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Working Memory

Working Memory

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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Updated: Jan 14, 2026

The Combination of Transcranial Alternating Current Stimulation and Electroencephalogram

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Revisiting alpha-theta cross-frequency dynamics during working memory.

Julio Rodriguez-Larios¹, Mark J Roberts², Saskia Haegens^3,4

¹Department of Psychology, Brunel University London, Kingston Lane, Uxbridge UB8 3PH, England, United Kingdom.

Cerebral Cortex (New York, N.Y. : 1991)

|January 13, 2026

Summary

This summary is machine-generated.

The 2:1 alpha-theta brainwave ratio during working memory indicates functional segregation, not enhanced connectivity, challenging the Binary Hierarchy Brain Body Oscillation Theory (BHBBOT). This finding suggests brain regions become less connected when this specific brain rhythm occurs.

Keywords:

connectivity cross-frequency coupling eeg neural oscillations working memory

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Area of Science:

Neuroscience
Cognitive Science
Computational Neuroscience

Background:

Previous electroencephalography (EEG) studies indicate a 2:1 frequency ratio between alpha and theta oscillations during working memory tasks.
The Binary Hierarchy Brain Body Oscillation Theory (BHBBOT) proposes this cross-frequency coupling reflects enhanced neural connectivity.

Purpose of the Study:

To empirically test the BHBBOT prediction by examining the relationship between alpha-theta cross-frequency ratios and neural connectivity during working memory.
To investigate if observed alpha-theta dynamics during working memory are associated with changes in brain region connectivity.

Main Methods:

Utilized high-density EEG recordings.
Applied source localization techniques to pinpoint rhythm-generating brain regions.
Employed connectivity metrics from Information Theory (IT) and the Theory of Weakly Coupled Oscillators (TWCO).

Main Results:

A higher proportion of 2:1 alpha-theta ratios in frontal and parietal regions correlated with decreased connectivity, as measured by IT and TWCO.
Phase synchrony between these regions was reduced during working memory and negatively correlated with behavioral performance.

Conclusions:

The findings challenge the BHBBOT by demonstrating that increased 2:1 alpha-theta ratios during working memory are associated with functional segregation, not integration.
This suggests a decoupling of brain regions rather than enhanced connectivity when this specific oscillatory pattern emerges.