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Altered physiological brain variation in drug‐resistant epilepsy

INTRODUCTION: Functional magnetic resonance imaging (fMRI) combined with simultaneous electroencephalography (EEG‐fMRI) has become a major tool in mapping epilepsy sources. In the absence of detectable epileptiform activity, the resting state fMRI may still detect changes in the blood oxygen level‐d...

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Autores principales: Kananen, Janne, Tuovinen, Timo, Ansakorpi, Hanna, Rytky, Seppo, Helakari, Heta, Huotari, Niko, Raitamaa, Lauri, Raatikainen, Ville, Rasila, Aleksi, Borchardt, Viola, Korhonen, Vesa, LeVan, Pierre, Nedergaard, Maiken, Kiviniemi, Vesa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160661/
https://www.ncbi.nlm.nih.gov/pubmed/30112813
http://dx.doi.org/10.1002/brb3.1090
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author Kananen, Janne
Tuovinen, Timo
Ansakorpi, Hanna
Rytky, Seppo
Helakari, Heta
Huotari, Niko
Raitamaa, Lauri
Raatikainen, Ville
Rasila, Aleksi
Borchardt, Viola
Korhonen, Vesa
LeVan, Pierre
Nedergaard, Maiken
Kiviniemi, Vesa
author_facet Kananen, Janne
Tuovinen, Timo
Ansakorpi, Hanna
Rytky, Seppo
Helakari, Heta
Huotari, Niko
Raitamaa, Lauri
Raatikainen, Ville
Rasila, Aleksi
Borchardt, Viola
Korhonen, Vesa
LeVan, Pierre
Nedergaard, Maiken
Kiviniemi, Vesa
author_sort Kananen, Janne
collection PubMed
description INTRODUCTION: Functional magnetic resonance imaging (fMRI) combined with simultaneous electroencephalography (EEG‐fMRI) has become a major tool in mapping epilepsy sources. In the absence of detectable epileptiform activity, the resting state fMRI may still detect changes in the blood oxygen level‐dependent signal, suggesting intrinsic alterations in the underlying brain physiology. METHODS: In this study, we used coefficient of variation (CV) of critically sampled 10 Hz ultra‐fast fMRI (magnetoencephalography, MREG) signal to compare physiological variance between healthy controls (n = 10) and patients (n = 10) with drug‐resistant epilepsy (DRE). RESULTS: We showed highly significant voxel‐level (p < 0.01, TFCE‐corrected) increase in the physiological variance in DRE patients. At individual level, the elevations range over three standard deviations (σ) above the control mean (μ) CV(MREG) values solely in DRE patients, enabling patient‐specific mapping of elevated physiological variance. The most apparent differences in group‐level analysis are found on white matter, brainstem, and cerebellum. Respiratory (0.12–0.4 Hz) and very‐low‐frequency (VLF = 0.009–0.1 Hz) signal variances were most affected. CONCLUSIONS: The CV(MREG) increase was not explained by head motion or physiological cardiorespiratory activity, that is, it seems to be linked to intrinsic physiological pulsations. We suggest that intrinsic brain pulsations play a role in DRE and that critically sampled fMRI may provide a powerful tool for their identification.
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spelling pubmed-61606612018-10-01 Altered physiological brain variation in drug‐resistant epilepsy Kananen, Janne Tuovinen, Timo Ansakorpi, Hanna Rytky, Seppo Helakari, Heta Huotari, Niko Raitamaa, Lauri Raatikainen, Ville Rasila, Aleksi Borchardt, Viola Korhonen, Vesa LeVan, Pierre Nedergaard, Maiken Kiviniemi, Vesa Brain Behav Original Research INTRODUCTION: Functional magnetic resonance imaging (fMRI) combined with simultaneous electroencephalography (EEG‐fMRI) has become a major tool in mapping epilepsy sources. In the absence of detectable epileptiform activity, the resting state fMRI may still detect changes in the blood oxygen level‐dependent signal, suggesting intrinsic alterations in the underlying brain physiology. METHODS: In this study, we used coefficient of variation (CV) of critically sampled 10 Hz ultra‐fast fMRI (magnetoencephalography, MREG) signal to compare physiological variance between healthy controls (n = 10) and patients (n = 10) with drug‐resistant epilepsy (DRE). RESULTS: We showed highly significant voxel‐level (p < 0.01, TFCE‐corrected) increase in the physiological variance in DRE patients. At individual level, the elevations range over three standard deviations (σ) above the control mean (μ) CV(MREG) values solely in DRE patients, enabling patient‐specific mapping of elevated physiological variance. The most apparent differences in group‐level analysis are found on white matter, brainstem, and cerebellum. Respiratory (0.12–0.4 Hz) and very‐low‐frequency (VLF = 0.009–0.1 Hz) signal variances were most affected. CONCLUSIONS: The CV(MREG) increase was not explained by head motion or physiological cardiorespiratory activity, that is, it seems to be linked to intrinsic physiological pulsations. We suggest that intrinsic brain pulsations play a role in DRE and that critically sampled fMRI may provide a powerful tool for their identification. John Wiley and Sons Inc. 2018-08-15 /pmc/articles/PMC6160661/ /pubmed/30112813 http://dx.doi.org/10.1002/brb3.1090 Text en © 2018 The Authors. Brain and Behavior published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Kananen, Janne
Tuovinen, Timo
Ansakorpi, Hanna
Rytky, Seppo
Helakari, Heta
Huotari, Niko
Raitamaa, Lauri
Raatikainen, Ville
Rasila, Aleksi
Borchardt, Viola
Korhonen, Vesa
LeVan, Pierre
Nedergaard, Maiken
Kiviniemi, Vesa
Altered physiological brain variation in drug‐resistant epilepsy
title Altered physiological brain variation in drug‐resistant epilepsy
title_full Altered physiological brain variation in drug‐resistant epilepsy
title_fullStr Altered physiological brain variation in drug‐resistant epilepsy
title_full_unstemmed Altered physiological brain variation in drug‐resistant epilepsy
title_short Altered physiological brain variation in drug‐resistant epilepsy
title_sort altered physiological brain variation in drug‐resistant epilepsy
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160661/
https://www.ncbi.nlm.nih.gov/pubmed/30112813
http://dx.doi.org/10.1002/brb3.1090
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