scholarly journals Brain-Environment Alignment during Movie Watching Predicts Cognitive-Affective Function in Adulthood

2020 ◽  
Author(s):  
Raluca Petrican ◽  
Kim S. Graham ◽  
Andrew D. Lawrence

AbstractBOLD fMRI studies have provided compelling evidence that the human brain demonstrates substantial moment-to-moment fluctuations in both activity and functional connectivity patterns. While the role of brain signal variability in fostering cognitive adaptation to ongoing environmental demands is well-documented, the relevance of moment-to-moment changes in functional brain architecture is still debated. To probe the role of architectural variability in naturalistic information processing, we used neuroimaging and behavioural data collected during movie watching by the Cambridge Centre for Ageing and Neuroscience (N = 642, 326 women) and the Human Connectome Project (N = 176, 106 women). Both moment-to-moment and contextual change-evoked architectural variability increased from young to older adulthood. However, coupling between moment-to-moment changes in functional brain architecture and concrete environmental features was stronger at younger ages. Architectural variability (both momentary and context-evoked) was associated with age-distinct profiles of network communication, specifically, greater functional integration of the default mode network in older adulthood, but greater informational flow across neural networks implicated in environmentally driven attention and control (cingulo-opercular, salience, ventral attention) in younger adulthood. Whole-brain communication pathways anchored in default mode regions relevant to episodic and semantic context creation (i.e., angular and middle temporal gyri) contributed to greater brain reconfiguration in response to narrative context changes, as well as stronger coupling between moment-to-moment changes in functional brain architecture and changes in concrete environmental features. Cognitive adaptation was directly linked to levels of brain-environment alignment, but only indirectly associated with levels of architectural variability. Specifically, stronger coupling between moment-to-moment variability in brain architecture and concrete environmental features predicted poorer cognitive adaptation (i.e., fluid IQ) and greater affectively driven environmental vigilance. Complementarily, across the adult lifespan, higher fluid (but not crystallized) IQ was related to stronger expression of the network communication profile underlying momentary and context-based architectural variability during youth. Our results indicate that the adaptiveness of dynamic brain reconfiguration during naturalistic information processing changes across the lifespan due to the associated network communication profiles. Moreover, our findings on brain-environment alignment complement the existing literature on the beneficial consequences of modulating brain signal variability in response to environmental complexity. Specifically, they imply that coupling between moment-to-moment variability in functional brain architecture and concrete environmental features may index a bias towards perceptually-bound, rather than conceptual processing, which hinders affective functioning and strategic engagement with the external environment.

2014 ◽  
Author(s):  
Sindhuja Sankaran ◽  
Joanna Grzymala-Moszczynska ◽  
Agnieszka Strojny ◽  
Pawel Strojny ◽  
Malgorzata Kossowska

2020 ◽  
Vol 63 (2) ◽  
pp. 46-62
Author(s):  
Suren T. Zolyan

We discuss the role of linguistic metaphors as a cognitive frame for the understanding of genetic information processing. The essential similarity between language and genetic information processing has been recognized since the very beginning, and many prominent scholars have noted the possibility of considering genes and genomes as texts or languages. Most of the core terms in molecular biology are based on linguistic metaphors. The processing of genetic information is understood as some operations on text – writing, reading and editing and their specification (encoding/decoding, proofreading, transcription, translation, reading frame). The concept of gene reading can be traced from the archaic idea of the equation of Life and Nature with the Book. Thus, the genetics itself can be metaphorically represented as some operations on text (deciphering, understanding, code-breaking, transcribing, editing, etc.), which are performed by scientists. At the same time linguistic metaphors portrayed gene entities also as having the ability of reading. In the case of such “bio-reading” some essential features similar to the processes of human reading can be revealed: this is an ability to identify the biochemical sequences based on their function in an abstract system and distinguish between type and its contextual tokens of the same type. Metaphors seem to be an effective instrument for representation, as they make possible a two-dimensional description: biochemical by its experimental empirical results and textual based on the cognitive models of comprehension. In addition to their heuristic value, linguistic metaphors are based on the essential characteristics of genetic information derived from its dual nature: biochemical by its substance, textual (or quasi-textual) by its formal organization. It can be concluded that linguistic metaphors denoting biochemical objects and processes seem to be a method of description and explanation of these heterogeneous properties.


2021 ◽  
pp. 089020702110076
Author(s):  
Marina Fiori ◽  
Shagini Udayar ◽  
Ashley Vesely Maillefer

The relationship between emotional intelligence (EI) and emotion information processing (EIP) has received surprisingly little attention in the literature. The present research addresses these gaps in the literature by introducing a conceptualization of emotional intelligence as composed of two distinct components: (1) EIK or emotion Knowledge component, captured by current ability emotional intelligence tests, related to top-down, higher order reasoning about emotions, and which depends more strongly on acquired and culture-bound knowledge about emotions; (2) EIP or emotion information Processing component, measured with emotion information processing tasks, requires faster processing and is based on bottom-up attention-related responses to emotion information. In Study 1 ( N = 349) we tested the factorial structure of this new EIP component within the nomological network of intelligence and current ability emotional intelligence. In Study 2 ( N =111) we tested the incremental validity of EIP in predicting both overall performance and the charisma of a presenter while presenting in a stressful situation. Results support the importance of acknowledging the role of emotion information processing in the emotional intelligence literature and point to the utility of introducing a new EI measure that would capture stable individual differences in how individuals process emotion information.


1982 ◽  
Vol 12 (3) ◽  
pp. 27-50 ◽  
Author(s):  
A. Bolour ◽  
T. L. Anderson ◽  
L. J. Dekeyser ◽  
H. K. T. Wong

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