four types of cognitive activities (mental arithmetic, motor imagery, word generation, and brain workload) from 55 participants. CA/MCLM showed a compelling modeling capacity and re-vealed unexpected cross-subject network patterns. We found that motion imagery and mental arithmetic share a background network structure, and that the right prefrontal cortex, in AFp8, is an invariable destina-tion for information flows in every stimuli and participant. Therefore, CA/MCLM-fNIRS showed potential for its use along with fNIRS in clin-ical studies

The impact of ethno-linguistic fractionalization on cultural measures: dynamics, endogeneity and modernization

We introduce a measure called ethno-linguistic fractionalization (ELF), which captures the ethnic and/or linguistic diversity in a country and examine its implications on existing cultural measures. Not only do high levels of fractionalization affect the use of statistical means to account for cultural distance (CD), we show that it is not constant and therefore the dynamics of change need to be addressed. We pursue the study of the dynamics and potential endogeneity through an in-depth case study of South Africa over the course of the twentieth century. There is evidence of processes of modernization whereby economic progress impacts upon ELF. There are also complex interactions between the various measures of fractionalization and other sociopolitical and institutional variables. This provides us with an opportunity to bridge the CD and institutional distance literature as institutions impact upon culture and multinational enterprises, and institutional development is, in turn, affected by these. We call for a more realistic assessment of what is being captured in cultural measures and for recognition of the complexity of the notion of identity formation and its dynamics. Countries may have different underlying cultural schisms, including ELF, and its introduction will allow for a richer exploration of distance and diversity in International Business