Resting-State Functional Connectivity Correlates of Emotional Memory Control under Cognitive load in Subclinical Anxiety

A new neuroscience study, published on arXiv, provides a detailed map of how the brain controls emotional memories when under mental strain, and how this process is shaped by subclinical anxiety. Led by researchers Shruti Kinger and Mrinmoy Chakrabarty, the 73-page paper used a dual-task experiment with 47 healthy participants. Subjects were asked to intentionally suppress or recall emotionally valenced memories while simultaneously performing a secondary visual working memory task. The goal was to measure 'volitional memory control'—the brain's ability to manage interfering memories—under conditions that mimic real-world cognitive load.

The research employed seed-to-voxel resting-state functional connectivity (rsFC) analysis to identify the underlying brain networks. Key findings revealed that efficient suppression of positive memories correlated with reduced connectivity between the anterior cingulate cortex and posterior perceptual regions, as well as diminished coupling between the hippocampus and frontal pole. In contrast, efficient suppression of negative memories was linked to increased connectivity from the posterior parietal cortex to the lateral occipital cortex. Crucially, the study found that an individual's level of subclinical anxiety acted as a moderator, specifically shaping the associations between cognitive control efficiency and prefrontal cortex connectivity during the suppression of positive memories and the recall of both positive and neutral memories.

This work moves beyond studying memory suppression and recall in isolation, offering a more integrated view of cognitive control under concurrent demand. The identification of distinct neural signatures for controlling positive versus negative emotional content is a significant step. For the AI and mental health tech communities, these findings provide a potential neural blueprint for conditions like anxiety, where maladaptive memory control is a core feature. The detailed connectivity profiles could inform the development of more targeted neurofeedback protocols or biomarker-driven digital therapeutics.