Self-prioritization is supported by interactions between large-scale brain networks
Authors: Yankouskaya, A. and Sui, J.
Journal: European Journal of Neuroscience
Volume: 55
Issue: 5
Pages: 1244-1261
eISSN: 1460-9568
ISSN: 0953-816X
DOI: 10.1111/ejn.15612
Abstract:Resting-state functional magnetic resonance imaging (fMRI) has provided solid evidence that the default mode network (DMN) is implicated in self-referential processing. The functional connectivity of the DMN has also been observed in tasks where self-referential processing leads to self-prioritization (SPE) in perception and decision-making. However, we are less certain about whether (i) SPE solely depends on the interplay within parts of the DMN or is driven by multiple brain networks and (ii) whether SPE is associated with a unique component of interconnected networks or can be explained by related effects such as emotion prioritization. We addressed these questions by identifying and comparing topological clusters of networks involved in self-and emotion prioritization effects generated in an associative-matching task. Using network-based statistics, we found that SPE controlled by emotion is supported by a unique component of interacting networks, including the medial prefrontal part of the DMN (MPFC), frontoparietal network (FPN) and insular salience network (SN). This component emerged as a result of a focal effect confined to few connections, indicating that interaction between DMN, FPC and SN is critical to cognitive operations for the SPE. This result was validated on a separate data set. In contrast, prioritization of happy emotion was associated with a component formed by interactions between the rostral prefrontal part of SN, posterior parietal part of FPN and the MPFC, whereas sad emotion reveals a cluster of the DMN, dorsal attention network (DAN) and visual medial network (VMN). We discussed theoretical and methodological aspects of these findings within the more general domain of social cognition.
https://eprints.bournemouth.ac.uk/36552/
Source: Scopus
Self-prioritization is supported by interactions between large-scale brain networks.
Authors: Yankouskaya, A. and Sui, J.
Journal: Eur J Neurosci
Volume: 55
Issue: 5
Pages: 1244-1261
eISSN: 1460-9568
DOI: 10.1111/ejn.15612
Abstract:Resting-state functional magnetic resonance imaging (fMRI) has provided solid evidence that the default mode network (DMN) is implicated in self-referential processing. The functional connectivity of the DMN has also been observed in tasks where self-referential processing leads to self-prioritization (SPE) in perception and decision-making. However, we are less certain about whether (i) SPE solely depends on the interplay within parts of the DMN or is driven by multiple brain networks and (ii) whether SPE is associated with a unique component of interconnected networks or can be explained by related effects such as emotion prioritization. We addressed these questions by identifying and comparing topological clusters of networks involved in self-and emotion prioritization effects generated in an associative-matching task. Using network-based statistics, we found that SPE controlled by emotion is supported by a unique component of interacting networks, including the medial prefrontal part of the DMN (MPFC), frontoparietal network (FPN) and insular salience network (SN). This component emerged as a result of a focal effect confined to few connections, indicating that interaction between DMN, FPC and SN is critical to cognitive operations for the SPE. This result was validated on a separate data set. In contrast, prioritization of happy emotion was associated with a component formed by interactions between the rostral prefrontal part of SN, posterior parietal part of FPN and the MPFC, whereas sad emotion reveals a cluster of the DMN, dorsal attention network (DAN) and visual medial network (VMN). We discussed theoretical and methodological aspects of these findings within the more general domain of social cognition.
https://eprints.bournemouth.ac.uk/36552/
Source: PubMed
Self-prioritization is supported by interactions between large-scale brain networks
Authors: Yankouskaya, A. and Sui, J.
Journal: EUROPEAN JOURNAL OF NEUROSCIENCE
Volume: 55
Issue: 5
Pages: 1244-1261
eISSN: 1460-9568
ISSN: 0953-816X
DOI: 10.1111/ejn.15612
https://eprints.bournemouth.ac.uk/36552/
Source: Web of Science (Lite)
Self-prioritization is supported by interactions between large-scale brain networks
Authors: Yankouskaya, A. and Sui, J.
Journal: European Journal of Neuroscience
Publisher: Wiley-Blackwell
ISSN: 0953-816X
DOI: 10.1111/ejn.15612
Abstract:Resting-state functional magnetic resonance imaging (fMRI) has provided solid evidence that the default-mode network (DMN) is implicated in self-referential processing. The functional connectivity of the DMN has also been observed in tasks where self-referential processing leads to self-prioritization (SPE) in perception and decision-making. However, we are less certain about whether (i) SPE solely depends on the interplay within parts of the DMN or is driven by multiple brain networks; and (ii) whether SPE is associated with a unique component of interconnected networks or can be explained by related effects such as emotion prioritization. We addressed these questions by identifying and comparing topological clusters of networks involved in self-and emotion prioritization effects generated in an associative-matching task. Using network-based statistics, we found that SPE controlled by emotion is supported by a unique component of interacting networks, including the medial prefrontal part of the DMN (MPFC), Frontoparietal network (FPN) and insular Salience network (SN). This component emerged as a result of a focal effect confined to few connections, indicating that interaction between DMN, FPC and SN is critical to cognitive operations for the SPE. This result was validated on a separate data set. In contrast, prioritization of happy emotion was associated with a component formed by interactions between the rostral prefrontal part of SN, posterior parietal part of FPN and the MPFC, while sad emotion reveals a cluster of the DMN, Dorsal Attention Network (DAN) and Visual Medial Network (VMN). We discussed theoretical and methodological aspects of these findings within the more general domain of social cognition.
https://eprints.bournemouth.ac.uk/36552/
Source: Manual
Self-prioritization is supported by interactions between large-scale brain networks.
Authors: Yankouskaya, A. and Sui, J.
Journal: The European journal of neuroscience
Volume: 55
Issue: 5
Pages: 1244-1261
eISSN: 1460-9568
ISSN: 0953-816X
DOI: 10.1111/ejn.15612
Abstract:Resting-state functional magnetic resonance imaging (fMRI) has provided solid evidence that the default mode network (DMN) is implicated in self-referential processing. The functional connectivity of the DMN has also been observed in tasks where self-referential processing leads to self-prioritization (SPE) in perception and decision-making. However, we are less certain about whether (i) SPE solely depends on the interplay within parts of the DMN or is driven by multiple brain networks and (ii) whether SPE is associated with a unique component of interconnected networks or can be explained by related effects such as emotion prioritization. We addressed these questions by identifying and comparing topological clusters of networks involved in self-and emotion prioritization effects generated in an associative-matching task. Using network-based statistics, we found that SPE controlled by emotion is supported by a unique component of interacting networks, including the medial prefrontal part of the DMN (MPFC), frontoparietal network (FPN) and insular salience network (SN). This component emerged as a result of a focal effect confined to few connections, indicating that interaction between DMN, FPC and SN is critical to cognitive operations for the SPE. This result was validated on a separate data set. In contrast, prioritization of happy emotion was associated with a component formed by interactions between the rostral prefrontal part of SN, posterior parietal part of FPN and the MPFC, whereas sad emotion reveals a cluster of the DMN, dorsal attention network (DAN) and visual medial network (VMN). We discussed theoretical and methodological aspects of these findings within the more general domain of social cognition.
https://eprints.bournemouth.ac.uk/36552/
Source: Europe PubMed Central
Self-prioritization is supported by interactions between large-scale brain networks
Authors: Yankouskaya, A. and Sui, J.
Journal: European Journal of Neuroscience
Volume: 55
Issue: 5
Pages: 1244-1261
ISSN: 0953-816X
Abstract:Resting-state functional magnetic resonance imaging (fMRI) has provided solid evidence that the default-mode network (DMN) is implicated in self-referential processing. The functional connectivity of the DMN has also been observed in tasks where self-referential processing leads to self-prioritization (SPE) in perception and decision-making. However, we are less certain about whether (i) SPE solely depends on the interplay within parts of the DMN or is driven by multiple brain networks; and (ii) whether SPE is associated with a unique component of interconnected networks or can be explained by related effects such as emotion prioritization. We addressed these questions by identifying and comparing topological clusters of networks involved in self-and emotion prioritization effects generated in an associative-matching task. Using network-based statistics, we found that SPE controlled by emotion is supported by a unique component of interacting networks, including the medial prefrontal part of the DMN (MPFC), Frontoparietal network (FPN) and insular Salience network (SN). This component emerged as a result of a focal effect confined to few connections, indicating that interaction between DMN, FPC and SN is critical to cognitive operations for the SPE. This result was validated on a separate data set. In contrast, prioritization of happy emotion was associated with a component formed by interactions between the rostral prefrontal part of SN, posterior parietal part of FPN and the MPFC, while sad emotion reveals a cluster of the DMN, Dorsal Attention Network (DAN) and Visual Medial Network (VMN). We discussed theoretical and methodological aspects of these findings within the more general domain of social cognition.
https://eprints.bournemouth.ac.uk/36552/
Source: BURO EPrints