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Selective Modulation of Evidence Accumulation by Hippocampal Theta Oscillations During Mnemonic Decision-Making
Pei L Robins1, Jessica R Gilbert1, Bruce Luber1
1Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Human Brain Mapping
|April 28, 2026
Summary
Hippocampal theta oscillations help distinguish similar memories, influencing decisions. This study links brain waves to evidence accumulation in memory tasks, revealing how the hippocampus guides choices.
Area of Science:
- Neuroscience
- Cognitive Science
- Memory Research
Background:
- Episodic memory relies on pattern separation to differentiate similar experiences.
- The hippocampus, including dentate gyrus, CA3, and CA1, is crucial for memory, but its temporal dynamics in decision-making are unclear.
Purpose of the Study:
- To investigate the relationship between hippocampal theta oscillations and evidence accumulation during mnemonic discrimination.
- To explore how these neural dynamics influence memory-based decisions.
Main Methods:
- Source-localized magnetoencephalography (MEG) and computational modeling (Linear Ballistic Accumulator model).
- Participants performed the Mnemonic Similarity Task, classifying images as "Old," "Similar," or "New."
- Hippocampal theta power was analyzed in relation to trial-by-trial drift rates (evidence accumulation).
Main Results:
- Hippocampal theta power predicted evidence accumulation dynamics during mnemonic discrimination.
- Left hippocampal theta negatively correlated with drift toward "New" responses on lure trials.
- Right hippocampal theta positively correlated with drift toward "Similar" responses on foil trials, indicating partial-match sensitivity.
Conclusions:
- Hippocampal theta oscillations selectively index partial-match sensitivity in memory.
- These neural fluctuations are linked to the dynamics of memory-guided decision-making.
- The study demonstrates the feasibility of integrating deep-source MEG with computational models for studying memory.

