Single-neuron datasets for linguistic and semantic processing in the human amygdala and hippocampus

Understanding linguistic and semantic processing in the human brain involves exploring intricate neural networks. However, it remains unclear whether and how the amygdala and hippocampus are involved in these processes. Here, we recorded single-neuron activity from the human amygdala and hippocampus while neurosurgical patients with intractable epilepsy performed various language tasks. Specifically, we recorded from 68 neurons in 7 patients for the visual language localizer task, 115 neurons in 12 patients for the auditory language localizer task, 88 neurons in 9 patients for the TIMIT task, and 51 neurons in 4 patients for the natural story task. Together, our comprehensive dataset with a considerable population of neurons can facilitate multifaceted investigation of language and semantic processing with the highest spatial and temporal resolution currently available in humans.

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Publication Details

Journal
Scientific Data
Published
2025-08-25
DOI
https://doi.org/10.1038/s41597-025-05839-3
Primary Topic
Memory and Neural Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

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article

Single-neuron datasets for linguistic and semantic processing in the human amygdala and hippocampus

Peter Brunner, Runnan Cao, Jon T. Willie, Yue Wang et al.
Scientific Data
Memory and Neural Mechanisms
article

Single-neuron datasets for linguistic and semantic processing in the human amygdala and hippocampus

Peter Brunner, Runnan Cao, Jon T. Willie, Yue Wang, Shuo Wang
article en

Abstract

Understanding linguistic and semantic processing in the human brain involves exploring intricate neural networks. However, it remains unclear whether and how the amygdala and hippocampus are involved in these processes. Here, we recorded single-neuron activity from the human amygdala and hippocampus while neurosurgical patients with intractable epilepsy performed various language tasks. Specifically, we recorded from 68 neurons in 7 patients for the visual language localizer task, 115 neurons in 12 patients for the auditory language localizer task, 88 neurons in 9 patients for the TIMIT task, and 51 neurons in 4 patients for the natural story task. Together, our comprehensive dataset with a considerable population of neurons can facilitate multifaceted investigation of language and semantic processing with the highest spatial and temporal resolution currently available in humans.

Scientific DataVol. 12(1)
Washington University in St. Louis (US)
National Science Foundation, National Institutes of Health, McDonnell Center for Systems Neuroscience, National Institute of Mental Health, Air Force Office of Scientific Research
Openalex Percentile: Top 78%
Memory and Neural Mechanisms
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