Brain connectivity during resting state and subsequent working memory task predicts behavioural performance.

Area of Science:

• Neuroscience
• Cognitive Psychology
• Functional Neuroimaging

Background:

• Brain activity during cognitive tasks involves interconnected functional networks.
• The default mode network (DMN) is implicated in shifting between rest and attention.
• Understanding DMN's role in cognitive tasks like working memory is crucial.

Purpose of the Study:

• To investigate brain connectivity patterns during a working memory (WM) task with varying memory loads.
• To explore the relationship between resting-state functional connectivity and task performance.
• To identify specific brain regions and network interactions predictive of WM execution.

Main Methods:

• Utilized functional magnetic resonance imaging (fMRI) in 16 healthy young adults.
• Employed an n-back task with increasing memory load (1-back to 3-back).
• Acquired resting-state fMRI data before and task-fMRI data after initial training.

Main Results:

• Intrinsic correlation within DMN and WM networks peaked during the most demanding (3-back) condition.
• A stronger negative correlation between DMN and WM networks correlated with better behavioral performance.
• Posteromedial DMN connectivity (precuneus) before the task predicted WM performance.

Conclusions:

• Functional connectivity, particularly the negative correlation between DMN and WM networks, is directly linked to cognitive performance.
• Resting-state activity in specific DMN regions may reflect preparatory attentional resources for anticipated cognitive challenges.
• This study provides novel insights into the neural mechanisms underlying working memory and attention.