Large-scale coupling dynamics of instructed reversal learning.

Abstract:

:The ability to rapidly learn from others by instruction is an important characteristic of human cognition. A recent study found that the rapid transfer from initial instructions to fluid behavior is supported by changes of functional connectivity between and within several large-scale brain networks, and particularly by the coupling of the dorsal attention network (DAN) with the cingulo-opercular network (CON). In the present study, we extended this approach to investigate how these brain networks interact when stimulus-response mappings are altered by novel instructions. We hypothesized that residual stimulus-response associations from initial practice might negatively impact the ability to implement novel instructions. Using functional imaging and large-scale connectivity analysis, we found that functional coupling between the CON and DAN was generally at a higher level during initial than reversal learning. Examining the learning-related connectivity dynamics between the CON and DAN in more detail by means of multivariate patterns analyses, we identified a specific subset of connections which showed a particularly high increase in connectivity during initial learning compared to reversal learning. This finding suggests that the CON-DAN connections can be separated into two functionally dissociable yet spatially intertwined subsystems supporting different aspects of short-term task automatization.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Mohr H,Wolfensteller U,Ruge H

doi

10.1016/j.neuroimage.2017.11.049

subject

Has Abstract

pub_date

2018-02-15 00:00:00

pages

237-246

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(17)30992-8

journal_volume

167

pub_type

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