Research Findings In Neuroscience Research Articles

Mitigating radiation-induced cognitive toxicity in brain metastases: More questions than answers.

The emergence of advanced systemic therapies added to the use of cranial radiation techniques has significantly improved outcomes for cancer patients with multiple brain metastases (BM), leading to a considerable increase in long-term survivors. In this context, the rise of radiation-induced cognitive toxicity (RICT) has become increasingly relevant. In this critical narrative review, we address the controversies arising from clinical trials aimed at mitigating RICT. We thoroughly examine interventions such as memantine, hippocampal avoidance irradiation during BM treatment or ina prophylactic setting, and the assessment of cognitive safety in stereotactic radiosurgery (SRS). Our focus extends to recent neuroscience research findings, emphasizing the importance of preserving not only the hippocampal cortex but also other cortical regions involved in neural dynamic networks and their intricate role in encoding new memories. Despite treatment advancements, effectively managing patients with multiple BM and determining the optimal timing and integration of radiation and systemic treatments remain areas requiring further elucidation. Future trials are required to delineate optimal indications and ensure SRS safety. Additionally, the impact of new systemic therapies and the potential effects of delaying irradiation on cognitive functioning also need to be addressed. Inclusive trial designs, encompassing patients with multiple BM and accounting for diverse treatment scenarios, are essential for advancing effective strategies in managing RICT and the treatment of BM patients.

An in-depth analysis of the polyvagal theory in light of current findings in neuroscience and clinical research.

The polyvagal theory has led to the understanding of the functions of the autonomic nervous system in biological development in humans, since the vagal system, a key structure within the polyvagal theory, plays a significant role in addressing challenges of the mother-child dyad. This article aims to summarize the neurobiological aspects of the polyvagal theory, highlighting some of its strengths and limitations through the lens of new evidence emerging in several research fields-including comparative anatomy, embryology, epigenetics, psychology, and neuroscience-in the 25years since the theory's inception. Rereading and incorporating the polyvagal idea in light of modern scientific findings helps to interpret the role of the vagus nerve through the temporal dimension (beginning with intrauterine life) and spatial dimension (due to the numerous connections of the vagus with various structures and systems) in the achievement and maintenance of biopsychosocial well-being, from the uterus to adulthood.

Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism

Current models on Explainable Artificial Intelligence (XAI) have shown a lack of reliability when evaluating feature-relevance for deep neural biomarker classifiers. The inclusion of reliable saliency-maps for obtaining trustworthy and interpretable neural activity is still insufficiently mature for practical applications. These limitations impede the development of clinical applications of Deep Learning. To address, these limitations we propose the RemOve-And-Retrain (ROAR) algorithm which supports the recovery of highly relevant features from any pre-trained deep neural network. In this study we evaluated the ROAR methodology and algorithm for the Face Emotion Recognition (FER) task, which is clinically applicable in the study of Autism Spectrum Disorder (ASD). We trained a Convolutional Neural Network (CNN) from electroencephalography (EEG) signals and assessed the relevance of FER-elicited EEG features from individuals diagnosed with and without ASD. Specifically, we compared the ROAR reliability from well-known relevance maps such as Layer-Wise Relevance Propagation, PatternNet, Pattern-Attribution, and Smooth-Grad Squared. This study is the first to bridge previous neuroscience and ASD research findings to feature-relevance calculation for EEG-based emotion recognition with CNN in typically-development (TD) and in ASD individuals.

Organization Development and Effectiveness: Essential Female Leadership Competencies for Industry 4.0 Transformation

This paper summarizes and synthesizes research evidence on different women leadership characteristics and behaviors from men and identifies essential female leadership competencies that are necessary to address the new challenges of today’s workplace and the paradigm shifts for female leaders to remain competitive in Industry 4.0. Recent neuroscience and social science research findings regarding women’s leadership characteristics and behaviors were reviewed and discussed. Critical leadership traits, abilities, and skills for (international) business success were studied. Six essential female leadership skill sets for Industry 4.0 were then proposed to provide human resource development practitioners a strategic framework that will be necessary for women leadership development and to promote gender equality in the workplace. Some feminine traits can be women’s leadership strengths such as sensing, listening, accepting, approaching, collaborating, supporting, and encouraging skills. Finally, implications for human resource development and recommendations for future research were provided.

Curriculum Reform for Christian Education (Part 1): A Research-Based Inquiry Design Method (IDMCE)

This is the first article of a two-part series. The article presents a curriculum design reformation for Christian education built upon unit planning and instructional strategies representing the latest findings in neuroscience and educational research. The Inquiry Design Method for Christian Education (IDMCE) is explained and analyzed based upon research-based practices. IDMCE provides a strong foundation for curriculum design in Christian education by targeting student interest and an understanding of Scripture that promotes Christlike transformation.

Implications of postmaterialist theories of consciousness for psychiatry: towards an integral paradigm

Abstract Mental health professionals can help patients understand exceptional and paranormal experiences, integrate them into day-to-day life, and cope with confusion and anxiety that sometimes accompany them. However, a broader clinical perspective and specialized training in clinical parapsychology is needed. In the first part of the paper I argue that psychiatry as currently practiced is limited because it embraces a strictly materialist paradigm, emphasizes treatment over prevention, and relies principally on pharmaceuticals that are often ineffective and/or unsafe. A paradigm shift in psychiatry is taking place that will soon lead to novel concepts of energy and innovations in therapeutic approaches. In the second part of the paper I review the ongoing debate over consciousness, implications of novel understandings of energy for psychiatry, and research findings in physics, neuroscience and parapsychology that are contributing to a postmaterialist paradigm in psychiatry. I comment on an important problem in the philosophy of science called Hempel’s dilemma and argue that future scientific theories of consciousness will probably encounter similar conceptual limits to those faced by current theories. Following Beauregard, Trent and Schwartz (2018) I argue that different categories of theories may be needed to adequately explain the variety of human experiences and I propose an integral paradigm that acknowledges the validity of both conventional scientific explanations and postmaterialist theories of consciousness. Finally, I discuss implications of postmaterialism for research, education and training in psychiatry.

The free will problem: Implications from experimental philosophy, psychology and neuroscience

Throughout history, the phenomenon of free will has mainly been considered from a philosophical perspective, and in the last few decades, it has been investigated in scientific disciplines such as psychology and neuroscience as well. Additionally, some authors suggest that insight into folk intuitions on the problem of free will and determinism would contribute to a better understanding of the phenomenon itself. Lay theories about the free will problem have been empirically examined in experimental philosophy and psychology. The results show that the belief that free will exists is associated with desirable psychological outcomes and that the absence of belief in free will has negative social consequences. Furthermore, the question arises as to how the findings in neuroscience research are presented to society and thus affect free will beliefs. The problem of free will is discussed within experimental philosophy, psychology, and neuroscience.

Overview of Configuring Adaptive Activation Functions for Deep Neural Networks - A Comparative Study

Recently, the deep neural networks (DNN) have demonstrated many performances in the pattern recognition paradigm. The research studies on DNN include depth layer networks, filters, training and testing datasets. Deep neural network is providing many solutions for nonlinear partial differential equations (PDE). This research article comprises of many activation functions for each neuron. Besides, these activation networks are allowing many neurons within the neuron networks. In this network, the multitude of the functions will be selected between node by node to minimize the classification error. This is the reason for selecting the adaptive activation function for deep neural networks. Therefore, the activation functions are adapted with every neuron on the network, which is used to reduce the classification error during the process. This research article discusses the scaling factor for activation function that provides better optimization for the process in the dynamic changes of procedure. The proposed adaptive activation function has better learning capability than fixed activation function in any neural network. The research articles compare the convergence rate, early training function, and accuracy between existing methods. Besides, this research work provides improvements in debt ideas of the learning process of various neural networks. This learning process works and tests the solution available in the domain of various frequency bands. In addition to that, both forward and inverse problems of the parameters in the overriding equation will be identified. The proposed method is very simple architecture and efficiency, robustness, and accuracy will be high when considering the nonlinear function. The overall classification performance will be improved in the resulting networks, which have been trained with common datasets. The proposed work is compared with the recent findings in neuroscience research and proved better performance.

Surviving COVID-19: The Neuroscience of Smart Working and Distance Learning.

The persistence of the coronavirus-caused respiratory disease (COVID-19) and the related restrictions to mobility and social interactions are forcing a significant portion of students and workers to reorganize their daily activities to accommodate the needs of distance learning and agile work (smart working). What is the impact of these changes on the bosses/teachers' and workers/students' experience? This article uses recent neuroscience research findings to explore how distance learning and smart working impact the following three pillars that reflect the organization of our brain and are at the core of school and office experiences: (a) the learning/work happens in a dedicated physical place; (b) the learning/work is carried out under the supervision of a boss/professor; and (c) the learning/work is distributed between team members/classmates. For each pillar, we discuss its link with the specific cognitive processes involved and the impact that technology has on their functioning. In particular, the use of videoconferencing affects the functioning of Global Positioning System neurons (neurons that code our navigation behavior), mirror neurons, self-attention networks, spindle cells, and interbrain neural oscillations. These effects have a significant impact on many identity and cognitive processes, including social and professional identity, leadership, intuition, mentoring, and creativity. In conclusion, just moving typical office and learning processes inside a videoconferencing platform, as happened in many contexts during the COVID-19 pandemic, can in the long term erode corporate cultures and school communities. In this view, an effective use of technology requires us to reimagine how work and teaching are done virtually, in creative and bold new ways.

Les dimensions incarnée et interpersonnelle de la compassion

ObjectiveThe aim of this paper is to review current conceptualizations, assessment measures, and operationalizations of compassion (towards self and others) in order to propose a new theoretically grounded, empirically driven, unified notion of compassion towards self and others. In previous papers published in the Annales Médico-Psychologiques (Khoury, Dionne, & Grégoire, 2019; Khoury, Grégoire, & Dionne, 2020), we conceptualized mindfulness as being both “embodied” and “embedded” in the interpersonal and social context. Drawing on psychological, neurological, and neurophysiological evidence, this article extends these two essential dimensions (embodied and embedded/interpersonal) to compassion for self and others. MethodIn order to investigate the current conceptualizations, measurements, operationalizations of compassion towards self and others, we conducted a thorough qualitative review of theoretical and empirical papers pertaining to compassion from both Eastern Buddhist traditions and Western-based approaches. We put a particular emphasis on neurological and neurophysiological evidence. Different Buddhist and Western conceptualizations of compassion towards self and others are presented, critically reviewed, compared, and discussed and common affective, cognitive, behavioral, and interpersonal components are drawn from these diverse conceptualizations. In addition, assessment measures of compassion towards self and others are presented along with their psychometric qualities and limitations. Multiple compassion-based interventions and programs are also presented and discussed. The role of the body in compassion towards self and others and more specifically the bidirectional mind-body connection is highlighted through the analysis of clinical, behavioral, and neuroscientific research findings. Empirical findings supporting the embodiment of compassion are thoroughly presented and linked to the proposed conceptualization of compassion towards self and others. Finally, we discuss the implications of the new conceptualization of compassion towards self and others as well as the limitations of this conceptualization and future research directions. Results and discussionTheoretical and empirical findings suggest that compassion has both top-down (cognitive) and bottom-up (emotional, somatosensory) dimensions and more precisely can be an integration (convergence) of both dimensions. In addition, the physical body seems to be central in the etiology, development, and expression of compassion. Moreover, neurophysiological evidence suggests that compassion can be behaviorally reinforced. Taken together, this suggests that compassion can be viewed as embodied and can be operationalized as a cognitive, emotional, and behavioral skill/ability that involves both self and others, therefore is embedded in the interpersonal/social context. Similar to mindfulness, compassion can therefore, be considered and integrated state of mind involving emotional, cognitive, and behavioral components. Mindfulness and compassion might also share neurophysiological commonalities, through the integration of top-down and bottom-up processes and the activation of specific vagal pathways as was proposed by the Polyvagal Theory. However, more research is warranted to delineate commonalities and differences between these two contemplative practices. ConclusionsThe new notion of embodied and embedded compassion integrates different conceptualizations of compassion by grounding compassion in common affective, cognitive, behavioral, and interpersonal processes across different conceptualizations. This notion has important implications in conceptualizing and measuring compassion and in devising and validating new compassion-based interventions. Therefore, this notion should be taken in consideration in conducting future research on compassion towards self and others.

We Feel, Therefore We Memorize: Understanding Emotions in Learning Mathematics Using Neuroscience Research Perspectives

Emotionally significant experiences tend to be well remembered in learning Mathematics in the classroom. Recent advances in neuroscientific methods have led to an increased understanding of the neural mechanisms underlying emotions in learning mathematics. The aim of this research is to use neuroscience research perspectives in classroom setting involving students’ emotion in learning Mathematics and its relationship with memory. Therefore, this research examined how students’ emotions in learning Mathematics and its relationship with their memory using mixed–method design. Data from survey (n= 644) and interview informants (n= 6) indicated positive emotions (enjoyment, hope, pride) negative emotions (shame, anger, boredom, anxiety) and memory. Students who accurately identified positive emotions indicated they were more likely to learn Mathematics compared to negative emotions, and findings indicated a strong, positive correlation between positive emotions and memory. Qualitative findings indicated that students who are more likely prefer positive emotions in learning could lead to better memory compared to negative emotions. Moreover, interview data showed that memory performance in Mathematics increased when teacher has embedded positive emotions through the use of humor in teaching, inspiring student with positive words and engaging student in classroom. This study supports neuroscience research findings that positive emotions influence students' memory in learning mathematics. Thus, this study provides insight for teachers to emphasize the importance of positive emotions in learning mathematics as well as reduce negative emotions.

Neuroscience and the Social Origins of Moral Behavior: How Neural Underpinnings of Social Categorization and Conformity Affect Everyday Moral and Immoral Behavior

Neuroscientific evidence identifies the brain networks and cognitive processes involved in people’s thoughts and feelings about their behavior. This helps individuals understand the judgments and decisions they make with regard to their own and others’ moral and immoral behavior. This article complements prior reviews by focusing on the social origins of everyday moral and immoral behavior and reviewing neuroscientific research findings related to social conformity, categorization, and identification to demonstrate (a) when people are motivated by social norms of others to follow particular moral guidelines, (b) what prevents people from considering the moral implications of their actions for others, and (c) how people process feedback they receive from others about the appropriateness of their behavior. Revealing the neural mechanisms involved in the social processes that influence the moral and immoral behaviors people display helps researchers understand why and when different types of interventions aiming to regulate moral behavior are likely to be successful or unsuccessful.

Spatial Effects Over Time-Framed Happiness

The article investigates average marginal effects of intra-urban, urban-remote and perceived spatial differences over time-framed happiness. The study is based on a self-report social survey conducted in Adana which includes three different time frames for happiness, namely at present (short-term), in the last week and in the last 4 weeks (global). Over which, the effects of objective, subjective and social spatial variables through socio-economic and social capital variables are measured using logistic regression models. Based on cognitive neuroscience research findings, the expectations are that perceived aspects of life are more likely related to short-term happiness and objective aspects of life are more likely related to global happiness. The analyses reveal that urban-remote difference is more likely related to higher global happiness; vehicle dependent-others difference is more likely related to higher happiness; perceived spatial factors are more likely related to short-term happiness; lower relative income and higher neighborhood inequality are more likely to decrease global happiness; the unemployed and retired urban residents are more likely to feel less happy and related to global happiness; personal characteristics and socio-economic factors are more likely related to one-week happiness. The implications suggest that policies should be towards the city retirees and the unemployeds who feel less happy, and intensive public transportation areas and their residents who are the most unhappy and more disturbed by air pollution. For policy implementation, we recommend that the authorities discuss the public transport, distance to services, air pollution and unemployment issues, and adopt the retirement adjustment law to eliminate the grievances in the pensions of the retirees.

Neuropsychoanalytic Explorations: Linking Practice, Theory, and Research

ABSTRACTClinical vignettes along with applicable neuroscientific research findings are considered for the purpose of examining the utility of neuropsychoanalysis to psychoanalytic thought and practice. Several fundamental psychoanalytic concepts are revisited along both lines. Among them are: identification, embodiment, attachment, drive, danger situations, dreams, memory, metaphor, conflict, defense. In the process, the metapsychology of the “mental apparatus” gains renewed attention. The article uses instances of three different clinical situations as moments open to neuro-psychoanalytic explorations of several basic psychoanalytic propositions: on the couch; on the phone; in the chair.

Deep sensorimotor learning for RGB-D object recognition

Research findings in cognitive neuroscience establish that humans, early on, develop their understanding of real-world objects by observing others interact with them or by performing active exploration and physical interactions with them. This fact has motivated the so-called “sensorimotor” learning approach, where the object appearance information (sensory) is combined with the object affordances (motor), i.e. the types of actions a human can perform with the object. In this work, the aforementioned paradigm is adopted, and a neuro-biologically inspired two-stream model for RGB-D object recognition is investigated. Both streams are realized as state-of-the-art deep neural networks that process and fuse appearance and affordance information in multiple ways. In particular, three model variants are developed to efficiently encode the spatio-temporal nature of the hand–object interaction, while an attention mechanism that relies on the appearance stream confidence is also investigated. Additionally, a suitable auxiliary loss is proposed for model training, utilized to further optimize both information streams. Experiments on the challenging SOR3D dataset, which consists of 14 object types and 13 object affordances, demonstrate the efficacy of the proposed model in RGB-D object recognition. Overall, the best performing developed model achieves 90.70% classification accuracy, which is further increased to 91.98% when trained using the auxiliary loss. The latter corresponds to 46% relative error reduction compared to the appearance-only classifier performance. Finally, a cross-view analysis on the SOR3D dataset provides valuable feedback for the viewpoint impact on the affordance information.

What Does Neuroscience Tell Us About the Conversion Model of Functional Neurological Disorders?

A dualistic mind-body understanding of functional neurological disorders (FNDs), also known as conversion disorders, has led to the view that the cause of the symptom should be either psychological (psychogenic) or physical (neurogenic-"organic"). One of the most influential psychological approaches is the Freudian model of conversion, which suggests that FNDs arise from a defense process in which emotional stress is converted into physical symptoms. This conversion theory has been challenged in recent years, accompanied by a shift in emphasis toward neuropathophysiological models of FND and away from historical psychological concepts. In this review, the authors consider the contemporary relevance of the conversion model from the neuroscientific perspective to reconcile the role of both psychological and biological factors in FND. A narrative review of recent neuroscientific findings pertaining to the conversion model of FND, encompassing neuroimaging, cognitive psychology, biological markers, and epigenetic studies, was performed. Research on the role of psychological stressors is discussed. Neurobiological mechanisms of repression of traumatic memories and their translation into physical symptoms are then explored. Finally, the role of physical symptoms as a potential protective defense mechanism against social stressors is considered. The authors argue that the conversion concept is consistent with recent neuroscientific research findings, and the model allows psychological and neurobiological concepts to be reconciled within a single account of FND that begins to resolve the dualistic mind-body dichotomy.

The effects of cognitive remediation on cognitive abilities and real-world functioning among people with bipolar disorder: A systematic review: Special Section on “Translational and Neuroscience Studies in Affective Disorders”. Section Editor, Maria Nobile MD, PhD. This Section of JAD focuses on the relevance of translational and neuroscience studies in providing a better understanding of the neural basis of affective disorders.

BackgroundBipolar disorder (BD) is characterized by cognitive impairments that are known to predict psychosocial functioning and quality of life. While cognitive remediation (CR) was originally developed to directly target cognitive symptoms in traumatic brain injury and psychotic illnesses, the efficacy of CR in BD has begun to emerge only in the last decade. Functional Remediation (FR) is an integrated intervention that has been developed to restore psychosocial functioning by means of ecological neurocognitive techniques that involve psychoeducation about cognitive dysfunctions and their impact on the general functioning. Because of the heterogeneity of treatment targets and mechanisms of actions, here we aim to illustrate the effects induced by existing CR/FR approaches in BD. MethodsIn this systematic review, we evaluated cognitive and functional outcomes after CR/FR in studies conducted in BD. ResultsEleven studies met inclusion criteria: 3 RCTs that compared CR/FR to one or more control condition (n = 354), 5 secondary analyses that further examined data from these trials, 2 single-arm studies, and 1 naturalistic study. While features such as the use of computerized training tools and a group-based format recurred across studies, CR/FR paradigms targeting different cognitive and functional domains showed specificity of training focus to outcomes. Effect sizes were in the medium-large range, suggesting that patients with BD respond to treatment at or above the level reported in psychotic patients. Integrated approaches that combined cognitive exercises with group-based experiences were associated with both cognitive and functional improvements. ConclusionsIn this review, we found support for the use of CR/FR paradigms in patients with BD with evidence of cognitive and functional improvements. The scarcity of currently published RCTs as well as of data examining mechanisms of action and neural correlates limits the generalizability of our findings.

A systematic review of the antidepressant effects of glucagon-like peptide 1 (GLP-1) functional agonists: Further link between metabolism and psychopathology: Special Section on “Translational and Neuroscience Studies in Affective Disorders”. Section Editor, Maria Nobile MD, PhD. This Section of JAD focuses on the relevance of translational and neuroscience studies in providing a better understanding of the neural basis of affective

IntroductionAn increasing amount of preclinical and clinical evidence links together metabolic regulations and psychopathological mechanisms, in particular linking mood disorders with changes in Glycogen Synthase Kinase 3 beta and 5′Adenosine Monophosphate-activated Protein Kinase expression and activity. New hypoglycemic drugs, including thiazolidinediones and glucagon-like peptide 1 (GLP-1) functional agonists, which work by these mechanisms, have also been described as potential antidepressants. The putative role of thiazolidinediones in depression has been already supported, but no clear evidence exists yet for GLP-1 functional agonists. We conducted a systematic review and meta-analysis of the literature to describe the effect of GLP-1 functional agonists on depression rating scales and either support or confute a potential antidepressant role. MethodsWe searched the PubMed and Scopus databases for terms related to DPP-4 inhibitors and GLP-1 receptor agonists, and depression, including symptoms and rating scales with acronyms and full names. We included longitudinal interventional and observational studies on GLP-1 functional agonists used for depression symptoms. We applied a random effects meta-analysis on standardized mean differences before-after treatment, comparing GLP-1 functional agonists versus control treatments. ResultsLiterature searches found 815 papers, 8 of which were eligible for meta-analysis. Both control treatments (-0.67, 95%C.I. -0.99 – -0.36, Z = 4.24, p < 0.0001) and GLP-1 functional agonists (-1.28, 95%C.I. -2.34 – -0.21, Z = 2.35, p = 0.02) resulted in a significant reduction of depression rating scores, although GLP-1 functional agonists tended to be superior. When a selection was made, including only studies conducted on diabetic patients that did not exclude depressed patients, the effect of GLP-1 functional agonists (-2.09, 95%C.I. -2.28 – -1.91, Z = 22.5, p < 0.00001) was significantly superior to that of control treatments (-0.57, 95%C.I. -0.66 – -0.49, Z = 13.6, p < 0.00001). DiscussionResults of this meta-analysis must be carefully considered, since the amount of studies available was low and heterogeneity was high. If further trials will confirm this hypothesis, GLP-1 functional agonists may be considered as antidepressants, either as adjuncts or in mono-therapy, with a peculiar value for preventing the adverse metabolic effects of long-term antipsychotic therapies used in rehabilitation.

Review: Patterson, D. and Pardo, M.S., eds. (2016). Philosophical Foundations of Law and Neuroscience. Oxford: Oxford University Press. 272 рp.

The collaborative monograph edited by M.S. Pardo and D. Patterson is dedicated to comprehension of the scientific concerns arisen in the application of neuroscientific research findings in the field of law. The authors discuss the prospects of changing the conceptual system in jurisprudence as a result of theoretical "intrusion" of neurosciences, thus demonstrating that the legal instruments will be inevitably changing provided that the neuroscientific findings are absorbed.The strengthened focus of social science community on brain researches conducted by physiologists, psychologists and neuropathologists has become evident over the last two-three decades and is attributable to technological advances. Since it became possible to monitor cerebral activity in real time mode without any recourse to surgical intervention, many psychologists and philosophers invented a hypothesis about an indispensable and explicit linkage between the behavior (macro-level) and neural, i.e. cellular mechanisms (micro-level). Consistent with this hypothesis, such disciplines as neuromarketing, neuroculturology and neuroethics start to emerge. The main emphasis in each of these disciplines is to observe physical causal interpretation of this or that activity.Neurojurisprudence falls under the scope of this trend too. Potentially, any legal concept and any legal issue may fall within the range of interests of this new discipline. However, the principal legal concern lies not in its subject, which is yet difficult to denote, but in the method. As a main assumption, underpinning all neuropsychological findings for lawyers, serves a reductive mindset (attitude) where the build-up of certain properties at the macro-level (personality) may lead to changes at the micro-level (cellular cerebral structures). This, however, causes a phenomenon where most legal categories lose its own meaning. Thus, a category of free will in case of acknowledging a legal entity as being programmed and subordination of his/her behavior to physical laws becomes a fiction the fact that entails impossibility of imposing legal responsibility. The governmental policy with regard to preventive measures aimed at preventing delinquency becomes not very effective if a will-driven nature of a moral choice is lacking.The monograph under review provides the analysis of neuroscientific challenges in the context of developing sector-wise legal sciences, including criminal law and criminology, presents socio-cultural and moral &amp; ethical implications of the conducted neuroscientific research where the legal behavior of an entity is linked with the functioning of different areas of the brain. The paper provides a broad presentation of findings concerning the impossibility of reducing a legally relevant human behavior down to its mental and cerebral activity, the fact that makes it appealing and useful for lawyers.

Spirituality, Universal Love and Sustainable Behavior

Sustainability is a hot topic widely discussed in many circles of academics, professionals and policy makers worldwide. Technological, institutional and infrastructural changes are often considered to be effective measures in achieving sustainability goals. No doubt all such external changes are necessary; however, they remain inadequate without inner changes that make individual behaviour sustainable. This study points out that the root causes of our unsustainable behaviour is our perceived separateness from fellow human beings and the natural environment, which results in self-centeredness, greed and fear. Research findings in neuroscience suggest that the perceived separateness is an illusion created by our brain. Nevertheless, the brain itself is endowed with the capacity to overcome this separateness by Universal Love. Spirituality is about re-wiring the brain to realize this capacity. Most spiritual practices, both religious and non-religious, represent different methods to achieve this goal.