Different Resting State EEG Features in Children from Switzerland and Saudi Arabia

Alahmadi, Nsreen; Evdokimov, S. A.; Kropotov, Yury Juri; Müller, Andreas; Jäncke, Lutz

doi:10.3389/fnhum.2016.00559

Cited by 17 publications

(10 citation statements)

References 93 publications

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“…It remains unclear whether their cultural background had an influence on cortical oscillations. In a previous study, we found some differences between Saudi Arabian and Swiss children [25]. In this respect, we must exercise caution when generalizing our results to children with LD from different cultures.…”

Section: Limitations Of This Studymentioning

confidence: 57%

“…The ground electrode was placed on the forehead, with all electrode impedances maintained below 5 kΩ.F o r artifact correction and preprocessing, WinEEG software (http:// www.mitsar-medical.com/eeg-software/qeeg-software/download.html) was used. We used the same artifact-correction strategy as that used in a previous paper of our group [25], which we, therefore, describe only briefly. Known artifacts (eye movements and typical EMG artifacts) were corrected by zeroing the activation curves of individual independent component analysis [26].…”

Section: Participantsmentioning

confidence: 99%

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Resting-state electroencephalogram in learning-disabled children

Jäncke

Saka

Badawood³

et al. 2019

NeuroReport

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The neurophysiological underpinnings of learning disabilities remain unknown. In this clinical study, we recorded electroencephalograms for a large sample of children with learning disabilities (LD) and healthy control children (n=216) during resting states in which the eyes were either open or closed. We calculated the power and lagged phase coherence in six main frequency bands (delta, theta, lower and upper alpha, and lower and upper beta) to re-evaluate the question of whether children with LD show frontal theta power increases and posterior alpha band decreases on the basis of patterns of electroencephalogram oscillation, which could then be considered as evidence for the so-called 'maturational delay hypothesis.' We identified a general (not restricted to frontal electrodes) power increase in the theta band and no accompanying concomitant alpha band decrease at the posterior electrode position. In addition, we observed increased beta band power at frontal electrodes for LD children. With respect to lagged phase coherence, which is a coherence measure not influenced by volume conduction, we identified decreased coherence for children with LD in the upper alpha band during the eyes closed condition. We interpret this LD-specific resting-state activation pattern as indicating a suboptimally functioning neural resting-state network that provides a detrimental 'starting point' for task-specific brain activations. Nsreen (2019). Resting-state electroencephalogram in learning-disabled children: power and connectivity analyses. NeuroReport, 30(2):95-101.The neurophysiological underpinnings of learning disabilities remain unknown. In this clinical study, we recorded electroencephalograms for a large sample of children with learning disabilities (LD) and healthy control children (n = 216) during resting states in which the eyes were either open or closed. We calculated the power and lagged phase coherence in six main frequency bands (delta, theta, lower and upper alpha, and lower and upper beta) to re-evaluate the question of whether children with LD show frontal theta power increases and posterior alpha band decreases on the basis of patterns of electroencephalogram oscillation, which could then be considered as evidence for the so-called 'maturational delay hypothesis. ' We identified a general (not restricted to frontal electrodes) power increase in the theta band and no accompanying concomitant alpha band decrease at the posterior electrode position. In addition, we observed increased beta band power at frontal electrodes for LD children. With respect to lagged phase coherence, which is a coherence measure not influenced by volume conduction, we identified decreased coherence for children with LD in the upper alpha band during the eyes closed condition. We interpret this LD-specific resting-state activation pattern as indicating a suboptimally functioning neural resting-state network that provides a detrimental 'starting point' for taskspecific brain activations. NeuroReport 00:000-000

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Section: Limitations Of This Studymentioning

confidence: 57%

Section: Participantsmentioning

confidence: 99%

Resting-state electroencephalogram in learning-disabled children

Jäncke

Saka

Badawood³

et al. 2019

NeuroReport

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“…Functional dynamic connectivity of cortical regions with high temporal resolution can be calculated by LORETA . Although the number of EEG electrodes has a relationship to the precision of source estimation, a number of previous studies indicate that a reliable LORETA estimation can be achieved with only 19 channels (e.g., Thatcher et al, 2014 ; Aoki et al, 2015 ; Emory et al, 2015 ; Alahmadi et al, 2016 ; Clemens et al, 2016 ; Hata et al, 2016 ; Mohan et al, 2016b ; Mumtaz et al, 2017 ). Time-resolved activity in all Brodmann areas excepting areas 12, 14, 15, 16, and 26 (localization of these regions is not implemented in the LORETA software) was estimated and the lagged coherences between 84 ROIs (42 Brodmann areas in the left hemisphere and 42 Brodmann areas in the right side) were computed for four frequency bands [theta (4–8 Hz), alpha (8–12 Hz), beta1 (12–20 Hz), and beta2 (20–30 Hz)].…”

Section: Methodsmentioning

confidence: 99%

Evidence for a Resting State Network Abnormality in Adults Who Stutter

Ghaderi

Andevari

Sowman

2018

Front. Integr. Neurosci.

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Neural network-based investigations of stuttering have begun to provide a possible integrative account for the large number of brain-based anomalies associated with stuttering. Here we used resting-state EEG to investigate functional brain networks in adults who stutter (AWS). Participants were 19 AWS and 52 age-, and gender-matched normally fluent speakers. EEGs were recorded and connectivity matrices were generated by LORETA in the theta (4–8 Hz), alpha (8–12 Hz), beta1 (12–20 Hz), and beta2 (20–30 Hz) bands. Small-world propensity (SWP), shortest path, and clustering coefficients were computed for weighted graphs. Minimum spanning tree analysis was also performed and measures were compared by non-parametric permutation test. The results show that small-world topology was evident in the functional networks of all participants. Three graph indices (diameter, clustering coefficient, and shortest path) exhibited significant differences between groups in the theta band and one [maximum betweenness centrality (BC)] measure was significantly different between groups in the beta2 band. AWS show higher BC than control in right temporal and inferior frontal areas and lower BC in the right primary motor cortex. Abnormal functional networks during rest state suggest an anomaly of DMN activity in AWS. Furthermore, functional segregation/integration deficits in the theta network are evident in AWS. These deficits reinforce the hypothesis that there is a neural basis for abnormal executive function in AWS. Increased beta2 BC in the right speech–motor related areas confirms previous evidence that right audio–speech areas are over-activated in AWS. Decreased beta2 BC in the right primary motor cortex is discussed in relation to abnormal neural mechanisms associated with time perception in AWS.

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“…Some studies have shown that alpha, theta and beta oscillations are associated with the sex of the Subject for certain tasks [4], [5]. In the work presented in [6], is it exposed that according to the culture, and the age of the population, the brain signals may differ. The experiments performed during resting-state show that children from Switzerland demonstrated stronger power in the Delta-band at Fz electrode, instead of the stronger Alpha-band activity of Saudi Arabian children.…”

Section: Discussionmentioning

confidence: 99%

Sex differences observed in a study of EEG of linguistic activity and resting-state: Exploring optimal EEG channel configurations

Moctezuma

Molinas

2019

2019 7th International Winter Conference on Brain-Computer Interface (BCI)

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This study reports the differences observed in the EEG signals of linguistic activity and resting-state between male and female subjects in a population of 16 individuals (8 females and 8 males). These differences were spotted while performing two experiments: sex identification and subject identification, where the initial aim was to identify the optimal number and placement of EEG channels to obtain high accuracies in sex and subject identification. The results of the identification show that the signals analyzed contain sex-specific information and that the best features from this sex-specific information are extracted from different EEG channel locations and from different hemispheres of the brain, for either sex. The effect of the number of electrodes and electrode localization is seen with clear differences between male and female subjects. The accuracy loss for sex identification when reducing the number of channels from 14 to 1 was of only 0.03 points during resting states (Accuracies from 0.79 to 0.76). For subject identification within either male or female groups during resting states, the accuracy loss was larger when reducing the number of channels from 14 to 1 (0.96 to 0.71 for female, 0.96 to 0.81 for male subjects). One finding of this study is that Theta and Gamma bands are strongest for males in the right hemisphere during resting states, whereas during linguistic activity these bands exhibit similar strengths in the left hemisphere for both males and females. Similar specific features in brain signals may enable the design of a flexible EEG device that can be adapted to specific mental tasks and Subject settings.

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Different Resting State EEG Features in Children from Switzerland and Saudi Arabia

Cited by 17 publications

References 93 publications

Resting-state electroencephalogram in learning-disabled children

Resting-state electroencephalogram in learning-disabled children

Evidence for a Resting State Network Abnormality in Adults Who Stutter

Sex differences observed in a study of EEG of linguistic activity and resting-state: Exploring optimal EEG channel configurations

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