Investigating EEG theta and alpha oscillations as measures of value-directed strategic processing in cognitively normal younger and older adults

Nguyen, Lydia T.; Marini, Francesco; Shende, Shraddha; Llano, Daniel A.; Mudar, Raksha A.

doi:10.1016/j.bbr.2020.112702

Cited by 8 publications

(10 citation statements)

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“…Furthermore, Dushanova and Christov (2014) showed that stimulus-evoked alpha responses were greater in older compared to younger CU adults, while the opposite was true for event-related alpha responses during cognitive demands. Moreover, other studies have reported delayed eventrelated alpha responses in older relative to younger CU adults (Deiber et al, 2010;Nguyen et al, 2020;Zanto et al, 2010). On the other hand, several studies found no significant aging effects on event-related alpha responses raising the issue of reliability of such measures (Kober et al, 2016;Mishra et al, 2013;Schmiedt-Fehr et al, 2009).…”

Section: Admci and Add Patientsmentioning

confidence: 99%

Are there consistent abnormalities in event‐related EEG oscillations in patients with Alzheimer’s disease compared to other diseases belonging to dementia?

et al. 2021

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Section: Admci and Add Patientsmentioning

confidence: 99%

Are there consistent abnormalities in event‐related EEG oscillations in patients with Alzheimer’s disease compared to other diseases belonging to dementia?

et al. 2021

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“…Numerous studies using EEGs have consistently found that the measurement and evaluation for the learning process of student mental states are a combination of the alpha and theta wave frequency [87]- [89]. The activity in the theta wave was reported as being favorably correlatable, with the preference for memory as well as a predictive factor of changes in cognitive tasks, specifically in the frontal lobe.…”

Section: Cognitive and Affective Brain-computer Interfaces In Educationmentioning

confidence: 99%

Cognitive and Affective Brain–Computer Interfaces for Improving Learning Strategies and Enhancing Student Capabilities: A Systematic Literature Review

Jamil

Belkacem²,

Ouhbi

et al. 2021

IEEE Access

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Brain-computer interface (BCI) technology has the potential to positively contribute to the educational learning environment, which faces many challenges and shortcomings. Cognitive and affective BCIs can offer a deep understanding of brain mechanisms, which may improve learning strategies and increase brain-based skills. They can offer a better empirical foundation for teaching-learning methodologies, including adjusting learning content based on brain workload, measuring student interest of a topic, or even helping students focus on specific tasks. The latest findings from emerging BCI technology, neuroscience, cognitive sciences, and psychology could be used in learning and teaching strategies to improve student abilities in education. This study investigates and analyzes the research on BCI patterns and its implementation for enhancing cognitive capabilities of students. The results showed that there is insufficient literature on BCI that addresses students with disabilities in the learning process. Further, our analysis revealed a bias toward the significance of cognitive process factors compared with other influential factors, such as the learning environment and emotions that influence learning. Finally, we concluded that BCI technology could improve students' learning and cognitive skills-when consistently associated with the different pedagogical teaching-learning strategies-for better academic achievement.INDEX TERMS 21st century abilities, Applications in subject areas, Brain computer interface, Improving classroom teaching, Neurofeedback, Teaching/learning strategies.

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“…This preferential processing ability minimizes cognitive burden and enables us to carry out everyday activities efficiently [ 1 ]. Evidence suggests that value-directed strategic processing is relatively well-preserved with normal cognitive aging [ 2 , 3 , 4 , 5 ]; however, the impact of cognitive impairment on strategic processing has been examined less frequently [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

“…Power can then be estimated within each of these bands relative to a pre-stimulus baseline period and can either be more positive (event-related synchronization) or more negative (event-related desynchronization) relative to baseline [ 41 ]. Our previous work examined ERSPs during a value-directed word list learning task, with findings indicating that changes in theta and alpha band spectral power are linked to value-directed strategic processing [ 5 , 42 ]. In particular, we found greater synchronization in frontal theta for low- compared to high-value words and greater desynchronization in parietal alpha for high- compared to low-value words for both cognitively normal younger and older adults [ 5 , 42 ].…”

Section: Introductionmentioning

confidence: 99%

“…Our previous work examined ERSPs during a value-directed word list learning task, with findings indicating that changes in theta and alpha band spectral power are linked to value-directed strategic processing [ 5 , 42 ]. In particular, we found greater synchronization in frontal theta for low- compared to high-value words and greater desynchronization in parietal alpha for high- compared to low-value words for both cognitively normal younger and older adults [ 5 , 42 ].…”

Section: Introductionmentioning

confidence: 99%

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Disrupted Value-Directed Strategic Processing in Individuals with Mild Cognitive Impairment: Behavioral and Neural Correlates

et al. 2022

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Value-directed strategic processing involves attending to higher-value information while inhibiting lower-value information. This preferential processing is relatively preserved in cognitively normal older adults but is impaired in individuals with dementia. No studies have investigated whether value-directed strategic processing is disrupted in earlier stages of cognitive decline, namely, mild cognitive impairment (MCI). The current study examined behavioral and EEG differences in value-directed strategic processing between 18 individuals with MCI and 18 cognitively normal older controls using a value-directed list learning task. Behaviorally, individuals with MCI recalled fewer total and high-value words compared to controls, but no group differences were observed in low-value word recall. Neurally, individuals with MCI had reduced theta synchronization relative to controls between 100 and 200 ms post-stimulus. Greater alpha desynchronization was observed for high- versus low-value words between 300 and 400 ms in controls but not in the MCI group. The groups showed some processing similarities, with greater theta synchronization for low-value words between 700 and 800 ms and greater alpha desynchronization for high-value words between 500 and 1100 ms. Overall, value-directed strategic processing was compromised in individuals with MCI on both behavioral and neural measures relative to controls. These findings add to the growing body of literature on differences between typical cognitive aging and MCI.

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Investigating EEG theta and alpha oscillations as measures of value-directed strategic processing in cognitively normal younger and older adults

Cited by 8 publications

References 55 publications

Are there consistent abnormalities in event‐related EEG oscillations in patients with Alzheimer’s disease compared to other diseases belonging to dementia?

Are there consistent abnormalities in event‐related EEG oscillations in patients with Alzheimer’s disease compared to other diseases belonging to dementia?

Cognitive and Affective Brain–Computer Interfaces for Improving Learning Strategies and Enhancing Student Capabilities: A Systematic Literature Review

Disrupted Value-Directed Strategic Processing in Individuals with Mild Cognitive Impairment: Behavioral and Neural Correlates

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