2014, Number 3
<< Back Next >>
Investigación en Discapacidad 2014; 3 (3)
Electroencephalographic evolution in a patient with severe brain post-trauma sequelae
Brust-Carmona H, Galicia-Alvarado M, Mascher D, Sánchez-Quezada A, Alfaro-Belmont J, Pacheco MR, Yáńez O
Language: Spanish
References: 33
Page: 132-146
PDF size: 528.58 Kb.
ABSTRACT
Introduction: Cortical electrical oscillations result from potential variations of glioneuronal assemblies. In patients with sequelae of grey matter lesions, the absolute power (AP) of oscillations diminishes, and white matter lesions diminish local and distant modulation. Such sequelae are represented by modifications in the power spectrum, with low intensity and disorganization of the different frequencies and, hence, a diminution in passive and dynamic body posture, as well as in sensorial and cognitive processes.
Method: Descriptive, longitudinal study of five successive EEGs from a patient with a cerebral penetrating firearm injury in the left hemisphere (LH). We analyzed the EEG evolution along 7.5 months, starting four years after the trauma. The EEG was recorded with a Nicolet-One, placing the electrodes at the 10/20 distribution, impedance below 10 kΩ. The Fourier transform was applied to bipolar recordings of longitudinal lateral and parasagittal mountings.
Results: In the five recordings, average AP (AAP) of delta and theta were higher in the LH and remained at higher intensity than in the right hemisphere (RH). AAP of alpha and beta were higher in the RH and increased with time, particularly for alpha. The delta/alpha index was higher in the LH than in the RH. The patient regained his static and dynamic posture and improved in daily activities as well as in some cognitive processes.
Conclusion: Neuroplasticity processes, by restoring functional connections, reestablish gradually the syntonization of neuronal assemblies as measured by the diminution in the peaks of the spectrum and the increase in the AP of given frequencies, particularly of alpha.
REFERENCES
Poskanzer KE, Yuste R. Astrocytic regulation of cortical UP states. Proc Natl Acad Sci USA. 2011; 108 (45): 18453-18458.
Buxhoeveden DP, Casanova MF. The minicolumn hypothesis in neuroscience. Brain. 2002; 125: 935-951.
Llinás RR. The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function. Science. 1988; 242 (4886): 1654-1664.
Buzsáki G, Draguhn A. Neuronal oscillations in cortical networks. Science. 2004; 304: 1926-1929.
Başar E. A review of alpha activity in integrative brain function: fundamental physiology, sensory coding, cognition and pathology. Int J Psychophysiol. 2012; 86: 1-24.
Lopes da Silva F. Principles of neural coding from EEG signals. In: Quiroga R, Panzeri S. Principles of neural coding. Boca Raton, FL, USA: CRC Press, Taylor & Francis Group; 2013. pp. 431-447.
Buzsáki G. Coupling of systems by oscillations. In: Buzsáki G. Rhytms of the brain. London: Oxford University Press; 2006. pp. 334-356.
Fries P. A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trend Cogn Sci. 2005; 9 (10): 474-480.
Lopes da Silva 2013. Principles of neural coding from EEG signals. In: Quiroga R, Panzeri S. Principles of neural coding. Boca Raton, FL, USA: CRC Press, Taylor & Francis Group; 2013. pp. 431-447.
Engel AK, Fries P, Singer W. Dynamic predictions oscillations and synchrony in top-down processing. Nat Rev Neurosci. 2001; 2: 704-716.
Barman SM, Gebber GL. Role of ventrolateral medulla in generating the 10-Hz rhythm in sympathetic nerve discharge. Am J Physiol Regul Integr Comp Physiol. 2007; 62: R223-233.
Sakurai Y. Population coding by cell assemblies-what it really is in the brain. Neurosci Res. 1996; 26: 1-16.
Chelaru MI, Dragoi V. Efficient coding in heterogeneous neuronal populations. Proc Nat Acad Sci USA. 2008; 105: 16344-16349.
Tallon-Baundry C, Bertrand O, Fischer C. Oscillatory synchrony between human extrastriate areas during visual short/term memory maintenance. J Neurosci. 2001; 21: RC177: 1-5.
Squire LR, Kandel ER. Modifiable synapses for nondeclarative memory. In: Memory: from mind to molecules. 2nd. edition. Greenwood Village: Roberts and Company Publishers; 2009. pp. 25-49.
Catani M, Ffytche DH. The rises and falls of disconnection syndromes. Brain. 2005; 128 (Pt 10): 2224-2239. doi:10.1093/brain/awh622
Brust-Carmona H, Valadez G, Flores-Ávalos B, Martínez JA, Sánchez A, Rodríguez MA et al. Potencia absoluta de oscilaciones corticales y su distribución topográfica en una muestra de adultos jóvenes en vigilia inactiva y en atención inespecífica. Rev Invest Clin. 2013; 65: 52-64.
Nuwer MR, Hovda DA, Schrader LM, Vespa PM. Routine and quantitative EEG in mild traumatic brain injury. Clin Neurophysiol. 2005; 116: 2001-2025.
Gould E, Gross CG. Neurogenesis in adult mammals: some progress and problems. J Neurosci. 2002; 3: 619-623.
Bach-y-Rita P, Bach-y-Rita EW. Biological and psychosocial factors in recovery from brain damage in humans. Can J Psychol. 1990; 44: 148-165.
Grossberg S. The link between brain learning, attention, and consciousness. Conscious Cogn. 1999; 8: 1-44.
Rossetti AO, Urbano LA, Delodder F, Kaplan PW, Oddo M. Prognostic value of continuous EEG monitoring during therapeutic hypothermia after cardiac arrest. Crit Care. 2010; 14: R173. Disponible en: http://ccforum.com/content/14/5/R173
Accolla EA, Kaplan PW, Maeder-Ingvar M, Jukopila S, Rossetti AO. Clinical correlates of frontal intermittent rhythmic delta activity (FIRDA). Clin Neurophysiol. 2011; 122: 27-31
Steriade M, Amzica F, Contreras D. Synchronization of fast (30-40 Hz) spontaneous cortical rhythms during brain activation. J Neurosci. 1996; 16: 392-417.
Knyazev GG. EEG delta oscillations as a correlate of basic homeostatic and motivational processes. Neurosci Biobehav Rev. 2012; 36: 677-695.
Pfurstscheller G. The cortical activation model (CAM). Prog Brain Res. 2006; 59: 19-27.
Michels L, Muthuraman M, Lüchinger R, Martin E, Anwar AR, Raethjen J et al. Developmental changes of functional and directed resting-state connectivity associated with neuronal oscillations in EEG. Neuroimage. 2013; 81: 231-242.
Castellanos NP, Paúl N, Ordóńez VE, Demuynck O, Bajo R, Campo P et al. Reorganization of functional connectivity as a correlate of cognitive recovery in acquired brain injury. Brain. 2010; 133: 2365-2381.
Leon-Carrion J, Martin-Rodriguez JF, Damas-Lopez J, Barroso y Martin JM, Dominguez-Morales MR. Delta-alpha ratio correlates with level of recovery after neurorehabilitation in patients with acquired brain injury. Clin Neurophysiol. 2009; 120: 1039-1045.
Singer W. Synchronization of cortical activity and its putative role in information processing and learning. Annu Rev Physiol. 1993; 55: 349-374.
Fingelkurts AA, Fingelkurts AA, Bagnato S, Boccagni C, Galardi G. Dissociation of vegetative and minimally conscious patients based on brain operational architectonics: factor of etiology. Clin EEG Neurosci. 2013; 44: 209-220.
Kopell N, Kramer MA, Malerba P, Whittington MA. Are different rhythms good for different functions? Front Hum Neurosci. 2010; 4: 187.
Wröbel A. Beta activity: a carrier for visual attention. Acta Neurobiol Exp. 2000; 60: 247-260.