Neural Noise- Memory neurofeedback systems can be optimized using intracranial EEG (iEEG) recorded from the hippocampus.1
- Closed-loop neurofeedback with hippocampal iEEG is relevant to neural interfaces and BCI methods.1 1
Weekly enrichment (2026-07-20)
- The Clinical Neurophysiology (2025) study by Kunii, Koizumi and colleagues optimized a hippocampal memory neurofeedback system using intracranial EEG in temporal lobe epilepsy (TLE) patients.23
- Patients had intracranial electrodes implanted in bilateral hippocampi and performed a purpose-built memory neurofeedback task; real-time feedback was driven by activity from the electrode in the less-affected hippocampus during encoding.3
- The neurofeedback task was conducted in seven TLE patients.3
- Theta activity increased significantly in the targeted hippocampus in five of the seven patients (Mann-Kendall test, p < 0.05).3
- A mixed linear model across all sessions confirmed a significant theta increase in the targeted hippocampus (p = 0.0032), with no significant change on the contralateral side (p = 0.19).3
- A control condition of three additional TLE patients receiving random neurofeedback showed no significant theta change, indicating the increase was not merely a byproduct of the encoding process.3
- The authors motivate hippocampal neurofeedback as a way to bolster memory before focal resection, since resection renders 60–70% of TLE patients seizure-free but risks further memory decline.3
- The work extends earlier intracranial mesial-temporal-lobe neurofeedback pilots that modulated theta power during memory encoding in drug-resistant epilepsy patients.4