Task‐specific topology of brain networks supporting working memory and inhibition DOI Creative Commons
Timofey Adamovich, Victoria Ismatullina, Nadezda Chipeeva

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(13)

Published: Sept. 1, 2024

Abstract Network neuroscience explores the brain's connectome, demonstrating that dynamic neural networks support cognitive functions. This study investigates how distinct abilities—working memory and inhibitory control—are supported by unique brain network configurations constructed estimating whole‐brain using mutual information. The involved 195 participants who completed Sternberg Item Recognition task Flanker tasks while undergoing electroencephalography recording. A mixed‐effects linear model analyzed influence of metrics on performance, considering individual differences task‐specific dynamics. findings indicate working control are associated with different attributes, relying distributed more segregated ones. Our analysis suggests both strong weak connections contribute to processes, potentially leading a stable control. indirectly theory intelligence, suggesting functional topology inherent various Nevertheless, we propose understanding variations in abilities requires recognizing shared processes within

Language: Английский

Regional, but not brain-wide, graph theoretic measures are robustly and reproducibly linked to general cognitive ability DOI
M. Fiona Molloy, Aman Taxali, Mike Angstadt

et al.

Cerebral Cortex, Journal Year: 2025, Volume and Issue: 35(4)

Published: April 1, 2025

Abstract General cognitive ability (GCA), also called “general intelligence,” is thought to depend on network properties of the brain, which can be quantified through graph theoretic measures such as small worldness and module degree. An extensive set studies examined links between GCA graphical resting state connectomes. However, these often involved samples, applied just a few theory in each study, yielded inconsistent results, making it challenging identify architectural underpinnings GCA. Here, we address limitations by systematically investigating univariate multivariate relationships 17 whole-brain node-level individuals from Adolescent Brain Cognitive Development Study (n = 5937). We demonstrate that measures, including global efficiency, fail exhibit meaningful with In contrast, multiple especially degree (within-network connectivity), strong associations establish robustness results replicating them second large sample, Human Connectome Project 847), across variety modeling choices. This study provides most comprehensive definitive account date complex interrelationships brain’s intrinsic functional architecture.

Language: Английский

Citations

0
Task-specific topology of brain networks supporting working memory and inhibition DOI Creative Commons
Timofey Adamovich, Victoria Ismatullina, Nadezda Chipeeva

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 10, 2024

Abstract Network neuroscience investigates the brain’s connectome, revealing that cognitive functions are underpinned by dynamic neural networks. This study how distinct abilities—working memory and inhibition—are supported unique brain network configurations, which constructed estimating whole-brain networks through mutual information. The involved 195 participants who completed Sternberg Item Recognition Flanker tasks while undergoing EEG recording. A mixed-effects linear model analyzed influence of metrics on performance, considering individual differences task-specific dynamics. Results indicate working inhibition associated with different attributes, relying distributed more segregated ones. Our analysis suggests both strong weak connections contribute to processes, as could potentially lead a stable support inhibition. findings indirectly Neuroscience Theory Intelligence, suggesting functional topology inherent various functions. Nevertheless, we propose understanding variations in abilities requires recognizing shared processes within Author summary analyzes correspond patterns constructing via information from data subjects performing tasks. Findings reveal is depends research underscores importance function supports notion emerge topology. Moreover, it highlights need account for fully grasp diverse dynamics influencing abilities.

Language: Английский

Citations

2
Task‐specific topology of brain networks supporting working memory and inhibition DOI Creative Commons
Timofey Adamovich, Victoria Ismatullina, Nadezda Chipeeva

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(13)

Published: Sept. 1, 2024

Abstract Network neuroscience explores the brain's connectome, demonstrating that dynamic neural networks support cognitive functions. This study investigates how distinct abilities—working memory and inhibitory control—are supported by unique brain network configurations constructed estimating whole‐brain using mutual information. The involved 195 participants who completed Sternberg Item Recognition task Flanker tasks while undergoing electroencephalography recording. A mixed‐effects linear model analyzed influence of metrics on performance, considering individual differences task‐specific dynamics. findings indicate working control are associated with different attributes, relying distributed more segregated ones. Our analysis suggests both strong weak connections contribute to processes, potentially leading a stable control. indirectly theory intelligence, suggesting functional topology inherent various Nevertheless, we propose understanding variations in abilities requires recognizing shared processes within

Language: Английский

Citations

1