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Characterizing synchrony patterns across cognitive task stages of associative recognition memory

Portoles, O., Borst, J. P. & van Vugt, M. K., Oct-2018, In : European Journal of Neuroscience. 48, 8, 2759-2769.

Research output: Contribution to journalArticleAcademicpeer-review

Numerous studies seek to understand the role of oscillatory synchronization in cognition. This problem is particularly challenging in the context of complex cognitive behavior, which consists of a sequence of processing steps with uncertain duration. In this study, we analyzed oscillatory connectivity measures in time windows that previous computational models had associated with a specific sequence of processing steps in an associative memory recognition task (visual encoding, familiarity, memory retrieval, decision making, and motor response). The timing of these processing steps was estimated on a single-trial basis with a novel hidden semi-Markov model multivariate pattern analysis (HSMM-MVPA) method. We show that different processing stages are associated with specific patterns of oscillatory connectivity. Visual encoding is characterized by a dense network connecting frontal, posterior, and temporal areas as well as frontal and occipital phase locking in the 4-9Hz theta band. Familiarity is associated with frontal phase locking in the 9-14Hz alpha band. Decision-making is associated with frontal, and temporo-central interhemispheric connections in the alpha band. During decision making, a second network in the theta band that connects left-temporal, central, and occipital areas bears similarity to the neural signature for preparing a motor response. A similar theta band network is also present during the motor response, with additionally alpha band connectivity between right-temporal and posterior areas. This demonstrates, that the processing stages discovered with the HSMM-MVPA method are indeed linked to distinct synchronization patterns, leading to a closer understanding of the functional role of oscillations in cognition. This article is protected by copyright. All rights reserved.

Original languageEnglish
Article number2759-2769
JournalEuropean Journal of Neuroscience
Volume48
Issue number8
Early online date29-Jan-2018
Publication statusPublished - Oct-2018

    Keywords

  • associative recognition memory, cognitive functions, connectivity, EEG, hidden semi-Markov models, neural oscillations
Related Datasets
  1. CodeDataCharSynchPatternsPBV

    Portoles Marin, O. (Creator), Borst, J. (Creator), Vugt, van, M. (Creator), University of Groningen, 20-Dec-2017

    Dataset

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