Neuroscience Theory Research Articles

Improving Patients' Early Mobility Through Innovative Interprofessional Education Using Educational Neuroscience Theory.

Ambulation is one of the most frequently reported components of unfinished nursing care, yet early mobilization can prevent patient deconditioning. This project was designed as an interprofessional mobility training program by using educational neuroscience theory to engage learners in appreciating the need for early ambulation and change behaviors. This article reviews one initiative that incorporated neuroscience and learning science in the teaching methodologies to achieve high rates of successful educational outcomes. [J Contin Educ Nurs. 2021;52(8):362-366.].

IIT's Scientific Counter-Revolution: A Neuroscientific Theory's Physical and Metaphysical Implications.

IIT includes commitments about the very nature of physical reality, a fact both highly unusual for an empirical theory within neuroscience, and surprisingly underappreciated within the literature. These commitments are intimately tied to the theory; they are not incidental. This paper demonstrates as much by raising certain objections in a “naive” way, and then exposing how the principled IIT responses would rely upon metaphysical positions. Along the way we draw on the IIT literature for support for these interpretations, but also point to a need for elaboration and clarification. Section 1 applies the Placement Argument in a way that leads to problem involving zombies, treated in Section 2. Section 3 frames the zombie problem as an apparent dilemma, and addresses that dilemma by drawing on claims in the IIT literature concerning physical reality. Section 4 raises a related dilemma and treats it in a way that dovetails with the treatment in Section 3 of physical reality. All of this underscores not just the breadth of IIT, but the relevance of this breadth to a full consideration of IIT’s merits.

Sex Differences in Functional Connectivity Between Resting State Brain Networks in Autism Spectrum Disorder

Functional brain connectivity (FBC) has previously been examined in autism spectrum disorder (ASD) between-resting-state networks (RSNs) using a highly sensitive and reproducible hypothesis-free approach. However, results have been inconsistent and sex differences have only recently been taken into consideration using this approach. We estimated main effects of diagnosis and sex and a diagnosis by sex interaction on between-RSNs FBC in 83 ASD (40 females/43 males) and 85 typically developing controls (TC; 43 females/42 males). We found increased connectivity between the default mode (DM) and (a) the executive control networks in ASD (vs. TC); (b) the cerebellum networks in males (vs. females); and (c) female-specific altered connectivity involving visual, language and basal ganglia (BG) networks in ASD—in suggestive compatibility with ASD cognitive and neuroscientific theories.

Improved Speech in Noise Perception in the Elderly After 6 Months of Musical Instruction.

Understanding speech in background noise poses a challenge in daily communication, which is a particular problem among the elderly. Although musical expertise has often been suggested to be a contributor to speech intelligibility, the associations are mostly correlative. In the present multisite study conducted in Germany and Switzerland, 156 healthy, normal-hearing elderly were randomly assigned to either piano playing or music listening/musical culture groups. The speech reception threshold was assessed using the International Matrix Test before and after a 6 month intervention. Bayesian multilevel modeling revealed an improvement of both groups over time under binaural conditions. Additionally, the speech reception threshold of the piano group decreased during stimuli presentation to the left ear. A right ear improvement only occurred in the German piano group. Furthermore, improvements were predominantly found in women. These findings are discussed in the light of current neuroscientific theories on hemispheric lateralization and biological sex differences. The study indicates a positive transfer from musical training to speech processing, probably supported by the enhancement of auditory processing and improvement of general cognitive functions.

Mattering and parental presence in systemic therapy using nonviolent resistance: The utilization of imaginary methods.

An empowered sense of "self" is crucial for emotional well-being and positive relationships. Certain family interaction patterns can disrupt the adult's sense of "mattering" to the child, eroding their perceived self-efficacy. Mattering can be understood as a felt sense of relational agency which is necessary for experiencing one's interactions as meaningful, effective, and self-determined. When parents generate more positive future narratives in co-creation with their therapist, their sense of relevance to a child can be restored. In this way, more constructive forms of interaction can emerge with their child which has hitherto eschewed their care. This article aims to provide a conceptual basis for addressing an absence of reciprocity, where children demonstrate harmful or self-destructive behavior and refuse to cooperate in therapy. In such instances, one-sided parental action, utilizing nonviolent resistance methods, can influence relational dynamics. Imaginary methods can then facilitate shifts to psychological states in which the parent internally experiences efficacy and mattering more often without requiring validation from the "physical child" in the here and now. We introduce examples of specific imaginary techniques, which in our clinical practice have shown to facilitate such shifts in parents. We discuss neuroscientific theories that may account for their powerful impact we witness in our clinical experience.

What Do We Mean by Behavioral Disinhibition in Frontotemporal Dementia?

Behavioral variant frontotemporal dementia, unlike other forms of dementia, is primarily characterized by changes in behavior, personality, and language, with disinhibition being one of its core symptoms. However, because there is no single definition that captures the totality of behavioral symptoms observed in these patients, disinhibition is an umbrella term used to encompass socially disruptive or morally unacceptable behaviors that may arise from distinct neural etiologies. This paper aims to review the current knowledge about behavioral disinhibition in this syndrome, considering the cultural factors related to our perception of behavior, the importance of phenomenological interpretation, neuroanatomy, the brain networks involved and, finally, a new neuroscientific theory that offers a conceptual framework for understanding the diverse components of behavioral disinhibition in this neurodegenerative disorder.

Neuroimaging. How to Question Scientific Images and Their Artistic Value

Unquestionable holders of aesthetic content, images have a well-known role even in conveying scientific knowledge. In the present work, we focus on the epistemological role of images within neuroscience. We first analyze the concepts of representation, similarity, and informativeness. Second, we discuss relevant case-studies, i.e., images by functional Magnetic Resonance Imaging, and how the pictorial interventions commonly applied on them might have an impact on their informational content. Finally, we explore the notion of imagination as a relevant faculty for modelling neuroscientific theories and the concept of creativity as an instrument to aesthetically modify brain images. These manipulations enable images to achieve the scientific purpose, altering the relation of similarity between the image and the studied phenomenon. In conclusion, this process leads to rethinking the role of the neuroscientist as an active observer.

Neurophilosophy, Philosophy of Neuroscience, and Philosophy of Artificial Intelligence: The Problem of Distinguishing

Neurophilosophy is understood as different areas of philosophy, for example, the philosophy of neuroscience, the philosophy of artificial intelligence, or eliminative materialism. This excessive interpretation of the term is due to the fact that the understanding of the subject area of this discipline is still incomplete. For example, one of the earliest definitions of neurophilosophy given by P.S. Churchland stated reduction of psychology to neurosciences. In modern views, the idea of neurophilosophy as an attempt to justify eliminative materialism is outdated and does not correspond to reality. The article analyzes the terms “philosophy of neuroscience,” “neurophilosophy,” and “philosophy of artificial intelligence” and also offers a variant of their differentiation. The authors focus on the common and different features, using the example of G.M. Edelman's theory of consciousness and the concept of connectionism for weak artificial intelligence. It is concluded that integral use of the term “neurophilosophy” should be abandoned. As a result, the term “neurophilosophy” should be understood as a direction in philosophy of the early 21st century, applying neuroscientific concepts to solve traditional philosophical problems, while the philosophy of specific neurosciences can be considered primarily as a field in the philosophy of science that formulates and solves problems of specific neurosciences as well as of the entire neuroscientific direction. The philosophy of artificial intelligence is an area in philosophy that answers the question of what non-biological intelligence is and what makes it possible; in other words, it is a philosophical and methodological basis for the study of non-biological intelligence. In the formation of neurosciences and their scientific and philosophical basis, we are still at the first methodological stage of the analysis and differentiation of hypotheses. After some time, there will emerge a philosophy of neuroscience, as the basis of all existing neuroscientific theories, and then this term will acquire greater significance.

Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities

Diverse cognitive processes set different demands on locally segregated and globally integrated brain activity. However, it remains an open question how resting brains configure their functional organization to balance the demands on network segregation and integration to best serve cognition. Here we use an eigenmode-based approach to identify hierarchical modules in functional brain networks and quantify the functional balance between network segregation and integration. In a large sample of healthy young adults (n = 991), we combine the whole-brain resting state functional magnetic resonance imaging (fMRI) data with a mean-filed model on the structural network derived from diffusion tensor imaging and demonstrate that resting brain networks are on average close to a balanced state. This state allows for a balanced time dwelling at segregated and integrated configurations and highly flexible switching between them. Furthermore, we employ structural equation modeling to estimate general and domain-specific cognitive phenotypes from nine tasks and demonstrate that network segregation, integration, and their balance in resting brains predict individual differences in diverse cognitive phenotypes. More specifically, stronger integration is associated with better general cognitive ability, stronger segregation fosters crystallized intelligence and processing speed, and an individual's tendency toward balance supports better memory. Our findings provide a comprehensive and deep understanding of the brain's functioning principles in supporting diverse functional demands and cognitive abilities and advance modern network neuroscience theories of human cognition.

085 Effort Exertion and Good Sleep Interactively Increase the Subjective Value of the Future

Abstract Introduction The present study examined how habitual variation in sleep quality shapes reward responsivity following effort exertion. Behavioural and neuroscientific theory and research suggest that expending effort leads to compensatory increases in reward responsivity. Converging evidence links the preference for larger-but-delayed rewards to increases in reward sensitivity in psychophysiological, psychopharmacological, and animal studies. Accordingly, we hypothesized that exerting mental effort would increase the preference for larger-but-delayed rewards (i.e., the subjective value of the future) insofar as these preferences reflect elevated reward responsivity. Furthermore, given that sleep shapes perceptions of effort and preferences for larger-but-delayed rewards, we hypothesized that this finding would be moderated by habitual variation in sleep quality, with the strongest effects apparent among participants reporting habitually good sleep. Methods To test these hypotheses, we recruited 79 participants to complete a 10-minute effortful (vs. control) writing task followed by a delay discounting task and the Pittsburgh Sleep Quality Index. Results As hypothesized, the effortful writing task (vs. control) participants demonstrated a greater preference for larger-but-delayed rewards (vs. smaller-but-immediate rewards). This effect was moderated by sleep quality with those high but not low in sleep quality showing the hypothesized effect. Conclusion Ultimately, we found that exerting mental effort increases the subjective value of the future, particularly among participants who habitually report good sleep. These results suggest that good sleep quality helps us contend with the effortful demands of daily life in a way that promotes long-term goal pursuit. Support (if any):

Spatial Transcriptomics: Molecular Maps of the Mammalian Brain.

Maps of the nervous system inspire experiments and theories in neuroscience. Advances in molecular biology over the past decades have revolutionized the definition of cell and tissue identity. Spatial transcriptomics has opened up a new era in neuroanatomy, where the unsupervised and unbiased exploration of the molecular signatures of tissue organization will give rise to a new generation of brain maps. We propose that the molecular classification of brain regions on the basis of their gene expression profile can circumvent subjective neuroanatomical definitions and produce common reference frameworks that can incorporate cell types, connectivity, activity, and other modalities. Here we review the technological and conceptual advances made possible by spatial transcriptomics in the context of advancing neuroanatomy and discuss how molecular neuroanatomy can redefine mapping of the nervous system.

Myeloarchitectonic Asymmetries of Language Regions in the Human Brain.

One prominent theory in neuroscience and psychology assumes that cortical regions for language are left hemisphere lateralized in the human brain. In the current study, we used a novel technique, quantitative magnetic resonance imaging (qMRI), to examine interhemispheric asymmetries in language regions in terms of macromolecular tissue volume (MTV) and quantitative longitudinal relaxation time (T1) maps in the living human brain. These two measures are known to reflect cortical myeloarchitecture from the microstructural perspective. One hundred and fifteen adults (55 male, 60 female) were examined for their myeloarchitectonic asymmetries of language regions. We found that the cortical myeloarchitecture of inferior frontal areas including the pars opercularis, pars triangularis, and pars orbitalis is left lateralized, while that of the middle temporal gyrus, Heschl’s gyrus, and planum temporale is right lateralized. Moreover, the leftward lateralization of myelination structure is significantly correlated with language skills measured by phonemic and speech tone awareness. This study reveals for the first time a mixed pattern of myeloarchitectonic asymmetries, which calls for a general theory to accommodate the full complexity of principles underlying human hemispheric specialization.

Embodied Robot Models for Interdisciplinary Emotion Research

Due to their complex nature, emotions cannot be properly understood from the perspective of a single discipline. In this paper, I discuss how the use of robots as models is beneficial for interdisciplinary emotion research. Addressing this issue through the lens of my own research, I focus on a critical analysis of embodied robots models of different aspects of emotion, relate them to theories in psychology and neuroscience, and provide representative examples. I discuss concrete ways in which embodied robot models can be used to carry out interdisciplinary emotion research, assessing their contributions: as hypothetical models, and as operational models of specific emotional phenomena, of general emotion principles, and of specific emotion “dimensions”. I conclude by discussing the advantages of using embodied robot models over other models.

Cognitive mapping: Anchoring our brain’s sense of space in a dynamic world

In complex environments, we rely on knowing our current location and pathways to others in order to flexibly navigate. But viable routes often change. New research suggests how the brain tracks where we are regardless of paths available to us.

Understanding the Progression from Early Alcohol Use Experimentation to Alcohol Use Disorder: Testing Vulnerability by Experience Interactions Using a Two-Part Latent Growth Curve Model.

Most adolescents experiment with alcohol, but a smaller percentage advance to heavy alcohol use (AU) and AU disorder (AUD). Understanding for whom and how early risk leads to AUD is of interest to prevention, treatment, and etiology of AUD. Informed by developmental and behavioral neuroscience theory, the current study tested whether temperament (effortful control, surgency, and negative affect), peer AU (multi-reporter), and AU with parents' permission interacted to distinguish youth who experiment with alcohol from those who escalate to AUD. Community adolescents (N = 765, 53% female) were assessed annually for seven years (Mage = 11.8, range: 10-13 at Year 1; Mage = 18.7; range = 17-20 at year 7). Temperament by early experience interactions were expected to predict amount of AU. Amount of AU was expected to mediate the relationship between the interactions and AUD symptoms (assessed at Years 3 and 7, Mage = 13.8 and 18.7) above and beyond a range of confounds (e.g., problem behavior and parental AU and AUD). Supporting hypotheses, effortful control and surgency interacted with AU with parents' permission and peer AU, respectively, to predict higher amount of AU (R2 = 0.47) and AUD symptoms (R2 = 0.03). Results support developmental and behavioral neuroscience theory. High surgency and low effortful control in conjunction with peer AU and AU with parents' permission were associated with large effects on AU and moderate mediated effects through AU to AUD. AU with parents' permission was risky at low and high effortful control and protective when peers used alcohol.

Neurociencia del aprendizaje y la poiesis somática de la Arquitectura

La neurociencia del aprendizaje es vinculante con la poiesis somática de la arquitectura. Este aspecto se aborda durante la formación profesional del arquitecto a través de la pedagogía y la didáctica. Para demostrarlo, se empleó el método de la teoría fundamentada, documental, con enfoque hermenéutico y temporalidad transaccional. Se recolectaron datos empleando fichas intertextuales aplicadas a la teoría de la neurociencia del aprendizaje y poiesis somática de la arquitectura. Los resultados demostraron que la emoción y el sentimiento de aprendizaje se relacionan con la deliberación somática de la arquitectura por un patrón distintivo: los problemas generan una reacción afectiva en las emociones, a partir de las cuales los sentimientos conceptúan percepciones. Por tanto, la condición de percepción desencadena el rechazo o aceptación del proyecto arquitectónico en vigencia de la toma de decisiones. Se concluyó que la relación existente entre la neurociencia del aprendizaje y la poiesis somática de la arquitectura atañe al proceso mismo de aprendizaje y se fundamenta en la toma de decisiones de diseño en el proyecto arquitectónico a través de la emoción, sentimiento, deliberación e intuición.

Overlooked Tertiary Sulci Serve as a Meso-Scale Link between Microstructural and Functional Properties of Human Lateral Prefrontal Cortex.

Understanding the relationship between neuroanatomy and function in portions of cortex that perform functions largely specific to humans such as lateral prefrontal cortex (LPFC) is of major interest in systems and cognitive neuroscience. When considering neuroanatomical-functional relationships in LPFC, shallow indentations in cortex known as tertiary sulci have been largely unexplored. Here, by implementing a multimodal approach and manually defining 936 neuroanatomical structures in 72 hemispheres (in both males and females), we show that a subset of these overlooked tertiary sulci serve as a meso-scale link between microstructural (myelin content) and functional (network connectivity) properties of human LPFC in individual participants. For example, the posterior middle frontal sulcus (pmfs) is a tertiary sulcus with three components that differ in their myelin content, resting-state connectivity profiles, and engagement across meta-analyses of 83 cognitive tasks. Further, generating microstructural profiles of myelin content across cortical depths for each pmfs component and the surrounding middle frontal gyrus (MFG) shows that both gyral and sulcal components of the MFG have greater myelin content in deeper compared with superficial layers and that the myelin content in superficial layers of the gyral components is greater than sulcal components. These findings support a classic, yet largely unconsidered theory that tertiary sulci may serve as landmarks in association cortices, as well as a modern cognitive neuroscience theory proposing a functional hierarchy in LPFC. As there is a growing need for computational tools that automatically define tertiary sulci throughout cortex, we share pmfs probabilistic sulcal maps with the field.SIGNIFICANCE STATEMENT Lateral prefrontal cortex (LPFC) is critical for functions that are thought to be specific to humans compared with other mammals. However, relationships between fine-scale neuroanatomical structures largely specific to hominoid cortex and functional properties of LPFC remain elusive. Here, we show that these structures, which have been largely unexplored throughout history, surprisingly serve as markers for anatomical and functional organization in human LPFC. These findings have theoretical, methodological, developmental, and evolutionary implications for improved understanding of neuroanatomical-functional relationships not only in LPFC, but also in association cortices more broadly. Finally, these findings ignite new questions regarding how morphological features of these neglected neuroanatomical structures contribute to functions of association cortices that are critical for human-specific aspects of cognition.

Facing up to the Hard Problem of Consciousness as an Integrated Information Theorist

In this paper we provide a philosophical analysis of the Hard Problem of consciousness and the implications of conceivability scenarios for current neuroscientific research. In particular, we focus on one of the most prominent neuroscientific theories of consciousness, integrated information theory (IIT). After a brief introduction on IIT, we present Chalmers’ original formulation and propose our own layered view of the hard problem, showing how 2 separate issues can be distinguished. More specifically, we argue that it’s possible to disentangle a core problem of consciousness from a layered hard problem, the latter being essentially connected to Chalmers’ conceivability argument. We then assess the relation between the Hard Problem and IIT, showing how the theory resists conceivability scenarios, and how it is equipped to face up to the hard problem in its broadest acceptation.

Integration of Learning and Neuroscience Theories with AI-based Technologies in Intelligent Learning System in Accordance of Whiteheadian Tradition and Contemporary Process Theory

The purpose of the article is to present the possibility of integrating basic learning theories into the Extended Intelligent Learning System for data processing, optimization, adaptation and decision making in learning, which is based on the combination of teacher and intelligent tutor with artificial intelligence implemented, which supports the target formation, learning strategy, pedagogy and control. As a framework for the creation of the integrative model of theories, process philosophy is used, which enables a better understanding and explanation of the different paradigms and their functional combination. The article explores the strengths and weaknesses of selected theories and focuses primarily on constructivism, as numerous studies on learning theories have found that a constructive approach to learning is at the heart of many models in both traditional and digital learning in the Era of Big Data. The article explores certain influential learning theories, including the AI methods, their advantages, flaws and fields of intersection with neurosciences in terms of their application in intelligent training systems. The goal of developing the integrative model is to realize the learner's potential in personalized knowledge formation in an intelligent learning environment and to enhance the efficiency of learning.

Глобально-эволюционный подход к сознанию в когнитивной науке

At the present stage of consciousness research, there is an extraordinary variety of models of consciousness proposed by science and philosophy. In this regard, the construction of a typology of consciousness concepts is appropriate, as well as the dialogue of philosophy and cognitive science in the research of consciousness. The article compares the main approaches to the phenomenon of consciousness in cognitive science: neurobiological (neural network), informational (quantum informational), and nonlinear dynamic. The authors propose to include a global evolutionary approach in this typology. The global evolutionary approach is close to a nonlinear dynamic view, but the understanding of consciousness is refined by the inclusion of control parameters that exerted impact to the sociocultural stage of universal evolution. Creativity has a special role to play in this approach. The classification is based on ideas about the real evolution of consciousness and its participation in the global evolutionary process. In such a context, consciousness is understood as a complex self-developing system, but its functioning is conditioned by the cognitive activity of the brain, body, culture, and the world. The article reveals the concepts, in which the explanation of consciousness can be correlated with the global evolutionary approach. They include the emerging modern concepts of embodied cognition, the theory of spatio-temporal neuroscience by G. Nortoff, as well as the concept of consciousness by T. Metzinger. The authors generate the hypothesis about the expediency of using the methodology of the second-order observer to discuss the problem of a unified theory of consciousness. The article indicates the correlation of these theories with the global evolutionary approach, in which the functioning of consciousness is not reduced to neural network structures of the brain, but extended to a view that consciousness is a part of the world and at the same time includes it. Thus, consciousness has a creative evolutionary potential, due to which it builds holistic images and encompasses irrational, creative parameters. The authors suggest a hypothesis about the possibility to combine first-person and third-person studies of consciousness based on the methodology of the second-order observer. In this assumption, they assess consciousness performing the function of an observer on the basis of the methodology of the second-order observer (V.I. Arshinov) and the interpretation of observation as an operation that reproduces the observer (D. Becker). The observer of complexity (the observer of the second order) in this context is consciousness, or rather self-consciousness. The observer simultaneously observes and generates processes, forming a kind of an “assemblage point” of reality, in which the agent-based properties of the observer of complexity are manifested.