Mechanisms of mindfulness: Evaluating theories and proposing a model

Clinical interest in mindfulness theories and interventions for the treatment of psychological problems such as anxiety and mood disorders has increased dramatically over the last decade. Alongside this interest relatively little attention has been paid to the hypothesised mechanisms of mindfulness that result in a mindfulness state; practice has outstripped the development of a coherent model of the mechanisms. The Decontextualising Model of Mindfulness (DMM) is proposed here to address this gap. The DMM suggests that mindfulness techniques operate to decontextualise mental events from their web of hierarchically organised levels of abstraction and associated meaning, which opens up the cognitive “space” to introduce more adaptive strategies. The DMM is evaluated in terms of its ability to explain existing theories, cognitive-behaviour therapy, and accepted mechanisms of change in psychotherapy. The DMM aims to stimulate deeper understanding of how mindfulness works so that (1) Mindfulness-Based Interventions (MBIs) are more equipped to induce mindfulness states; (2) the origins of psychopathology may be better understood and therefore more effectively treated; and (3) the causes of psychological well-being may be made more clear and therefore more readily enhanced. The research and theoretical literature as well as the current investigation indicate that in particular self-identity and self-compassion are two areas that warrant further investigation

Evidence-based clinical decision-making : Conceptual and empirical foundations for an integrative psychological and neurobiological transtheoretical metamodel

The dialogue between psychotherapy and neuroscience is ongoing. Previous meta-analytic research suggests that 35% of psychotherapy outcome variance is not fully explained, whereas 30% is attributed to patient variables, 15% to therapeutic relationship, 10% to specific therapeutic techniques, 7% to therapist variables and 3% to other factors (Norcross & Wampold, 2019). Several authors emphasize the need for integrative, metatheoretical or transtheoretical approaches to enhance conceptual understanding of clinical phenomena, augmenting psychotherapy responsiveness to patients’ significant variables, such as maladaptive patterns, states of mind, relational styles, emotional difficulties, neurocognitive deficits, and psychological needs. The present doctoral proposal aims to respond to these claims through the establishment of preliminary conceptual and empirical foundations for an Integrative Psychological and Neurobiological Transtheoretical Metamodel. First, an extensive literature review of the relationships between psychotherapy and neuroscience was performed to establish theoretical and conceptual integration of different components of the presently proposed model. Second, several methodological aspects were described to systematize the complex data acquisition process. Third, seven studies were conducted, and implications of the results were discussed. Fourth, an integrative discussion was elaborated, emphasizing the major and general implications of the results for clinical practice and future research. The first empirical study aimed to develop and/or adapt self-report assessment measures to evaluate several psychological variables (e.g., metacognition, states of mind), which resulted in five scientific articles. Thus, the Metacognitive Self-assessment Scale (Pedone et al., 2017) and the Inventory of Interpersonal Problems – 32 (IIP-32, Barkham et al., 1998) were validated and adapted to European Portuguese. The State of Mind Questionnaire (SMQ, Faustino et al., 2021b, Emotional Processing Difficulties Scale – R (EPDS-R, Faustino et al., in press) and the Clinical Decision-Making Inventory (Faustino & Vasco, in press) were developed. All instruments showed satisfactory psychometric properties. Nevertheless, the SMQ showed low reliability in the composite scales in smaller subsamples. For the second empirical study, the main aims were to explore the complex relationships between early disorder determinants, maladaptive schemas and states of mind, defensive maneuvers and critical consequences, mental skills and processes, and adaptive self-domains. This was performed with Structural Equation Modeling (SEM). Results showed significant sequential and mediational models between maladaptive schemas, defensive maneuvers and dysfunctional consequences, mental abilities and processes, and adaptive self-domains with psychological needs. Maladaptive schemas and states of mind were both predictors and mediators in several models. However, the relationship between maladaptive schematic functioning and symptomatology had less significant mediations with the same variables. For the third study, the main aims were to explore the relationships of early disorder determinants, maladaptive schematic functioning and states of mind, defensive maneuvers and dysfunctional consequences, mental abilities and processes, and adaptive self-domains, with several neurocognitive variables. Executive functions were negatively correlated with maladaptive schematic functioning and with defensive maneuvers and dysfunctional consequences. Memory only correlated with psychological needs, self-confidence and with dysfunctional interpersonal cycles. These results emphasize previous assumptions that there is a difference between self-report questionnaires and neuropsychological assessment measures which may difficult the integrated study of psychological and neurocognitive processes. The fourth study aimed to explore the associations of affective subliminal processing with dispositional states and contextual states, defined in the present work as early disorder determinants, schematic functioning, and defensive maneuvers and dysfunctional consequences, mental abilities and processes, and adaptive self-domains. Results showed strong correlations between maladaptive schematic functioning, coping responses, emotional processing difficulties, and expressive suppression with behavioral responses. Dispositional traits and contextual states seem to be associated with affective processing, especially when it comes to the neutral valence of the subliminal stimuli. ERPs waveforms showed an amplitude modulation with a temporal progression: in the first 100 msec the waveform amplitude was highest to the negative condition; Later on, in the time windows after 350 msec, the neutral condition was the one that elicited the ERPs’ heist amplitude. These indexes a cascade of reactions, first a priority to nonconscious negative stimulation; and after that, a later processing phase of affective-cognitive interpretation (350msc) in which neutral stimuli acquire a meaning according to schemas. The fifth study explored the diagnostic and or transdiagnostic potential of early disorder determinants, maladaptive schematic functioning and states of mind, defensive maneuvers and dysfunctional consequences, mental abilities and processes, and adaptive self-domains. Results showed that only early complex trauma and expressive suppression were not statistically different in two subsamples. Individuals in the low-symptoms sub-sample reported lower levels of maladaptive schematic functioning, defensive maneuvers, and psychological inflexibility than individuals in the higher-symptoms subsample. The sixth study was focused on the exploration of the temporal stability of maladaptive schematic functioning and states of mind, defensive maneuvers and dysfunctional consequences, mental abilities, and adaptive self-domains. Results showed significant differences between moment one and two, with a descending pattern in the mean scores of dysfunctional variables. An inverse pattern was found regarding the adaptive variables. However, mean scores of some variables, such as early maladaptive schemas, emotional schemas, psychological needs, and cognitive reappraisal were not statistically significant. The seventh study aimed to explore associations of early disorder determinants, maladaptive schemas and states of mind, defensive maneuvers and critical consequences, mental skills and processes and adaptive self-domains, with an empirical based clinical profile (e.g., psychotherapy and motivational stage, coping styles). Results showed significant negative correlations between maladaptive schematic functioning and stage process, motivational stage, therapeutic relationship, attachment style, reactance, and coping style. An inverse pattern was found regarding the adaptive variables. These preliminary results seem to support a theoretically- and empirically-based integrative and transtheoretical metamodel focused on unifying psychotherapy and neuroscience into a coherent framework. Further research is required to augment and enhance the presently proposed model

Toward a Theory of Learner-Centered Training Design: An Integrative Framework of Active Learning

[Excerpt] The goal of this chapter, therefore, is to develop an integrative conceptual framework of active learning, and we do this by focusing on three primary issues. First, we define the active learning approach and contrast it to more traditional, passive instructional approaches. We argue that the active learning approach can be distinguished from not only more passive approaches to instruction but also other forms of experiential learning based on its use of formal training components to systematically influence trainees\u27 cognitive, motivational, and emotion self-regulatory processes. Second, we examine how specific training components can be used to influence each of these process domains. Through a review of prior research, we extract core training components that cut across different active learning interventions, map these components onto specific process domains, and consider the role of individual differences in shaping the effects of these components (aptitude-treatment interactions [ATIs]). A final issue examined in this chapter concerns the outcomes associated with the active learning approach. Despite its considerable versatility, the active learning approach is not the most efficient or effective means of responding to all training needs. Thus, we discuss the impact of the active learning approach on different types of learning outcomes in order to identify the situations under which it is likely to demonstrate the greatest utility. We conclude the chapter by highlighting research and practical implications of our integrated framework, and we outline an agenda for future research on active learning

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.Peer reviewe

Simulating activities: Relating motives, deliberation, and attentive coordination

Activities are located behaviors, taking time, conceived as socially meaningful, and usually involving interaction with tools and the environment. In modeling human cognition as a form of problem solving (goal-directed search and operator sequencing), cognitive science researchers have not adequately studied “off-task” activities (e.g., waiting), non-intellectual motives (e.g., hunger), sustaining a goal state (e.g., playful interaction), and coupled perceptual-motor dynamics (e.g., following someone). These aspects of human behavior have been considered in bits and pieces in past research, identified as scripts, human factors, behavior settings, ensemble, flow experience, and situated action. More broadly, activity theory provides a comprehensive framework relating motives, goals, and operations. This paper ties these ideas together, using examples from work life in a Canadian High Arctic research station. The emphasis is on simulating human behavior as it naturally occurs, such that “working” is understood as an aspect of living. The result is a synthesis of previously unrelated analytic perspectives and a broader appreciation of the nature of human cognition. Simulating activities in this comprehensive way is useful for understanding work practice, promoting learning, and designing better tools, including human-robot systems

Towards Learning ‘Self’ and Emotional Knowledge in Social and Cultural Human-Agent Interactions

Original article can be found at: http://www.igi-global.com/articles/details.asp?ID=35052 Copyright IGI. Posted by permission of the publisher.This article presents research towards the development of a virtual learning environment (VLE) inhabited by intelligent virtual agents (IVAs) and modeling a scenario of inter-cultural interactions. The ultimate aim of this VLE is to allow users to reflect upon and learn about intercultural communication and collaboration. Rather than predefining the interactions among the virtual agents and scripting the possible interactions afforded by this environment, we pursue a bottomup approach whereby inter-cultural communication emerges from interactions with and among autonomous agents and the user(s). The intelligent virtual agents that are inhabiting this environment are expected to be able to broaden their knowledge about the world and other agents, which may be of different cultural backgrounds, through interactions. This work is part of a collaborative effort within a European research project called eCIRCUS. Specifically, this article focuses on our continuing research concerned with emotional knowledge learning in autobiographic social agents.Peer reviewe

The integrated theory of emotional behavior follows a radically goal-directed approach

status: publishe

Self-directedness, integration and higher cognition

In this paper I discuss connections between self-directedness, integration and higher cognition. I present a model of self-directedness as a basis for approaching higher cognition from a situated cognition perspective. According to this model increases in sensorimotor complexity create pressure for integrative higher order control and learning processes for acquiring information about the context in which action occurs. This generates complex articulated abstractive information processing, which forms the major basis for higher cognition. I present evidence that indicates that the same integrative characteristics found in lower cognitive process such as motor adaptation are present in a range of higher cognitive process, including conceptual learning. This account helps explain situated cognition phenomena in humans because the integrative processes by which the brain adapts to control interaction are relatively agnostic concerning the source of the structure participating in the process. Thus, from the perspective of the motor control system using a tool is not fundamentally different to simply controlling an arm

What does semantic tiling of the cortex tell us about semantics?

Recent use of voxel-wise modeling in cognitive neuroscience suggests that semantic maps tile the cortex. Although this impressive research establishes distributed cortical areas active during the conceptual processing that underlies semantics, it tells us little about the nature of this processing. While mapping concepts between Marr's computational and implementation levels to support neural encoding and decoding, this approach ignores Marr's algorithmic level, central for understanding the mechanisms that implement cognition, in general, and conceptual processing, in particular. Following decades of research in cognitive science and neuroscience, what do we know so far about the representation and processing mechanisms that implement conceptual abilities? Most basically, much is known about the mechanisms associated with: (1) features and frame representations, (2) grounded, abstract, and linguistic representations, (3) knowledge-based inference, (4) concept composition, and (5) conceptual flexibility. Rather than explaining these fundamental representation and processing mechanisms, semantic tiles simply provide a trace of their activity over a relatively short time period within a specific learning context. Establishing the mechanisms that implement conceptual processing in the brain will require more than mapping it to cortical (and sub-cortical) activity, with process models from cognitive science likely to play central roles in specifying the intervening mechanisms. More generally, neuroscience will not achieve its basic goals until it establishes algorithmic-level mechanisms that contribute essential explanations to how the brain works, going beyond simply establishing the brain areas that respond to various task conditions