Neural Patterns are More Similar across Individuals during Successful Memory Encoding than during Failed Memory...

Area of Science:

• Neuroscience
• Cognitive Psychology
• Memory Research

Background:

• Individual differences exist in memory recall after shared experiences.
• Understanding neural mechanisms of memory encoding is crucial for explaining recall variability.

Purpose of the Study:

• To investigate the influence of intersubject neural patterns during memory encoding on subsequent recall.
• To determine how neural pattern divergence relates to encoding failure.

Main Methods:

• Functional magnetic resonance imaging (fMRI) was used to measure brain activity during memory encoding.
• Intersubject multivariate analyses examined neural similarity across participants viewing video episodes.
• Machine learning classifiers were trained to predict recall success based on neural patterns.

Main Results:

• Greater neural similarity was found in declarative memory network regions (hippocampus, posterior medial cortex [PMC], dorsal Default Mode Network [dDMN]) for individuals who later remembered episodes.
• PMC and dDMN similarity was episode-specific, while hippocampal similarity increased for longer-term memory.
• Neural encoding patterns could predict future recall success in unseen subjects.

Conclusions:

• Common neural patterns during encoding are associated with successful memory formation across individuals.
• Divergence from shared neural patterns may indicate encoding failure.
• This research highlights the role of synchronized neural activity in shared memory experiences.