Neurophysiological maturation in adolescence – vulnerability and counteracting addiction to alcohol

Roman Chwedorowicz 1  ,  
Institute of Rural Health, Lublin, Poland
Institute of Physiology and Pathology of Hearing, Warsaw, Poland
Higher School of Humanities-Natural Sciences, Sandomierz, Poland
Ann Agric Environ Med 2017;24(1):19–25
The results of contemporary studies confirm the formation of two neural networks in the brain during the period of adolescence. The first is defined as emotional, located in the limbic system, develops earlier, quicker, and more intensively than the second one in the prefrontal cortex, called the judgement network, which fulfils the role of control and inhibition of emotional reactions. The domination of the emotional network in adolescence is manifested by hyperactivity of the limbic system, accompanied by intensified undertaking of courageous, reckless, risky, or even sometimes dangerous actions, so very characteristic in the maturation. The aim of the article is to present the state of the art in the field of latest achievements in experimental neurophysiology related to the maturation of the structural end functional processes in adolescents, and to alcohol vulnerability. Alcohol effect initiation starts in early adolescence, and therefore is connected with alcohol abuse and addiction in adulthood, which confirms the necessity for provision of an early prophylactic protection for juveniles, even before entering the phase of early adolescence. Some electrophysiological characteristics, such as low P3 amplitude of the Event-Related Potential (ERP) and Event-Related Oscillations (EROs), are manifested by their high risk offspring, and are considered to be biological markers (endophenotypes) of a predisposition to develop alcohol use disorders. Electroencephalographic oscillations induced within the range of the theta and delta waves (Event-Related Oscillation- ERO), considered as endophenotypes and markers of increased vulnerability for addiction, present three groups of genes and three types of neurotransmitters, with gamma aminobutyric acid, acetylcholine and glutamate as neurotransmitters in the central nervous system. A new research approach consisting in the application of electroencephalographic methods and techniques in developmental and genetic studies of the conditioning of varied vulnerability, and especially increased preferences for alcohol tasting and abuse in adolescence, provide unique possibilities for comprehensive and deepened studies which may contribute to the prevention of alcohol addiction, the genesis of which, to a great extent, is related with the effect of causative environmental and genetic factors during adolescent development.
Roman Chwedorowicz   
Institute of Rural Health, Lublin, Poland
1. Smetana JG, Campione-Barr N, Metzger A. Adolescent development in interpersonal and societal contexts. Ann Rev Psychol. 2006; 57: 255–284.
2. Casey BJ, Duhoux S, Cohen MM. Adolescence: what do transmission, transition, and translation have to do with it? Neuron. 2010; 67: 749–760.
3. Crone EA, Dahl RE. Understanding adolescence as a period of social-affective engagement and goal flexibility. Nature reviews. Neuroscience. 2012; 13: 636–650.
4. Spear LP. The adolescent brain and age-related behavioral manifestations. Neurosci Biobehav Rev. 2000; 24(4): 417–463.
5. Paus T. Mapping brain maturation and cognitive development during adolescence. Trends in Cognitive Sciences. 2005; 9: 60–68.
6. Casey BJ, Jones RM, Hare TA. The adolescent brain. Annals of the New York Academy of Sciences. 2008; 1124: 111–126.
7. Petit G, Kornreich C, Verbanck P, Cimochowska A, Campanella S. (2013). Why is adolescence a key period of alcohol initiation and who is prone to develop long-term problem use?: A review of current available data. Neurosci. Psychol. 2013; 3: 1–14.
8. Petit G, Kornreich C, Verbanck, Campanella S. Gender differences in reactivity to alcohol cues in binge drinkers: a preliminary assessment of event-related potentials. Psychiatry Res. 2013; 209(3): 494–503.
9. Kessler RC, Avenevoli S, Ries Merikangas K. Mood disorders in children and adolescents: an epidemiologic perspective. Biological Psychiatry 2001; 49: 1002–1014.
10. Andersen SL. Trajectories of brain development: point of vulnerability or window of opportunity? Neuroscience and Biobehavioral Reviews 2003; 27: 3–18.
11. Barbalat G, Domenech P, Vernet M, Fourneret P. Risk-taking in adolescence: A neuroeconomics approach. Encephale. 2010; 36(2): 147–154.
12. Grant B, Dawson DA. Age at onset of alcohol use and its association with DSM-IV alcohol abuse and dependence: results from the National Longitudinal Alcohol Epidemiological Survey. J Subst Abuse 1997; 9: 103–110.
13. Guerri C, Pascual M. Mechanisms involved in the neurotoxic, cognitive, and neurobehavioral effects of alcohol consumption during adolescence. Alcohol. 2010; 44: 15–26.
14. Petit G, Maurage P, Kornreich C, Verbanck P, Campanella S. Binge Drinking in Adolescents: A Review of Neurophysiological and Neuroimaging Research. Alcohol Alcohol. 2014; 49: 198–206.
15. Pawlowska-Kamieniak A, Mroczkowska-Juchkiewicz A, Kominek K, Krawiec P, Melges B, Pac-Koźuchowska E. Alcohol intoxication among children in urban and rural environments-retrospective analysis. J P-Clin Clin Res. 2015; 9(2) (in press).
16. Ernst M, Korelitz KE. Cerebral maturation in adolescence: behavioral vulnerability. Encephale. 2009; 35(Suppl. 6): S182–9.
17. Schmitt JE, Neale MC, Fassassi B, Perez J, Lenroot RK, Wells EM, Giedd JN. The dynamic role of genetics on cortical patterning during childhood and adolescence. Proc Natl Acad Sci USA 2014; 111(18): 6774–6779.
18. Giedd JN. The amazing teen brain. Scientific American. 2015; 312(6): 20–25.
19. Gogtay N, Giedd JN, Lusk L, Hayashi KM, Greenstein D, Vaituzis AC. Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of Sciences of the United States of America 2004; 101: 8174–8179.
20. Crews F, He J, Hodge C. Adolescent cortical development: a critical period of vulnerability for addiction. Pharm Biochem Behav. 2007; 86: 189–199.
21. Davey ChG, Yücel M, Allen NB. The emergence of depression in adolescence: Development of the prefrontal cortex and the representation of reward. Neuroscience and Biobehavioral Reviews 2008; 32: 1–19.
22. Konrad K, Firk Ch, Uhlhaas PJ. Brain Development During Adolescence Neuroscientific Insights Into This Developmental Period. Dtsch Arztebl Int. 2013; 110: 425–431.
23. Paus T, Zijdenbos A, Worsley K, Collins DL, Blumenthal J, Giedd JN. Structural maturation of neural pathways in children and adolescents: in vivo study. Science. 1999; 283: 1908–1911.
24. Nelson EE, Leibenluft E, McClure EB, Pine DS. The social re-orientation of adolescence: a neuroscience perspective on the process and its relation to psychopathology. Psychological Medicine 2005; 35: 163–174.
25. Toga AW, Thompson PM, Sowell ER. Mapping brain maturation. Trends in Neurosciences 2006; 29: 148–159.
26. Winpenny EM, Marteau TM, Nolte E. Exposure of Children and Adolescents to Alcohol Marketing on Social Media Websites. Alcohol and Alcoholism 2014; 49(2): 154–159.
27. Maldonado-Devincci AM, Badanich KA, Kirstein CL. Alcohol during adolescence selectively alters immediate and long-term behavior and neurochemistry. Alcohol. 2010; 44: 57–66.
28. Nasrallah NA, Clark JJ, Collins AL, Akers CA, Phillips P, Bernstein IL. Risk preference following adolescent alcohol use is associated with corrupted encoding of costs but not rewards by mesolimbic dopamine. Proc Natl Acad Sci USA. 2011; 108: 5466–71.
29. Vega WA, Aguilar-Gaxiola S, Andrade L. Prevalence and age of onset for drug use in seven international sites: results from the international consortium of psychiatric epidemiology. Drug and Alcohol Dependence 2002; 68: 285–297.
30. Forbes EE, Dahl RE. Neural Systems of Positive Affect: Relevance to Understanding Child and Adolescent Depression? Dev Psychopathol. 2005; 17: 827–850.
31. Windle M, Spear LP, Fuligni AJ, Angold A, Brown JD, Pine D, Smith GT, Giedd J, Dahl RE. Transitions into underage and problem drinking: developmental processes and mechanisms between 10 and 15 years of age.
32. Philpot RM, Wecker L, Kirstein CL. Repeated ethanol exposure during adolescence alters the developmental trajectory of dopaminergic output from the nucleus accumbens septi. Int J Dev Neurosci. 2009; 27: 805–815.
33. Goldstein RZ, Volkow ND. Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nature Reviews, Neuroscience. 2011; 12: 652–669.
34. Spear LP. The adolescent brain and age-related behavioral manifestations. Neurosci Biobehav Rev. 2015; 24: 417–463.
35. DeWit DJ, Adlaf EM, Offord DR, Ogborne AC. Age at First Alcohol Use: A Risk Factor for the Development of Alcohol Disorders. Am J Psychiatry. 2000; 157: 745–750.
36. Handy TC. Event-Related Potentials, A methods Handbook. ed. by Todd C. Handy. Massachusetts Institute of Technology, 2005.
37. Kropotov JD. Quantitative EEG, Event-Related Potentials and Neurotherapy. Academic Press, San Diego, USA, 2009.
38. Picton TW. The P300 Wave of the Human Event-Related Potential. J Clin Neurophysiol. 1992; 9(4): 456–479.
39. Porjesz B, Begleiter H. Genetic basis of event-related potentials and their relationship to alcoholism and alcohol use. J Clin Neurophysiol. 1998; 15: 1–44.
40. Begleiter H, Porjesz B, Bihari B, Kissin B. Event-related brain potentials in boys at risk for alcoholism. Science. 1984; 225: 1493–1496.
41. Porjesz B, Rangaswamy M. Neurophysiological endophenotypes, CNS disinhibition, and risk for alcohol dependence and related disorders. Scientific World Journal 2007; 7: 131–141.
42. Gottesman II, Goud TD. The endophenotypes concept in Psychiatry: etymology and strategic intentions. Am J Psychiatry. 2003; 160: 636–645.
43. Yann Le Strat, et al. Molecular Genetics of Alcohol Dependence and Related Endophenotypes. Current Genomics. 2008; 9: 444–451.
44. Devor EJ, Cloniger CR. Genetics of alcoholism. Annu Rev Genet. 1989; 23: 19–36.
45. Jonkman LM, Kemner C, et al. Attentional capacity, a probe ERP study: Differences between children with attention – deficit hyperactivity disorder and normal control children and effects of methylphenidate. Psychophysiology 2000; 37: 334–336.
46. Dick DM, Jones K, et al. Endophenotypes successfully lead to gene identification: results from the collaborative study on the genetics of alcoholism. Behav Gen 2006; 36: 112–126.
47. Frodl-Bauch T, Bottlender R, Hegerl U. Neurochemical substrates and neuroanatomical generators of the event-related P300. Neuro-psychobiology 1999; 40: 86–94.
48. Rangaswamy M, Porjesz B, Chorlian DB, Wang K, Jones KA, Kuperman S, Rohrbaugh J, O’Connor SJ, Bauer LO, Reich T, Begleiter H. Resting EEG in offspring of male alcoholics: beta frequencies. Int J Psychophysiol. 2004; 51: 239–251.
49. Jones KA, Porjesz B, Almasy L, et al. A cholinergic receptor gene (CHRM2) affects eventrelated oscillations. Behav Genet. 2006; 36(5): 627–639.
50. Jones KA, Porjes B, Rangaswam M, Kamaraja C, Padmanabhapillai A, Chorlian D, Stimus A, Begleiter H. S-transform time-frequency analysis of event-related oscillations reveals multiple P300 source deficits in individuals diagnosed with alcoholism. Clin Neurophysiol. 2006; 117: 2128–2143.
51. Rangaswamy M, Jones KA, Porjesz B, Chorlian DB, Padmanabhapillai A, Kamarajan C, Kuperman S, Rohrbaugh J, O’Connor SJ, Bauer LO, Schuckit MA, Begleiter H. Delta and theta oscillations as risk markers in adolescent offspring of alcoholics. Int J Psychophysiol. 2007; 63(1): 3–15.
52. Apergis-Schoute J, Pinto A, Pare D. Muscarinic control of long-range GABAergic inhibition within the rhinal cortices. J Neurosci. 2007; 27(15): 4061–4071.
53. Jones KA, Porjesz B, Almasy L, et al. Linkage and linkage disequilibrium of evoked EEG oscillations with CHRM2 receptor gene polymorphisms: implications for human brain dynamics and cognition. Int J Psychophysiol. 2004; 53: 75–90.
54. Andrew C, Fein G. Induced theta oscillations as biomarkers for alcoholism. Clin Neurophysiol. 2010; 121(3): 350–358.