RELATIONSHIPS BETWEEN THE ATTENTION NETWORK FUNCTIONING AND SPONTANEOUS EEG ACTIVITY IN PATIENTS WITH CORONARY ARTERY DISEASE
https://doi.org/10.15372/SSMJ20190208
Abstract
The cognitive decline in cardiac patients may be associated with insufficiency of the cerebral blood supply and inhibition of the brain functional state that manifested as a slowing of spontaneous EEG activity. On the other hand, the attention networks functioning is closely related to the theta oscillatory activity. We have studied the relationship between background theta activity (4-6 Hz) and attentiveness networks functioning in patients with severe coronary artery disease (CAD). Material and methods. We evaluated the parameters of alerting, orienting and executive control using the attention network test (ANT) in 41 CAD patients. Resting-state EEG with closed and open eyes also was recorded from 62 channels positioned according to the International 10–20 system. Spectral EEG power was calculated for frequencies from 0.1 to 50 Hz. Statistical analysis was done using Statistica 10 software package. Results and discussion. The regression analysis revealed positive associations of alerting and the theta rhythm (4-6 Hz) power with eyes closed in the right central and temporal brain regions. Negative relationships between the alerting system and the theta rhythm power in the right frontal and left occipital sites were obtained. Orienting system was positively related to the theta reactivity in the left temporo-parietal and right central brain areas; a negative relationship was established for the right occipital site. The executive control correlated negatively with the reactivity of the theta power in the right frontal and left parietal areas of the cortex, positively – right central region. It was demonstrated that attention disorders in CAD patients are associated with theta activity changes, predominantly in the right hemisphere. The study of EEG resting-state parameters can be useful for predicting impaired attention in patients with cardiovascular diseases.
About the Authors
I. V. Tarasova
Research Institute for Complex Issues of Cardiovascular Diseases
Russian Federation
Russian Federation
doctor of medical sciences, leading researcher of the laboratory of ultrasound and electrophysiological research methods of the department of diagnosis of cardiovascular diseases
650002, Kemerovo, Sosnovyi blvd., 6
N. V. Volf
Research Institute of Physiology and Basic Medicine
Russian Federation
Russian Federation
doctor of biological sciences, professor, head of laboratory of physiology of cognitive processes
630117, Novosibirsk, Timakov str., 4
O. L. Barbarash
Research Institute for Complex Issues of Cardiovascular Diseases
Russian Federation
Russian Federation
corresponding member of the RAS, doctor of medical sciences, professor, director
650002, Kemerovo, Sosnovyi blvd., 6
References
1. Барбараш О.Л., Зыков М.В., Кашталап В.В., Барбараш Л.С. Распространенность и клиническая значимость мультифокального атеросклероза у пациентов с ишемической болезнью сердца // Кардиология. 2011. 51. (8). 66–71.
2. Белоусова Л.В., Разумникова О.М., Вольф Н.В. Возрастные особенности связи интеллекта и характеристик ЭЭГ // Журн. высш. нерв. деятельности. 2015. 65. (6). 699–705.
3. Воронин Н.А. Современные представления о системах внимания // Соврем. зарубеж. психология. 2016. 5. (4). 67–76.
4. Пономарева Н.В., Клюшников С.А., Абрамычева Н.Ю., Малина Д.Д., Щеглова Н.С., Филиппова Ю.В., Фокин В.Ф., Иванова-Смоленская И.А., Тимербаева С.Л. Нейрофизиологические маркеры преклинической стадии болезни Гентингтона и их значение для диагностики и прогноза развития заболевания // Нерв. болезни. 2016. (2). 2–9.
5. Тарасова И.В., Вольф Н.В., Сырова И.Д., Барбараш О.Л., Барбараш Л.С. Умеренные когнитивные расстройства у пациентов с ишемической болезнью сердца: клинико-демографические и ЭЭГ-корреляты // Журн. неврологии и психиатрии. 2014. 114. (12). 89–93.
6. Челяпина М.В., Шарова Е.В., Зайцев О.С. Синдром холинергической недостаточности при длительном угнетении сознания после тяжелой черепно-мозговой травмы // Журн. неврологии и психиатрии. 2016. 116. (7). 17–24.
7. Adólfsdóttir S., Sørensen L., Lundervold A.J. The attention network test: a characteristic pattern of deficits in children with ADHD // Behav. Brain. Funct. 2008. 4. 9. https://doi.org/10.1186/1744-9081-4-9
8. Babiloni C., Del Percio C., Boccardi M., Lizio R., Lopez S., Carducci F., Marzano N., Soricelli A., Ferri R., Triggiani A.I., Prestia A., Salinari S., Rasser P.E., Basar E., Famà F., Nobili F., Yener G., Emek-Savaş D.D., Gesualdo L., Mundi C., Thompson P.M., Rossini P.M., Frisoni G.B. Occipital sources of resting-state alpha rhythms are related to local gray matter density in subjects with amnesic mild cognitive impairment and Alzheimer’s disease // Neurobiol. Aging. 2015. 36. (2). 556–570.
9. Beurskens R., Helmich I., Rein R., Bock O. Age-related changes in prefrontal activity during walking in dual-task situations: a fNIRS study // Int. J. Psychophysiol. 2014. 92. (3). 122–128.
10. Borghini G., Astolfi L., Vecchiato G., Mattia D., Babiloni F. Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness // Neurosci. Biobehav. Rev. 2014. 44. 58–75.
11. Caravaglios G., Muscoso E.G., Di Maria G., Costanzo E. Theta responses are abnormal in mild cognitive impairment: evidence from analysis of theta event-related synchronization during a temporal expectancy task // J. Neural. Transm. (Vienna). 2013. 120. (7). 1093–1107.
12. Cross-Villasana F., Gröpel P., Ehrlenspiel F., Beckmann J. Central theta amplitude as a negative correlate of performance proficiency in a dynamic visuospatial task // Biol. Psychol. 2018. 132. 37–44.
13. De la Torre J.C. Cerebral hemodynamics and vascular risk factors: setting the stage for Alzheimer’s disease // J. Alzheimers Dis. 2012. 32. (3). 553–567.
14. D’Onofrio G., Panza F., Sancarlo D., Addante F., Solfrizzi V., Cantarini C., Mangiacotti A., Lauriola M., Cascavilla L., Paris F., Lozupone M., Daniele A., Greco A., Seripa D. Executive dysfunction detected with the frontal assessment battery in Alzheimer’s disease versus vascular dementia // J. Alzheimers Dis. 2018. 62. (2). 699–711.
15. Fan J., McCandliss B.D., Fossella J., Flombaum J.I., Posner M.I. The activation of attentional networks // Neuroimage. 2005. 26. (2). 471–479.
16. Fan J., McCandliss B.D., Sommer T., Raz A., Posner M.I. Testing the efficiency and independence of attentional networks // J. Cogn. Neurosci. 2002. 14. (3). 340–347.
17. Fries P. Rhythms for cognition: communication through coherence // Neuron. 2015. 88. (1). 220–235.
18. Gamboz N., Zamarian S., Cavallero C. Agerelated differences in the attention network test (ANT) // Exp. Aging Res. 2010. 36. (3). 287–305.
19. Grady C.L., Protzner A.B., Kovacevic N., Strother S.C., Afshin-Pour B., Wojtowicz M., Anderson J.A., Churchill N., McIntosh A.R. A multivariate analysis of age-related differences in default mode and task-positive networks across multiple cognitive domains // Cereb. Cortex. 2010. 20. (6). 1432–1447.
20. Hermens D.F., Soei E.X., Clarke S.D., Kohn M.R., Gordon E., Williams L.M. Resting EEG theta activity predicts cognitive performance in attentiondeficit hyperactivity disorder // Pediatr. Neurol. 2005. 32. (4). 248–256.
21. Karamacoska D., Barry R.J., Steiner G.Z. Resting state intrinsic EEG impacts on go stimulusresponse processes // Psychophysiology. 2017. 54. (6). 894–903.
22. Leto L., Feola M. Cognitive impairment in heart failure patients // J. Geriatr. Cardiol. 2014. 11. (4). 316–328.
23. Moretti D.V., Zanetti O., Binetti G., Frisoni G.B. Quantitative EEG markers in mild cognitive impairment: degenerative versus vascular brain impairment // Int. J. Alzheimers Dis. 2012. 2012. 917537.
24. Ohsugi H., Ohgi S., Shigemori K., Schneider E.B. Differences in dual-task performance and prefrontal cortex activation between younger and older adults // BMC Neurosci. 2013. 14. 10.
25. Posner M.I., Rothbart M.K. Temperament and brain networks of attention // Philos Trans. R. Soc. Lond. B. Biol. Sci. 2018. 373. (1744). 20170254.
26. Radanovic M., Pereira F.R., Stella F., Aprahamian I., Ferreira L.K., Forlenza O.V., Busatto G.F. White matter abnormalities associated with Alzheimer’s disease and mild cognitive impairment: a critical review of MRI studies // Expert Rev. Neurother. 2013. 13. (5). 483–493.
27. Serber S.L., Rinsky B., Kumar R., Macey P.M., Fonarow G.C., Harper R.M. Cerebral blood flow velocity and vasomotor reactivity during autonomic challenges in heart failure // Nurs. Res. 2014. 63. (3). 194–202.
28. Tang Y., Zhu Z., Liu Q., Li F., Yang J., Li F., Xing Y., Jia J. The efficacy of cognitive training in patients with vascular cognitive impairment, no dementia (the Cog-VACCINE study). study protocol for a randomized controlled trial // Trials. 2016. 17. (1). 392.
29. Togo F., Lange G., Natelson B.H., Quigley K.S. Attention network test: assessment of cognitive function in chronic fatigue syndrome // J. Neuropsychol. 2015. 9. (1). 1–9.
30. Van Dam N.T., Sano M., Mitsis E.M., Grossman H.T., Gu X., Park Y., Hof P.R., Fan J. Functional neural correlates of attentional deficits in amnestic mild cognitive impairment // PLoS One. 2013. 8. (1). e54035.
31. Van de Vijver I., Cohen M.X., Ridderinkhof K.R. Aging affects medial but not anterior frontal learningrelated theta oscillations // Neurobiol. Aging. 2014. 35. (3). 692–704.
32. Volf N.V., Gluhih A.A. Background cerebral electrical activity in healthy mental aging // Hum. Physiol. 2011. 37. (5). 559–567.
33. Wang D., Wang J., Jin C., Ji R., Wang A., Li X., Gao X., Wu S., Zhou Y., Zhao X. Asymptomatic extracranial artery stenosis and the risk of cardiovascular and cerebrovascular diseases // Sci. Rep. 2016. 6. 33960.
34. Wascher E., Rasch B., Sänger J., Hoffmann S., Schneider D., Rinkenauer G., Heuer H., Gutberlet I. Frontal theta activity reflects distinct aspects of mental fatigue // Biol. Psychol. 2014. 96. 57–65.
35. Williams R.S., Biel A.L., Wegier P., Lapp L.K., Dyson B.J., Spaniol J. Age differences in the Attention Network Test: Evidence from behavior and eventrelated potentials // Brain Cogn. 2016. 102. 65–79.
Review
Views:
358
Email this article 