Identifying the neurophysiological effects of memory-enhancing amygdala stimulation using interpretable machine learning.

ABSTRACT:

Background

Direct electrical stimulation of the amygdala can enhance declarative memory for specific events. An unanswered question is what underlying neurophysiological changes are induced by amygdala stimulation.

Objective

To leverage interpretable machine learning to identify the neurophysiological processes underlying amygdala-mediated memory, and to develop more efficient neuromodulation technologies.

Method

Patients with treatment-resistant epilepsy and depth electrodes placed in the hippocampus and amygdala performed a recognition memory task for neutral images of objects. During the encoding phase, 160 images were shown to patients. Half of the images were followed by brief low-amplitude amygdala stimulation. For local field potentials (LFPs) recorded from key

SUBMITTER: Sendi MSE 

PROVIDER: S-EPMC9116878 | biostudies-literature | 2021 Nov-Dec

REPOSITORIES: biostudies-literature