Inducing representational change in the hippocampus through real-time neurofeedback

Area of Science:

• Neuroscience
• Cognitive Science
• Neuroimaging

Background:

• Neural representations of perceived or remembered items overlap, influencing subsequent cognition.
• Hippocampal overlap is theorized to increase with cortical coactivation, integrating memories.
• Previous methods for inducing coactivation relied on indirect measures like stimulus similarity.

Purpose of the Study:

• To directly induce coactivation in the visual cortex using closed-loop neurofeedback.
• To investigate the behavioral and neural consequences of experimentally controlled coactivation.
• To demonstrate the potential of neurofeedback for altering and integrating memories.

Main Methods:

• Utilized real-time functional magnetic resonance imaging (fMRI) for closed-loop neurofeedback.
• Participants were trained to increase coactivation between neural representations of visual objects.
• Compared memory discrimination and neural patterns for trained versus untrained object pairs.

Main Results:

• Participants successfully increased neural coactivation using fMRI neurofeedback.
• Trained objects showed behavioral memory integration, becoming harder to discriminate.
• Hippocampal neural patterns for trained objects showed reduced distinctiveness, indicating integration.

Conclusions:

• Directly induced neural coactivation via neurofeedback can lead to memory integration.
• Neurofeedback offers a powerful tool to manipulate neural representations and cognitive processes.
• Findings highlight the role of neural overlap in memory formation and modification.