EEG Signal Complexity Is Reduced During Resting-State in Fragile X Syndrome
Introduction: Fragile X syndrome (FXS) is a genetic disorder caused by a mutation of the fragile X mental retardation 1 gene (FMR1). FXS is associated with neurophysiological abnormalities, including cortical hyperexcitability. Alterations in electroencephalogram (EEG) resting-state power spectral d...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:d93ca7bdf2524fd8a1e7d8324ddc46512021-11-11T09:27:43ZEEG Signal Complexity Is Reduced During Resting-State in Fragile X Syndrome1664-064010.3389/fpsyt.2021.716707https://doaj.org/article/d93ca7bdf2524fd8a1e7d8324ddc46512021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyt.2021.716707/fullhttps://doaj.org/toc/1664-0640Introduction: Fragile X syndrome (FXS) is a genetic disorder caused by a mutation of the fragile X mental retardation 1 gene (FMR1). FXS is associated with neurophysiological abnormalities, including cortical hyperexcitability. Alterations in electroencephalogram (EEG) resting-state power spectral density (PSD) are well-defined in FXS and were found to be linked to neurodevelopmental delays. Whether non-linear dynamics of the brain signal are also altered remains to be studied.Methods: In this study, resting-state EEG power, including alpha peak frequency (APF) and theta/beta ratio (TBR), as well as signal complexity using multi-scale entropy (MSE) were compared between 26 FXS participants (ages 5–28 years), and 7 neurotypical (NT) controls with a similar age distribution. Subsequently a replication study was carried out, comparing our cohort to 19 FXS participants independently recorded at a different site.Results: PSD results confirmed the increased gamma, decreased alpha power and APF in FXS participants compared to NT controls. No alterations in TBR were found. Importantly, results revealed reduced signal complexity in FXS participants, specifically in higher scales, suggesting that altered signal complexity is sensitive to brain alterations in this population. The replication study mostly confirmed these results and suggested critical points of stagnation in the neurodevelopmental curve of FXS.Conclusion: Signal complexity is a powerful feature that can be added to the electrophysiological biomarkers of brain maturation in FXS.Mélodie Proteau-LemieuxMélodie Proteau-LemieuxInga Sophia KnothKristian AgbogbaValérie CôtéHazel Maridith Barlahan BiagAngela John ThurmanCharles-Olivier MartinAnne-Marie BélangerCory RosenfeltFlora TassoneFlora TassoneLeonard J. AbbedutoLeonard J. AbbedutoSébastien JacquemontSébastien JacquemontRandi HagermanFrançois BolducDavid HesslDavid HesslAndrea SchneiderAndrea SchneiderSarah LippéSarah LippéFrontiers Media S.A.articlefragile X syndromehyperexcitabilityEEG resting-statesignal complexitymultiscale entropyalpha peak frequencyPsychiatryRC435-571ENFrontiers in Psychiatry, Vol 12 (2021) |
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EN |
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fragile X syndrome hyperexcitability EEG resting-state signal complexity multiscale entropy alpha peak frequency Psychiatry RC435-571 |
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fragile X syndrome hyperexcitability EEG resting-state signal complexity multiscale entropy alpha peak frequency Psychiatry RC435-571 Mélodie Proteau-Lemieux Mélodie Proteau-Lemieux Inga Sophia Knoth Kristian Agbogba Valérie Côté Hazel Maridith Barlahan Biag Angela John Thurman Charles-Olivier Martin Anne-Marie Bélanger Cory Rosenfelt Flora Tassone Flora Tassone Leonard J. Abbeduto Leonard J. Abbeduto Sébastien Jacquemont Sébastien Jacquemont Randi Hagerman François Bolduc David Hessl David Hessl Andrea Schneider Andrea Schneider Sarah Lippé Sarah Lippé EEG Signal Complexity Is Reduced During Resting-State in Fragile X Syndrome |
| description |
Introduction: Fragile X syndrome (FXS) is a genetic disorder caused by a mutation of the fragile X mental retardation 1 gene (FMR1). FXS is associated with neurophysiological abnormalities, including cortical hyperexcitability. Alterations in electroencephalogram (EEG) resting-state power spectral density (PSD) are well-defined in FXS and were found to be linked to neurodevelopmental delays. Whether non-linear dynamics of the brain signal are also altered remains to be studied.Methods: In this study, resting-state EEG power, including alpha peak frequency (APF) and theta/beta ratio (TBR), as well as signal complexity using multi-scale entropy (MSE) were compared between 26 FXS participants (ages 5–28 years), and 7 neurotypical (NT) controls with a similar age distribution. Subsequently a replication study was carried out, comparing our cohort to 19 FXS participants independently recorded at a different site.Results: PSD results confirmed the increased gamma, decreased alpha power and APF in FXS participants compared to NT controls. No alterations in TBR were found. Importantly, results revealed reduced signal complexity in FXS participants, specifically in higher scales, suggesting that altered signal complexity is sensitive to brain alterations in this population. The replication study mostly confirmed these results and suggested critical points of stagnation in the neurodevelopmental curve of FXS.Conclusion: Signal complexity is a powerful feature that can be added to the electrophysiological biomarkers of brain maturation in FXS. |
| format |
article |
| author |
Mélodie Proteau-Lemieux Mélodie Proteau-Lemieux Inga Sophia Knoth Kristian Agbogba Valérie Côté Hazel Maridith Barlahan Biag Angela John Thurman Charles-Olivier Martin Anne-Marie Bélanger Cory Rosenfelt Flora Tassone Flora Tassone Leonard J. Abbeduto Leonard J. Abbeduto Sébastien Jacquemont Sébastien Jacquemont Randi Hagerman François Bolduc David Hessl David Hessl Andrea Schneider Andrea Schneider Sarah Lippé Sarah Lippé |
| author_facet |
Mélodie Proteau-Lemieux Mélodie Proteau-Lemieux Inga Sophia Knoth Kristian Agbogba Valérie Côté Hazel Maridith Barlahan Biag Angela John Thurman Charles-Olivier Martin Anne-Marie Bélanger Cory Rosenfelt Flora Tassone Flora Tassone Leonard J. Abbeduto Leonard J. Abbeduto Sébastien Jacquemont Sébastien Jacquemont Randi Hagerman François Bolduc David Hessl David Hessl Andrea Schneider Andrea Schneider Sarah Lippé Sarah Lippé |
| author_sort |
Mélodie Proteau-Lemieux |
| title |
EEG Signal Complexity Is Reduced During Resting-State in Fragile X Syndrome |
| title_short |
EEG Signal Complexity Is Reduced During Resting-State in Fragile X Syndrome |
| title_full |
EEG Signal Complexity Is Reduced During Resting-State in Fragile X Syndrome |
| title_fullStr |
EEG Signal Complexity Is Reduced During Resting-State in Fragile X Syndrome |
| title_full_unstemmed |
EEG Signal Complexity Is Reduced During Resting-State in Fragile X Syndrome |
| title_sort |
eeg signal complexity is reduced during resting-state in fragile x syndrome |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/d93ca7bdf2524fd8a1e7d8324ddc4651 |
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