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Working memory refers to a combination of components, including short-term memory and attention, that allow an individual to hold information temporarily as we perform cognitive tasks. It is an essential cognitive function that enables the execution of complex tasks such as problem-solving, comprehension, and reasoning. Unlike short-term memory, which simply involves the storage of information for a brief period, working memory involves the active manipulation and processing of this...
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Interhemispheric Connectivity Supports Load-Dependent Working Memory Maintenance for Complex Visual Stimuli.

Chelsea Reichert Plaska1,2, Jefferson Ortega1, Bernard A Gomes3

  • 1The Behavioral and Cognitive Neuroscience Program, CUNY Graduate Center, New York, New York, USA.

Brain Connectivity
|April 27, 2022
PubMed
Summary
This summary is machine-generated.

This study found that maintaining complex visual information in working memory (WM) with distractors involves reduced brain activity but increased interhemispheric connectivity during low loads. This suggests a role for brain networks in filtering information when attentional resources are limited.

Keywords:
connectivitydelay activityinterferencemaintenanceworking memory

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Area of Science:

  • Cognitive Neuroscience
  • Neuroimaging
  • Working Memory Research

Background:

  • Working memory (WM) research often uses simple stimuli and unfilled delays, limiting understanding of complex information processing.
  • Previous studies show increased frontoparietal activity and connectivity with higher WM load.
  • The neural basis of maintaining complex stimuli, especially with distractors, remains less understood.

Purpose of the Study:

  • To investigate how delay period activity and functional connectivity change during low versus high working memory load for complex naturalistic scenes.
  • To explore the role of interhemispheric connectivity in maintaining complex stimuli under distracting conditions.

Main Methods:

  • Twenty-two participants performed a modified Sternberg task using naturalistic scenes (2 or 5 items) with phase-scrambled scenes as distractors during the delay.
  • Scalp electroencephalography (EEG) was used to record brain activity and functional connectivity (phase-locking value, PLV).
  • Analysis focused on theta/alpha, alpha, and lower beta bands during the delay period.

Main Results:

  • Reduced theta/alpha delay activity amplitude was observed during high compared to low WM load.
  • Increased interhemispheric functional connectivity (PLV) was found during low load, particularly between frontal and temporal regions across theta/alpha and alpha/beta bands.
  • Specific connectivity patterns included left frontal-right posterior temporal, right anterior temporal-left central, and left anterior temporal-posterior temporal connections.

Conclusions:

  • Working memory maintenance of complex stimuli with distractors shows load-dependent modulation of brain activity and connectivity.
  • Increased interhemispheric connectivity in frontotemporal networks during low load suggests its importance for filtering and maintaining complex information.
  • Findings highlight the role of specific brain networks in attentional filtering during complex working memory tasks.