Brain network dynamics during spontaneous strategy shifts and incremental task optimization

With practice, humans improve their performance in a task by either optimizing a known strategy or discovering a novel, potentially more fruitful strategy. We investigated the neural processes underlying these two fundamental abilities by applying fMRI in a task with two possible alternative strateg...

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Main Authors: Michele Allegra, Shima Seyed-Allaei, Nicolas W. Schuck, Daniele Amati, Alessandro Laio, Carlo Reverberi
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:NeuroImage
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920303402
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spelling doaj-9140b5b575e946ca83e658310a9387e22020-11-25T01:26:52ZengElsevierNeuroImage1095-95722020-08-01217116854Brain network dynamics during spontaneous strategy shifts and incremental task optimizationMichele Allegra0Shima Seyed-Allaei1Nicolas W. Schuck2Daniele Amati3Alessandro Laio4Carlo Reverberi5Scuola Internazionale Superiore di Studi Avanzati, Trieste, 34136, Trieste, Italy; Institut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289 CNRS, 13005, Marseille, France; Corresponding author. Institut de Neurosciences de la Timone (INT), UMR 7289 CNRS, Aix Marseille University, Campus de Santé Timone, 27 Bd. Jean Moulin, 13385, Marseille, France.School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), P.O. Box 19395-5746, Tehran, IranMax Planck Research Group NeuroCode, Max Planck Institute for Human Development, 14195, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, GermanyScuola Internazionale Superiore di Studi Avanzati, Trieste, 34136, Trieste, ItalyScuola Internazionale Superiore di Studi Avanzati, Trieste, 34136, Trieste, Italy; International Centre for Theoretical Physics, 34100, Trieste, ItalyDepartment of Psychology, Università Milano - Bicocca, Milan, Italy; NeuroMI - Milan Center for Neuroscience, Milan, Italy; Corresponding author. Department of Psychology and Milan Center for Neuroscience, Università Milano - Bicocca, Piazza Ateneo Nuovo, 1, 20126, Milano, Italy.With practice, humans improve their performance in a task by either optimizing a known strategy or discovering a novel, potentially more fruitful strategy. We investigated the neural processes underlying these two fundamental abilities by applying fMRI in a task with two possible alternative strategies. For analysis we combined time-resolved network analysis with Coherence Density Peak Clustering (Allegra et al., 2017), univariate GLM, and multivariate pattern classification. Converging evidence showed that the posterior portion of the default network, i.e. the precuneus and the angular gyrus bilaterally, has a central role in the optimization of the current strategy. These regions encoded the relevant spatial information, increased the strength of local connectivity as well as the long-distance connectivity with other relevant regions in the brain (e.g., visual cortex, dorsal attention network). The connectivity increase was proportional to performance optimization. By contrast, the anterior portion of the default network (i.e. medial prefrontal cortex) and the rostral portion of the fronto-parietal network were associated with new strategy discovery: an early increase of local and long-range connectivity centered on these regions was only observed in the subjects who would later shift to a new strategy. Overall, our findings shed light on the dynamic interactions between regions related to attention and with cognitive control, underlying the balance between strategy exploration and exploitation. Results suggest that the default network, far from being “shut-down” during task performance, has a pivotal role in the background exploration and monitoring of potential alternative courses of action.http://www.sciencedirect.com/science/article/pii/S1053811920303402
collection DOAJ
language English
format Article
sources DOAJ
author Michele Allegra
Shima Seyed-Allaei
Nicolas W. Schuck
Daniele Amati
Alessandro Laio
Carlo Reverberi
spellingShingle Michele Allegra
Shima Seyed-Allaei
Nicolas W. Schuck
Daniele Amati
Alessandro Laio
Carlo Reverberi
Brain network dynamics during spontaneous strategy shifts and incremental task optimization
NeuroImage
author_facet Michele Allegra
Shima Seyed-Allaei
Nicolas W. Schuck
Daniele Amati
Alessandro Laio
Carlo Reverberi
author_sort Michele Allegra
title Brain network dynamics during spontaneous strategy shifts and incremental task optimization
title_short Brain network dynamics during spontaneous strategy shifts and incremental task optimization
title_full Brain network dynamics during spontaneous strategy shifts and incremental task optimization
title_fullStr Brain network dynamics during spontaneous strategy shifts and incremental task optimization
title_full_unstemmed Brain network dynamics during spontaneous strategy shifts and incremental task optimization
title_sort brain network dynamics during spontaneous strategy shifts and incremental task optimization
publisher Elsevier
series NeuroImage
issn 1095-9572
publishDate 2020-08-01
description With practice, humans improve their performance in a task by either optimizing a known strategy or discovering a novel, potentially more fruitful strategy. We investigated the neural processes underlying these two fundamental abilities by applying fMRI in a task with two possible alternative strategies. For analysis we combined time-resolved network analysis with Coherence Density Peak Clustering (Allegra et al., 2017), univariate GLM, and multivariate pattern classification. Converging evidence showed that the posterior portion of the default network, i.e. the precuneus and the angular gyrus bilaterally, has a central role in the optimization of the current strategy. These regions encoded the relevant spatial information, increased the strength of local connectivity as well as the long-distance connectivity with other relevant regions in the brain (e.g., visual cortex, dorsal attention network). The connectivity increase was proportional to performance optimization. By contrast, the anterior portion of the default network (i.e. medial prefrontal cortex) and the rostral portion of the fronto-parietal network were associated with new strategy discovery: an early increase of local and long-range connectivity centered on these regions was only observed in the subjects who would later shift to a new strategy. Overall, our findings shed light on the dynamic interactions between regions related to attention and with cognitive control, underlying the balance between strategy exploration and exploitation. Results suggest that the default network, far from being “shut-down” during task performance, has a pivotal role in the background exploration and monitoring of potential alternative courses of action.
url http://www.sciencedirect.com/science/article/pii/S1053811920303402
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