Functional EEG network analysis in schizophrenia: Evidence of larger segregation and deficit of modulation

Gómez‐Pilar, Javier; Lubeiro, Alba; Poza, Jesús; Hornero, Roberto; Ayuso, Marta; Valcárcel, César; Haidar, Karim; Garrote, J.A. Blanco; Molina, Vicente

doi:10.1016/j.pnpbp.2017.03.004

Cited by 39 publications

(40 citation statements)

References 52 publications

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“…The population here included overlaps in part with that of previous reports of our group in schizophrenia on functional networks based on evoked response (Gomez‐Pilar et al, ), graph complexity (Gomez‐Pilar et al, ) and structural connectivity of specific tracts of the prefrontal region (Molina et al, )…”

Section: Methodsmentioning

confidence: 99%

“…EEG recordings were obtained following MRI scans, after a resting period of 30 min. Participants performed a 13 min three‐tone P300 oddball task (for a detailed description see (Gomez‐Pilar et al, ). Electrode impedance was always kept under 5 kΩ.…”

Section: Methodsmentioning

confidence: 99%

“…The P300 task has several advantages for assessing functional network modulation in schizophrenia. In addition to its widespread previous use in the field: (a) it is easy to perform, thus decreasing bias related to lack of subject's cooperation; (b) its performance activates a large cerebral network (Bledowski et al, ; Linden et al, ); and (c) differences in EEG global activation patterns have been reported in schizophrenia using this paradigm (Gomez‐Pilar et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…With regard to the EEG functional network, parameters were computed into two frequency ranges. They were selected based on their relevance for the task‐related modulation of the EEG during P300 tasks shown in schizophrenia in previous studies: the global band (from 1 to 70 Hz) (Gomez‐Pilar et al, ) and the theta band (from 4 to 8 Hz) (Bachiller et al, ; Doege et al, ). A diminished task‐related modulation of theta activity during an oddball task was found in schizophrenia, but not in faster frequency bands (Bachiller et al, ).…”

Section: Methodsmentioning

confidence: 99%

“…However, considering the rapid and transient change of functional integration of diverse cerebral regions in cognition in humans (Varela et al, ) and animals (Bressler, Coppola, & Nakamura, ), assessing fast change of cerebral networks in schizophrenia holds a great interest. Techniques with high temporal resolution are useful to this purpose: change of network properties using electroencephalographic (EEG) during a cognitive task was significantly decreased in schizophrenia patients (Gomez‐Pilar et al, ). Using relative power analyses, we also reported lower EEG task‐related change in theta but not in faster bands during an odd‐ball task in schizophrenia (Bachiller et al, ).…”

Section: Introductionmentioning

confidence: 99%

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

Gómez‐Pilar

Luis‐García

Lubeiro

et al. 2018

Human Brain Mapping

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Our aim was to assess structural and functional networks in schizophrenia patients; and the possible prediction of the latter based on the former. The possible dependence of functional network properties on structural alterations has not been analyzed in schizophrenia. We applied averaged path-length (PL), clustering coefficient, and density (D) measurements to data from diffusion magnetic resonance and electroencephalography in 39 schizophrenia patients and 79 controls. Functional data were collected for the global and theta frequency bands during an odd-ball task, prior to stimulus delivery and at the corresponding processing window. Connectivity matrices were constructed from tractography and registered cortical segmentations (structural) and phase-locking values (functional). Both groups showed a significant electroencephalographic task-related modulation (change between prestimulus and response windows) in the global and theta bands. Patients showed larger structural PL and prestimulus density in the global and theta bands, and lower PL task-related modulation in the theta band. Structural network values predicted prestimulus global band values in controls and global band task-related modulation in patients. Abnormal functional values found in patients (prestimulus density in the global and theta bands and task-related modulation in the theta band) were not predicted by structural data in this group. Structural and functional network abnormalities respectively predicted cognitive performance and positive symptoms in patients. Taken together, the alterations in the structural and functional theta networks in the patients and the lack of significant relations between these alterations, suggest that these types of network abnormalities exist in different groups of schizophrenia patients.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

Gómez‐Pilar

Luis‐García

Lubeiro

et al. 2018

Human Brain Mapping

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Common vs. Distinct Visuomotor Control Deficits in Autism Spectrum Disorder and Schizophrenia

et al. 2020

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Autism spectrum disorder (ASD) and schizophrenia (SCZ) are neurodevelopmental disorders with partly overlapping clinical phenotypes including sensorimotor impairments. However, direct comparative studies on sensorimotor control across these two disorders are lacking. We set out to compare visuomotor upper limb impairment, quantitatively, in ASD and SCZ. Patients with ASD (N = 24) were compared to previously published data from healthy control participants (N = 24) and patients with SCZ (N = 24). All participants performed a visuomotor grip force‐tracking task in single and dual‐task conditions. The dual‐task (high cognitive load) presented either visual distractors or required mental addition during grip force‐tracking. Motor inhibition was measured by duration of force release and from principal component analysis (PCA) of the participant's force‐trajectory. Common impairments in patients with ASD and SCZ included increased force‐tracking error in single‐task condition compared to controls, a further increase in error in dual‐task conditions, and prolonged duration of force release. These three sensorimotor impairments were found in both patient groups. In contrast, distinct impairments in patients with ASD included greater error under high cognitive load and delayed onset of force release compared to SCZ. The PCA inhibition component was higher in ASD than SCZ and controls, correlated to duration of force release, and explained group differences in tracking error. In conclusion, sensorimotor impairments related to motor inhibition are common to ASD and SCZ, but more severe in ASD, consistent with enhanced neurodevelopmental load in ASD. Furthermore, impaired motor anticipation may represent a further specific impairment in ASD. Autism Res 2020, 13: 885‐896. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. Lay summary Autism spectrum disorder (ASD) and schizophrenia (SCZ) are neurodevelopmental disorders with partly overlapping and partly distinct clinical symptoms. Sensorimotor impairments rank among these symptoms, but it is less clear whether they are shared or distinct. In this study, we showed using a grip force task that sensorimotor impairments related to motor inhibition are common to ASD and SCZ, but more severe in ASD. Impaired motor anticipation may represent a further specific impairment in ASD.

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Search for schizophrenia and bipolar biotypes using functional network properties

Fernández-Linsenbarth

Planchuelo‐Gómez

Beño-Ruiz-de-la-Sierra

et al. 2021

Brain and Behavior

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Introduction:Recent studies support the identification of valid subtypes within schizophrenia and bipolar disorder using cluster analysis. Our aim was to identify meaningful biotypes of psychosis based on network properties of the electroencephalogram. We hypothesized that these parameters would be more altered in a subgroup of patients also characterized by more severe deficits in other clinical, cognitive, and biological measurements. Methods: A clustering analysis was performed using the electroencephalogram-based network parameters derived from graph-theory obtained during a P300 task of 137 schizophrenia (of them, 35 first episodes) and 46 bipolar patients. Both prestimulus and modulation of the electroencephalogram were included in the analysis. Demographic, clinical, cognitive, structural cerebral data, and the modulation of the spectral entropy of the electroencephalogram were compared between clusters. Data from 158 healthy controls were included for further comparisons. Results:We identified two clusters of patients. One cluster presented higher prestimulus connectivity strength, clustering coefficient, path-length, and lower small-worldThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Functional EEG network analysis in schizophrenia: Evidence of larger segregation and deficit of modulation

Abstract: Our results are coherent with a hyper-segregated network at baseline (higher CLC) and a decreased modulation of the functional connectivity during cognition in schizophrenia.

Cited by 39 publications

References 52 publications

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

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

Common vs. Distinct Visuomotor Control Deficits in Autism Spectrum Disorder and Schizophrenia

Search for schizophrenia and bipolar biotypes using functional network properties

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