Context-dependent spatially periodic activity in the human entorhinal cortex

Proc Natl Acad Sci U S A. 2017 Apr 25;114(17):E3516-E3525. doi: 10.1073/pnas.1701352114. Epub 2017 Apr 10.

Abstract

The spatially periodic activity of grid cells in the entorhinal cortex (EC) of the rodent, primate, and human provides a coordinate system that, together with the hippocampus, informs an individual of its location relative to the environment and encodes the memory of that location. Among the most defining features of grid-cell activity are the 60° rotational symmetry of grids and preservation of grid scale across environments. Grid cells, however, do display a limited degree of adaptation to environments. It remains unclear if this level of environment invariance generalizes to human grid-cell analogs, where the relative contribution of visual input to the multimodal sensory input of the EC is significantly larger than in rodents. Patients diagnosed with nontractable epilepsy who were implanted with entorhinal cortical electrodes performing virtual navigation tasks to memorized locations enabled us to investigate associations between grid-like patterns and environment. Here, we report that the activity of human entorhinal cortical neurons exhibits adaptive scaling in grid period, grid orientation, and rotational symmetry in close association with changes in environment size, shape, and visual cues, suggesting scale invariance of the frequency, rather than the wavelength, of spatially periodic activity. Our results demonstrate that neurons in the human EC represent space with an enhanced flexibility relative to neurons in rodents because they are endowed with adaptive scalability and context dependency.

Keywords: entorhinal cortex; grid cell; human; single unit; spatial memory.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Entorhinal Cortex / pathology
  • Entorhinal Cortex / physiopathology*
  • Epilepsy / pathology
  • Epilepsy / physiopathology*
  • Female
  • Humans
  • Male
  • Neurons*