Dataset of human-single neuron activity during a Sternberg working memory task
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1.
California Institute of Technology
Abstract
We present a dataset of 1809 single neurons recorded from the human medial temporal lobe (amygdala and hippocampus) and medial frontal lobe (anterior cingulate cortex, pre-supplementary motor area, ventral medial prefrontal cortex) across 41 sessions from 21 patients that underwent seizure monitoring with depth electrodes. Subjects performed a screening task (907 neurons) to identify images for which highly selective cells were present. Subjects then performed a working memory task (902 neurons), in which they were sequentially presented with 1–3 images for which highly selective cells were present and, following a maintenance period, were asked if the probe was identical to one of the maintained images. This Neurodata Without Borders formatted dataset includes spike times, extracellular spike waveforms, stimuli presented, behavior, electrode locations, and subject demographics. As validation, we replicate previous findings on the selectivity of concept cells and their persistent activity during working memory maintenance. This large dataset of rare human single-neuron recordings and behavior enables the investigation of the neural mechanisms of working memory in humans.
Copyright and License
© Te Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Acknowledgement
We thank the staff of the Epilepsy Monitoring Unit at Cedars-Sinai Medical Center for their assistance and all patients for their participation. We thank Ryan Ly and Ben Dichter for assistance with NWB use, Shannon Sullivan for spike sorting and data processing, and Ian Ross for patient care. This work was supported by the National Institute of Health through U01NS117839, U01NS098961, and R01MH110831 (to U.R.).
Contributions
Author contributions are as follows: performed experiments (J.K., A.B., U.R.), data processing & analysis (M.K.), development of code & analytical tools (M.K.), performed surgery (A.M.), patient care and seizure localization (C.R., J.C), experimental design (J.K., U.R.), conception and initiation of the project (U.R.), writing of paper (M.K., U.R.).
Code Availability
All code associated with this project is available as open source. The code is available on GitHub (https://github.com/rutishauserlab/workingmem-release-NWB). MATLAB scripts are included in this repository to reproduce all figures shown and to illustrate how to use the data.
Conflict of Interest
The authors declare no competing interests.
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Additional details
- National Institutes of Health
- U01NS117839
- National Institutes of Health
- U01NS098961
- National Institutes of Health
- R01MH110831