EEG Wavelet Coherence Based Analysis of Neural Connectivity in Action Video Game Players in Attention Inhibition and Short-term Memoryretention Task

Author(s): Jupitara Hazarika*, Piyush Kant, Rajdeep Dasgupta, Shahedul Haque Laskar

Journal Name: Recent Advances in Electrical & Electronic Engineering
Formerly Recent Patents on Electrical & Electronic Engineering

Volume 12 , Issue 4 , 2019

Become EABM
Become Reviewer
Call for Editor

Graphical Abstract:


Background: The involvement in action video gaming alters the cognitive abilities and hence affects the neural functionality. Electroencephalogram (EEG) favorably provides the measure. Wavelet coherence, which is a wavelet transform based feature that provides useful information regarding synchronized activity between two signals. It does not depend on the stationarity of the signal and hence very much relevant for non-stationary EEG application.

Methods: We aimed to examine how the task-related synchronization pattern of action video game players (AVGPs) differs from non-AVGPs. EEG data were collected from thirty-five young and healthy male participants while performing an attention inhibition task and a visuospatial short-term memory-retention task. The sub-frequency components, theta, alpha, beta and gamma bands of EEG were extracted using Discrete wavelet transform (DWT). The intra and inter-hemispheric coherence in EEG sub-frequency bands were assessed as a feature for the analysis.

Results: Theta, alpha, beta and gamma coherence has shown a significant difference (p<0.05) between AVGPs and non-AVGPs in both the visuo-spatial tasks in intra and inter-hemispheric functionality. More than 90% classification accuracies are achieved with ANFIS algorithm. Results also indicate that frontoparietal connectivity is significantly improved in AVGPs in both the visual sensory tasks considered.

Conclusion: These EEG based analysis reports enhanced neural communication with improved attention inhibition and short-term memory retention in AVGPs. Result also established the Wavelet coherence as an effective tool in understanding the neural communication among different brain locations.

Keywords: Attention inhibition, short-term memory retention, EEG, neural connectivity, action video games, Wavelet transform.

C.S. Green, and D. Bavelier, "ScienceDirect Action video game training for cognitive enhancement", Curr. Opin. Behav. Sci., vol. 4, pp. 103-108, 2015.
R.J. Li, U. Polat, W. Makous, and D. Bavelier, "Enhancing the contrast sensitivity function through action video game training", Nat. Neurosci., vol. 12, pp. 549-551, 2009.
C.S. Green, T. Gorman, and D. Bavelier, "Action video-game training and its effects on perception and attentional control, In:", Cognitive Training: An Overview of Features and Applications. Cham: Springer International Publishing, 2016, pp. 107-116.
M.S. Cain, A.N. Landau, and A.P. Shimamura, "Action video game experience reduces the cost of switching tasks", Atten. Percept. Psychophys., vol. 74, pp. 641-647, 2012.
P. Belchior, M. Marsiske, S.M. Sisco, A. Yam, D. Bavelier, K. Ball, and W.C. Mann, "Video game training to improve selective visual attention in older adults", Comput. Human Behav., vol. 29, pp. 1318-1324, 2013.
K.J. Blacker, K.M. Curby, E. Klobusicky, and J.M. Chein, "Effects of action video game training on visual working memory", J. Exp. Psychol. Hum. Percept. Perform., vol. 40, pp. 1992-2004, 2014.
A.F. McDermott, D. Bavelier, and C.S. Green, "Memory abilities in action video game players", Comput. Human Behav., vol. 34, pp. 69-78, 2014.
Y. Chen, "Q. Zhao, J. Li, B. Hu, H. Jiang, and W. Lin, A method of removing Ocular Artifacts from EEG using discrete wavelet transform and kalman filtering, In:", Proc. - 2016 IEEE Int. Conf. Bioinforma. Biomed. BIBM 2016. Shenzhen, China, pp. 2017, 1485-1492.
A. Subasi, and M.I. Gursoy, "EEG signal classification using PCA, ICA, LDA and support vector machines", Expert Syst. Appl., vol. 37, pp. 8659-8666, 2010.
Y.T. Qassim, T.R.H. Cutmore, D.A. James, and D.D. Rowlands, "Wavelet coherence of EEG signals for a visual oddball task", Comput. Biol. Med., vol. 43, pp. 23-31, 2013.
M. Teplan, "Fundamentals of EEG measurement", Meas. Sci. Rev., vol. 2, pp. 1-11, 2002.
X. Liu, J. Liu, F. Duan, R. Liu, S. Gai, S. Xu, J. Sun, and X. Cai, "Inter-hemispheric frontal alpha synchronization of event-related potentials reflects memory-induced mental fatigue", Neurosci. Lett., vol. 653, pp. 326-331, 2017.
P. Sauseng, B. Griesmayr, R. Freunberger, and W. Klimesch, "Neuroscience and biobehavioral reviews control mechanisms in working memory : A possible function of EEG theta oscillations", Neurosci. Biobehav. Rev. pp. 6-13, 2010.
T.A. Rihs, C.M. Michel, and G. Thut, "Mechanisms of selective inhibition in visual spatial attention are indexed by 〈-band EEG synchronization", Eur. J. Neurosci., vol. 25, pp. 603-610, 2007.
T. Womelsdorf, and P. Fries, "The role of neuronal synchronization in selective attention", Curr. Opin. Neurobiol., vol. 17, pp. 154-160, 2007.
W.H.R. Miltner, C. Braun, M. Arnold, H. Witte, and E. Taub, "Coherence of gamma-band EEG activity as a bais or associative learning", Nat. Lett., vol. 397, pp. 434-436, 1999.
W. Klemm, and T. Li, "J. H.-C. and Cognition, and U. 2000, “Coherent EEG indicators of cognitive binding during ambiguous figure tasks", Conscious. Cogn., vol. 9, pp. 66-85, 2000.
C. Babiloni, F. Babiloni, F. Carducci, F. Cincotti, F. Vecchio, B. Cola, S. Rossi, C. Miniussi, and P.M. Rossini, "Functional frontoparietal connectivity during short-term memory as revealed by high-resolution eeg coherence analysis", Behav. Neurosci., vol. 118, pp. 687-697, 2004.
C. Summerfield, and J.A. Mangels, "Functional coupling between frontal and parietal lobes during recognition memory", Neuroreport, vol. 16, pp. 117-122, 2005.
M. Salminen, J.M. Kivikangas, N. Ravaja, and K. Kallinen, "Frontal EEG asymmetry in the study of player experiences during competitive and cooperative dual play", IADIS Int. Conf. Game Entertain. Technol.. pp. 44-50, 2009.
M. Shin, R. Heard, C. Suo, and C.M. Chow, "Positive emotions associated with ‘counter-strike’ game playing", Games Health J., vol. 1, pp. 342-347, 2012.
J.L. Alonso, and M.A. Guevara, "Increased prefrontal-parietal EEG gamma band correlation during motor imagery in expert video game players", Actualidades en Psicología., vol. 28, pp. 26-35, 2014.
A. Subasi, "Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction", Comput. Biol. Med., vol. 37, pp. 227-244, 2015.
E. Estrada, H. Nazeran, G. Sierra, F. Ebrahimi, and S.K. Setarehdan, "Wavelet-based EEG denoising for automatic sleep stage classification, In:", 21st International Conference on Electrical Communications and Computers (CONIELECOMP). San Andres Cholula, Mexico, 2011.
J-A. Jianga, C-F. Chaoa, M-J. Chiub, R-G. Leec, C-L. Tsengd, and R. Lina, "An automatic analysis method for detecting and eliminating ECG artifacts in EEG", Comput. Biol. Med., vol. 37, pp. 1660-1671, 2007.
M.N. Tibdewal, M. Mahadevappa, A.K. Ray, M. Malokar, and H.R. Dey, "Power line and ocular artifact denoising from EEG using Notch Filter and wavelet transform, In:", Proc. 10th Indiacom - 2016 3rd Int. Conf. Comput. Sustain. Glob. Dev. New Delhi, India, pp. 1654-1659, 2016.
D. Wang, D-Q. Miao, and R-Z. Wang, "A new method of EEG classification with feature extraction based on wavelet packet decomposition", Tien Tzu Hsueh Pao/Acta Electron. Sin. vol. 41, 2013.
J.P. Lachaux, A. Lutz, D. Rudrauf, D. Cosmelli, M. Le Van Quyen, J. Martinerie, and F. Varela, "Estimating the time-course of coherence between single-trial brain signals: An introduction to wavelet coherence", Neurophysiol. Clin. Neurophysiol., vol. 32, pp. 157-174, 2002.
A. Catarino, A. Andrade, O. Churches, A.P. Wagner, S. Baron-Cohen, and H. Ring, "Task-related functional connectivity in autism spectrum conditions: An EEG study using wavelet transform coherence", Mol. Autism, vol. 4, p. 1, 2013.
O. Faust, U.R. Acharya, H. Adeli, and A. Adeli, "Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis", Seizure, vol. 26, pp. 56-64, 2015.
C. Ieracitano, N. Mammone, F. La Foresta, and F.C. Morabito, "Investigating the brain connectivity evolution in AD and MCI patients through the EEG signals’ wavelet coherence, In", Smart Innovat., Syst. Technol. vol. 69, 2017, pp. 259-269.
Z. Sankari, H. Adeli, and A. Adeli, "Wavelet coherence model for diagnosis of Alzheimer Disease", Clin. EEG Neurosci., vol. 43, pp. 268-278, 2012.
İ. Güler, and E.D. Übeyli, "Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients", J. Neurosci. Methods, vol. 148, pp. 113-121, 2005.
W.Y. Hsu, "EEG-based motor imagery classification using neuro-fuzzy prediction and wavelet fractal features", J. Neurosci. Methods, vol. 189, pp. 295-302, 2010.
E.D. Übeyli, D. Cvetkovic, G. Holland, and I. Cosic, "Adaptive neuro-fuzzy inference system employing wavelet coefficients for detection of alterations in sleep EEG activity during hypopnoea episodes", Digit. Signal Process., vol. 20, pp. 678-691, 2010.
A. Subasi, "Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction", Comput. Biol. Med., vol. 37, pp. 227-244, 2007.
S.T. Mueller, and A.G. Esposito, "Computerized testing software for assessing interference suppression in children and adults: The Bivalent Shape Task (BST)", J. Open Res. Softw. vol. 2, pp. e3, 2014.
P. Toril, J.M. Reales, J. Mayas, and S. Ballesteros, "Video game training enhances visuospatial working memory and episodic memory in older adults", Front. Hum. Neurosci. vol. 10, 2016.
A. Vandierendonck, E. Kemps, M.C. Fastame, and A. Szmalec, "Working memory components of the Corsi blocks task", Br. J. Psychol., vol. 95, pp. 57-79, 2004.
S. Mallat, "A theory for multiresolution signal decomposition: The waveletrepresentation", Pami, vol. 11, pp. 674-693, 1989.
D. Donoho, "J.J.- Biometrika, and U. 1994, “Ideal spatial adaptation by wavelet shrinkage", Biometrika, vol. 83, pp. 425-455, 1994.
N. Al-Qazzaz, S. Hamid Bin Mohd Ali, S. Ahmad, M. Islam, and J. Escudero, "Selection of mother wavelet functions for multi-channel EEG signal analysis during a working memory task", Sensors, vol. 15, pp. 29015-29035, 2015.
M. Mamun, M. Al-Kadi, and M. Marufuzzaman, "Effectiveness of wavelet denoising on electroencephalogram signals", J. Appl. Res. Technol., vol. 11, pp. 156-160, 2013.
J-S. Jang, "ANFIS: Adaptive-network-based fuzzy inference system", IEEE Trans. Syst. Man Cybern., vol. 23, pp. 665-685, 1993.
A. Klein, T. Sauer, A. Jedynak, and W. Skrandies, "Conventional and wavelet coherence applied to sensory - evoked electrical brain activity", IEEE Trans. Biomed. Eng., pp. 1-12, 2004.
L.B. White, and B. Boashash, "Cross spectral analysis of nonstationary processes", IEEE Trans. Inf. Theory, vol. 36, pp. 830-835, 1990.
R.T. Knight, W. Richard Staines, D. Swick, and L.L. Chao, "Prefrontal cortex regulates inhibition and excitation in distributed neural networks", Acta Psychol. (Amst.), vol. 101, pp. 159-178, 1999.
T. Kolodny, C. Mevorach, and L. Shalev, "Isolating response inhibition in the brain: Parietal vs. frontal contribution", Cortex, vol. 88, pp. 173-185, 2016.
S.M. Szczepanski, C.S. Konen, and S. Kastner, "Mechanisms of spatial attention control in frontal and parietal cortex", J. Neurosci., vol. 30, pp. 148-160, 2010.
W.E. MacKey, and C.E. Curtis, "Distinct contributions by frontal and parietal cortices support working memory", Sci. Rep. vol. 7, 2017.
S. Nagamitsu, M. Nagano, Y. Yamashita, S. Takashima, and T. Matsuishi, "Prefrontal cerebral blood volume patterns while playing video games: A near-infrared spectroscopy study", Brain Dev., vol. 28, pp. 315-321, 2006.
J.D. Chisholm, and A. Kingstone, "Action video game players’ visual search advantage extends to biologically relevant stimuli", Acta Psychol. (Amst.), vol. 159, pp. 93-99, 2015.
A. Wr, "Beta activity : Attention Andrzej Wróbel a carrier for visual", Acta Neurobiol. Exp. (Wars.), vol. 60, no. 2, pp. 247-260, 2000.
Siuly. Y.L, and P. Wen, "Modified CC-LR algorithm with three diverse feature sets for motor imagery tasks classification in EEG based brain-computer interface", Comput. Methods Programs Biomed., vol. 113, pp. 767-780, 2014.
C.J. Stam, A.M. Van Cappellen van Walsum, and S. Micheloyannis, "Variability of EEG synchronization during a working memory task in healthy subjects", Int. J. Psychophysiol., vol. 46, pp. 53-66, 2002.
A.K. Engel, and P. Fries, "Beta-band oscillations-signalling the status quo?", Curr. Opin. Neurobiol., vol. 20, pp. 156-165, 2010.
O. Jensen, J. Kaiser, and J. Lachaux, "Human gamma oscillations associated with attention and memory", Trends Neurosci., vol. 30, pp. 317-324, 2007.
L.S. Colzato, W.P.M. van den Wildenberg, S. Zmigrod, and B. Hommel, "Action video gaming and cognitive control: Playing first person shooter games is associated with improvement in working memory but not action inhibition", Psychol. Res., vol. 77, pp. 234-239, 2013.
E.O. Flores-Gutiérrez, J.L. Díaz, F.A. Barrios, M.A. Guevara, Y. del Río-Portilla, M. Corsi-Cabrera, and E.O. del Flores-Gutiérrez, "Differential alpha coherence hemispheric patterns in men and women during pleasant and unpleasant musical emotions", Int. J. Psychophysiol., vol. 71, pp. 43-49, 2009.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2019
Published on: 22 August, 2019
Page: [324 - 338]
Pages: 15
DOI: 10.2174/2352096511666180821111536
Price: $25

Article Metrics

PDF: 15