Key issues in achieving an integrative perspective on stress

An integrative perspective on molecular mechanisms of stress resistance requires understanding of these mechanisms not just in vitro or in the model organism in the research laboratory — but in the healthy or diseased human in society, in the cultivated plant or animal in agricultural production, and in populations and species in natural communities and ecosystems. Such understanding involves careful attention to the context in which the organism normally undergoes stress, and appreciation that biological phenomena occur at diverse levels of organization (from molecule to ecosystem). Surprisingly, three issues fundamental to achieving an integrative perspective are presently unresolved: (i) Is variation in lower-level traits (nucleotide sequences, genes, gene products) seldom, commonly, or always consequential for stress resistance? (ii) Does environmental stress reduce or enhance genetic variation, which is the raw material of evolution? (iii) Is the present distribution of organisms along natural gradients of stress largely the result of organisms living where they can, or is adaptive evolution generally sufficient to overcome stress? Effective collaboration among disciplinary specialists and meta-analysis may be helpful in resolving these issues.     

Integrating neuroscientific data across spatiotemporal scales

A major challenge confronting neuroscientists is associated with the multiple spatial and temporal scales of investigation of neural structure and function. I shall discuss the use of computational neural modeling as one method to bridge some of the different spatial and temporal levels. This approach will be illustrated using large-scale, neurobiologically realistic network models of auditory and visual pattern recognition that relate neuronal dynamics to fMRI data. It will be demonstrated that the models are capable of exhibiting the salient features of both electrophysiological neuronal activities and fMRI values that are in agreement with empirically observed data.     

Multi-OMICS: a critical technical perspective on integrative lipidomics approaches

During the past decades, high-throughput approaches for analyzing different molecular classes such as nucleic acids, proteins, metabolites, and lipids have grown rapidly. These approaches became powerful tools for getting a fundamental understanding of biological systems. Considering each approach and its results separately, relations and causal connections between these classes have no chance to be revealed, since only separate molecular snapshots are provided. Only a combined approach, not fully established yet, with the integration of the corresponding data, might yield a comprehensive and complete understanding of biological processes, such as crosstalk and interactions in signaling pathways. Taking two or more omics-methods into consideration for analysis is referred to as a multi-omics approach, which is gradually evolving. In this critical note, we briefly discuss the relevance, challenges, current state, and potential of data integration from multi-omics approaches, with a special focus on lipidomics analysis, listing the advantages and gaps in this field. This article is part of a Special Issue entitled: BBALIP_Lipidomics Opinion Articles edited by Sepp Kohlwein.     

Studying insight problem solving with neuroscientific methods

Insights are sporadic, unpredictable, short-lived moments of exceptional thinking where unwarranted assumptions need to be discarded before solutions to problems can be obtained. Insight requires a restructuring of the problem situation that is relatively rare and hard to elicit in the laboratory. One way of dealing with this problem is to catalyze such restructuring processes using solution hints. This allows one to obtain multiple insight events and their accurate onset times, which are required for event-related designs in functional magnetic resonance imaging (fMRI) and Electroencephalogram (EEG), and to reliably record the activity associated with the restructuring component of insight. In this article, we discuss in detail the methodological challenges that brain research on insight poses and describe how we dealt with these challenges in our recent studies on insight problem solving.     

A neuroscientific approach to normative judgment in law and justice

Developments in cognitive neuroscience are providing new insights into the nature of normative judgment. Traditional views in such disciplines as philosophy, religion, law, psychology and economics have differed over the role and usefulness of intuition and emotion in judging blameworthiness. Cognitive psychology and neurobiology provide new tools and methods for studying questions of normative judgment. Recently, a consensus view has emerged, which recognizes important roles for emotion and intuition and which suggests that normative judgment is a distributed process in the brain. Testing this approach through lesion and scanning studies has linked a set of brain regions to such judgment, including the ventromedial prefrontal cortex, orbitofrontal cortex, posterior cingulate cortex and posterior superior temporal sulcus. Better models of emotion and intuition will help provide further clarification of the processes involved. The study of law and justice is less well developed. We advance a model of law in the brain which suggests that law can recruit a wider variety of sources of information and paths of processing than do the intuitive moral responses that have been studied so far. We propose specific hypotheses and lines of further research that could help test this approach.     

The multiple dimensions of urban contexts in an industrial ecology perspective: an integrative framework

The International Journal of Life Cycle Assessment - This article analyses, in an industrial ecology (IE) perspective, urban contexts with specific features, such as a reduced space scale, a hybrid...     

How a growing organismal perspective is adding new depth to integrative studies of morphological evolution

Over the past half century, the field of Evolutionary Developmental Biology, or Evo‐devo, has integrated diverse fields of biology into a more synthetic understanding of morphological diversity. This has resulted in numerous insights into how development can evolve and reciprocally influence morphological evolution, as well as generated several novel theoretical areas. Although comparative by default, there remains a great gap in our understanding of adaptive morphological diversification and how developmental mechanisms influence the shape and pattern of phenotypic variation. Herein we highlight areas of research that are in the process of filling this void, and areas, if investigated more fully, that will add new insights into the diversification of morphology. At the centre of our discussion is an explicit awareness of organismal biology. Here we discuss an organismal framework that is supported by three distinct pillars. First, there is a need for Evo‐devo to adopt a high‐resolution phylogenetic approach in the study of morphological variation and its developmental underpinnings. Secondly, we propose that to understand the dynamic nature of morphological evolution, investigators need to give more explicit attention to the processes that generate evolutionarily relevant variation at the population level. Finally, we emphasize the need to address more thoroughly the processes that structure variation at micro‐ and macroevolutionary scales including modularity, morphological integration, constraint, and plasticity. We illustrate the power of these three pillars using numerous examples from both invertebrates and vertebrates to emphasize that many of these approaches are already present within the field, but have yet to be formally integrated into many research programs. We feel that the most exciting new insights will come where the traditional experimental approaches to Evo‐devo are integrated more thoroughly with the principles of this organismal framework.     

A neuroscientific grasp of concepts: from control to representation

Abstraction denotes the cognitive process by means of which general concepts are formed. The dominant view of abstraction considers it not only as a complex and sophisticated cognitive activity, but also as a distinctive hallmark of mankind. The distinctiveness of abstract thought has indeed been closely related to another feature peculiar to our species: language. Following this perspective, the possibility to entertain conceptual representations is thus precluded to animals devoid of full-blown language. I challenge this view and propose that the representational dynamic of the brain is conceivable as a type of self-organization, in which action plays a crucial part. My aim will be to investigate whether, and to what extent, conceptual knowledge can be attributed to non-linguistic animal species, with particular emphasis on nonhuman primates. I therefore introduce the notion of semantic content as a type of 'relational specification'. A review of recent neurophysiological data on the neural underpinnings of action end-states in the macaque monkey brain is presented. On the basis of this evidence, I propose that conceptual representations can be conceived as the expression of a coherent internal world model. This model decomposes the 'outer' space inhabited by things in a meaningful way only to the extent that it accords to biologically constrained, embodied invariance. Finally, I discuss how the 'comparative' neuroscientific approach to abstraction proposed here may shed some light on its nature and its evolutionary origin.     

Herding,social influence and economic decision-making: socio-psychological and neuroscientific analyses

Typically, modern economics has steered away from the analysis of sociological and psychological factors and has focused on narrow behavioural assumptions in which expectations are formed on the basis of mathematical algorithms. Blending together ideas from the social and behavioural sciences, this paper argues that the behavioural approach adopted in most economic analysis, in its neglect of sociological and psychological forces and its simplistically dichotomous categorization of behaviour as either rational or not rational, is too narrow and stark. Behaviour may reflect an interaction of cognitive and emotional factors and this can be captured more effectively using an approach that focuses on the interplay of different decision-making systems. In understanding the mechanisms affecting economic and financial decision-making, an interdisciplinary approach is needed which incorporates ideas from a range of disciplines including sociology, economic psychology, evolutionary biology and neuroeconomics.     

Creativity meets neuroscience: experimental tasks for the neuroscientific study of creative thinking

The psychometric assessment of different facets of creative abilities as well as the availability of experimental tasks for the neuroscientific study of creative thinking has replaced the view of creativity as an unsearchable trait. In this article we provide a brief overview of contemporary methodologies used for the operationalization of creative thinking in a neuroscientific context. Empirical studies are reported which measured brain activity (by means of EEG, fMRI, NIRS or PET) during the performance of different experimental tasks. These tasks, along with creative idea generation tasks used in our laboratory, constitute useful tools in uncovering possible brain correlates of creative thinking. Nevertheless, much more work is needed in order to establish reliable and valid measures of creative thinking, in particular measures of novelty or originality of creative insights.     

Monitoring Microbial Attachment in Seawater

The attachment activity of microorganisms in seawater was studied by electrochemical and microscopic techniques. It was frequently observed that in natural seawater, the open circuit potential (E_ocp) of stainless steel was ennobled due to biofilm formation on the metal surface. Microscope observation revealed that the ennoblement of the E_ocp value of stainless steel changed linearly with the number of bacteria attached to the metal surface. Considering the fact that E_ocp of copper is almost a constant for a longer time in seawater, a compound electrode was made up of a stainless steel electrode and copper electrode for assessing the attachment of microbes in different seawater media according to the change in the potential difference between the two metals. The results demonstrated a good performance of the compound electrode for this purpose.