Resting-State Neuronal Oscillatory Correlates of Working Memory Performance

Heister, David; Diwakar, Mithun; Nichols, Sharon L.; Robb, Ashley; Angeles, Anne Marie; Tal, Omer; Harrington, Deborah L.; Song, Tao; Lee, Roland R.; Huang, Mingxiong

doi:10.1371/journal.pone.0066820

Cited by 23 publications

(12 citation statements)

References 44 publications

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“…The above discussed results were confirmed by using individual (i.e., IAF-based) band definitions rather than fixed pre-defined frequency bands [ 55 ]. Similar results were described in our previous study, which compared the spectral power between children and adults using EEG [ 18 ], as well as in previous studies utilizing MEG [ 58 , 59 ]. Several EEG-fMRI studies have also shown absolute mean power differences between both EC and EO conditions during the resting state[ 60 , 61 ].…”

Section: Discussionsupporting

confidence: 88%

EEG-MEG Integration Enhances the Characterization of Functional and Effective Connectivity in the Resting State Network

et al. 2015

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At the sensor level many aspects, such as spectral power, functional and effective connectivity as well as relative-power-ratio ratio (RPR) and spatial resolution have been comprehensively investigated through both electroencephalography (EEG) and magnetoencephalography (MEG). Despite this, differences between both modalities have not yet been systematically studied by direct comparison. It remains an open question as to whether the integration of EEG and MEG data would improve the information obtained from the above mentioned parameters. Here, EEG (64-channel system) and MEG (275 sensor system) were recorded simultaneously in conditions with eyes open (EO) and eyes closed (EC) in 29 healthy adults. Spectral power, functional and effective connectivity, RPR, and spatial resolution were analyzed at five different frequency bands (delta, theta, alpha, beta and gamma). Networks of functional and effective connectivity were described using a spatial filter approach called the dynamic imaging of coherent sources (DICS) followed by the renormalized partial directed coherence (RPDC). Absolute mean power at the sensor level was significantly higher in EEG than in MEG data in both EO and EC conditions. At the source level, there was a trend towards a better performance of the combined EEG+MEG analysis compared with separate EEG or MEG analyses for the source mean power, functional correlation, effective connectivity for both EO and EC. The network of coherent sources and the spatial resolution were similar for both the EEG and MEG data if they were analyzed separately. Results indicate that the combined approach has several advantages over the separate analyses of both EEG and MEG. Moreover, by a direct comparison of EEG and MEG, EEG was characterized by significantly higher values in all measured parameters in both sensor and source level. All the above conclusions are specific to the resting state task and the specific analysis used in this study to have general conclusion multi-center studies would be helpful.

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Section: Discussionsupporting

confidence: 88%

EEG-MEG Integration Enhances the Characterization of Functional and Effective Connectivity in the Resting State Network

et al. 2015

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“…This finding is similar to observations in young adults under basal conditions. In fact, it has been shown that better performance in a three-back verbal working memory task is related to higher theta activity recorded under basal conditions (Heister et al 2013). Thus, the increase of these low levels of theta activity under incidental memory and intentional learning observed in mature adults under basal and incidental learning could be an EEG correlate of neural processes that account for the mature adults' performance under incidental memory and intentional learning conditions.…”

Section: Discussionmentioning

confidence: 97%

Differences in EEG power in young and mature healthy adults during an incidental/spatial learning task are related to age and execution efficiency

López-Loeza

Rangel-Argueta

López-Vázquez

et al. 2016

AGE

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The differential characteristics of absolute power in the EEG theta (4-8 Hz) and gamma (30-45 Hz) frequency bands have been analysed in young (18-25 years old, n = 14) and mature adults (45-65 years old, n = 12) during the incidental or intentional behavioural conditions of learning and recalling in a visuospatial task. A printed drawing of a maze including eight figures of common objects in specific placements, solved by connecting its entrance and exit points, allowed the subject's performance efficiency to be measured based on the number, position accuracy and/or identity of incidentally or intentionally learned and remembered objects. Meanwhile, EEG recordings from frontal, parietal and temporal derivations were obtained to determine the power values of the theta (4-8 Hz) and gamma (30-45 Hz) bands for each behavioural condition and derivation. Relative to the young adults, the mature adults generally showed lower absolute theta power values, mainly due to their low theta powers under the basal and incidental learning conditions, and higher absolute gamma power values in the frontal and temporal regions. Furthermore, higher theta band power in the frontal regions was related to higher performance efficiency in both incidental and intentional learning, regardless of the subjects' age. A significant negative correlation between the parameters of individual incidental or intentional learning performance and age was also found. Indeed, a differential accuracy of remembered information seems to be associated with age and incidental or intentional learning/memory testing conditions. These data support an increasing vulnerability of visuospatial learning abilities at mature ages and as ageing progresses.

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“…Traditionally, the EO-induced alpha suppression, also termed “alpha block” (Niedermeyer, 1999), has been interpreted as a replacement by higher frequencies which is indeed suggested by visual inspection of the raw EEG signal. However, numerical comparisons indicate a decrease in wideband power upon opening the eyes, albeit the decrease in the beta band is usually smaller than in the alpha band (Barry et al, 2007; Heister et al, 2013; Ishii et al, 2013). Overall, effects of the pharmacological manipulation with moderate alcohol intoxication were weaker than the EOC effects, with alcohol increasing power in alpha and beta bands, especially under the eyes-closed condition.…”

Section: Discussionmentioning

confidence: 98%

Oscillatory spatial profile of alcohol's effects on the resting state: Anatomically-constrained MEG

Rosen

O’Hara

Kovacevic

et al. 2014

Alcohol

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It has been firmly established that opening and closing the eyes strongly modulate the electro- and magnetoencephalography (EEG and MEG) signals acquired during wakeful rest. Certain features of the resting EEG are altered in chronic alcoholics and their offspring, and have been proposed as biomarkers for alcoholism. Spontaneous brain oscillations are also affected by pharmacological manipulations, but the spectral and spatial characteristics of these changes are not clear. This study examined effects of the eyes-open (EO) and eyes-closed (EC) resting paradigm and alcohol challenge on the spatial profile of spontaneous MEG and EEG oscillations. Whole-head MEG and scalp EEG signals were acquired simultaneously from healthy social drinkers (n = 17) who participated in both alcohol (0.6 g/kg ethanol for men, 0.55 g/kg for women) and placebo conditions in a counterbalanced design. Power of the signal was calculated with Fast Fourier Transform and was decomposed into its constituent theta (4–7 Hz), alpha (8–12 Hz), and beta (15–20 Hz) frequency bands. High-resolution structural MRI images were additionally obtained from all participants and used to constrain distributed minimum norm inverse source power estimates. The spatial estimates of the main generator nodes were in agreement with studies using a combined fMRI-EEG approach. Alpha band oscillations dominated the spectral profile and their source was estimated to the medial parieto-occipital area. Power in theta and beta bands was weaker overall and their sources were estimated to a more focal medial prefrontal area. EO and EC manipulation most strongly modulated power in the alpha band, but a wide-band power increase was observed during the EC condition. Alcohol intoxication increased alpha power, particularly during the EC condition. Application of this methodology to cohorts of chronic alcoholics or individuals at risk could potentially provide insight into the neural basis of oscillatory differences that may be predictive of the vulnerability to alcoholism.

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Resting-State Neuronal Oscillatory Correlates of Working Memory Performance

Cited by 23 publications

References 44 publications

EEG-MEG Integration Enhances the Characterization of Functional and Effective Connectivity in the Resting State Network

EEG-MEG Integration Enhances the Characterization of Functional and Effective Connectivity in the Resting State Network

Differences in EEG power in young and mature healthy adults during an incidental/spatial learning task are related to age and execution efficiency

Oscillatory spatial profile of alcohol's effects on the resting state: Anatomically-constrained MEG

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