Evidence map›Paper›PMID 26175681›Full record

ArticleFrontiers in human neuroscience2015

Individual differences in oscillatory brain activity in response to varying attentional demands during a word recall and oculomotor dual task.

Gusang Kwon, Sanghyun Lim, Min-Young Kim, Hyukchan Kwon, Yong-Ho Lee, Kiwoong Kim, Eun-Ju Lee, Minah Suh

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gusang KwonCenter for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Sungkyunkwan University Suwon, South Korea ; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University Seoul, South Korea.
Sanghyun LimCenter for Biosignals, Korea Research Institute of Standards and Science Daejeon, South Korea ; Department of Medical Physics, University of Science and Technology Daejeon, South Korea.
Min-Young KimCenter for Biosignals, Korea Research Institute of Standards and Science Daejeon, South Korea.
Hyukchan KwonCenter for Biosignals, Korea Research Institute of Standards and Science Daejeon, South Korea.
Yong-Ho LeeCenter for Biosignals, Korea Research Institute of Standards and Science Daejeon, South Korea.
Kiwoong KimCenter for Biosignals, Korea Research Institute of Standards and Science Daejeon, South Korea ; Department of Medical Physics, University of Science and Technology Daejeon, South Korea.
Eun-Ju LeeSchool of Business, Sungkyunkwan University Seoul, South Korea.
Minah SuhCenter for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Sungkyunkwan University Suwon, South Korea ; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Science and Technology (SAIHST), Sungkyunkwan University Seoul, South Korea ; Department of Biomedical Engineering, Sungkyunkwan University Suwon, South Korea ; Department of Biological Science, Sungkyunkwan University Suwon, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every day, we face situations that involve multi-tasking. How our brain utilizes cortical resources during multi-tasking is one of many interesting research topics. In this study, we tested whether a dual-task can be differentiated in the neural and behavioral responses of healthy subjects with varying degree of working memory capacity (WMC). We combined word recall and oculomotor tasks because they incorporate common neural networks including the fronto-parietal (FP) network. Three different types of oculomotor tasks (eye fixation, Fix-EM; predictive and random smooth pursuit eye movement, P-SPEM and R-SPEM) were combined with two memory load levels (low-load: five words, high-load: 10 words) for a word recall task. Each of those dual-task combinations was supposed to create varying cognitive loads on the FP network. We hypothesize that each dual-task requires different cognitive strategies for allocating the brain's limited cortical resources and affects brain oscillation of the FP network. In addition, we hypothesized that groups with different WMC will show differential neural and behavioral responses. We measured oscillatory brain activity with simultaneous MEG and EEG recordings and behavioral performance by word recall. Prominent frontal midline (FM) theta (4-6 Hz) synchronization emerged in the EEG of the high-WMC group experiencing R-SPEM with high-load conditions during the early phase of the word maintenance period. Conversely, significant parietal upper alpha (10-12 Hz) desynchronization was observed in the EEG and MEG of the low-WMC group experiencing P-SPEM under high-load conditions during the same period. Different brain oscillatory patterns seem to depend on each individual's WMC and varying attentional demands from different dual-task combinations. These findings suggest that specific brain oscillations may reflect different strategies for allocating cortical resources during combined word recall and oculomotor dual-tasks.

Indexed as

alpha band desynchronizationdual-taskfrontal midline thetaMEG and EEGoculomotor taskword recall taskworking memory capacity

Identifiers

PMID26175681
PMCPMC4484223

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.