Decoding information in the human hippocampus: a user's guide.

摘要: Multi-voxel pattern analysis (MVPA), or ‘decoding’, of fMRI activity has gained popularity in the neuroimaging community recent years. MVPA differs from standard analyses by focusing on whether information relating to specific stimuli is encoded patterns across multiple voxels. If a stimulus can be predicted, decoded, solely activity, it must mean there about that represented brain region where voxels was identified. This ability examine representation (e.g., memories) particular areas makes an especially suitable method for investigating memory representations structures such as hippocampus. approach could open up new opportunities hippocampal terms their content, and how they might change over time, with aging, pathology. Here we consider published studies specifically focused hippocampus, use them illustrate kinds novel questions addressed using MVPA. We then discuss some conceptual methodological challenges arise when implementing this context. Overall, hope highlight potential utility MVPA, appropriately deployed, provide initial guidance those considering means investigate