Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
5 authors.
Yue WangDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, 63110, USA. yue.w@wustl.edu.ORCID 0009-0009-0875-4329
Runnan CaoDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, 63110, USA.ORCID 0000-0001-5827-9903
Jon T WillieDepartment of Neurosurgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Peter BrunnerDepartment of Neurosurgery, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Shuo WangDepartment of Radiology, Washington University in St. Louis, St. Louis, MO, 63110, USA. shuowang@wustl.edu.
Funding
Training and DisseminationP41EB018783 · NIBIB · WADSWORTH CENTER · PI Yi Chen · 2014 to 2026
$15.4M
An Ecosystem of Technology and Protocols for Adaptive Neuromodulation Research in HumansU01NS128612 · NINDS · MAYO CLINIC ROCHESTER · PI Peter Brunner, Kai Miller · 2022 to 2026
$4.5M
BCI2000: Software Resource for Adaptive Neurotechnology ResearchU24NS109103 · NINDS · WASHINGTON UNIVERSITY · PI BRUNNER, PETER · 2019 to 2024
$2.8M
Model-Based Investigation of Aberrant Neural Face Representation in AutismR01MH129426 · NIMH · WASHINGTON UNIVERSITY · PI Shuo Wang · 2022 to 2026
$1.9M
Mechanisms of Amygdala-Mediated Memory Enhancement in HumansR01MH120194 · NIMH · WASHINGTON UNIVERSITY · PI WILLIE, JON TIMOTHY · 2020 to 2024
$1.8M
BCI2000+: A Software Platform for Adaptive NeurotechnologiesR01EB026439 · NIBIB · WASHINGTON UNIVERSITY · PI BRUNNER, PETER · 2018 to 2022
$1.5M
Towards causal mapping of episodic memory iEEG networks via multi-method brain stimulationR61DC021925 · NIDCD · UNIVERSITY OF CHICAGO · PI JOEL L VOSS · 2025 to 2026
$1.5M
Dynamics and Causal Functions of Large-Scale Cortical and Subcortical NetworksU01NS108916 · NINDS · WADSWORTH CENTER · PI WOLPAW, JONATHAN RICKEL · 2018 to 2019
$1.4M
Non-invasive vagus nerve stimulation to mitigate subarachnoid hemorrhage induced inflammationR21NS128307 · NINDS · WASHINGTON UNIVERSITY · PI BRUNNER, PETER, LEUTHARDT, ERIC CLAUDE · 2023 to 2024
$428k
Delineating the neural computational network for object recognitionK99EY036650 · NEI · WASHINGTON UNIVERSITY · PI CAO, RUNNAN · 2024 to 2025
$228k
National Science Foundation (NSF) BCS-1945230NEI NIH HHS K99 EY036650NIBIB NIH HHS P41 EB018783NIBIB NIH HHS R01 EB026439NIDCD NIH HHS R61 DC021925NIMH NIH HHS R01 MH120194NIMH NIH HHS R01 MH129426NINDS NIH HHS R21 NS128307NINDS NIH HHS U01 NS108916NINDS NIH HHS U01 NS128612NINDS NIH HHS U24 NS109103United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA9550-21-1-0088U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH129426, R01MH120194
6 · The paper itself
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.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Single-neuron datasets for linguistic and semantic processing in the human amygdala and hippocampus. · full record | OpenQuestion