Abstract
The study of the psychiatric disorder denominated Attention-deficit hyperactivity disorder (ADHD) demands the assessment of specific behavior, measured and evaluated through biomarkers like the neuroimaging that is applied due to the assumed association between with changes in the structure and function of the ADHD brain. Because of the provided time resolution, Electroencephalographic (EEG) signals and derived versions have recently gained increased attention for studying event-related potentials (ERPs). Moreover, relate to the ADHD diagnosis, techniques of EEG/ERP source imaging (ESI) are effective to locate brain areas related to attention task and analyze spatiotemporal patterns of the P300 wave. Therefore, with the aim to accurately determine the spatial location and temporal patterns involved in attention task, there is a need for implementing an adequate ERP marker able to incorporate the spatial and temporal prior information to the ESI solution. In this paper, the influence of the source reconstruction is evaluated on visual and auditory evoked potentials through an ESI solution, namely, Dynamic Sparse Coding that is based on physiological motivated spatio-temporal constraints over the source representation. As a result, the DSC-based approach improves the characterization of the spatio-temporal dynamics of the attentional evoked potentials processes, including reduced amplitudes in the P300 components of the ERPs in the ADHD group.
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References
Prince, J.: Catecholamine dysfunction in attention-deficit/hyperactivity disorder: an update. J. Clin. Psychopharmacol. 28(3), S39–S45 (2008)
Thome, J., Ehlis, A.-C., Fallgatter, A.J., Krauel, K., Lange, K.W., Riederer, P., Romanos, M., Taurines, R., Tucha, O., Uzbekov, M., et al.: Biomarkers for attention-deficit/hyperactivity disorder (ADHD). A consensus report of the WFSBP task force on biological markers and the world federation of ADHD. World J. Biol. Psychiatry 13(5), 379–400 (2012)
Cortese, S., Kelly, C., Chabernaud, C., Proal, E., Di Martino, A., Milham, M.P., Castellanos, F.X.: Toward systems neuroscience of ADHD: a meta-analysis of 55 fMRI studies. Am. J. Psychiatry (2012)
Johnstone, S.J., Barry, R.J., Clarke, A.R.: Ten years on: a follow-up review of ERP research in attention-deficit/hyperactivity disorder. Clin. Neurophysiol. 124(4), 644–657 (2013)
Szuromi, B., Czobor, P., Komlósi, S., Bitter, I.: P300 deficits in adults with attention deficit hyperactivity disorder: a meta-analysis. Psychol. Med. 41(07), 1529–1538 (2011)
Janssen, T.W.P., Geladé, K., van Mourik, R., Maras, A., Oosterlaan, J.: An ERP source imaging study of the oddball task in children with attention deficit/hyperactivity disorder. Clin. Neurophysiol. 127(2), 1351–1357 (2016)
Xu, L., Wu, T., Valdes-Sosa, P.A.: Incorporating priors for EEG source imaging and connectivity analysis. Front. Neurosci. 9 (2015)
Giraldo, E., Martinez-Vargas, J.D., Castellanos-Dominguez, G.: Reconstruction of neural activity from EEG data using dynamic spatio-temporal constraints. Int. J. Neural Syst. 26, 1650026 (2016)
Martínez-Vargas, J.D., Grisales-Franco, F.M., Castellanos-Dominguez, G.: Estimation of M/EEG non-stationary brain activity using spatio-temporal sparse constraints. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Toledo-Moreo, F.J., Adeli, H. (eds.) IWINAC 2015. LNCS, vol. 9107, pp. 429–438. Springer, Cham (2015). doi:10.1007/978-3-319-18914-7_45
Baillet, S., Mosher, J.C., Leahy, R.M.: Electromagnetic brain mapping. IEEE Sig. Process. Mag. 18, 14–30 (2001)
Grech, R., Cassar, T., Muscat, J., Camilleri, K., Fabri, S., Zervakis, M., Xanthopoulos, P., Sakkalis, V., Vanrumste, B.: Review on solving the inverse problem in EEG source analysis. J. NeuroEng. Rehabil. 5(25), 792–800 (2008)
Volpe, U., Mucci, A., Bucci, P., Merlotti, E., Galderisi, S., Maj, M.: The cortical generators of P3a and P3b: a loreta study. Brain Res. Bull. 73(4), 220–230 (2007)
Arnsten, A.F.T.: The use of \(\alpha \)-2a adrenergic agonists for the treatment of attention-deficit/hyperactivity disorder. Expert Rev. Neurother. 10(10), 1595–1605 (2010)
Vance, A., Silk, T.J., Casey, M., Rinehart, N.J., Bradshaw, J.L., Bellgrove, M.A., Cunnington, R.: Right parietal dysfunction in children with attention deficit hyperactivity disorder, combined type: a functional MRI study. Mol. Psychiatry 12(9), 826–832 (2007)
Hart, H., Radua, J., Nakao, T., Mataix-Cols, D., Rubia, K.: Meta-analysis of functional magnetic resonance imaging studies of inhibition and attention in attention-deficit/hyperactivity disorder: exploring task-specific, stimulant medication, and age effects. JAMA Psychiatry 70(2), 185–198 (2013)
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This work was supported by the research project 111956933522 founded by COLCIENCIAS.
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Grisales-Franco, F.M., Medina-Salcedo, J.M., Ovalle-Martínez, D.M., Martínez-Vargas, J.D., García-Murillo, D.G., Castellanos-Dominguez, G. (2017). EEG Source Imaging Based on Dynamic Sparse Coding as ADHD Biomarker. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Natural and Artificial Computation for Biomedicine and Neuroscience. IWINAC 2017. Lecture Notes in Computer Science(), vol 10337. Springer, Cham. https://doi.org/10.1007/978-3-319-59740-9_41
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