Theta and alpha oscillatory responses differentiate between six-to seven-year-old children and adults during successful visual and auditory memory encoding

Güntekin, Bahar; Uzunlar, Hakan; Çalışoğlu, Pervin; Eroğlu-Ada, Figen; Yıldırım, Ebru; Aktürk, Tuba; Atay, Enver; Ceran, Ömer

doi:10.1016/j.brainres.2020.147042

Cited by 12 publications

(14 citation statements)

References 75 publications

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“…At this point, it is crucial to recognize that there are multiple alpha networks that may be related to different cognitive functions, including sensory processing, inhibition, memory processes, attention, and emotion. Since both above-mentioned studies ( Sato et al, 2018 ; Güntekin et al, 2020 ) require sensory processing along with increased visual attention, even though the paradigms used in the two studies are different, it is possible that the increase in alpha power in parietal-occipital areas in children could be due to overly active sensory processing along with the visual attention during task performance. In accordance with these studies, in our study, the day-night Stroop task was presented to children through a computer as visual stimulation, which might have resulted in overactive perceptual processing and increased visual attention compared to healthy adults, potentially leading to increased parietal-occipital alpha responses in children.…”

Section: Discussionmentioning

confidence: 99%

Immature event-related alpha dynamics in children compared with the young adults during inhibition shown by day-night stroop task

Güntekin,

Alptekin,

Yıldırım

et al. 2023

Front. Hum. Neurosci.

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IntroductionInhibitory control develops gradually from infancy to childhood and improves further during adolescence as the brain matures. Related previous studies showed the indispensable role of task-related alpha power during inhibition both in children and young adults. Nonetheless, none of the studies have been able to investigate the direct differences in brain responses between children and young adults when confronted with a stimulus that should be inhibited. Because, unlike event-related designs, task-related designs involve continuous tasks over a certain period, which precludes the possibility of making such a comparison. Accordingly, by employing event-related design, the present study first time in the literature, aimed to analyze the event-related alpha phase locking and event-related alpha synchronization/ desynchronization to differentiate the inhibitory processes in children compared to young adults.MethodsTwenty children between the ages of 6 to 7 years and 20 healthy young adult subjects between the ages of 18 to 30 years were included in the study. Day-night Stroop task was applied to all subjects during 18-channel EEG recordings. Event-related time-frequency analysis was performed with the complex Morlet Wavelet Transform for the alpha frequency band (8–13 Hz). Event related spectral perturbation (ERSP) in three different time windows (0–200 ms, 200–400 ms, 400–600 ms) and Event-related phase locking in the early time window (0–400 ms) was calculated.ResultsThe children had increased alpha power in early and late time windows but decreased alpha phase locking in the early time windows compared to young adults. There were also topological differences between groups; while young adults had increased alpha phase-locking in frontal and parietal electrode sites, children had increased occipital alpha power and phase locking.DiscussionThe shift in event-related alpha power observed from posterior to anterior regions with age may suggest a progressive maturation of the frontal areas involved in inhibitory processes from childhood to adulthood. The results of the present study showed that children and young adults had different EEG oscillatory dynamics during inhibitory processes at alpha frequency range.

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Section: Discussionmentioning

confidence: 99%

Immature event-related alpha dynamics in children compared with the young adults during inhibition shown by day-night stroop task

Güntekin,

Alptekin,

Yıldırım

et al. 2023

Front. Hum. Neurosci.

Self Cite

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“…However, in another study, they conducted with a larger and different sample group, and they could not replicate these findings for alpha and theta (Bailey et al, 2021 ). As it is known, the main element of the changes in EEG in Alzheimer's disease is the changes in alpha and theta (Bhattacharya et al, 2011 ; Güntekin et al, 2020 ). The results of our study are compatible with this general framework.…”

Section: Discussionmentioning

confidence: 99%

“…The results of our study are compatible with this general framework. There are also some findings showing that EEG event-related theta responses may be sensitive to neuromodulation interventions (Cespon et al, 2019 ; Güntekin et al, 2020 ). However, the impaired dynamics associated with EEG in AD are not unique only to theta and alpha.…”

Section: Discussionmentioning

confidence: 99%

Predicting the Effects of Repetitive Transcranial Magnetic Stimulation on Cognitive Functions in Patients With Alzheimer's Disease by Automated EEG Analysis

Kayasandık

Hanoğlu

2022

Front. Cell. Neurosci.

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Alzheimer's disease (AD) is a progressive, neurodegenerative brain disorder that generally affects the elderly. Today, after the limited benefit of the pharmacological treatment strategies, numerous noninvasive brain stimulation techniques have been developed. Transcranial magnetic stimulation (TMS), based on electromagnetic stimulation, is one of the most widely used methods. The main problem in the use of TMS is the existence of large individual variability in the results. This causes a waste of money, time, and more importantly, a burden for delicate patients. Hence, it is a necessity to form an efficient and personalized TMS application protocol. In this paper, we performed a machine-learning analysis to see whether it is possible to predict the responses of patients with AD to TMS by analyzing their electroencephalography (EEG) signals. For that purpose, we analyzed both the EEG signals collected before and after the TMS application (EEG1 and EEG2, respectively). Through correlating EEG1 and repetitive transcranial magnetic stimulation (rTMS) outcomes, we tried to see whether it is possible to predict patients' responses before the treatment application. On the other hand, by EEG2 analysis, we investigated TMS impacts on EEG, more importantly if this impact is correlated with patients' response to the treatment. We used the support vector machine (SVM) classifier due to its multiple advantages for the current task with feature selection processes by stepwise linear discriminant analysis (SWLDA) and SVM. However, to justify our numerical analysis framework, we examined and compared the performances of different feature selection and classification techniques. Since we have a limited sample number, we used the leave-one-out method for the validation with the Monte Carlo technique to eliminate bias by a small sample size. In the conclusion, we observed that the correlation between rTMS outcomes and EEG2 is stronger than EEG1, since we observed, respectively, 93 and 79% of accuracies during our data analysis. Besides the informative features of EEG2 are focused on theta band, it indicates that TMS is characterizing the theta band signals in patients with AD in direct relation to patients' response to rTMS. This shows that it is more possible to determine patients' benefit from the TMS at the early stages of the treatment, which would increase the efficiency of rTMS applications in patients with Alzheimer's disease.

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“…So far, much fewer studies have investigated WM-related brain oscillations in children 28 , and almost none for children with dyslexia 29 . The present study recorded concurrent EEG while the children with and without dyslexia were doing the n -back task, in order to compare not only behavioral performance but also brain oscillations of the two groups in a WM task.…”

Section: Introductionmentioning

confidence: 99%

Behavioral and neurophysiological aspects of working memory impairment in children with dyslexia

Wang

Huo

et al. 2022

Sci Rep

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The present study aimed to identify behavioral and neurophysiological correlates of dyslexia which could potentially predict reading difficulty. One hundred and three Chinese children with and without dyslexia (Grade 2 or 3, 7- to 11-year-old) completed both verbal and visual working memory (n-back) tasks with concurrent EEG recording. Data of 74 children with sufficient usable EEG data are reported here. Overall, the typically developing control group (N = 28) responded significantly faster and more accurately than the group with dyslexia (N = 46), in both types of tasks. Group differences were also found in EEG band power in the retention phase of the tasks. Moreover, forward stepwise logistic regression demonstrated that both behavioral and neurophysiological measures predicted reading difficulty uniquely. Dyslexia was associated with higher frontal midline theta activity and reduced upper-alpha power in the posterior region. This finding is discussed in relation to the neural efficiency hypothesis. Whether these behavioral and neurophysiological patterns can longitudinally predict later reading development among preliterate children requires further investigation.

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Theta and alpha oscillatory responses differentiate between six-to seven-year-old children and adults during successful visual and auditory memory encoding

Cited by 12 publications

References 75 publications

Immature event-related alpha dynamics in children compared with the young adults during inhibition shown by day-night stroop task

Immature event-related alpha dynamics in children compared with the young adults during inhibition shown by day-night stroop task

Predicting the Effects of Repetitive Transcranial Magnetic Stimulation on Cognitive Functions in Patients With Alzheimer's Disease by Automated EEG Analysis

Behavioral and neurophysiological aspects of working memory impairment in children with dyslexia

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