scholarly journals Bioelectric activity of the brain in 3-4 years old children in eyes-open resting state

2021 ◽  
Vol 8 (4) ◽  
pp. 47-56
Author(s):  
V. B. Voitenkov ◽  
A. B. A. B. Palchick ◽  
N. A. Savelieva ◽  
E. P. Bogdanova
Keyword(s):  
Resting State ◽  
Alpha Rhythm ◽  
Average Power ◽  
Pathological State ◽  
Temporal Area ◽  
Main Technique ◽  
Eyes Open ◽  
The Right ◽  
The Brain ◽  
Active Wakefulness

Background. Electroencephalography is the main technique for assessing the functional state of the brain. Indications for EEG are diagnosis of paroxysmal states, prediction of the outcome of a pathological state, evaluation of bioelectrical activity if brain death is suspected. Up to 90 % of the native EEG in calm wakefulness in healthy individuals is occupied by “alpha activity”. In children in active wakefulness, the EEG pattern depends to a great extent on their age.Objective. The aim of the work was to assess EEG parameters in children aged 3–4 years in eyes-open resting state. Design and methods. 31 healthy participants aged 3–4 years were enrolled. EEG was registered for 30 minutes in a state of passive wakefulness in the supine position with open eyes. Average values of the power of the spectra for the alpha-rhythm, delta-rhythm and theta-rhythm in the frontal and temporal leads, as well as the ratio of the average power of alpha/theta and alpha/delta rhythms in the frontal and temporal leads were calculated.Results. Average power of the alpha-rhythm was significantly higher over the right frontal lobe than over the right frontal-temporal area, as well as average amplitude of it was significantly higher in F3-A1 than F7-A1, F4-A2 than F8-A2, which is associated with the articulatory praxis. Average alpha-rhythm power was significantly higher in T5-A1 than T3-A1 and T6-A2 than T4-A2, which corresponds to the recognition and naming of objects optically. Significant differences according to the total average power of the alpha- and theta-rhythms above the frontal and frontal-temporal regions reflect the relationship between the frontal cortex temporal lobes and the premotor zones, i.e. arcuate bundle, responsible for the “speech system”.Conclusion. The identified patterns can reflect the characteristics of the state of active wakefulness in a 3–4-year-old child and can be used for comparison in the future (both in the course of behavioral experiments and observation of patients with certain pathological processes).

Magnetoencephalography Resting-State Correlates of Executive and Language Components of Verbal Fluency

2021 ◽  
Author(s):  
Victor Oswald ◽  
Younes Zerouali ◽  
Aubrée Boulet-Craig ◽  
Maja Krajinovic ◽  
Caroline Laverdière ◽  
...  
Keyword(s):  
Resting State ◽  
Verbal Fluency ◽  
Right Hemisphere ◽  
Spectral Power ◽  
Inferior Frontal Gyrus ◽  
Factor Loading ◽  
Language Abilities ◽  
Verbal Test ◽  
Eyes Open ◽  
The Right

Abstract Verbal fluency (VF) is a heterogeneous test that requires executive functions as well as language abilities. The purpose of this study was to elucidate the specificity of the resting state MEG correlates of the executive and language components. To this end, we administered a VFtest, another verbal test (Vocabulary), and another executive test (Trail Making Test), and we recorded 5-min eyes-open resting-state MEG data in 28 healthy participants. We used source-reconstructed spectral power estimates to compute correlation/anticorrelation MEG clusters with the performance at each test, as well as with the advantage in performance between tests, across individuals using cluster-level statisticsin the standard frequency bands. By obtaining conjunction clusters between verbal fluency scores and factor loading obtained for verbal fluency and each of the two other tests, we showed a core of slow clusters (delta to beta) localized in the right hemisphere, in adjacent parts of the premotor, pre-central and post-central cortex in the mid-lateral regions related to executive monitoring. We also found slow parietal clusters bilaterally and a cluster in the gamma 2 and 3 bandsin the left inferior frontal gyrus likely associated with phonological processinginvolved in verbal fluency.

scholarly journals Mindfulness Meditation Is Related to Long-Lasting Changes in Hippocampal Functional Topology during Resting State: A Magnetoencephalography Study

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Anna Lardone ◽  
Marianna Liparoti ◽  
Pierpaolo Sorrentino ◽  
Rosaria Rucco ◽  
Francesca Jacini ◽  
...  
Keyword(s):  
Resting State ◽  
Mindfulness Meditation ◽  
Brain Connectivity ◽  
Brain Networks ◽  
Brain Network ◽  
Long Term Effects ◽  
Age Related ◽  
Functional Topology ◽  
The Right ◽  
The Brain

It has been suggested that the practice of meditation is associated to neuroplasticity phenomena, reducing age-related brain degeneration and improving cognitive functions. Neuroimaging studies have shown that the brain connectivity changes in meditators. In the present work, we aim to describe the possible long-term effects of meditation on the brain networks. To this aim, we used magnetoencephalography to study functional resting-state brain networks in Vipassana meditators. We observed topological modifications in the brain network in meditators compared to controls. More specifically, in the theta band, the meditators showed statistically significant (p corrected = 0.009) higher degree (a centrality index that represents the number of connections incident upon a given node) in the right hippocampus as compared to controls. Taking into account the role of the hippocampus in memory processes, and in the pathophysiology of Alzheimer’s disease, meditation might have a potential role in a panel of preventive strategies.

scholarly journals High-definition tDCS to the right temporoparietal junction modulates slow-wave resting state power and coherence in healthy adults

2019 ◽  
Vol 122 (4) ◽  
pp. 1735-1744 ◽  
Author(s):  
Peter H. Donaldson ◽  
Melissa Kirkovski ◽  
Joel S. Yang ◽  
Soukayna Bekkali ◽  
Peter G. Enticott
Keyword(s):  
Direct Current ◽  
Transcranial Direct Current Stimulation ◽  
Resting State ◽  
Oscillatory Activity ◽  
High Definition ◽  
Temporoparietal Junction ◽  
Eyes Open ◽  
Right Temporoparietal Junction ◽  
The Right ◽  
Cathodal Stimulation

The right temporoparietal junction (rTPJ) is a multisensory integration hub that is increasingly utilized as a target of stimulation studies exploring its rich functional network roles and potential clinical applications. While transcranial direct current stimulation (tDCS) is frequently employed in such studies, there is still relatively little known regarding its local and network neurophysiological effects, particularly at important nonmotor sites such as the rTPJ. The current study applied either anodal, cathodal, or sham high-definition tDCS to the rTPJ of 53 healthy participants and used offline EEG to assess the impacts of stimulation on resting state (eyes open and eyes closed) band power and coherence. Temporoparietal and central region delta power was increased after anodal stimulation (the latter trend only), whereas cathodal stimulation increased frontal region delta and theta power. Increased coherence between right and left temporoparietal regions was also observed after anodal stimulation. All significant effects occurred in the eyes open condition. These findings are discussed with reference to domain general and mechanistic theories of rTPJ function. Low-frequency oscillatory activity may exert long-range inhibitory network influences that enable switching between and integration of endogenous/exogenous processing streams. NEW & NOTEWORTHY Through the novel use of high-definition transcranial direct current stimulation (tDCS) and EEG, we provide evidence that both anodal and cathodal stimulation of the right temporoparietal junction selectively modulate slow-wave power and coherence in distributed network regions of known relevance to proposed temporoparietal junction functionality. These results also provide direct evidence of the ability of tDCS to modulate oscillatory activity at a long-range network level, which may have explanatory power in terms of both neurophysiological and behavioral effects.

scholarly journals The Effect of Light Sedation with Midazolam on Functional Connectivity of the Dorsal Attention Network

2021 ◽  
Vol 11 (8) ◽  
pp. 1107
Author(s):  
Junkai Wang ◽  
Yachao Xu ◽  
Gopikrishna Deshpande ◽  
Kuncheng Li ◽  
Pei Sun ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Drug Induced ◽  
Temporal Area ◽  
Attention Network ◽  
Sensorimotor Network ◽  
Dorsal Attention Network ◽  
Functional Patterns ◽  
Light Sedation ◽  
The Right

Altered connectivity within and between the resting-state networks (RSNs) brought about by anesthetics that induce altered consciousness remains incompletely understood. It is known that the dorsal attention network (DAN) and its anticorrelations with other RSNs have been implicated in consciousness. However, the role of DAN-related functional patterns in drug-induced sedative effects is less clear. In the current study, we investigated altered functional connectivity of the DAN during midazolam-induced light sedation. In a placebo-controlled and within-subjects experimental study, fourteen healthy volunteers received midazolam or saline with a 1-week interval. Resting-state fMRI data were acquired before and after intravenous drug administration. A multiple region of interest-driven analysis was employed to investigate connectivity within and between RSNs. It was found that functional connectivity was significantly decreased by midazolam injection in two regions located in the left inferior parietal lobule and the left middle temporal area within the DAN as compared with the saline condition. We also identified three clusters in anticorrelation between the DAN and other RSNs for the interaction effect, which included the left medial prefrontal cortex, the right superior temporal gyrus, and the right superior frontal gyrus. Connectivity between all regions and DAN was significantly decreased by midazolam injection. The sensorimotor network was minimally affected. Midazolam decreased functional connectivity of the dorsal attention network. These findings advance the understanding of the neural mechanism of sedation, and such functional patterns might have clinical implications in other medical conditions related to patients with cognitive impairment.

scholarly journals Personalized Theta and Beta Binaural Beats for Brain Entrainment: An Electroencephalographic Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
César E. Corona-González ◽  
Luz María Alonso-Valerdi ◽  
David I. Ibarra-Zarate
Keyword(s):  
Resting State ◽  
Auditory Perception ◽  
Mental Condition ◽  
Eeg Signals ◽  
Binaural Beats ◽  
Power Spectral ◽  
Power Change ◽  
Pure Tones ◽  
The Right ◽  
The Brain

Binaural beats (BB) consist of two slightly distinct auditory frequencies (one in each ear), which are differentiated with clinical electroencephalographic (EEG) bandwidths, namely, delta, theta, alpha, beta, or gamma. This auditory stimulation has been widely used to module brain rhythms and thus inducing the mental condition associated with the EEG bandwidth in use. The aim of this research was to investigate whether personalized BB (specifically those within theta and beta EEG bands) improve brain entrainment. Personalized BB consisted of pure tones with a carrier tone of 500 Hz in the left ear together with an adjustable frequency in the right ear that was defined for theta BB (since fc for theta EEG band was 4.60 Hz ± 0.70 SD) and beta BB (since fc for beta EEG band was 18.42 Hz ± 2.82 SD). The adjustable frequencies were estimated for each participant in accordance with their heart rate by applying the Brain-Body Coupling Theorem postulated by Klimesch. To achieve this aim, 20 healthy volunteers were stimulated with their personalized theta and beta BB for 20 min and their EEG signals were collected with 22 channels. EEG analysis was based on the comparison of power spectral density among three mental conditions: (1) theta BB stimulation, (2) beta BB stimulation, and (3) resting state. Results showed larger absolute power differences for both BB stimulation sessions than resting state on bilateral temporal and parietal regions. This power change seems to be related to auditory perception and sound location. However, no significant differences were found between theta and beta BB sessions when it was expected to achieve different brain entrainments, since theta and beta BB induce relaxation and readiness, respectively. In addition, relative power analysis (theta BB/resting state) revealed alpha band desynchronization in the parieto-occipital region when volunteers listened to theta BB, suggesting that participants felt uncomfortable. In conclusion, neural resynchronization was met with both personalized theta and beta BB, but no different mental conditions seemed to be achieved.

scholarly journals Magnetoencephalography resting-state correlates of executive and language components of verbal fluency

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Victor Oswald ◽  
Younes Zerouali ◽  
Aubrée Boulet-Craig ◽  
Maja Krajinovic ◽  
Caroline Laverdière ◽  
...  
Keyword(s):  
Phonological Processing ◽  
Resting State ◽  
Verbal Fluency ◽  
Right Hemisphere ◽  
Spectral Power ◽  
Inferior Frontal Gyrus ◽  
Factor Loading ◽  
Verbal Test ◽  
Eyes Open ◽  
The Right

AbstractVerbal fluency (VF) is a heterogeneous cognitive function that requires executive as well as language abilities. The purpose of this study was to elucidate the specificity of the resting state MEG correlates of the executive and language components. To this end, we administered a VF test, another verbal test (Vocabulary), and another executive test (Trail Making Test), and we recorded 5-min eyes-open resting-state MEG data in 28 healthy participants. We used source-reconstructed spectral power estimates to compute correlation/anticorrelation MEG clusters with the performance at each test, as well as with the advantage in performance between tests, across individuals using cluster-level statistics in the standard frequency bands. By obtaining conjunction clusters between verbal fluency scores and factor loading obtained for verbal fluency and each of the two other tests, we showed a core of slow clusters (delta to beta) localized in the right hemisphere, in adjacent parts of the premotor, pre-central and post-central cortex in the mid-lateral regions related to executive monitoring. We also found slow parietal clusters bilaterally and a cluster in the gamma 2 and 3 bands in the left inferior frontal gyrus likely associated with phonological processing involved in verbal fluency.

Hygienic Assessment of Digital Writing: A Bio-Cybernetic Approach. Report I

2021 ◽  
pp. 27-33
Keyword(s):  
Resting State ◽  
Alpha Rhythm ◽  
Methodological Approach ◽  
Educational Process ◽  
Bioelectrical Activity ◽  
Digital Writing ◽  
Brain Functions ◽  
Potential Risks ◽  
Keyboard Typing ◽  
The Brain

Background: Introduction of digital technologies into the educational process involves the widespread use of keyboard typing and spending less time handwriting. At the same time, studies in the field of physiology and hygiene of handwriting show its importance for the development and formation of brain functions in children in the learning process. Potential risks for child development associated with regular typing and rare handwriting require proper hygienic assessment of the former. Yet, the lack of a scientifically based methodological approach is a strong limitation for such studies. Objective: To develop a methodological approach and conduct a pilot study on hygienic assessment of digital writing based on a bio-cybernetic analysis of the bioelectrical activity of the brain. Materials and methods: To arrange and conduct the research, we developed an algorithm based on a comparative analysis of the bioelectrical activity of the brain during typing and handwriting. Scalp electrodes were applied according to the International 10–20 system. EEG registration was carried out using a Neuro-KM computer-aided electroencephalograph by Statokin, Russia, with a Brainsys software for spectral-coherent and statistical analysis of EEG. The software allowed us to estimate the topography of the absolute power of the alpha rhythm in a resting state, during handwriting and typing, and the intrahemispheric and interhemispheric coherence of the alpha rhythm. Results: We established that the power of vibrations in the alpha range during digital and handwriting decreased compared to the resting state. Such a decrease reflecting activation of the cortex was noted in a more extensive area during handwriting. Typing decreased alpha waves only in the motor and sensorimotor areas of the brain. Compared to the resting state, handwriting significantly increased interaction between all areas of the cortex inside both hemispheres while typing did that in one hemisphere only. Conclusion: Our findings indicate that handwriting is provided by a more complex system of activation and interaction of areas of the cerebral cortex than typing. The developed algorithm can be used for further research on digital writing.

scholarly journals Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Ahmed M. A. Mohamed ◽  
Osman N. Uçan ◽  
Oğuz Bayat ◽  
Adil Deniz Duru
Keyword(s):  
Resting State ◽  
Sample Entropy ◽  
Support Vector ◽  
K Nearest Neighbors ◽  
Linear Discriminant ◽  
Frequency Bands ◽  
Eyes Closed ◽  
Eeg Data ◽  
Eyes Open ◽  
The Brain

An electroencephalogram (EEG) is a significant source of diagnosing brain issues. It is also a mediator between the external world and the brain, especially in the case of any mental illness; however, it has been widely used to monitor the dynamics of the brain in healthy subjects. This paper discusses the resting state of the brain with eyes open (EO) and eyes closed (EC) by using sixteen channels by the use of conventional frequency bands and entropy of the EEG signal. The Fast Fourier Transform (FFT) and sample entropy (SE) of each sensor are computed as methods of feature extraction. Six classifiers, including logistic regression (LR), K-Nearest Neighbors (KNN), linear discriminant (LD), decision tree (DT), support vector machine (SVM), and Gaussian Naive Bayes (GNB) are used to discriminate the resting states of the brain based on the extracted features. EEG data were epoched with one-second-length windows, and they were used to compute the features to classify EO and EC conditions. Results showed that the LR and SVM classifiers had the highest average classification accuracy (97%). Accuracies of LD, KNN, and DT were 95%, 93%, and 92%, respectively. GNB gained the least accuracy (86%) when conventional frequency bands were used. On the other hand, when SE was used, the average accuracies of SVM, LD, LR, GNB, KNN, and DT algorithms were 92% 90%, 89%, 89%, 86%, and 86%, respectively.

Preserved high-centrality hubs but efficient network reorganization during eyes-open state compared with eyes-closed resting state: an MEG study

2014 ◽  
Vol 111 (7) ◽  
pp. 1455-1465 ◽  
Author(s):  
Seung-Hyun Jin ◽  
Woorim Jeong ◽  
Dong-Soo Lee ◽  
Beom Seok Jeon ◽  
Chun Kee Chung
Keyword(s):  
Resting State ◽  
Betweenness Centrality ◽  
Brain Network ◽  
Functional Network ◽  
Frequency Bands ◽  
Brain Functional Network ◽  
Eyes Closed ◽  
High Betweenness ◽  
Eyes Open ◽  
The Brain

A question to be addressed in the present study is how different the eyes-closed (EC) and eyes-open (EO) resting states are across frequency bands in terms of efficiency and centrality of the brain functional network. We investigated both the global and nodal efficiency and betweenness centrality in the EC and EO resting states from 39 volunteers. Mutual information was used to obtain the functional connectivity for each of the four frequency bands (theta, alpha, beta, and gamma). We showed that the cortical hubs with high betweenness centrality were maintained in the EC and EO resting states. We further showed that these hubs were associated with more than three frequency bands, suggesting that these hubs play an important role in the brain functional network at multiple temporal scales in the resting states. Enhanced global efficiency values were found in the theta and alpha bands in the EO state compared with those in the EC state. Moreover, it turned out that in the EO state the functional network was reorganized to enhance nodal efficiency at the nodes related to both the default mode and the dorsal attention networks and sensory-related resting-state networks. This result suggests that in the EO state the brain functional network was efficiently reorganized, facilitating the adaptation of the brain network to the change in state, which could help in understanding brain disorders that have a disturbance in communication with external environments by using the adaptation ability of brain functional networks.

Cerebral Asymmetry: A Quantitative, Multifactorial, and Plastic Brain Phenotype

2012 ◽  
Vol 15 (3) ◽  
pp. 401-413 ◽  
Author(s):  
Miguel E. Rentería
Keyword(s):  
Corpus Callosum ◽  
Human Brain ◽  
The Other ◽  
Pathological State ◽  
Cerebral Asymmetry ◽  
The Past ◽  
Psychiatric Conditions ◽  
Equivalent Structure ◽  
The Right ◽  
The Brain

The longitudinal fissure separates the human brain into two hemispheres that remain connected through the corpus callosum. The left and the right halves of the brain resemble each other, and almost every structure present in one side has an equivalent structure in the other. Despite this exceptional correspondence, the two hemispheres also display important anatomical differences and there is marked lateralization of certain cognitive and motor functions such as language and handedness. However, the mechanisms that underlie the establishment of these hemispheric specializations, as well as their physiological and behavioral implications, remain largely unknown. Thanks to recent advances in neuroimaging, a series of studies documenting variation in symmetry and asymmetry as a function of age, gender, brain region, and pathological state, have been published in the past decade. Here, we review evidence of normal and atypical cerebral asymmetry, and the factors that influence it at the macrostructural level. Given the prominent role that cerebral asymmetry plays in the organization of the brain, and its possible implication in neurodevelopmental and psychiatric conditions, further research in this area is anticipated.

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