Back to Search Start Over

Resource sharing in cognitive control: Behavioral evidence and neural substrates

Authors :
Tingting Wu
Alfredo Spagna
Melissa-Ann Mackie
Jin Fan
Source :
NeuroImage, Vol 273, Iss , Pp 120084- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Cognitive control is a capacity-limited function responsible for the resolution of conflict among competing cognitive processes. However, whether cognitive control handles multiple concurrent requests through a single bottleneck or a resource sharing mechanism remains elusive. In this functional magnetic resonance imaging study, we examined the effect of dual flanker conflict processing on behavioral performance and on activation in regions of the cognitive control network (CCN). In each trial, participants completed two flanker conflict tasks (T1 and T2) sequentially, with the stimulus onset asynchrony (SOA) varied as short (100 ms) and long (1000 ms). We found a significant conflict effect (indexed by the difference between incongruent and congruent flanker conditions) in reaction time (RT) for both T1 and T2, together with a significant interaction between SOA and T1-conflict on RT for T2 with an additive effect. Importantly, there was a small but significant SOA effect on T1 with a prolonged RT under the short SOA compared to the long SOA. Increased activation in the CCN was associated with conflict processing and the main effect of SOA. The anterior cingulate cortex and anterior insular cortex showed a significant interaction effect between SOA and T1-conflict in activation parallel with the behavioral results. The behavioral and brain activation patterns support a central resource sharing model, in which the core resources for cognitive control are shared when multiple simultaneous conflicting processes are required.

Details

Language :
English
ISSN :
10959572
Volume :
273
Issue :
120084-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.9a0fc23965db4483aa8d12a8f879fe4f
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2023.120084