Prefrontal Dynamics Associated with Efficient Detours and Shortcuts: A Combined Functional Magnetic Resonance Imaging and Magnetoencenphalography Study.


Journal

Journal of cognitive neuroscience
ISSN: 1530-8898
Titre abrégé: J Cogn Neurosci
Pays: United States
ID NLM: 8910747

Informations de publication

Date de publication:
08 2019
Historique:
pubmed: 17 4 2019
medline: 18 8 2020
entrez: 17 4 2019
Statut: ppublish

Résumé

Central to the concept of the "cognitive map" is that it confers behavioral flexibility, allowing animals to take efficient detours, exploit shortcuts, and avoid alluring, but unhelpful, paths. The neural underpinnings of such naturalistic and flexible behavior remain unclear. In two neuroimaging experiments, we tested human participants on their ability to navigate to a set of goal locations in a virtual desert island riven by lava, which occasionally spread to block selected paths (necessitating detours) or receded to open new paths (affording real shortcuts or false shortcuts to be avoided). Detours activated a network of frontal regions compared with shortcuts. Activity in the right dorsolateral PFC specifically increased when participants encountered tempting false shortcuts that led along suboptimal paths that needed to be differentiated from real shortcuts. We also report modulation in event-related fields and theta power in these situations, providing insight to the temporal evolution of response to encountering detours and shortcuts. These results help inform current models as to how the brain supports navigation and planning in dynamic environments.

Identifiants

pubmed: 30990386
doi: 10.1162/jocn_a_01414
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1227-1247

Subventions

Organisme : Wellcome Trust
ID : 094850/Z/10/Z
Pays : United Kingdom

Auteurs

Amir-Homayoun Javadi (AH)

University College London.
University of Kent.

Eva Zita Patai (EZ)

University College London.

Eugenia Marin-Garcia (E)

University of the Basque Country (UPV/EHU).

Aaron Margolis (A)

University College London.

Heng-Ru M Tan (HM)

University College London.

Dharshan Kumaran (D)

University College London.
Google Deepmind, London.

Marko Nardini (M)

Durham University.

Will Penny (W)

University of East Anglia.

Emrah Duzel (E)

University Hospital Magdeburg.

Peter Dayan (P)

Max Planck Institute for Biological Cybernetics.

Hugo J Spiers (HJ)

University College London.

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Classifications MeSH