Relations between structural and EEG‐based graph metrics in healthy controls and schizophrenia patients

Gómez‐Pilar, Javier; Luis‐García, Rodrigo de; Lubeiro, Alba; Red, Henar de la; Poza, Jesús; Núñez, Pablo; Hornero, Roberto; Molina, Vicente

doi:10.1002/hbm.24066

Cited by 31 publications

(24 citation statements)

References 64 publications

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“…9 This possibility is supported by the associations reported between structural connectivity values and modulation of the EEG network in schizophrenia. 10 Nevertheless, because functional connectivity exists between regions without direct anatomic connection, 11 the possibility that EEG modulation with cognition is unrelated to alterations in structural connectivity cannot be discarded.…”

Section: Introductionmentioning

confidence: 99%

“…Our hypotheses were that in the present sample, (i) spectral entropy modulation would be decreased in patients with schizophrenia compared to patients with bipolar disorder and healthy controls, because decreases in spectral entropy modulation have been found in patients with chronic and first-episode schizophrenia, 7 as well as in patients with schizophrenia who have received only minimal treatment 6 ; (ii) deficits in spectral entropy modulation would be unrelated to antipsychotic therapy or other types of treatment, because we showed in a smaller sample that current antipsychotic doses were unrelated to spectral entropy modulation 7 and that a single dose of haloperidol did not change significantly spectral entropy modulation in healthy volunteers 6 ; and (iii) spectral entropy modulation would be associated with structural connectivity architecture, given our previous finding of an association between the graph parameters of DTI-based structural networks and modulation of the graph parameters of the functional EEG network. 10…”

Section: Introductionmentioning

confidence: 99%

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Deficits of entropy modulation of the EEG: A biomarker for altered function in schizophrenia and bipolar disorder?

Molina

Lubeiro

Luis‐García

et al. 2020

jpn

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Background:The synchronized activity of distributed neural assemblies -reflected in the electroencephalogram (EEG) -underpins mental function. In schizophrenia, modulation deficits of EEG spectral content during a P300 task have been replicated. The effects of treatment, chronicity and specificity in these deficits and their possible relationship with anatomic connectivity remain to be explored. Methods: We assessed spectral entropy modulation of the EEG during a P300 task in 79 patients with schizophrenia (of those, 31 were in their first episode), 29 patients with bipolar disorder and 48 healthy controls. Spectral entropy values summarize EEG characteristics by quantifying the irregularity of spectral content. In a subsample, we calculated the network architecture of structural connectivity using diffusion tensor imaging and graph-theory parameters. Results: We found significant spectral entropy modulation deficits with task performance in patients with chronic or first-episode schizophrenia and in patients with bipolar disorder, without significant pre-stimulus spectral entropy differences. The deficits were unrelated to treatment doses, and spectral entropy modulation did not differ between patients taking or not taking antipsychotics, lithium, benzodiazepines or antidepressants. Structural connectivity values were unrelated to spectral entropy modulation. In patients with schizophrenia, spectral entropy modulation was inversely related to negative symptoms and directly related to verbal memory. Limitations: All patients were taking medication. Patients with bipolar disorder were euthymic and chronic. The cross-sectional nature of this study prevented a more thorough analysis of state versus trait criteria for spectral entropy changes. Conclusion: Spectral entropy modulation with task performance is decreased in patients with schizophrenia and bipolar disorder. This deficit was not an effect of psychopharmacological treatment or structural connectivity and might reflect a deficit in the synchron ization of the neural assemblies that underlie cognitive activity.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deficits of entropy modulation of the EEG: A biomarker for altered function in schizophrenia and bipolar disorder?

Molina

Lubeiro

Luis‐García

et al. 2020

jpn

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“…A plausible hypothesis for explaining the heterogeneity of the selected models could be the extended concept that schizophrenia is a complex and heterogeneous disorder with distinguishable genotypes (Sheffield and Barch, 2016) and network abnormalities (Gomez-Pilar et al, 2018a), which can influence the cognitive traits. Schizophrenia heterogeneity should not be related to the symptoms, but to underlying neural mechanisms, which are maybe phase-related.…”

Section: Reinforcement Of the Secondary Pathways As A Predominant Modelmentioning

confidence: 99%

Altered predictive capability of the brain network EEG model in schizophrenia during cognition

Gómez‐Pilar

Poza

Gómez

et al. 2018

Schizophrenia Research

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The study of the mechanisms involved in cognition is of paramount importance for the understanding of the neurobiological substrates in psychiatric disorders. Hence, this research is aimed at exploring the brain network dynamics during a cognitive task. Specifically, we analyze the predictive capability of the pre-stimulus theta activity to ascertain the functional brain dynamics during cognition in both healthy and schizophrenia subjects. Firstly, EEG recordings were acquired during a three-tone oddball task from fifty-one healthy subjects and thirty-five schizophrenia patients. Secondly, phase-based coupling measures were used to generate the time-varying functional network for each subject. Finally, pre-stimulus network connections were iteratively modified according to different models of network reorganization. This adjustment was applied by minimizing the prediction error through recurrent iterations, following the predictive coding approach. Both controls and schizophrenia patients follow a reinforcement of the secondary neural pathways (i.e., pathways between cortical brain regions weakly connected during pre-stimulus) for most of the subjects, though the ratio of controls that exhibited this behavior was statistically significant higher than for patients. These findings suggest that schizophrenia is associated with an impaired ability to modify brain network configuration during cognition. Furthermore, we provide direct evidence that the changes in phase-based brain network parameters from pre-stimulus to cognitive response in the theta band are closely related to the performance in important cognitive domains. Our findings not only contribute to the understanding of healthy brain dynamics, but also shed light on the altered predictive neuronal substrates in schizophrenia.

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“…We We cannot know whether the higher cortical curvature and the potassium risk-allele carriers subgroups overlap. We might tentatively hypothesize that they are different subgroups considering other work from our team 120 (not included in this thesis), in which we showed that functional and structural connectivity abnormalities did nor co-occur in the same patients. Indeed, functional connectivity has been previously observed between areas not structurally connected 283,428 .…”

Section: Discussionmentioning

confidence: 70%

“…The structural connectome of patients with schizophrenia, in terms of graph theory, has been studied with different results. Structural connectivity has been described as less integrated, more segregated, with increased modularity and decreased global efficiency (usually measured using SW parameters) 96,[118][119][120] . Moreover, rich-club nodes (key nodes for information transmission, highly connected between them and with the rest of the graph) organization and their connections seemed to be especially impaired in this syndrome 121 , likely affecting brain global communication 122 .…”

Section: Structural and Functional Dysconnectivitymentioning

confidence: 99%

Biologically relevant subgroups within the schizophrenia syndrome

Juárez¹

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To my friends Tita and Kuba. I feel fortunate to have met you. I will never forget the three great months we were together in Wroclaw. We must keep in touch despite the distance between our homes. A mis amigos Pucelanos, en primer lugar a Clara, compañera de camino desde hace muchos años, sin tu ejemplo y ayuda quizá no habría llegado aquí. Ahora las dos lo hemos conseguido, ¡somos doctoras!. En segundo lugar a Nati, María, David y Sara. Gracias por estar, por las cenas, los bailes, las risas y, en general, los buenos momentos. Qué suerte tengo de teneros cerca. Por último, a Christopher, por su ayuda con las correcciones del inglés. A mis amigos Leoneses "Los Jetas", con los que recorrí las primeras etapas de mi formación universitaria. Porque nuestras pequeñas y grandes escapadas me han dado fuerzas para realizar esta tesis y lo mejor, permiten que sigamos unidos. A mi padre y abuelos, por darme los recursos y el apoyo para poder estudiar. A mi familia no de sangre, pero sí de corazón, por orden de llegada a mi vida: Celia, Santi, Laura, Samuel, Inés y Manolo. Algunos formáis parte de estos artículos como "conejillos de indias". Gracias por vuestro apoyo, por estar a mi lado siempre y porque la vida es mejor teniéndoos cerca. A Julio, porque tú haces que la vida se me vuelva de colores. Esto es un logro compartido, de ambos. A mi madre, por enseñarme a vivir, a ser valiente, a luchar, a levantarme en cada tropiezo. Por transmitirme el amor de la cultura y la educación. Esta tesis es por y para ti. A los controles y pacientes que dieron su tiempo para formar parte de este proyecto. Y en general, a todos los pacientes que sufren o han sufrido enfermedades mentales y a sus familiares. Este es mi pequeño granito de arena.

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Relations between structural and EEG‐based graph metrics in healthy controls and schizophrenia patients

Cited by 31 publications

References 64 publications

Deficits of entropy modulation of the EEG: A biomarker for altered function in schizophrenia and bipolar disorder?

Deficits of entropy modulation of the EEG: A biomarker for altered function in schizophrenia and bipolar disorder?

Altered predictive capability of the brain network EEG model in schizophrenia during cognition

Biologically relevant subgroups within the schizophrenia syndrome

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