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Neural signatures for active maintenance and interference during working memory updating.

Adrià Vilà-Balló1, Juha Salmi2, Anna Soveri2

  • 1Department of Psychology, Åbo Akademi University, Tehtaankatu 2, Turku 20500, Finland; Cognition and Brain Plasticity Group [Bellvitge Biomedical Research Institute-] IDIBELL, L'Hospitalet de Llobregat, Barcelona 08097, Spain; Department of Psychology, Faculty of Education and Psychology, University of Girona, Girona 17071, Spain; Headache and Neurological Pain Research Group, Vall d'Hebron Research Institute (VHIR), Barcelona 08035, Spain.

Biological Psychology
|January 18, 2018
PubMed
Summary

This study reveals how the brain actively maintains information in working memory (WM) and manages interference. A positive slow wave (PSW) predicts efficient WM, with distinct neural patterns for interference under different task loads.

Keywords:
EEGInterferenceN-back taskPositive slow waveUpdatingWorking memory

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Cognitive Neuroscience

Background:

  • Working memory (WM) is crucial for cognitive tasks, yet its temporal dynamics and component processes remain incompletely understood.
  • The n-back task is a standard paradigm for investigating WM, involving active maintenance and updating of information.
  • Understanding neural mechanisms underlying WM maintenance and interference is key to explaining cognitive performance variations.

Purpose of the Study:

  • To investigate the temporal neural dynamics of active maintenance and interference management in working memory.
  • To differentiate the neural correlates of working memory maintenance versus interference under varying cognitive loads.
  • To explore the relationship between specific electrophysiological markers and working memory task performance.

Main Methods:

  • Event-related potentials (ERPs) were recorded from 27 young adults performing an n-back task.
  • Task difficulty was manipulated by varying the load (1-back vs. 3-back) and including lure stimuli to elicit interference.
  • Analysis focused on pre-stimulus (positive slow wave; PSW) and post-stimulus (P2, P3b) ERP components.

Main Results:

  • A positive slow wave (PSW) preceding stimuli in the 1-back condition correlated with faster reaction times, suggesting efficient working memory maintenance.
  • Augmented P2 and P3b responses were observed in the 1-back condition, influenced by the preceding PSW.
  • Distinct ERP patterns emerged in response to lure stimuli across different load levels, indicating load-dependent interference mechanisms.

Conclusions:

  • The positive slow wave (PSW) is a neural marker for efficient working memory maintenance.
  • Two distinct neural mechanisms appear to underlie interference processing in working memory, varying with task load.
  • These findings advance our understanding of the temporal dynamics and neural basis of working memory components.