Oscillatory delta and theta frequencies differentially support multiple items encoding to optimize memory performance during the digit span task

Aktürk, Tuba; Graaf, Tom A. de; Erdal, Furkan; Sack, Alexander T.; Güntekin, Bahar

doi:10.1016/j.neuroimage.2022.119650

Cited by 7 publications

(4 citation statements)

References 54 publications

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“…This result aligns with the large body of evidence demonstrating a crucial role of temporo-parietal areas for language comprehension [31], [32], [33]. Moreover, the prominence of delta oscillations in this context could be attributed to their recognized role in orchestrating long-range communication and coordinating cognitive processes, such as memory retrieval and attention allocation [34], [35]. This convergence of findings substantiates the notion that lexical surprisal exerts a distinct and lasting impact on neural processing.…”

Section: Lexical Predictability Does Not Affect Syntactic Processingsupporting

confidence: 86%

Brain and grammar: revealing electrophysiological basic structures with competing statistical models

Cometa,

Battaglini,

Artoni

et al. 2024

Preprint

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Acoustic, lexical and syntactic information is simultaneously processed in the brain. Therefore, distinguishing the electrophysiological activity pertaining to these components requires complex and indirect strategies. Capitalizing on previous works which factor out acoustic information, we could concentrate on the lexical and syntactic contribution to language processing by testing competing statistical models. We exploited EEG recordings and compared different surprisal models selectively involving lexical information, part of speech or syntactic structures in various combinations. EEG responses were recorded in 32 participants during listening to affirmative active declarative sentences and compared the activation corresponding to basic syntactic structures, such as noun phrases vs verb phrases. Lexical and syntactic processing activates different frequency bands, different time windows and different networks. Moreover, surprisal models based on part of speech inventory only do not explain well the electrophysiological data, while those including syntactic information do. Finally, we confirm previous measures obtained with intracortical recordings independently supporting the original hypothesis addressed here in a robust way.

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Section: Lexical Predictability Does Not Affect Syntactic Processingsupporting

confidence: 86%

Brain and grammar: revealing electrophysiological basic structures with competing statistical models

Cometa,

Battaglini,

Artoni

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…On the other hand, a report investigating gender-related EEG/CSF patterns in AD has shown altered rsEEG theta rhythms related to Ab-42 in men [ 58 ]. At this point, it is important to remember the different dynamics of rsEEGs and EROs in the theta frequency, where cognitive performance is negatively associated with theta rsEEG rhythms [ 59 ], whilst theta ERO responses are indicative of higher cognitive performance [ 16 ] and brain volume [ 22 , 45 ]. Thirdly, human brains show great plasticity during their lifespan [ 60 ], and education, gender, and sex hormones have an impact on brain plasticity [ 1 , 61 ].…”

Section: Discussionmentioning

confidence: 99%

“…Thus, a greater understanding of the simultaneous involvement of several brain networks in brain activities has resulted from the analysis of the oscillatory dynamics of the ERP signal, also known as event-related oscillations (EROs) [ 13 ]. Delta and theta ERO responses are specifically important in the cognitive process and they are the main constituents of the ERP [ 14 , 15 , 16 ]. Gender is an important factor in event-related potentials/oscillations (ERPs/EROs), with higher amplitudes in females [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Age-Related Aspects of Sex Differences in Event-Related Brain Oscillatory Responses: A Turkish Study

Yener,

Kıyı,

Düzenli-Öztürk

et al. 2024

Brain Sciences

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Earlier research has suggested gender differences in event-related potentials/oscillations (ERPs/EROs). Yet, the alteration in event-related oscillations (EROs) in the delta and theta frequency bands have not been explored between genders across the three age groups of adulthood, i.e., 18–50, 51–65, and >65 years. Data from 155 healthy elderly participants who underwent a neurological examination, comprehensive neuropsychological assessment (including attention, memory, executive function, language, and visuospatial skills), and magnetic resonance imaging (MRI) from past studies were used. The delta and theta ERO powers across the age groups and between genders were compared and correlational analyses among the ERO power, age, and neuropsychological tests were performed. The results indicated that females displayed higher theta ERO responses than males in the frontal, central, and parietal regions but not in the occipital location between 18 and 50 years of adulthood. The declining theta power of EROs in women reached that of men after the age of 50 while the theta ERO power was more stable across the age groups in men. Our results imply that the cohorts must be recruited at specified age ranges across genders, and clinical trials using neurophysiological biomarkers as an intervention endpoint should take gender into account in the future.

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“…This is most prominently demonstrated in working memory tasks, where functional training has been shown to enhance the brain’s working memory capacity ( Weicker et al, 2016 ). Theta and alpha bands in the frontal region have traditionally been considered the two frequency bands most intimately associated with working memory ( Klimesch, 1999a ; Wei and Zhou, 2020 ), Nevertheless, recent findings indicate a strong connection between the delta band and working memory ( Akturk et al, 2022 ). Another EEG metric reflecting working memory alterations is the brain network index.…”

Section: Theoretical Basis and Research Hypothesismentioning

confidence: 99%

Brain optimization with additional study time: potential brain differences between high- and low-performance college students

Xu,

Zhang,

et al. 2023

Front. Psychol.

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This study investigates potential differences in brain function among high-, average-, and low-performance college students using electroencephalography (EEG). We hypothesize that the increased academic engagement of high-performance students will lead to discernible EEG variations due to the brain’s structural plasticity. 61 third-year college students from identical majors were divided into high-performance (n = 20), average-performance (n = 21), and low-performance (n = 20) groups based on their academic achievements. We conducted three EEG experiments: resting state, Sternberg working memory task, and Raven progressive matrix task. Comprehensive analyses of the EEG data from the three experiments focused on power spectral density (PSD) and functional connectivity, with coherence (COH) employed as our primary metric for the latter. The results showed that in all experiments, there were no differences in working memory ability and IQ scores among the groups, and there were no significant differences in the power spectral densities of the delta, theta, alpha1, alpha2, beta, and gamma bands among the groups. Notably, on the Raven test, compared to their high-performing peers, low-performing students showed enhanced functional connectivity in the alpha 1 (8–9 Hz) band that connects the frontal and occipital lobes. We explored three potential explanations for this phenomenon: fatigue, anxiety, and greater cognitive effort required for problem-solving due to inefficient self-regulation and increased susceptibility to distraction. In essence, these insights not only deepen our understanding of the neural basis that anchors academic ability, but also hold promise in guiding interventions that address students’ diverse academic needs.

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Oscillatory delta and theta frequencies differentially support multiple items encoding to optimize memory performance during the digit span task

Cited by 7 publications

References 54 publications

Brain and grammar: revealing electrophysiological basic structures with competing statistical models

Brain and grammar: revealing electrophysiological basic structures with competing statistical models

Age-Related Aspects of Sex Differences in Event-Related Brain Oscillatory Responses: A Turkish Study

Brain optimization with additional study time: potential brain differences between high- and low-performance college students

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