EEG-based brain connectivity analysis of working memory and attention

Recent research reveal that the Working Memory (WM) is more powerful than IQ as a predictor of academic success. However, there are factors that may influence WM performance, such as Attention. Although the impact of attention is well documented using ERPs; yet, the underlying brain connectivity of the interaction of these two constructs is not sufficiently understood. In this study, a Delay-Response task and electroencephalography (EEG) data are used to investigate the brain connectivity during two stages of Working Memory: Encoding and Maintenance. We have presented distraction in both stages, and a secondary task in maintenance stage. Scalp EEG data of 19 participants were recorded. These results not only reveal the underlying brain connectivity of each task, but also highlights the differences between distraction and multitasking. The results show significant brain connectivity changes in the frontal and occipital areas of the brain depending on the WM stage where the distraction is presented.

[1]  Adam Gazzaley,et al.  Neural Suppression of Irrelevant Information Underlies Optimal Working Memory Performance , 2009, The Journal of Neuroscience.

[2]  Charan Ranganath,et al.  Category expectation modulates baseline and stimulus-evoked activity in human inferotemporal cortex , 2009, Brain Research.

[3]  A. Nobre,et al.  Top-down modulation: bridging selective attention and working memory , 2012, Trends in Cognitive Sciences.

[4]  A. Treisman,et al.  Attentional demands predict short-term memory load response in posterior parietal cortex , 2009, Neuropsychologia.

[5]  Leslie G. Ungerleider,et al.  Increased Activity in Human Visual Cortex during Directed Attention in the Absence of Visual Stimulation , 1999, Neuron.

[6]  N. McNaughton,et al.  Frontal-midline theta from the perspective of hippocampal “theta” , 2008, Progress in Neurobiology.

[7]  Vangelis Sakkalis,et al.  Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG , 2011, Comput. Biol. Medicine.

[8]  T. Alloway Working Memory, but Not IQ, Predicts Subsequent Learning in Children with Learning Difficulties , 2009 .

[9]  T. Klingberg,et al.  Prefrontal cortex and basal ganglia control access to working memory , 2008, Nature Neuroscience.

[10]  Adam Gazzaley,et al.  Expectation-Driven Changes in Cortical Functional Connectivity Influence Working Memory and Long-Term Memory Performance , 2010, The Journal of Neuroscience.

[11]  E. Vogel,et al.  Interactions between attention and working memory , 2006, Neuroscience.

[12]  John Duncan,et al.  Shape-specific preparatory activity mediates attention to targets in human visual cortex , 2009, Proceedings of the National Academy of Sciences.

[13]  Michael Esterman,et al.  Perceptual expectation evokes category-selective cortical activity. , 2010, Cerebral cortex.

[14]  M. Chun Visual working memory as visual attention sustained internally over time , 2011, Neuropsychologia.

[15]  Maro G. Machizawa,et al.  Neural measures reveal individual differences in controlling access to working memory , 2005, Nature.

[16]  Adam Gazzaley,et al.  Early Top–Down Control of Visual Processing Predicts Working Memory Performance , 2010, Journal of Cognitive Neuroscience.

[17]  G. Mangun,et al.  Pre-target activity in visual cortex predicts behavioral performance on spatial and feature attention tasks , 2006, Brain Research.

[18]  B. Postle Working memory as an emergent property of the mind and brain , 2006, Neuroscience.

[19]  Adam Gazzaley,et al.  Functional interactions between prefrontal and visual association cortex contribute to top-down modulation of visual processing. , 2007, Cerebral cortex.

[20]  T. Alloway,et al.  Investigating the predictive roles of working memory and IQ in academic attainment. , 2010, Journal of experimental child psychology.