Prioritizing flexible working memory representations through retrospective attentional strengthening

Li, Dongwei; Hu, Yiqing; Qi, Mengdi; Zhao, Chenguang; Jensen, Ole; Huang, Jing; Song, Yan

doi:10.1016/j.neuroimage.2023.119902

Cited by 10 publications

(13 citation statements)

References 94 publications

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“…Several prior studies have identi ed anterior negative components in a similar time window during WM tasks. Li et al (2023) obtained EEG data during a WM task with an encoding, cueing, and probe stage on each trial (with each trial spanning several seconds). The stimuli presented during the encoding stage were bars of different colors tilted at different orientations.…”

Section: Discussionmentioning

confidence: 99%

Letter identification and spatial localization during visual working memory are enabled by unique sequences of stimulus-dependent neural operations

Haller,

Nyarady,

Covey

2023

Preprint

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Working memory (WM) is often conceptualized as a multicomponent system consisting of a supervisory central executive component, as well as separable short-term storage components associated with the processing of verbal and spatial information. In the present study, we examined the sequence of neural operations that are engaged for visual-verbal and visual-spatial information during demanding WM performance using an event-related potential (ERP) approach. Participants completed both a verbal and spatial 3-back task with visually presented stimuli, and ERPs were obtained for task performance. ERP analyses indicated that there was an enhancement of anterior N1, P2, P3, and late negative (approximately 400 + msec post-stimulus) component amplitude for the spatial 3-back in comparison to the verbal 3-back task. We interpret these effects as reflecting increased recruitment of neural resources related to the orienting of spatial attention (N1, P2 effects) and comparison and updating of stimulus location during WM (anterior P3, late negativity effects). In contrast, in comparison to the spatial 3-back task, the verbal 3-back task exhibited an enhancement of frontal N2 amplitude, as well as a broader P3 component morphology with a posterior scalp localization. We interpret these effects as reflecting increased recruitment of neural resources associated with stimulus conflict monitoring (N2 effect) and stimulus identification and categorization (posterior P3 effect). These findings suggest that the time-course of neural operations during demanding WM updating is dependent upon the domain of the stimulus information. These ERP effects likely reflect the distinct ventral and dorsal visual processing streams associated with verbal/object and spatial information.

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Section: Discussionmentioning

confidence: 99%

Letter identification and spatial localization during visual working memory are enabled by unique sequences of stimulus-dependent neural operations

Haller,

Nyarady,

Covey

2023

Preprint

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“…To measure the CDA component, we determined the time window and electrodes basing on previous studies with similar paradigm ( Göddertz et al, 2018 ; Li et al, 2023 ). we calculated the contralateral and ipsilateral waveforms relative to the target-located hemifield by averaging across five pairs of electrode sites (P3/4, P5/6, P7/8, PO5/6, and PO7/8).…”

Section: Methodsmentioning

confidence: 99%

Neural and behavioral evidence supporting the relationship between habitual exercise and working memory precision in healthy young adults

Yuan

et al. 2023

Front. Neurosci.

Self Cite

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IntroductionWorking memory (WM) is a well-known fundamental ability related to various high-level cognitive functions, such as executive functioning, decision-making, and problem-solving. Although previous studies have posited that chronic exercise may improve cognitive functions, its underlying neural mechanisms and whether habitual exercise is associated with individual WM ability remain unclear.MethodsIn the current study, 36 participants reported their habitual physical activity through the International Physical Activity Questionnaire (IPAQ). In addition to assessments of intelligence quotient (IQ), WM storage capacity (K score), and visuomotor coordination capacity, electroencephalogram (EEG) signals were recorded while the participants performed a WM precision task fusing conventional visual and motor retrospective cue (retro-cue) WM tasks.ResultsWe found that greater amounts of and higher frequencies of vigorous-intensity exercise were highly correlated with smaller recall errors in the WM precision task. Contralateral delay activity (CDA), a well-known WM-related event-related potential (ERP) component evoked by the valid retro-cue, predicted individual behavioral recall error. Participants who met the medium or high level of IPAQ criteria (the regular exercise group) showed smaller behavioral recall error and larger CDA than participants who did not meet the criteria (the irregular exercise group). The two groups did not differ in other assessments, such as IQ, WM storage capacity, and visuomotor coordination ability.DiscussionHabitual exercise was specifically correlated with individual differences in WM precision, rather than IQ, WM storage capacity, and visuomotor coordination ability, suggesting potential mechanisms of how modulations of chronic exercise improve cognition through visual and/or motor WM precision.

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“…To address these shortcomings, researchers have begun to apply multivariate pattern analysis (MVPA) techniques to ERP data to gain insight into brain activity that may not be related to traditional ERPs (Ashton et al., 2022; Chan et al., 2011; Daly, 2023; de Vries et al., 2019; Grootswagers et al., 2017; Gurariy et al., 2022; Hubbard et al., 2019; Li et al., 2023; Murphy et al., 2011; Wang et al., 2012; Yang et al., 2021). In particular, machine learning algorithms can be used to distinguish slight differences between different stimulus classes in the pattern of voltage across electrode sites.…”

Section: Introductionmentioning

confidence: 99%

Using multivariate pattern analysis to increase effect sizes for event‐related potential analyses

Carrasco,

Bahle,

Simmons

et al. 2024

Psychophysiology

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Multivariate pattern analysis (MVPA) approaches can be applied to the topographic distribution of event‐related potential (ERP) signals to “decode” subtly different stimulus classes, such as different faces or different orientations. These approaches are extremely sensitive, and it seems possible that they could also be used to increase effect sizes and statistical power in traditional paradigms that ask whether an ERP component differs in amplitude across conditions. To assess this possibility, we leveraged the open‐source ERP CORE data set and compared the effect sizes resulting from conventional univariate analyses of mean amplitude with two MVPA approaches (support vector machine decoding and the cross‐validated Mahalanobis distance, both of which are easy to compute using open‐source software). We assessed these approaches across seven widely studied ERP components (N170, N400, N2pc, P3b, lateral readiness potential, error related negativity, and mismatch negativity). Across all components, we found that multivariate approaches yielded effect sizes that were as large or larger than the effect sizes produced by univariate approaches. These results indicate that researchers could obtain larger effect sizes, and therefore greater statistical power, by using multivariate analysis of topographic voltage patterns instead of traditional univariate analyses in many ERP studies.

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Prioritizing flexible working memory representations through retrospective attentional strengthening

Cited by 10 publications

References 94 publications

Letter identification and spatial localization during visual working memory are enabled by unique sequences of stimulus-dependent neural operations

Letter identification and spatial localization during visual working memory are enabled by unique sequences of stimulus-dependent neural operations

Neural and behavioral evidence supporting the relationship between habitual exercise and working memory precision in healthy young adults

Using multivariate pattern analysis to increase effect sizes for event‐related potential analyses

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