Investigating the Role of Working Memory Resources across Aesthetic and Non-Aesthetic Judgments

Aesthetic judgements dominate much of daily life by guiding how we evaluate objects, people, and experiences in our environment. One key question that remains unanswered is the extent to which more specialised or largely general cognitive resources support aesthetic judgements. To investigate this question in the context of working memory, we examined the extent to which a working memory load produces similar or different response time interference on aesthetic compared with non-aesthetic judgements. Across three pre-registered experiments that used Bayesian multi-level modelling approaches (N > 100 per experiment), we found clear evidence that a working memory load produces similar response time interference on aesthetic judgements relative to non-aesthetic (motion) judgements. We also showed that this similarity in processing across aesthetic versus non-aesthetic judgements holds across variations in the form of art (people vs. landscape; Experiments 1–3), medium type (artwork vs. photographs; Experiment 2), and load content (art images vs. letters; Experiments 1–3). These findings suggest that across a range of experimental contexts, as well as different processing streams in working memory (e.g., visual vs. verbal), aesthetic and motion judgements commonly rely on a domain-general cognitive system, rather than a system that is more specifically tied to aesthetic judgements. In doing so, these findings shine new light on the working memory resources that support aesthetic judgements, as well as on how domain-general cognitive systems operate more generally in cognition.ISSN:1747-0218ISSN:1747-022

A Generalised Semantic Cognition Account of Aesthetic Experience

Given that aesthetic experiences typically involve extracting meaning from environment, we believe that semantic cognition research has much to offer the field of neuroaesthetics. In the current paper, we propose a generalised framework that is inspired by the semantic cognition literature and that treats aesthetic experience as just one example of how meaning accumulates. According to our framework, aesthetic experiences are underpinned by the same cognitive and brain systems that are involved in deriving meaning from the environment in general, such as modality-specific conceptual representations and controlled processes for retrieving the appropriate type of information. Our generalised semantic cognition view of aesthetic experience has substantial implications for theory development: it leads to novel, falsifiable predictions and it reconfigures foundational assumptions regarding the structure of the cognitive and brain systems that may be involved in aesthetic experiences.ISSN:1873-3514ISSN:0028-393

The Role of the Ventrolateral Anterior Temporal Lobes in Social Cognition

A key challenge for neurobiological models of social cognition is to elucidate whether brain regions are specialised for that domain. In recent years, discussion surrounding the role of anterior temporal regions epitomises such debates; some argue the anterior temporal lobe (ATL) is part of a domain‐specific network for social processing, while others claim it comprises a domain‐general hub for semantic representation. In the present study, we used ATL‐optimised fMRI to map the contribution of different ATL structures to a variety of paradigms frequently used to probe a crucial social ability, namely ‘theory of mind’ (ToM). Using multiple tasks enables a clearer attribution of activation to ToM as opposed to idiosyncratic features of stimuli. Further, we directly explored whether these same structures are also activated by a non‐social task probing semantic representations. We revealed that common to all of the tasks was activation of a key ventrolateral ATL region that is often invisible to standard fMRI. This constitutes novel evidence in support of the view that the ventrolateral ATL contributes to social cognition via a domain‐general role in semantic processing and against claims of a specialised social function

Overlapping Neural Correlates Underpin Theory of Mind and Semantic Cognition:Evidence from a Meta-Analysis of 344 Functional Neuroimaging Studies

Key unanswered questions for cognitive neuroscience include whether social cognition is underpinned by specialised brain regions, and to what extent it simultaneously depends on more domain-general systems. Until we glean a better understanding of the contribution made by domain-general cognitive systems, theories of social cognition will remain fundamentally limited. In the present study, we evaluate a recent and novel proposal that the semantic cognition network plays a crucial role in supporting social processes. We specifically focus on theory of mind (ToM) abilities and adopt a meta-analytic activation likelihood estimation approach to synthesise the results of a large set of functional neuroimaging studies. Our primary aim was to establish the degree of topological overlap between the cortical networks involved in ToM and semantic tasks. Moreover, we sought to account for key methodological differences across the two sets of tasks, including the fact that ToM studies tend to use nonverbal stimuli while the semantics literature is dominated by language-based tasks. We observed extensive overlap between the two networks in regions strongly implicated in semantic cognition, including the anterior temporal lobes and the left temporoparietal junction (TPJ). Activation specific to ToM was identified in the right TPJ, bilateral anterior mPFC, and right precuneus. These findings persisted even after controlling for discrepancies in the types of experimental stimuli used in each domain. Overall, the findings support the claim that ToM draws upon more general semantic retrieval processes and are against the view that ToM is underpinned solely by a domain-specific social neurocognitive system

Establishing the cognitive signature of human brain networks derived from structural and functional connectivity

© 2018, The Author(s). Numerous neuroimaging studies have identified various brain networks using task-free analyses. While these networks undoubtedly support higher cognition, their precise functional characteristics are rarely probed directly. The frontal, temporal, and parietal lobes contain the majority of the tertiary association cortex, which are key substrates for higher cognition including executive function, language, memory, and attention. Accordingly, we established the cognitive signature of a set of contrastive brain networks on the main tertiary association cortices, identified in two task-independent datasets. Using graph-theory analysis, we revealed multiple networks across the frontal, temporal, and parietal cortex, derived from structural and functional connectivity. The patterns of network activity were then investigated using three task-active fMRI datasets to generate the functional profiles of the identified networks. We employed representational dissimilarity analysis on these functional data to quantify and compare the representational characteristics of the networks. Our results demonstrated that the topology of the task-independent networks was strongly associated with the patterns of network activity in the task-active fMRI. Our findings establish a direct relationship between the brain networks identified from task-free datasets and higher cognitive functions including cognitive control, language, memory, visuospatial function, and perception. Not only does this study support the widely held view that higher cognitive functions are supported by widespread, distributed cortical networks, but also it elucidates a methodological approach for formally establishing their relationship