1,720,975 research outputs found
Testing the Magnitude of Correlations Across Experimental Conditions
Get PDFCorrelation coefficients are often compared to investigate data across multiple research fields, as they allow investigators to determine different degrees of correlation to independent variables. Even with adequate sample size, such differences may be minor but still scientifically relevant. To date, although much effort has gone into developing methods for estimating differences across correlation coefficients, adequate tools for variable sample sizes and correlational strengths have yet to be tested. The present study evaluated four different methods for detecting the difference between two correlations and tested the adequacy of each method using simulations with multiple data structures. The methods tested were Cohen’s q, Fisher’s method, linear mixed-effects models (LMEM), and an ad hoc developed procedure that integrates bootstrap and effect size estimation. Correlation strengths and sample size was varied across a wide range of simulations to test the power of the methods to reject the null hypothesis (i.e., the two correlations are equal). Results showed that Fisher’s method and the LMEM failed to reject the null hypothesis even in the presence of relevant differences between correlations and that Cohen’s method was not sensitive to the data structure. Bootstrap followed by effect size estimation resulted in a fair, unbiased compromise for estimating quantitative differences between statistical associations and producing outputs that could be easily compared across studies. This unbiased method is easily implementable in MatLab through the bootes function, which was made available online by the author at MathWorks
Panta Rh-AI: Assessing multifaceted AI threats on human agency and identity
Get PDFThis review explores the profound implications of artificial intelligence (AI) on human agency, identity, and autonomy through an interdisciplinary perspective that integrates psychological, societal, and ethical considerations. As AI technologies increasingly influence various aspects of human life—from healthcare to decision-making and personal data management—they challenge established notions of selfhood and cognitive autonomy. The review examines how AI-driven interactions affect human cognitive processes, societal norms, and legal frameworks, highlighting the gaps in current scientific and regulatory approaches. It advocates for adaptable and human-centric frameworks that safeguard psychological integrity and an unharmed sense of self while addressing the ethical risks associated with AI. The paper also emphasizes the role of emerging concepts such as neurorights in protecting individuals from invasive technological impacts and ensuring accountability in AI development. By proposing strategies to mitigate these risks, the review outlines the need for continued research into the behavioral, cognitive, and societal effects of AI, emphasizing the role of assessment tools in understanding these impacts. It concludes by calling for collaborative efforts among researchers, policymakers, and technologists to develop integrated frameworks that align AI technologies with fundamental human values and rights. This work aims to provide a foundation for understanding AI's transformative impact on contemporary and future societies while ensuring that technological advancements remain compatible with human dignity and autonomy
An integrative perspective on the role of touch in the development of intersubjectivity
No full textTouch concerns a fundamental component of sociality. In this review, we examine the hypothesis that somatomotor development constitutes a crucial psychophysiological element in the ontogeny of intersubjectivity. An interdisciplinary perspective is provided on how the communication channel of touch contributes to the sense of self and extends to the social self. During gestation, the transformation of random movements into organized sequences of actions with sensory consequences parallels the development of the brain's functional architecture. Brain subsystems shaped by the coordinated activity of somatomotor circuits to support these first body-environment interactions are the first brain functional arrangements to develop. We propose that tactile self-referring behaviour during gestation constitutes a prototypic mode of interpersonal exchange that supports the subsequent development of intersubjective exchange. The reviewed research suggests that touch constitutes a pivotal bodily experience that in early stages builds and later filters self-other interactions. This view is corroborated by the fact that aberrant social-affective touch experiences appear fundamentally associated with attachment anomalies, interpersonal trauma, and personality disorders. Given the centrality of touch for the development of intersubjectivity and for psychopathological conditions in the social domain, dedicated research is urged to elucidate the role of touch in the evolution of subjective self-other coding
The state-trait sense of self inventory: A psychometric study of self-experience and its relation to psychosis-like manifestations
Get PDFThe sense of self is a fundamental construct in the study of the mind, yet its psychological nature remains elusive. We introduce a novel 25-item inventory to investigate selfhood both as an enduring trait and a temporary state. We hypothesized two foundational aspects of the self: identity (related to self-referencing and continuity over time) and agency (the perception of controlling own's actions and thoughts). Results from two population studies highlight a singular self-trait factor combining agency and identity. In contrast, self-state measures revealed a bifactorial structure with a high-order factor and three lower-order subfactors: state-identity, state-agency, and state-technology. These factors were predictive of psychosis-like experiences, schizotypal traits, and hopelessness. Mediation analysis demonstrated that the negative association between the sense of self and hopelessness is mediated by depressive manifestations. Our research provides a tool to shed new light on the complexity of the sense of self and its mental health implications
Brain network profiling defines functionally specialized cortical networks
No full textNeuroimaging research made rapid advances in the study of the functional architecture of the brain during the past decade. Many proposals endorsed the relevance of large-scale brain networks, defined as ensembles of brain regions that exhibit highly correlated signal fluctuations. However, analysis methods need further elaboration to define the functional and anatomical extent of specialized subsystems within classical networks with a high reliability. We present a novel approach to characterize and examine the functional proprieties of brain networks. This approach, labeled as brain network profiling (BNP), considers similarities in task-evoked activity and resting-state functional connectivity across biologically relevant brain subregions. To combine task-driven activity and functional connectivity features, principal components were extracted separately for task-related beta values and resting-state functional connectivity z-values (data available from the Human Connectome Project), from 360 brain parcels. Multiple clustering procedures were employed to assess if different clustering methods (Gaussian mixtures; k-means) and/or data structures (task and rest data; only rest data) led to improvements in the replication of the brain architecture. The results indicated that combining information from resting-state functional connectivity and task-evoked activity and using Gaussian mixtures models for clustering produces more reliable results (99% replication across data sets). Moreover, the findings revealed a high-resolution partition of the cerebral cortex in 16 networks with unique functional connectivity and/or task-evoked activity profiles. BNP potentially offers new approaches to advance the investigation of the brain functional architecture
Spontaneous Brain Activity Predicts Task-Evoked Activity During Animate Versus Inanimate Touch
Get PDFThe spontaneous activity of the brain is characterized by an elaborate temporal structure with scale-free properties as indexed by the power law exponent (PLE). We test the hypothesis that spontaneous brain activity modulates task-evoked activity during interactions with animate versus inanimate stimuli. For this purpose, we developed a paradigm requiring participants to actively touch either animate (real hand) or inanimate (mannequin hand) stimuli. Behaviorally, participants perceived the animate target as closer in space, temporally more synchronous with their own self, and more personally relevant, compared with the inanimate. Neuronally, we observed a modulation of task-evoked activity by animate versus inanimate interactions in posterior insula, in medial prefrontal cortex, comprising anterior cingulate cortex, and in medial superior frontal gyrus. Among these regions, an increased functional connectivity was shown between posterior insula and perigenual anterior cingulate cortex (PACC) during animate compared with inanimate interactions and during resting state. Importantly, PLE during spontaneous brain activity in PACC correlated positively with PACC task-evoked activity during animate versus inanimate stimuli. In conclusion, we demonstrate that brain spontaneous activity in PACC can be related to the distinction between animate and inanimate stimuli and thus might be specifically tuned to align our brain with its animate environment
Investigating the correlation between objective and perceived environment characteristics: the role of sense of agency
No full textA growing body of empirical research from different areas suggests that natural environments, such as coastlines/lakes (blue spaces) and forests/parks (green spaces) are more restorative than built environments. However, most studies investigated outdoor environments and were based only on people’s perception. Indeed, the correlation between perceived restorativeness and objective characteristics of the environment has been rarely investigated. Moreover, previous studies have highlighted that not only environmental features but also individual characteristics, especially those related with the sense of self (i.e., identity, agency) could influence people’s perceived restorativeness. In this study, we analyzed how the composition (% of green/grey space) of the near-home environment influences perceived restorativeness at home, and how the perceived restorativeness is influenced by individual features. Anonymized geographic data was collected for each participant (N≈200 young Italian adults), together with a variety of individual factors including gender, age, education, orientation toward nature, and individual senses of agency and identity (sense of self). After the application of an ad-hoc environmental clustering procedure on satellite images, our results show that the perceived restorativeness is positively related to the percentage of green space and negatively correlated with the percentage of grey space in the environment (500 meters surrounding individuals’ home). Moreover, we found the decrease in restorativeness experienced by grey-space-residents to be exacerbated by individual sense of agency. These results demonstrate the importance of both the objective characteristics of the environment (of green/grey space) and individual characteristics (e.g., sense of self) in determining the perceived restorativeness
Functional connections between activated and deactivated brain regions mediate emotional interference during externally directed cognition
No full textRecent evidence shows that task-deactivations are functionally relevant for cognitive performance. Indeed, higher cognitive engagement has been associated with higher suppression of activity in task-deactivated brain regions - usually ascribed to the Default Mode Network (DMN). Moreover, a negative correlation between these regions and areas actively engaged by the task is associated with better performance. DMN regions show positive modulation during autobiographical, social, and emotional tasks. However, it is not clear how processing of emotional stimuli affects the interplay between the DMN and executive brain regions. We studied this interplay in an fMRI experiment using emotional negative stimuli as distractors. Activity modulations induced by the emotional interference of negative stimuli were found in frontal, parietal, and visual areas, and were associated with modulations of functional connectivity between these task-activated areas and DMN regions. A worse performance was predicted both by lower activity in the superior parietal cortex and higher connectivity between visual areas and frontal DMN regions. Connectivity between right inferior frontal gyrus and several DMN regions in the left hemisphere was related to the behavioral performance. This relation was weaker in the negative than in the neutral condition, likely suggesting less functional inhibitions of DMN regions during emotional processing. These results show that both executive and DMN regions are crucial for the emotional interference process and suggest that DMN connections are related to the interplay between externally-directed and internally-focused processes. Among DMN regions, superior frontal gyrus may be a key node in regulating the interference triggered by emotional stimuli
Validation of the Italian Sense of Agency Scale and Its Relevance to Well-Being: An Iterative Bootstrap Approach
No full textThe Sense of Agency (SoA) refers to the subjective experience of controlling one’s actions and the external events resulting from those actions. This study aimed to critically evaluate the construct validity, robustness, and clinical utility of the Sense of Agency Scale (SoAS) in an Italian-speaking population, using a data-driven approach to explore potential factor structures. A sample of 992 adults completed the SoAS alongside other validated psychological measures, allowing for a comprehensive analysis of the scale’s psychometric properties. An iterative process of exploratory and confirmatory factor analyses (EFA and CFA) was implemented to assess both two-factor and bifactor models. A refined 10-item version of the SoAS was established, comprising two distinct factors: Sense of Positive Agency (SoPA, five items) and Sense of Negative Agency (SoNA, five items). The results favored a two-factor solution supported by satisfying fit indices, factor loadings, and stability. The revised scale demonstrated strong internal consistency, with McDonald’s omega values of 0.79 (SoNA) and 0.87 (SoPA). This study extends the literature by providing evidence of the scale’s convergent and divergent validity, with significant correlations in the expected directions with constructs such as sense of self, hopelessness, impulsiveness, psychosis-like experiences, and schizotypal traits. These findings support the revised SoAS as a reliable and valid measure for assessing the Sense of Agency and highlight its broader applicability in understanding psychological and psychopathological constructs
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