The predictive nature of spontaneous brain activity across scales and species.

Emerging research suggests the brain operates as a "prediction machine," continuously anticipating sensory, motor, and cognitive outcomes. Central to this capability is the brain's spontaneous activity-ongoing internal processes independent of external stimuli. Neuroimaging and computational studies support that this activity is integral to maintaining and refining mental models of our environment, body, and behaviors, akin to generative models in computation.

Promoting active participation in robot-aided rehabilitation via machine learning and impedance control.

Introduction: Active patient participation is crucial for effective robot-assisted rehabilitation. Quantifying the user's Active Level of Participation (ALP) during therapy and developing human-robot interaction strategies that promote engagement can improve rehabilitation outcomes. However, existing methods for estimating participation are often unimodal and do not provide continuous participation assessment.

The psychologically rich life questionnaire: Italian validation and exploration of its relationships with mindfulness, self-compassion, and cognitive fusion within the health psychology framework.

Introduction: Based on the theoretical framework that a fulfilling life encompasses happiness, meaning, and psychological richness, this study introduces the Italian translation of the Psychologically Rich Life Questionnaire (PRLQ-I), exploring its connection with mindfulness, self-compassion, cognitive fusion, and anxiety, positing psychological richness as a critical, yet distinct, component of well-being. Psychological richness, characterized by diverse and interesting experiences, complements the hedonic and eudaimonic dimensions of well-being, offering a broader perspective on what constitutes a meaningful life.

Methods: After a subsequent back translation procedure, the resulting questionnaire version was checked for the comprehensibility of the items.

Digital connection, real bonding: Brief online chats boost interpersonal closeness regardless of the conversational topic.

This study explores how the quality of brief dyadic written exchanges (lasting under 5 min) on a virtual platform and the nature of the conversational topic (abstract or concrete), influences physical, interpersonal, and psychological closeness between interlocutors. In the first experiment, participants engaged in written conversations on either an abstract or concrete topic under two conditions: (i) an interactive condition, where participants exchanged messages with another person, and (ii) a non-interactive condition, where participants wrote independently on the same topic, aware that another person was simultaneously doing the same. Results indicated that participants in the interactive condition reported feeling significantly closer to their interlocutor than those in the non-interactive condition.

Brain Metabolic Features of FUS-ALS: A 2-[F]FDG-PET Study.

Objective: We aimed at evaluating the brain metabolic features of fused in sarcoma amyotrophic lateral sclerosis (FUS-ALS) compared with sporadic ALS (sALS), using 2-[fluorine-18] fluoro-2-deoxy-D-glucose positron emission tomography (2-[F]FDG-PET).

Methods: We employed the 2-sample t-test model of SPM12, implemented in MATLAB, to compare 12 FUS-ALS cases with 40 healthy controls (HC) and 48 sALS, randomly collected from the series of patients who underwent brain 2-[F]FDG-PET at the ALS Center of Turin (Italy) at diagnosis from 2009 to 2019. In the comparisons between cases and HC, we included age at PET and sex as covariates.

Open hands, large numbers: manual gestures influence random number generation.

Several studies suggest that numerical cognition interacts with spatial cognition. Here, we explored spatial-numerical associations through the lens of manual gestures. We asked English and Italian participants to generate 'random' sequences of numbers while simultaneously moving the hands outwards, away from the torso, or inwards, towards the mid center of the body.

The Water Health Open Knowledge Graph.

Global sustainability challenges have recently led to an increasing interest in the management of water and health resources. Thus, the availability of effective, meaningful and open data is crucial to address those issues in the broader context of the Sustainable Development Goals of clean water and sanitation as targeted by the United Nations. In this paper, we present the Water Health Open Knowledge Graph (WHOW-KG) along with its design methodology and analysis on impact.

Abstractness impacts conversational dynamics.

Conversation topics may vary in abstractness. This might impact the effort required by speakers to reach a common ground and, ultimately, an interactive alignment. In fact, people typically feel less confident with abstract concepts and single-words rating studies suggest abstract concepts are more associated with social interactions than concrete concepts-hence suggesting increasing levels of abstractness enhance inner and mutual monitoring processes.

Whole body coarticulation reflects expertise in sport climbing.

Taking sport climbing as a testbed, we explored coarticulation in naturalistic motor-behavior at the level of whole body kinematics. Participants were instructed to execute a series of climbing routes, each composed of two initial foot-moves equal in all routes, and two subsequent hand-moves differing across routes in a set of eight possible configurations. The goal was assessing whether climbers modulate the execution of a given move depending on which moves come next in the plan.

An experimental and computational investigation of executive functions and inner speech in schizophrenia spectrum disorders.

Flexible goal-directed human cognition is supported by many forms of self-directed manipulation of representations. Among them, Inner-Speech (IS; covert self-directed speech) acts on second-order representations (e.g.

The role of the prefrontal cortex in cocaine-induced noradrenaline release in the nucleus accumbens: a computational study.

Research has extensively explored the role of the dopaminergic system in the reward circuit, while the contribution of the noradrenergic system remains less understood. This study aims to fill this gap by employing computational modeling to examine how the medial prefrontal cortex (mPFC) influences cocaine-induced norepinephrine (NE) release in the nucleus accumbens shell (NAcc), with mediation by the nucleus of the tractus solitarius (NTS) and the locus coeruleus (LC). The model replicates previously reported data on NE release in the mPFC following cocaine administration.

Musician's dystonia: a perspective on the strongest evidence towards new prevention and mitigation treatments.

This perspective article addresses the critical and up-to-date problem of task-specific musician's dystonia (MD) from both theoretical and practical perspectives. Theoretically, MD is explored as a result of impaired sensorimotor interplay across different brain circuits, supported by the most frequently cited scientific evidence-each referenced dozens of times in Scopus. Practically, MD is a significant issue as it occurs over 60 times more frequently in musicians compared to other professions, underscoring the influence of individual training as well as environmental, social, and emotional factors.

Global progress in competitive co-evolution: a systematic comparison of alternative methods.

The usage of broad sets of training data is paramount to evolve adaptive agents. In this respect, competitive co-evolution is a widespread technique in which the coexistence of different learning agents fosters adaptation, which in turn makes agents experience continuously varying environmental conditions. However, a major pitfall is related to the emergence of endless limit cycles where agents discover, forget and rediscover similar strategies during evolution.

Frequency and Early Predictors of Cognitive Deterioration in Amyotrophic Lateral Sclerosis: A Longitudinal Population-Based Study.

Objective: The objective is to evaluate cognitive and behavioral progression and identify early predictors of these changes in a cohort of amyotrophic lateral sclerosis (ALS) patients.

Methods: A total of 161 ALS patients were tested at diagnosis (T0), and 107 were re-tested after 1 year (T1) using cognitive/behavioral tests. All patients underwent whole-genome sequencing, and 46 patients (ALS-normal cognition [CN]) underwent [18F]Fluorodeoxyglucose positron emission tomography.

The impact of face masks on metacognition in sign language is mediated by proficiency.

Face masks can impact processing a narrative in sign language, affecting several metacognitive dimensions of understanding (i.e., perceived effort, confidence and feeling of understanding).

Fine Tuning of an Advanced Planner for Cognitive Training of Older Adults.

Developing effective cognitive training tools for older adults, specifically addressing executive functions such as planning, is a challenging task. It is of paramount importance to ensure the implementation of engaging activities that must be tailored to the specific needs and expectations of older adults. Furthermore, it is essential to provide the appropriate level of complexity for the planning task.

Emotional distress and affective knowledge representation one year after the COVID-19 outbreak.

This study examines whether the detrimental effects of the COVID-19 pandemic on the affectivity of the population extend one year after the outbreak. In an online-mobile session, participants completed surveys (i.e.

Action of the Euclidean versus projective group on an agent's internal space in curiosity driven exploration.

According to the Projective Consciousness Model (PCM), in human spatial awareness, 3-dimensional projective geometry structures information integration and action planning through perspective taking within an internal representation space. The way different perspectives are related to and transform a world model defines a specific perception and imagination scheme. In mathematics, such a collection of transformations corresponds to a 'group', whose 'actions' characterize the geometry of a space.

Dynamic planning in hierarchical active inference.

By dynamic planning, we refer to the ability of the human brain to infer and impose motor trajectories related to cognitive decisions. A recent paradigm, active inference, brings fundamental insights into the adaptation of biological organisms, constantly striving to minimize prediction errors to restrict themselves to life-compatible states. Over the past years, many studies have shown how human and animal behaviors could be explained in terms of active inference - either as discrete decision-making or continuous motor control - inspiring innovative solutions in robotics and artificial intelligence.

Words as social tools (WAT): A reprise.

The paper presents new evidence collected in the last five years supporting the Words As social Tools proposal on abstract concepts. We discuss findings revolving around three central tenets. First, we show that-like concrete concepts-also abstract concepts evoke sensorimotor experiences, even if to a lower extent, and that they are linked to inner experiences (e.

Explainable machine learning on clinical features to predict and differentiate Alzheimer's progression by sex: Toward a clinician-tailored web interface.

Alzheimer's disease (AD), the most common neurodegenerative disorder world-wide, presents sex-specific differences in its manifestation and progression, necessitating personalized diagnostic approaches. Current procedures are often costly and invasive, lacking consideration of sex-based differences. This study introduces an explainable machine learning (ML) system to predict and differentiate the progression of AD based on sex, using non-invasive, easily collectible predictors such as neuropsychological test scores and sociodemographic data, enabling its application in every day clinical settings.

Why social norms may fail us when we need them most.

Where social norms are the 'glue' guiding behavior, people hardly think of their behavior as an act of norm compliance. They do consciously look for social norms in situations of environmental or social uncertainty, because i) norms provide behavioral cues that reduce uncertainty and ii) the uncertainty is partially induced by the lack or instability of social norms themselves-creating the (flawed) perception that social norms often fail us when we need them most. We discuss several state-of-the-art conceptualizations of social norms-abstract and specific norms, the social norms life cycle, and social norms in changing contexts-to highlight where and how uncertainty comes into play within each of these approaches, and consequently where the success of social norms might be hindered.

Generative models for sequential dynamics in active inference.

A central theme of theoretical neurobiology is that most of our cognitive operations require processing of discrete sequences of items. This processing in turn emerges from continuous neuronal dynamics. Notable examples are sequences of words during linguistic communication or sequences of locations during navigation.

Co-evolution of behaviour and beliefs in social dilemmas: estimating material, social, cognitive and cultural determinants.

Understanding and predicting human cooperative behaviour and belief dynamics remains a major challenge both from the scientific and practical perspectives. Because of the complexity and multiplicity of material, social and cognitive factors involved, both empirical and theoretical work tends to focus only on some snippets of the puzzle. Recently, a mathematical theory has been proposed that integrates material, social and cognitive aspects of behaviour and beliefs dynamics to explain how people make decisions in social dilemmas within heterogeneous groups.