Decoding human spontaneous spiking activity in medial temporal lobe from scalp EEG

Hagar G. Yamin; Guy Gurevitch; Tomer Gazit; Lavi Shpigelman; Itzhak Fried; Yuval Nir; Yoav Benjamini; Talma Hendler

doi:10.1016/j.isci.2023.106391

Decoding human spontaneous spiking activity in medial temporal lobe from scalp EEG

Hagar G. Yamin, Guy Gurevitch, Tomer Gazit, Lavi Shpigelman, Itzhak Fried, Yuval Nir, Yoav Benjamini, Talma Hendler

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Linking scalp electroencephalography (EEG) signals and spontaneous firing activity from deep nuclei in humans is not trivial. To examine this, we analyzed simultaneous recordings of scalp EEG and unit activity in deeply located sites recorded overnight from patients undergoing pre-surgical invasive monitoring. We focused on modeling the within-subject average unit activity of two medial temporal lobe areas: amygdala and hippocampus. Linear regression model correlates the units’ average firing activity to spectral features extracted from the EEG during wakefulness or non-REM sleep. We show that changes in mean firing activity in both areas and states can be estimated from EEG (Pearson r > 0.2, p≪0.001). Region specificity was shown with respect to other areas. Both short- and long-term fluctuations in firing rates contributed to the model accuracy. This demonstrates that scalp EEG frequency modulations can predict changes in neuronal firing rates, opening a new horizon for non-invasive neurological and psychiatric interventions.

Original language	English
Article number	106391
Journal	iScience
Volume	26
Issue number	4
DOIs	https://doi.org/10.1016/j.isci.2023.106391
State	Published - 21 Apr 2023
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2023 The Authors

Funding

We would like to thank Yuval Benjamini for assisting in the initial stages of data analysis. This work was partially funded by European Union Seventh Framework Program (FP7/2007–2013) under grant agreements no. 604102 (Human Brain Project, T.G. and T.H) and no. 294519 (PSARPS H.G.Y. and Y.B.), US National Science Foundation and U.S.-Israel Binational Science Foundation NSF-BSF grant 2017628 (I.F. & Y.N.), and ERC-2019-CoG 864353 (Y.N.).

Funders	Funder number
National Science Foundation
Seventh Framework Programme	604102, 294519
United States-Israel Binational Science Foundation	2017628, ERC-2019-CoG 864353
Seventh Framework Programme

Keywords

Biological sciences
Clinical neuroscience
Neuroscience

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10.1016/j.isci.2023.106391

Cite this

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title = "Decoding human spontaneous spiking activity in medial temporal lobe from scalp EEG",

abstract = "Linking scalp electroencephalography (EEG) signals and spontaneous firing activity from deep nuclei in humans is not trivial. To examine this, we analyzed simultaneous recordings of scalp EEG and unit activity in deeply located sites recorded overnight from patients undergoing pre-surgical invasive monitoring. We focused on modeling the within-subject average unit activity of two medial temporal lobe areas: amygdala and hippocampus. Linear regression model correlates the units{\textquoteright} average firing activity to spectral features extracted from the EEG during wakefulness or non-REM sleep. We show that changes in mean firing activity in both areas and states can be estimated from EEG (Pearson r > 0.2, p≪0.001). Region specificity was shown with respect to other areas. Both short- and long-term fluctuations in firing rates contributed to the model accuracy. This demonstrates that scalp EEG frequency modulations can predict changes in neuronal firing rates, opening a new horizon for non-invasive neurological and psychiatric interventions.",

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AU - Fried, Itzhak

AU - Nir, Yuval

AU - Benjamini, Yoav

AU - Hendler, Talma

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Decoding human spontaneous spiking activity in medial temporal lobe from scalp EEG

Abstract

Bibliographical note

Funding

Keywords

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