People's ability to think creatively is a primary means of technological and cultural progress, yet the neural architecture highly creative brain remains largely undefined. Here, we employed recently developed method in functional imaging analysis-connectome-based predictive modeling-to identify network associated with high-creative ability, using magnetic resonance (fMRI) data acquired from 163 participants engaged classic divergent thinking task. At behavioral level, found strong...

Exploratory graph analysis (EGA) is a new technique that was recently proposed within the framework of network psychometrics to estimate number factors underlying multivariate data. Unlike other methods, EGA produces visual guide-network plot-that not only indicates dimensions retain, but also which items cluster together and their level association. Although previous studies have found be superior traditional they are limited in conditions considered. These issues addressed through an...

This article reviews the causal implications of latent variable and psychometric network models for validation personality trait questionnaires. These imply different data generating mechanisms that have important consequences validity From this review, we formalize a framework assessing evidence questionnaires from perspective. We focus specifically on structural phase validation, where items are assessed redundancy, dimensionality, internal structure. In discussion, underline importance...

Exploratory Graph Analysis (EGA) has emerged as a popular approach for estimating the dimensionality of multivariate data using psychometric networks. Sampling variability, however, made reproducibility and generalizability key issue in network psychometrics. To address this issue, we have developed novel bootstrap called Bootstrap (bootEGA). bootEGA generates sampling distribution EGA results where several statistics can be computed. Descriptive (median, standard error, dimension frequency)...

Abstract With the recent proliferation of advanced artificial intelligence (AI) models capable mimicking human artworks, AI creations might soon replace products creativity, although skeptics argue that this outcome is unlikely. One possible reason may be unlikely that, independent physical properties art, we place great value on imbuement experience in art. An interesting question, then, whether and why people prefer human-compared to AI-created artworks. To explore these questions,...

The local independence assumption states that variables are unrelated after conditioning on a latent variable. Common problems arise from violations of this include model misspecification, biased parameters, and inaccurate estimates internal structure. These not limited to variable models but also apply network psychometrics. This paper proposes novel psychometric approach detect locally dependent pairs using modeling graph theory measure called weighted topological overlap (wTO). Using...

Openness to Experience is a complex trait, the taxonomic structure of which has been widely debated. Previous research provided greater clarity its lower order by synthesizing facets across several scales related Experience. In this study, we take finer grained approach investigating item-level relations four inventories (Big Five Aspects Scale, HEXACO–100, NEO PI–3, and Woo et al.'s Inventory), using network science approach, allowed items form an emergent taxonomy aspects. Our results (N =...

Imagination and creative cognition are often associated with the brain's default network (DN). Recent evidence has also linked cognitive control systems to performance on tasks involving imagination creativity, a growing number of studies reporting functional interactions between DN regions. We sought extend emerging literature brain dynamics supporting by examining individual differences in large-scale connectivity relation Openness Experience, personality trait typified creativity. To this...

Openness to experience—the enjoyment of novel experiences and ideas—has many connections cognitive processes. People high in openness experience, for example, tend be more creative have broader general knowledge than people low experience. In the current study, we use a network science approach examine if organization semantic memory differs between groups A sample 516 adults completed measures experience (from NEO Five–Factor Inventory–3 Big Five Aspect Scales) verbal fluency task. Next,...

Are intelligence and creativity distinct abilities, or do they rely on the same cognitive neural systems? We sought to quantify extent which creative cognition overlap in brain behavior by combining machine learning of fMRI data latent variable modeling ability a sample young adults (N = 186) who completed battery thinking tasks. The study had 3 analytic goals: (a) assess contributions specific facets (e.g., fluid crystallized intelligence) general (i.e., divergent originality), (b) model...

Cognitive and neuroimaging evidence suggests that episodic semantic memory—memory for autobiographical events conceptual knowledge, respectively—support different aspects of creative thinking, with a growing number studies reporting activation brain regions within the default network during performance on thinking tasks. The present research sought to dissociate neural contributions these memory processes by inducing or retrieval orientations prior divergent task fMRI. We conducted...

To date, the application of semantic network methodologies to study cognitive processes in psychological phenomena has been limited scope. One barrier broader is lack resources for researchers unfamiliar with approach. Another barrier, both and knowledgeable researcher, tedious laborious preprocessing data. We aim minimize these barriers by offering a comprehensive analysis pipeline (preprocessing, estimating, analyzing networks), an associated R tutorial that uses suite packages accommodate...

Increasing research efforts are focused on explaining the cognitive bases of creativity. However, it remains unclear when and how factors such as intelligence executive function uniquely contribute to performance creative thinking tasks. Although a relationship between fluid (Gf) cognition has been well-documented, underlying mechanism this relation is unknown. Here, we test one possible Gf–creativity association – attention control (AC) given AC's strong with Gf its theoretical relevance...

As cultural consumption increasingly moves to a digital space, it is crucial understand the evolving landscape of art both in and outside physical museum context. The current study delves into this contrast, seeking how perceived appreciated museums on medium (like computer screen). Across two experiments at Barnes Foundation Penn Museum Philadelphia, Pennsylvania, we explored aesthetic engagement paintings artifacts influenced by context which an artwork encountered characteristics viewer....

Abstract Background and aims Studies have demonstrated associations between both problematic smartphone social networks use with everyday life adversities. However, examination of (PSU) specific networking platforms, especially on item-level data, has received relatively little attention. Therefore, the aim current study was to explore how items smartphone, Facebook, WhatsApp, Instagram are associated. Methods 949 German-speaking adults participated in a web survey study. The participants...

The accurate identification of the content and number latent factors underlying multivariate data is an important endeavor in many areas Psychology related fields. Recently, a new dimensionality assessment technique based on network psychometrics was proposed (Exploratory Graph Analysis, EGA), but measure to check fit structure estimated via EGA still lacking. Although traditional factor-analytic measures are widespread, recent research has identified limitations for their effectiveness...