نقش پتانسیل های وابسته به رخداد در بررسی توجه انتخابی شنوایی

نوع مقاله: مقاله مروری

نویسندگان

1 جراح ومتخصص گوش وحلق و بینی، دانشیار دانشگاه علوم پزشکی ایران، تهران، ایران

2 دانشجوی دکتری شنوایی شناسی، دانشگاه علوم پزشکی ایران، تهران، ایران

چکیده

مقدمه و اهداف
توجه انتخابی به معنای توانایی ذهنی برای انتخاب اطلاعات مرتبط از وقایع اکوستیک اطراف و ممانعت از ورود محرک مداخله­گر می­باشد. چهار فرآیند اساسی در توجه نقش دارند که شامل حافظه فعال، انتخاب رقابتی، کنترل پایین­نورد و کنترل بالانورد می­باشد. پتانسیل­های وابسته به رخداد، ابزار مفید برای بررسی توجه هستند.
مواد و روش ها
در بررسی حاضر برخی مباحث مطرح شده در ارتباط با نقش ERP شنوایی در بررسی توجه انتخابی در مقالات از بانک­های اطلاعاتی ,Scopus PubMed، Google Scholar، Science Direct ازسال­های 1988 تا 2015 و با استفاده از کلیدواژه­های توجه انتخابی، پتانسیل­های وابسته به رخداد، حافظه در حال اجرا، کنترل بالانورد و کنترل پایین­نورد انتخاب و بررسی شدند.
نتیجه­ گیری
توجه شنوایی باعث انتخاب اطلاعات برای ورود به حافظه فعال می­شود و دسترسی به حافظه فعال از طریق قدرت محرک برای رقابت با سایر اطلاعات است. قدرت محرک به­صورت خودکار توسط فیلتر بالانورد بر اساس برجسته بودن محرک و سیگنال­های پایین­نورد ناشی از حافظه فعال تنظیم می­شود و کنترل ارادی توجه در چرخه حافظه فعال،کنترل حساسیت پایین­نورد و انتخاب رقابتی نمایان می­شود. این چارچوب به عنوان ابزاری برای بررسی و سهولت مطالعه سازوکارهای عصبی دخیل در توجه شنوایی به کمک پتانسیل­های برانگیخته است. دو الگوی مطرح در توجه انتخابی شنوایی، "فرضیه بهره" و "فرضیه رد" توجهی است که فرضیه بهره به نقش سطوح پایین و حلزون و فرضیه رد توجهی به نقش قشر در توجه می­پردازد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

The Role of ERP in Evaluation of Auditory Selective Attention

نویسندگان [English]

  • Abdollah Mousavi 1
  • parisa Rasouli fard 2
  • Leila Faraji 2
1 Otorhinolaryngologist, Associate Professor, Iran University of Medical Sciences, Tehran, Iran
2 PhD candidate of Audiology, Iran University of Medical Sciences, Audiology department, Tehran, Iran
چکیده [English]

Background and Aim: Auditory selective attention refers to the mental ability to resist distractor stimuli and to select relevant information from the surrounding acoustic events. Four processes are fundamental to attention: working memory, competitive selection, bottom-up, and top-down sensitivity control. ERP is a useful tool for evaluating selective attention.
Method: In the present review article, relevant topics on the role of ERP in evaluating selective attention was searched in Google Scholar, PubMed, Scopus, and ScienceDirect databases using keywords including selective attention, ERP, working memory, bottom up, and top down control between the years 1988 up to 2015.
Conclusion: Auditory attention selects the information to enter the working memory. Access to working memory is determined by the relative signal strengths of competing representations of information. Signal strength is modulated automatically by bottom-up salience filters and is modulated top-down by bias signals that are controlled by working memory and voluntary control of attention is mediated by a recurrent loop comprising working memory, top-down sensitivity control, and competitive selection. The framework for attention proposed in the current review is intended to act as a tool to facilitate the study of neural mechanisms underlying auditory attention by ERPs. Two principal models regarding auditory selective attention are “gain theory” and “attentional trace theory”, the first related to lower level and cochlea and the second to cortical level.

کلیدواژه‌ها [English]

  • Selective Attention
  • ERP
  • Working memory
  • Bottom-up Control
  • Top-down Control
  1. Knudsen EI. Fundamental Components of Attention. Annu Rev Neurosci. 2007; 30(1):57–78##
  2. Baddeley A. Working memory: looking back and looking forward. Nat Rev Neurosci. 2003; 4(10):829–39##
  3. Desimone R, Duncan J. Neural mechanisms of selective visual attention. Annu Rev Neurosci. 1995; 18(1):193–222##
  4. Egeth HE, Yantis S.Visual attention: control, representation, and time course. Annu Rev Psychol.1997; 48(1):269–97##
  5. Genovesio A, Brasted PJ, Wise SP. Representation of future and previous spatial goals by separate neural populations in prefrontal cortex. J Neurosci. 2006; 26(27):7305–16##
  6. Yoshida W, Ishii S. Resolution of uncertainty in prefrontal cortex. Neuron. 2006; 50(5):781–89##
  7. LaBar KS, Gitelman DR, Parrish TB, Mesulam M. Neuroanatomic overlap of working memory and spatial attention networks: A functional MRI comparison within subjects. Neuroimage. 1999; 10(6):695–704##
  8. Curtis CE. Prefrontal and parietal contributions to spatial working memory. Neuroscience. 2006; 139(1):173–80##
  9. Constantinidis C, Wang XJ. A neural circuit basis for spatial working memory. Neurosceintist. 2004; 6:553-565##
10. Itti L, Koch C. Computational modelling of visual attention. Nat Rev Neurosci. 2001; 2(3):194–203##

11. Bisley JW, Goldberg ME. Neuronal activity in the lateral intraparietal area and spatial attention. Science. 2003; 299(5603):81–86##

12. Remington RW, Johnston JC, Yantis S. Involuntary attentional capture by abrupt onsets. Percept Psychophys. 1992; 51(3):279–90##

13. McPeek RM, Keller EL. Deficits in saccade target selection after inactivation of superior colliculus. Nat Neurosci. 2004; 7(7):757–63##

14. Miller BT, D’Esposito M. Searching for the top in top-down control. Neuron. 2005; 48(4):535–38##

15. Andersen R, Meeker D, Pesaran B, Brezen B, Buneo C, Scherberger H. Sensorimotor transformations in the posterior parietal portex. In The Cognitive Neurosciences. 3th ed. Cambridge. 2004;463–74.##

16. Maunsell JH, Cook EP. The role of attention in visual processing. Philos Trans R Soc Lond B Biol Sci. 2002; 357(1424):1063–72##

17. Miller EK, Cohen JD. An integrative theory of prefrontal cortex function. Annu Rev Neurosci. 2001;24(1):167–202##

18. Näätänen R. Attention and Brain Function. Hillsdale,NJ:1992;494##

19. Giard MH, Fort A, Rostaing YM, Pernier J. Neurophysiological Mechanism Of Auditory Selective Attention In Humans. Frontiers in Bioscience. 2000; 5(1): 84-94##

20. Woldorff MG, Hillyard SA. Modulation of early auditory processing during selective listening to rapidly presented tones. Electroenceph clin Neurophysiol. 1991; 79(3):170-191##

21. Woldorff MG, Gallen CC, Hampson SA, Hillyard SA, Pantev C, Sobel D , Bloom FE. Modulation of early sensory processing in human auditory cortex during auditory selective attention. Proc Natl Acad Sci U S A. 1993; 90(18):8722-8726##

22. Näätänen R. The role of attention in auditory information processing as revealed by event-related potentials and other brain measures of cognitive function. Behav Brain Sci. 1990; 13(2):201-233##

23. Lange k. The ups and downs of temporal orienting: a review of auditory temporal orienting studies and a model associating the heterogeneous findings on the auditory N1 with opposite effects of attention and prediction. Front Hum Neurosci. 2013; 7: 26##

24. Woodman GF. A brief introduction to the use of event-related potentials in studies of perception and attention. Percept Psychophys. 2010; 72 (8): 2031-2046##

25. Everling S, Tinsley CJ, Gaffan D, Duncan J. Filtering of neural signals by focused attention in the monkey prefrontal cortex.2002. Nat. Neurosci. 2002; 5(7):671–67##

26. Alho K, Teder w, Lavikainen J, Naatanen R. Strongly focused attention and auditory event-related potentials. Biol Psychol. 1994; 38(1):73-90##

27. Warren EH, Liberman MC. Effects of contralateral sound on auditory-nerve responses. II: Dependence on stimulus variables. Hear Res. 1989; 37(2):105-121##

28. Collet L, Hellal H, Chanal JM , Morgon A. Are BAEP and MLR suited for the study of an hypothetical peripheral selective attention effect? Int J Neurosci.1988; 41(1-2):97-102##

 

29. Veuillet E, Collet L, Duclaux R. Effect of contralateral acoustic stimulation on active cochlear micromechanical properties in human subjects: dependence on stimulus variables. J Neurophysiol.1991; 65(3):724-735##

 

30. Patel1 SH, Azzam PN. Characterization of N200 and P300: Selected Studies of the Event-Related Potential. Int J Med Sci. 2005; 2(4):147-154##

31. Schröger E, Bendixen A, Denham SL, Mill.RW, Bo˝hm TM, Winkler I. Predictive regularity representations inviolation detection and auditory stream segregation: From conceptual to computational models. Brain Topography. 2014; 27(4):565-577##

32. Berti S, Roeber U, Schröger E. Bottom-up influences on working memory: Behavioral and electrophysiological distraction varies with distractor strength. Experimental Psychology.2004; 51(4):249–257##

33. Polich J. Updating P300: An integrative theory of P3a and P3b. Clinical Neurophysiology.2007; 118(10): 2128–2148##

34. Fellman V, Huotilainen M. Cortical auditory eventrelated potentials in newborn infants. Semin Fetal Neonatal Med. 2006; 11(6):452–458##

35. Mueller V, Brehmer Y, Von Oertzen T, Li SC, Lindenberger U. Electrophysiological correlates of selective attention: A lifespan comparison. BMC Neurosci.2008; 9(1):18##

36. VAN Dinteren R , Arns M, Jongsma MLA, Kessels RPC. P300 Development across the Lifespan: A Systematic Review and Meta-Analysis. PLoS One. 2014; 9(2): e87347##

37. Burkard RF. Principles and applications of cortical auditory evoked potentials. Auditory evoked potentials..william and wilkins.philadelphia. 2007:482-508##

38. Heidari F, Farahani S, MohammadKhani G, Jafarzadepour E, Jalaie S. Comparison of auditory event-related potential P300 in sighted and early blind individuals. Audiology. 2009;18(1):81-7.(in Persian)##

39. Kiss M, Driver J, Eimer M. Reward priority of visual target singletons modulates event-related potential signatures of attentional selection. Psychol Sci. 2009; 20(2):245–251.##

40. Gamble ML, Luck SJ. N2ac: An ERP component associated with the focusing of attention within an auditory scene. Psychophysiology. 2011; 48(8): 1057–1068##

41. Brent WE. Beyond amplification: Signal processing techniques for improving speech intelligibility innoise with hearing aids. Seminars in Hearing. 2000; 21(2):137–156.##

42. Scherer KR. Vocal correlates of emotion. Handbook of Psychophysiology: Emotion and Social Behavior. London. 1989; 165-197##

43. Gädeke JS , Föcker J , Röder B. Is the processing of affective prosody influenced by spatial attention? an ERP study. BMC Neuroscience .2013; 14(1):14##

44. Sander K, Scheich H. Auditory perception of laughing and crying activates human amygdala regardless of attentional state. Cogn Brain Res. 2001; 12(2):181-198.##

45. Grandjean D, Sander D, Lucas N, Scherer KR, Vuilleumier P: Effects of emotional prosody on auditory extinction for voices in patients with spatial neglect. Neuropsychologia. 2008; 46(2):487-496.##

46. Gais S, Born J. Declarative memory consolidation: mechanisms acting during human sleep. Learn Mem. 2004; 11(6),679-685.##

47. Zeroualia Y. Jemel B. Godbout R. The effects of early and late night partial sleep deprivation on automatic and selective attention: An ERP study. Brain Res. 2010; 1308:87-99##

48. Drummond SP, Brown GG, Salamat JS., Gillin JC. Increasing task difficulty facilitates the cerebral compensatory response to total sleep deprivation. Sleep. 2004; 27(3):445–451##

49. Bearden TS, Cassisi JE, White JN. Electrophysiological correlates of vigilance during a continuous performance test in healthy adults. Appl Psychophysiol Biofeedback. 2004; 29(3):175-188##

50. Jancke L, Mirzazade S, Shah NJ. Attention modulates activity in the primary and the secondary auditorycortex: a functional magnetic resonance imaging study in human subjects. Neurosci Lett. 1999; 266(2):125‌‌_128.##

51. Bidet-Caulet A, Mikyska C, Knight RT. Load effects In Auditory Selective Attention: Evidence for Distinct Facilitation And Inhibition Mechanisms. Neuroimagin. 2010; 50(1):277-284##

52. Degerman A, Rinne T, Sarkka AK, Salmi J, Alho K. Selective attention to sound location or pitch studied with event-related brain potentials and magnetic fields. Eur J Neurosci. 2008; 27(12):3329–3341.##

53. Melara RD, Rao A, Tong Y. The duality of selection: excitatory and inhibitory processes in auditory selective attention. J Exp Psychol Hum Percept Perform. 2002; 28(2):279–306##

54. Sussman ES. Attention Matters: Pitch vs. Pattern Processing in Adolescence. Front Psychol. 2013; 4(333):2##

55. Sussman ES, Gumenyuk V. Organization of sequential sounds in auditory memory. Neuroreport. 2005; 16(13):1519-1523##

56. Sussman ES. A new view on the MMN and attention debate: auditory context effects. Int J Psychophysiol. 2007; 21(3):164–175##

57. Ahveninena J, Hämäläinena M, Jääskeläinenc IP, Ahlforsa SP. Attention-driven auditory cortex short-term plasticity helps segregate relevant sounds from noise. PNAS. 2011; 108(10):4182-4187##

58. Kauramäki J, Jääskeläinen IP, Sams M. Selective attention increases both gain and feature selectivity of the human auditory cortex. PLOS ONE. 2007; 2(9): e909.##

59. Okamoto H, Stracke H, Wolters CH, Schmael F, Pantev C. Attention improves population-level frequency tuning in human auditory cortex. J Neurosci. 2007;27(39):10383–10390.##

60. Okamoto H, Stracke H, Zwitserlood P, Roberts LE, Pantev C. Frequency-specific modulation of population level frequency tuning in human auditory cortex. BMC Neurosci. 2009; 10(1):1–14.##

61. Rauschecker JP. Parallel processing in the auditory cortex of primates. Audiol Neuro otol. 1998; 3(2-3):86–103.##