Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG

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Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG. / Krishnaswamy, Pavitra; Obregon-Henao, Gabriel; Ahveninen, Jyrki; Khan, Sheraz; Babadi, Behtash; Iglesias, Juan Eugenio; Hämäläinen, Matti S.; Purdon, Patrick L.

In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 114, No. 48, 28.11.2017, p. E10465-E10474.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Krishnaswamy, P, Obregon-Henao, G, Ahveninen, J, Khan, S, Babadi, B, Iglesias, JE, Hämäläinen, MS & Purdon, PL 2017, 'Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG' Proceedings of the National Academy of Sciences of the United States of America, vol. 114, no. 48, pp. E10465-E10474. https://doi.org/10.1073/pnas.1705414114

APA

Krishnaswamy, P., Obregon-Henao, G., Ahveninen, J., Khan, S., Babadi, B., Iglesias, J. E., ... Purdon, P. L. (2017). Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG. Proceedings of the National Academy of Sciences of the United States of America, 114(48), E10465-E10474. https://doi.org/10.1073/pnas.1705414114

Vancouver

Author

Krishnaswamy, Pavitra ; Obregon-Henao, Gabriel ; Ahveninen, Jyrki ; Khan, Sheraz ; Babadi, Behtash ; Iglesias, Juan Eugenio ; Hämäläinen, Matti S. ; Purdon, Patrick L. / Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG. In: Proceedings of the National Academy of Sciences of the United States of America. 2017 ; Vol. 114, No. 48. pp. E10465-E10474.

Bibtex - Download

@article{16b2f20d07aa4ad9ac7143875af3b29d,
title = "Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG",
abstract = "Subcortical structures play a critical role in brain function. However, options for assessing electrophysiological activity in these structures are limited. Electromagnetic fields generated by neuronal activity in subcortical structures can be recorded noninvasively, using magnetoencephalography (MEG) and electroencephalography (EEG). However, these subcortical signals are much weaker than those generated by cortical activity. In addition, we show here that it is difficult to resolve subcortical sources because distributed cortical activity can explain the MEG and EEG patterns generated by deep sources. We then demonstrate that if the cortical activity is spatially sparse, both cortical and subcortical sources can be resolved with M/EEG. Building on this insight, we develop a hierarchical sparse inverse solution for M/EEG. We assess the performance of this algorithm on realistic simulations and auditory evoked response data, and show that thalamic and brainstem sources can be correctly estimated in the presence of cortical activity. Our work provides alternative perspectives and tools for characterizing electrophysiological activity in subcortical structures in the human brain.",
keywords = "EEG, MEG, Source localization, Sparsity, Subcortical structures",
author = "Pavitra Krishnaswamy and Gabriel Obregon-Henao and Jyrki Ahveninen and Sheraz Khan and Behtash Babadi and Iglesias, {Juan Eugenio} and H{\"a}m{\"a}l{\"a}inen, {Matti S.} and Purdon, {Patrick L.}",
year = "2017",
month = "11",
day = "28",
doi = "10.1073/pnas.1705414114",
language = "English",
volume = "114",
pages = "E10465--E10474",
journal = "Proceedings of the National Academy of Sciences",
issn = "0027-8424",
number = "48",

}

RIS - Download

TY - JOUR

T1 - Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG

AU - Krishnaswamy, Pavitra

AU - Obregon-Henao, Gabriel

AU - Ahveninen, Jyrki

AU - Khan, Sheraz

AU - Babadi, Behtash

AU - Iglesias, Juan Eugenio

AU - Hämäläinen, Matti S.

AU - Purdon, Patrick L.

PY - 2017/11/28

Y1 - 2017/11/28

N2 - Subcortical structures play a critical role in brain function. However, options for assessing electrophysiological activity in these structures are limited. Electromagnetic fields generated by neuronal activity in subcortical structures can be recorded noninvasively, using magnetoencephalography (MEG) and electroencephalography (EEG). However, these subcortical signals are much weaker than those generated by cortical activity. In addition, we show here that it is difficult to resolve subcortical sources because distributed cortical activity can explain the MEG and EEG patterns generated by deep sources. We then demonstrate that if the cortical activity is spatially sparse, both cortical and subcortical sources can be resolved with M/EEG. Building on this insight, we develop a hierarchical sparse inverse solution for M/EEG. We assess the performance of this algorithm on realistic simulations and auditory evoked response data, and show that thalamic and brainstem sources can be correctly estimated in the presence of cortical activity. Our work provides alternative perspectives and tools for characterizing electrophysiological activity in subcortical structures in the human brain.

AB - Subcortical structures play a critical role in brain function. However, options for assessing electrophysiological activity in these structures are limited. Electromagnetic fields generated by neuronal activity in subcortical structures can be recorded noninvasively, using magnetoencephalography (MEG) and electroencephalography (EEG). However, these subcortical signals are much weaker than those generated by cortical activity. In addition, we show here that it is difficult to resolve subcortical sources because distributed cortical activity can explain the MEG and EEG patterns generated by deep sources. We then demonstrate that if the cortical activity is spatially sparse, both cortical and subcortical sources can be resolved with M/EEG. Building on this insight, we develop a hierarchical sparse inverse solution for M/EEG. We assess the performance of this algorithm on realistic simulations and auditory evoked response data, and show that thalamic and brainstem sources can be correctly estimated in the presence of cortical activity. Our work provides alternative perspectives and tools for characterizing electrophysiological activity in subcortical structures in the human brain.

KW - EEG

KW - MEG

KW - Source localization

KW - Sparsity

KW - Subcortical structures

UR - http://www.scopus.com/inward/record.url?scp=85035223963&partnerID=8YFLogxK

U2 - 10.1073/pnas.1705414114

DO - 10.1073/pnas.1705414114

M3 - Article

VL - 114

SP - E10465-E10474

JO - Proceedings of the National Academy of Sciences

JF - Proceedings of the National Academy of Sciences

SN - 0027-8424

IS - 48

ER -

ID: 16605081