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Central Auditory Processing: From Molecule to Behavior Central Auditory Processing: From Molecule to Behavior

Central Auditory Processing: From Molecule to Behavior - PowerPoint Presentation

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Central Auditory Processing: From Molecule to Behavior - PPT Presentation

Patrick C M Wong The Chinese University of Hong Kong Northwestern University pwongcuhkeduhk braincuhkeduhk The Auditory System 2 Research Goal To understand the basic ID: 1042462

amp auditory speech network auditory amp network speech processing wong brain noise learning adults language complex cognitive neural successful

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1. Central Auditory Processing: From Molecule to BehaviorPatrick C. M. WongThe Chinese University of Hong Kong Northwestern University p.wong@cuhk.edu.hkbrain.cuhk.edu.hk

2. “The Auditory System”2

3.

4.

5. Research GoalTo understand the basic mechanisms of central auditory processing from molecule to behavior, in order to:Have a comprehensive understanding of pathophysiology of disordersEnhance treatmentsOptimize learning for everyone

6. Three Strategies#1. Examine stages of neural processing along the auditory pathway to delineate domain-general and –specific properties of the CNS#2. Capitalize on our knowledge of the cellular and molecular characteristics of the brain, to develop and test hypotheses about the genetic basis of complex auditory functions (spoken language)#3. Through looking at the CNS as a network, we hope to gain a fuller understanding of spoken language processing problems and treatments.

7. #1. Stages of Neural Processing

8. 8IBEsIBE ComboSuga et al.

9. Mandarin SubjectsEnglish Subjectsz = 4z = 24.01.96zMandarin Tone – Mandarin PassiveRWong et al. (2004). J Neuroscience

10. 10Successful vs. Less Successful (Post-Training)R= Successful > Less Successful Learners= Less Successful > Successful Learners Wong et al. (2007). Human Brain Mapping

11. 11IBEsIBE ComboSuga et al.

12. BRAINWAVESOUNDWAVEdaBRAINWAVELow pitchHigh pitchSoundwave to BrainwaveSOUNDWAVE

13. 13Wong et al. (2007). Nature Neuroscience

14. FFR from Infants

15. #2. Genetic Basis of Complex Auditory Behavior

16. Brodmann (1909) Superior Temporal Region

17. (a) Cyto- vs. (b) Receptor-Morosan et al. 2005

18. “Auditory” Network Kaas & Hackett (2000), PNASSub-cortical(Auditory)Temporal Cortex(Auditory)Non-Auditory

19. Genes -> Neurons (e.g., receptors) -> Systems -> Behaviors (e.g., language)

20.

21. Grammar Learning Grammar learning Procedural memory Fronto-striatal System Dopaminergic System DA Receptor Genes

22. DRD2 PolymorphismA1A1, A1A2, or A2A2Presence of A1 allele is associated with reduced D2 receptor binding in basal ganglia (Thompson et al. , 1997)BUT might be consequential to ANKK1 signaling and indicative of more general neural function

23. DRD2 Taq1A

24. Morpho-Phonology LearningLearning Opaque phonological rules involving combining morphemes and performing phonological transformationsGeneralization to Untrained StimuliSimple phonology ConditionComplex phonology ConditionLearners & Non-Learners (all adults)24Ettlinger, Bradlow, & Wong (2014). Appl Psych

25. Transparent (simple) & Opaque (complex) Grammar25 Singular Plural Dim Dim. Pl ‘dog’ vib vib-il ki-vib ki-vib-il ‘cat’ pesh pesh-el ki-pish ki-pish-el Transparent and opaque items are mixed during training

26. Individual Differences

27. Memory & Language LearningSignificant positive correlation between sound learning & procedural memory

28. Frontostriatal Pathway & SuccessEttlinger, Novis, Wang, & Wong (submitted)

29. Network Differences

30. Network Differences

31. Neuroanatomyr = .58, p = .002r = .47, p = .02

32. DRD2 and PhenotypeProcedural MemoryGrammar LearningWong, Ettlinger, & Zheng (2013). PLoS One

33. DRD2 and Brain

34. DRD2Striatal activityProcedural memoryLanguage LearningModel Goodness-of-Fit Statistics Grammar Learning: χ2 = 0.11, DF=2, p=0.95 (good fit)

35. #3. Auditory System as a Network

36. “Auditory” Network Kaas & Hackett (2000), PNASSub-cortical(Auditory)Temporal Cortex(Auditory)Non-Auditory

37. Short- and long-distance neural connections reflect complex auditory functionsFrontotemporal anatomical connectivity reflects cognitive-auditory functional connectionTreatments of complex auditory behaviors cannot rely on amplification alone

38. Speech Perception in Noise in Older AdultsInternal unpublished data

39. Speech Perception in Noise in Older AdultsInternal unpublished data

40. Decline in hearing (presbycusis)

41. Do neurocognitive factors explain differences in speech perception in noise in younger and older adults?

42. fMRI Experiment42

43.

44. Functional fMRIYoung > Old: Auditory Cortex (STR)Old > Young: Cognitive Regions (Prefrontal/PFC & Posterior Parietal/PP)

45. Cognitive “Compensation”Older Adults – Speech in noise correlated with PFC activation (not true in younger adults)

46. NeuroanatomyOlder adults show atrophy across brain regionsAre neuroanatomical differences associated with speech perception in noise?

47. Wong et al. (2010). Ear Hearing

48. OlderYounger

49. TreatmentCognitive trainingIf neurocognitive factors are associated with speech perception in noise, improving cognitive functions might be effective.What aspects of cognition to train?Do different aspects of cognition interact?Dosage?

50. Working Memory TrainingTen-session trainingSubjects hear a series of digits (e.g., 3, 5, 1)Respond in reverse order (1, 5, 3)Number of digits adaptiveNoise level increased by day

51. WM Improvement

52. Speech in Noise Improvement

53. Children with Cochlear ImplantsAuditory, cognitive, and language abilities better than hearing impaired but worse their normal hearing peers

54. Working Memory in CI ChildrenPisoni & Cleary, 2003

55. Phonological Awareness in CI ChildrenSpencer & Tomblin, 2009

56. Child CI Users Trained Control MSD MSDAge67.69.862.719.2Age at Implant21.915.423.010.3CI Duration45.713.239.724.8Pre-Implantation Speech Awareness Threshold74.511.774.417.9Speech Awareness Threshold at Pretest6.55.86.15.5Performance IQ100.012.7105.216.8Ingvalson, Young, & Wong (2014). Int J. Ped. Oto.

57. Testing and Training Schedule

58. Training

59. OWALS: Trained Group Improved

60. Research GoalTo understand the basic mechanisms of auditory processing from molecule to behavior, in order to:Have a comprehensive understanding of pathophysiology of disordersEnhance treatmentsOptimize learning for everyone

61. Conclusions#1. Stages of neural processing along the auditory pathway can delineate domain-general and –specific properties of the CNS#2. Capitalize on our knowledge of the cellular characteristics of the brain, we can develop and test hypotheses about the genetic basis of complex auditory functions#3. Through looking at the CNS as a network, we can gain a fuller understanding of spoken language processing problems and treatments.

62. AcknowledgementsAlice Chan, Bharath Chandrasekaran, Erika Skoe, Erin Ingvalson, Francis Wong, Hanjun Liu, Jing Zheng, Mac Ettlinger, Nancy Young, Nina Kraus, Sumit Dhar, Todd Parrish, Tyler Perrachione brain.cuhk.edu.hkp.wong@cuhk.edu.hkNational Institutes of Health (USA) (R01DC008333 & R01DC013315)National Science Foundation (USA) (BCS-1125144)Research Grants Council (Hong Kong) (RGC 477513 & 14117514)Food and Health Bureau (Hong Kong) (HMRF 01120616)Lui Chee Woo FoundationGlobal Parent Child Resource Centre Limited

63.

64.

65. Un-weighted clusteringVariants (all variants or non-common variants) are aligned across all samples.Boxes in the same color indicate the samples are clustered in the original tree.In the case for all variants, the clustering is actually not very clear, giving G-13-0026, G-14-0010 and G-13-0054 standing alone. This is likely due to the noisy background of variants.Bootstrap consensus for all variantsLog likelihood = -588981.51Bootstrap consensus for non-common variantsLog likelihood = -62798.53

66. Network EfficiencyPaleari et al. (2009). Transportation Research Part EAirport Network

67. Efficiency67where N is number of nodes in networkLij is shortest path between nodes i,j 132L13 = 2-A graph theoretic measure-Speed of information transfer-A connection is defined by strength of inter-regional correlation

68. Group x Listening condition interactionLess efficient for older adults in noisy listening conditionCognitive and auditory brain regions