Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder.

Bipolar disorder (BD) involves altered reward processing and decision-making, with inconsistencies across studies. Here, we integrated hierarchical Bayesian modelling with magnetoencephalography (MEG) to characterise maladaptive belief updating in this condition. First, we determined if previously reported increased learning rates in BD stem from a heightened expectation of environmental changes.

Sex and psychedelics: a wide-lens look at a burgeoning field.

In this article we initiate a conversation between scientific and humanities-oriented studies of sexuality and psychedelics. Drawing on three recent studies which indicate a positive connection between the use of psychedelics and sexual well-being, the article argues that taking account of sexuality as culturally produced, historically contingent and geographically specific would improve the reliability and efficacy of future studies. The need for socially and culturally attuned research grounded in contemporary sexual politics in this area is urgent, as in recent years-despite little reporting of sexuality in clinical research-the psychedelics field has had to grapple with the ethics of the relationship between psychedelic states and sexual interactions in therapeutic spaces and the 'underground'.

On the ability of standard and brain-constrained deep neural networks to support cognitive superposition: a position paper.

The ability to coactivate (or "superpose") multiple conceptual representations is a fundamental function that we constantly rely upon; this is crucial in complex cognitive tasks requiring multi-item working memory, such as mental arithmetic, abstract reasoning, and language comprehension. As such, an artificial system aspiring to implement any of these aspects of general intelligence should be able to support this operation. I argue here that standard, feed-forward deep neural networks (DNNs) are unable to implement this function, whereas an alternative, fully brain-constrained class of neural architectures spontaneously exhibits it.

Balancing accuracy and Interpretability: An R package assessing complex relationships beyond the Cox model and applications to clinical prediction.

Background: Accurate and interpretable models are essential for clinical decision-making, where predictions can directly impact patient care. Machine learning (ML) survival methods can handle complex multidimensional data and achieve high accuracy but require post-hoc explanations. Traditional models such as the Cox Proportional Hazards Model (Cox-PH) are less flexible, but fast, stable, and intrinsically transparent.

Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain.

The management of a food supply chain is difficult and complex because of the product's short shelf-life, time-sensitivity, and perishable nature which must be carefully considered to minimize food waste. Temperature-controlled perishable food supply chain provides the highly crucial facilities necessary to maintain the quality and safety of the product. The storage temperature is the most vital factor in maintaining both the quality and shelf-life of a perishable food.

Religious Disaffiliation and Sexually Minoritised Groups: A Scoping Review of the Literature.

Religious teachings and beliefs often convey an understanding of sexuality that excludes and marginalizes sexually minoritised people. This PRISMA-compliant scoping review selected 29 peer-reviewed papers about the religious disaffiliation of sexually minoritised people for full-text analysis and synthesis. With the use of reflexive thematic and bibliometric analysis, the review found that current research highlights the complicated relationship between religious and LGBTQIA+ identities.

A framework for neurophysiological experiments on flow states.

Csikszentmihalyi's concept of the "flow state" was initially discovered in experts deeply engaged in self-rewarding activities. However, recent neurophysiology research often measures flow in constrained and unfamiliar activities. In this perspective article, we address the challenging yet necessary considerations for studying flow state's neurophysiology.

AI can see you: Machiavellianism and extraversion are reflected in eye-movements.

Introduction: Recent studies showed an association between personality traits and individual patterns of visual behaviour in laboratory and other settings. The current study extends previous research by measuring multiple personality traits in natural settings; and by comparing accuracy of prediction of multiple machine learning algorithms.

Methods: Adolescent participants (N = 35) completed personality questionnaires (Big Five Inventory and Short Dark Triad Questionnaire) and visited an interactive museum while their eye movements were recorded with head-mounted eye tracking.

The association between liking, learning and creativity in music.

Aesthetic preference is intricately linked to learning and creativity. Previous studies have largely examined the perception of novelty in terms of pleasantness and the generation of novelty via creativity separately. The current study examines the connection between perception and generation of novelty in music; specifically, we investigated how pleasantness judgements and brain responses to musical notes of varying probability (estimated by a computational model of auditory expectation) are linked to learning and creativity.

Cognitive reserve modulates mental health in adulthood.

Cognitive Reserve (CR) reflects acquired knowledge, skills, and abilities throughout life, and it is known for modulating cognitive efficiency in healthy and clinical populations. CR, which was initially proposed to explain individual differences in the clinical presentation of dementia, has subsequently been extended to healthy ageing, showing its role in cognitive efficiency also during middle age. Recently, CR has been linked to affective processes in psychiatric conditions such as schizophrenia, major depressive and anxiety symptoms, and psychological distress, suggesting its potential role in emotional expression and regulation.

Unlocking the potential of 'passive' modulation: How sensory stimulation shapes hand and face size.

Knowledge of the body size is intricately tied to multisensory integration processes that rely on the dynamic interplay of top-down and bottom-up mechanisms. Recent years have seen the development of passive sensory stimulation protocols aimed at investigating the modulation of various cognitive functions, primarily inducing perceptual learning and behaviour change without the need for extensive training. Given that reductions in sensory input have been associated with alterations in body size perception, it is reasonable to hypothesize that increasing sensory information through passive sensory stimulation could similarly influence the perception of the size of body parts.

How material sensory properties and individual differences influence the haptic aesthetic appeal of visually presented stimuli.

Touch plays a crucial role for humans. Despite its centrality in sensory experiences, the field of haptic aesthetics is underexplored. So far, existing research has revealed that preferences in the haptic domain are related to stimulus properties and the Gestalt laws of grouping.

Disruption of dopamine D2/D3 system function impairs the human ability to understand the mental states of other people.

Difficulties in reasoning about others' mental states (i.e., mentalising/Theory of Mind) are highly prevalent among disorders featuring dopamine dysfunctions (e.

Self-administered mindfulness interventions reduce stress in a large, randomized controlled multi-site study.

Mindfulness witnessed a substantial popularity surge in the past decade, especially as digitally self-administered interventions became available at relatively low costs. Yet, it is uncertain whether they effectively help reduce stress. In a preregistered (OSF https://doi.

EquiCity game: a mathematical serious game for participatory design of spatial configurations.

We propose a mathematical framework for developing social-choice games that are designed to mediate decision-making processes for city planning, urban area redevelopment, and architectural configuration of urban housing complexes. The proposed framework features a digital serious gaming approach for participatory design to support transparency and inclusion in the process of decision-making and ensure an equitable balance of sustainable development goals in spatial design outcomes. The mathematical process consists of a Markovian design machine for balancing the design decisions of actors, a massing configurator equipped with fuzzy logic and multi-criteria decision analysis, algebraic graph-theoretical accessibility evaluators, and automated solar-climatic evaluators using geospatial computational geometry.

Experimenting with arts-based methods and affective provocations to understand complex lived experience of a diagnosis of borderline personality disorder.

This article draws on arts-based psycho-social research to explore embodied and visceral knowing and feeling in the context of people living with a diagnosis of borderline personality disorder (BPD). It presents a discussion of creative artworks solicited through a nation-wide online survey conducted in Australia in 2021 that generated intimate and affective understanding about living with a diagnosis of BPD. To investigate what lived experiences of distress associated with a BPD diagnosis communicate through sensation, emotion, image and affective capacity, the authors put to work Blackman's (2015) concept of "productive possibilities of negative states of being" and the broader theoretical framework of new materialism.

Action sequence learning, habits, and automaticity in obsessive-compulsive disorder.

This study investigates the goal/habit imbalance theory of compulsion in obsessive-compulsive disorder (OCD), which postulates enhanced habit formation, increased automaticity, and impaired goal/habit arbitration. It directly tests these hypotheses using newly developed behavioral tasks. First, OCD patients and healthy participants were trained daily for a month using a smartphone app to perform chunked action sequences.

The role of mood and arousal in the effect of background music on attentional state and performance during a sustained attention task.

Across two online experiments, this study explored the effect of preferred background music on attentional state and performance, as well as on mood and arousal, during a vigilance task. It extended recent laboratory findings-showing an increase in task-focus and decrease in mind-wandering states with music-to environments with more distractions around participants. Participants-people who normally listen to background music during attention-demanding tasks-completed the vigilance task in their homes both with and without their chosen music and reported their attentional state, subjective arousal, and mood valence throughout the task.

The impact of technological innovation on the green digital economy and development strategies.

To investigate the interplay among technological innovation, industrial structure, production methodologies, economic growth, and environmental consequences within the paradigm of a green economy and to put forth strategies for sustainable development, this study scrutinizes the limitations inherent in conventional deep learning networks. Firstly, this study analyzes the limitations and optimization strategies of multi-layer perceptron (MLP) networks under the background of the green economy. Secondly, the MLP network model is optimized, and the dynamic analysis of the impact of technological innovation on the digital economy is discussed.

Music in the eye of the beholder: a pupillometric study on preferred background music, attentional state, and arousal.

Although background music listening during attention-demanding tasks is common, there is little research on how it affects fluctuations in attentional state and how these fluctuations are linked to physiological arousal. The present study built on Kiss and Linnell (2021) - showing a decrease in mind-wandering and increase in task-focus states with background music - to explore the link between attentional state and arousal with and without background music. 39 students between the ages of 19-32 completed a variation of the Psychomotor Vigilance Task in silence and with their self-selected background music (music they would normally listen to during attention-demanding tasks).

The 'missing' in the 'endgame' of hepatitis C elimination: A qualitative study in New South Wales, Australia.

Introduction: After a promising start in Australia, elimination efforts for hepatitis C are not on track. Following the global campaign to 'find the missing' in hepatitis C response, this qualitative study explores stakeholder perspectives on the 'missing' in the 'endgame' of hepatitis elimination in the state of New South Wales, Australia.

Method: Twenty-eight key informants working in New South Wales, elsewhere in Australia and internationally in high income countries participated in a semi-structured qualitative interview.