How does the ‘environment’ come to the person? The ‘ecology of the person’ and addiction

Cognitive dissonance and mindset perturbations during crisis: "eco-socio-psycho-somatic" perspectives

Mandatory and restrictive health regulations during the corona pandemic caused psychic disorders in many people, which even led to clinically relevant mental disorders. At the same time, there was gradually a polarization of opinions among the population. In order to improve future pandemic management, an integrative understanding of these psychosocial processes therefore seems useful. Here we start theoretically with the mental effects of inconsistencies of the information environment by referring to concepts such as the theory of cognitive dissonance. In a next step, we use the psychodynamic theory to understand the affective-motivational defense mechanisms underlying these cognitive states and processes. However, a broader theoretical framework of psychoanalysis seems to make sense, because self-referential processing also influences the style of thinking. For this reason, we use a more comprehensive psychological systems theoretical framework model to integrate these different perspectives. This integrative view refers in part to basic knowledge of health psychology regarding the resistance of unhealthy ways of thinking and behaviors and the possibilities for interventions for change. We then extend this model to a broader picture that also covers the relationship between men and their environment. This results in the perspective of a multidimensional socioecological theoretical framework, which as a heuristic reference model and related to other ecological approaches could also be helpful for various theoretical questions for public health, and could provide a better public understanding of health issues. In line with this perspective, we hypothesize that with regard to the coronavirus disease 2019 pandemic, the acceptance of public health narratives could be increased if a more consistent picture of the scientific descriptions and explanations of the pandemic - similar to the model proposed - could be provided, which would enable the understanding of the origin, course and countermeasures, and thus could have positive collective psycho-hygienic effects.

The evolution of Big Data in neuroscience and neurology

Neurological diseases are on the rise worldwide, leading to increased healthcare costs and diminished quality of life in patients. In recent years, Big Data has started to transform the fields of Neuroscience and Neurology. Scientists and clinicians are collaborating in global alliances, combining diverse datasets on a massive scale, and solving complex computational problems that demand the utilization of increasingly powerful computational resources. This Big Data revolution is opening new avenues for developing innovative treatments for neurological diseases. Our paper surveys Big Data's impact on neurological patient care, as exemplified through work done in a comprehensive selection of areas, including Connectomics, Alzheimer's Disease, Stroke, Depression, Parkinson's Disease, Pain, and Addiction (e.g., Opioid Use Disorder). We present an overview of research and the methodologies utilizing Big Data in each area, as well as their current limitations and technical challenges. Despite the potential benefits, the full potential of Big Data in these fields currently remains unrealized. We close with recommendations for future research aimed at optimizing the use of Big Data in Neuroscience and Neurology for improved patient outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40537-023-00751-2.

A cultural-ecosocial systems view for psychiatry

While contemporary psychiatry seeks the mechanisms of mental disorders in neurobiology, mental health problems clearly depend on developmental processes of learning and adaptation through ongoing interactions with the social environment. Symptoms or disorders emerge in specific social contexts and involve predicaments that cannot be fully characterized in terms of brain function but require a larger social-ecological view. Causal processes that result in mental health problems can begin anywhere within the extended system of body-person-environment. In particular, individuals' narrative self-construal, culturally mediated interpretations of symptoms and coping strategies as well as the responses of others in the social world contribute to the mechanisms of mental disorders, illness experience, and recovery. In this paper, we outline the conceptual basis and practical implications of a hierarchical ecosocial systems view for an integrative approach to psychiatric theory and practice. The cultural-ecosocial systems view we propose understands mind, brain and person as situated in the social world and as constituted by cultural and self-reflexive processes. This view can be incorporated into a pragmatic approach to clinical assessment and case formulation that characterizes mechanisms of pathology and identifies targets for intervention.

Simulating the mind and applications – a theory-based chance for understanding psychic transformations in somatic symptom disorders

With the new category of somatic symptom disorder/bodily distress disorder in ICD-11, research into pathogenetic and therapeutic pathways is stimulated. By turning away from the definition of somatoform disorders as “the lack of something physical explaining everything”, this new classification might offer a way to put the focus on the individual patient’s psychodynamic balance and conflicts and their condensation in the symptom. Modelling and simulation have a long history in science to gain insight also into complex phenomena. Considering the evolution of precision medicine many different parameters are meanwhile operationalised and ready for consequent process research. Calculation models have to fit to the complexity of this disorder category. In an interdisciplinary discourse between computer and medical/psychoanalytic scientists a multilayer, fine grained calculation model is elaborated. Starting from a clinical case history, within iterative discussion, by acknowledging the demand for interdisciplinary synergy and cooperation in science, psychoanalytic theory served as the basis for computer-scientific information technique. A parallelisation with the Mealy model helped to establish a meaningful calculation possibility for further process research. How psychic transformations can be understood properly in order to provide meaningful treatments, the respective training, and to conduct appropriate process- and outcome-research is established in simulating the mind and applications.