Task-Related Vigilance During Word Recognition in Noise for Older Adults with Hearing Loss

REFERENCES

• Advokat, C., Martino, L., Hill, B. D., & Gouvier, W. (2007). Continuous Performance Test (CPT) of college students with ADHD, psychiatric disorders, cognitive deficits, or no diagnosis. Journal of Attention Disorders, 10, 253–256. doi: 10.1177/1087054706292106
   PubMedGoogle Scholar
• American National Standards Institute. (2010). American National Standard specifications for audiometers (ANSI S3.6-2010). New York: Author.
   Google Scholar
• Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. NeuroImage, 38, 95–113. doi: 10.1016/j.neuroimage.2007.07.007
   PubMed Web of Science ®Google Scholar
• Ashburner, J., & Friston, K. J. (2005). Unified segmentation. NeuroImage, 26, 839–851. doi: 10.1016/j.neuroimage.2005.02.018
   PubMed Web of Science ®Google Scholar
• Aston-Jones, G., & Cohen, J. D. (2005). An integrative theory of locus coeruleus-norepinephrine function: Adaptive gain and optimal performance. Annual Review of Neuroscience, 28, 403–450. doi: 10.1146/annurev.neuro.28.061604.135709
   PubMed Web of Science ®Google Scholar
• Balota, D. A., Yap, M. J., Hutchison, K. A., Cortese, M. J., Kessler, B., Loftis, B., … Treiman, R. (2007). The English Lexicon Project. Behavior Research Methods, 39, 445–459. doi: 10.3758/BF03193014
   PubMed Web of Science ®Google Scholar
• Baum, S. H., & Beauchamp, M. S. (2014). Greater BOLD variability in older compared with younger adults during audiovisual speech perception. PLoS ONE, 9, e111121. doi: 10.1371/journal.pone.0111121
   PubMed Web of Science ®Google Scholar
• Bess, F. H., & Hornsby, B. W. Y. (2014). Commentary: Listening can be exhausting-Fatigue in children and adults with hearing loss. Ear and Hearing, 35, 592–599. doi: 10.1097/AUD.0000000000000099
   PubMed Web of Science ®Google Scholar
• Burk, M. H., & Humes, L. E. (2008). Effects of long-term training on aided speech-recognition performance in noise in older adults. Journal of Speech, Language, and Hearing Research, 51, 759–771. doi: 10.1044/1092-4388(2008/054)
   PubMed Web of Science ®Google Scholar
• Cabeza, R., Anderson, N. D., Locantore, J. K., & McIntosh, A. R. (2002). Aging gracefully: Compensatory brain activity in high-performing older adults. NeuroImage, 17, 1394–1402. doi: 10.1006/nimg.2002.1280
   PubMed Web of Science ®Google Scholar
• Conners, C. K. (2004). Conners’ Continuous Performance Test II. Toronto, ON: Multi-Health Systems.
   Google Scholar
• Corbetta, M., Patel, G., & Shulman, G. L. (2008). The reorienting system of the human brain: From environment to theory of mind. Neuron, 58, 306–324. doi: 10.1016/j.neuron.2008.04.017
   PubMed Web of Science ®Google Scholar
• Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews. Neuroscience, 3, 201–215. doi: 10.1038/nrn755
   PubMed Web of Science ®Google Scholar
• Corbetta, M., & Shulman, G. L. (2011). Spatial neglect and attention networks. Annual Review of Neuroscience, 34, 569–599. doi: 10.1146/annurev-neuro-061010-113731
   PubMed Web of Science ®Google Scholar
• Dosenbach, N. U. F., Visscher, K. M., Palmer, E. D., Miezin, F. M., Wenger, K. K., Kang, H. C., … Petersen, S. E. (2006). A core system for the implementation of task sets. Neuron, 50, 799–812. doi: 10.1016/j.neuron.2006.04.031
   PubMed Web of Science ®Google Scholar
• Dreschler, W. A., Verschuure, H., Ludvigsen, C., & Westermann, S. (2001). ICRA noises: Artificial noise signals with speech-like spectral and temporal properties for hearing instrument assessment. International Journal of Audiology, 40, 148–157. doi: 10.3109/00206090109073110
   Google Scholar
• Eckert, M. A., Keren, N. I., Roberts, D. R., Calhoun, V. D., & Harris, K. C. (2010). Age-related changes in processing speed: Unique contributions of cerebellar and prefrontal cortex. Frontiers in Human Neurosciences, 4, 1–14. doi: 10.3389/neuro.09.010.2010
   PubMed Web of Science ®Google Scholar
• Eckert, M. A., Walczak, A., Ahlstrom, J., Denslow, S., Horwitz, A., & Dubno, J. R. (2008). Age-related effects on word recognition: Reliance on cognitive control systems with structural declines in speech-responsive cortex. Journal of the Association for Research in Otolaryngology, 9, 252–259. doi: 10.1007/s10162-008-0113-3
   PubMed Web of Science ®Google Scholar
• Endo, T., Yanagawa, Y., Obata, K., & Isa, T. (2005). Nicotinic acetylcholine receptor subtypes involved in facilitation of GABAergic inhibition in mouse superficial superior colliculus. Journal of Neurophysiology, 94, 3893–3902. doi: 10.1152/jn.00211.2005
   PubMed Web of Science ®Google Scholar
• Epstein, J. N., Erkanli, A., Conners, C. K., Klaric, J., Costello, J. E., & Angold, A. (2003). Relations between continuous performance test performance measures and ADHD behaviors. Journal of Abnormal Child Psychology, 31, 543–554. doi: 10.1023/A:1025405216339
   PubMed Web of Science ®Google Scholar
• Fox, M. D., Snyder, A. Z., Barch, D. M., Gusnard, D. A., & Raichle, M. E. (2005). Transient BOLD responses at block transitions. NeuroImage, 28, 956–966. doi: 10.1016/j.neuroimage.2005.06.025
   PubMed Web of Science ®Google Scholar
• Friston, K. J., Worsley, K. J., Frackowiak, R. S., Mazziotta, J. C., & Evans, A. C. (1994). Assessing the significance of focal activations using their spatial extent. Human Brain Mapping, 1, 210–220. doi: 10.1002/hbm.460010306
   PubMedGoogle Scholar
• Geerligs, L., Renken, R. J., Saliasi, E., Maurits, N. M., & Lorist, M. M. (2014). A brain-wide study of age-related changes in functional connectivity. Cerebral Cortex, 2, 1–13. doi: 10.1093/cercor/bhu012
   Web of Science ®Google Scholar
• Gilzenrat, M. S., Nieuwenhuis, S., Jepma, M., & Cohen, J. D. (2010). Pupil diameter tracks changes in control state predicted by the adaptive gain theory of locus coeruleus function. Cognitive, Affective, & Behavioral Neuroscience, 10, 252–269. doi: 10.3758/CABN.10.2.252
   PubMed Web of Science ®Google Scholar
• Gong, G., Rosa-Neto, P., Carbonell, F., Chen, Z. J., He, Y., & Evans, A. C. (2009). Age- and gender-related differences in the cortical anatomical network. The Journal of Neuroscience, 29, 15684–15693. doi: 10.1523/JNEUROSCI.2308-09.2009
   PubMed Web of Science ®Google Scholar
• Hermans, E. J., van Marle, H. J. F., Ossewaarde, L., Henckens, M. J. A. G., Qin, S., van Kesteren, M. T. R., … Fernandez, G. (2011). Stress-related noradrenergic activity prompts large-scale neural network reconfiguration. Science, 334, 1151–1153. doi: 10.1126/science.1209603
   PubMed Web of Science ®Google Scholar
• Hornsby, B. W. Y. (2013). The effects of hearing aid use on listening effort and mental fatigue associated with sustained speech processing demands. Ear and Hearing, 34, 523–534. doi: 10.1097/AUD.0b013e31828003d8
   PubMed Web of Science ®Google Scholar
• Huang, S., Belliveau, J. W., Tengshe, C., & Ahveninen, J. (2012). Brain networks of novelty-driven involuntary and cued voluntary auditory attention shifting. PLoS ONE, 7, e44062. doi: 10.1371/journal.pone.0044062
   PubMed Web of Science ®Google Scholar
• Humes, L. E., Burk, M. H., Strauser, L. E., & Kinney, D. L. (2009). Development and efficacy of a frequent-word auditory training protocol for older adults with impaired hearing. Ear and Hearing, 30, 613–627. doi: 10.1097/AUD.0b013e3181b00d90
   PubMed Web of Science ®Google Scholar
• Jennings, J. R., Stiller, R., & Brock, K. (1988). Are changes in performance with noise and age due to adrenergic arousal? Psychobiology, 16, 270–280.
   Google Scholar
• Kim, H. (2014). Involvement of the dorsal and ventral attention networks in oddball stimulus processing: A meta-analysis. Human Brain Mapping, 35, 2265–2284. doi: 10.1002/hbm.22326
   PubMed Web of Science ®Google Scholar
• Kray, J., Li, K. Z. H., & Lindenberger, U. (2002). Age-related changes in task-switching components: The role of task uncertainty. Brain and Cognition, 49, 363–381. doi: 10.1006/brcg.2001.1505
   PubMed Web of Science ®Google Scholar
• Kuchinsky, S. E., Ahlstrom, J. B., Cute, S. L., Humes, L. E., Dubno, J. R., & Eckert, M. A. (2014). Speech-perception training for older adults with hearing loss impacts word recognition and effort. Psychophysiology, 51, 1046–1057. doi: 10.1111/psyp.12242
   PubMed Web of Science ®Google Scholar
• Kuchinsky, S. E., Ahlstrom, J. B., Vaden, K. I., Cute, S. L., Humes, L. E., Dubno, J. R., & Eckert, M. A. (2013). Pupil size varies with word listening and response selection difficulty in older adults with hearing loss. Psychophysiology, 50, 23–34. doi: 10.1111/j.1469-8986.2012.01477.x
   PubMed Web of Science ®Google Scholar
• Kuchinsky, S. E., Vaden, K. I., Keren, N. I., Harris, K. C., Ahlstrom, J. B., Dubno, J. R., & Eckert, M. A. (2012). Word intelligibility and age predict visual cortex activity during word listening. Cerebral Cortex, 22, 1360–1371. doi: 10.1093/cercor/bhr211
   PubMed Web of Science ®Google Scholar
• Larsby, B., Hällgren, M., Lyxell, B., & Arlinger, S. (2005). Cognitive performance and perceived effort in speech processing tasks: Effects of different noise backgrounds in normal-hearing and hearing-impaired subjects. International Journal of Audiology, 44, 131–143. doi: 10.1080/14992020500057244
   PubMed Web of Science ®Google Scholar
• Lund, K., & Burgess, C. (1996). Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, Instruments, & Computers, 28, 203–208. doi: 10.3758/BF03204766
   Google Scholar
• Macey, P. M., Macey, K. E., Kumar, R., & Harper, R. M. (2004). A method for removal of global effects from fMRI time series. NeuroImage, 22, 360–366. doi: 10.1016/j.neuroimage.2003.12.042
   PubMed Web of Science ®Google Scholar
• Manaye, K. F., McIntire, D. D., Mann, D. M. A., & German, D. C. (1995). Locus coeruleus cell loss in the aging human brain: A non-random process. The Journal of Comparative Neurology, 358, 79–87. doi: 10.1002/cne.903580105
   PubMed Web of Science ®Google Scholar
• McCoy, S. L., Tun, P. A., Cox, L. C., Colangelo, M., Stewart, R. A., & Wingfield, A. (2005). Hearing loss and perceptual effort: Downstream effects on older adults’ memory for speech. The Quarterly Journal of Experimental Psychology Section A, 58, 22–33. doi: 10.1080/02724980443000151
   PubMed Web of Science ®Google Scholar
• McGarrigle, R., Munro, K. J., Dawes, P., Stewart, A. J., Moore, D. R., Barry, J. G., & Amitay, S. (2014). Listening effort and fatigue: What exactly are we measuring? A British society of audiology cognition in hearing special interest group “white paper”. International Journal of Audiology, 53, 433–440. doi: 10.3109/14992027.2014.890296
   PubMed Web of Science ®Google Scholar
• Mirman, D., Dixon, J. A., & Magnuson, J. S. (2008). Statistical and computational models of the visual world paradigm: Growth curves and individual differences. Journal of Memory and Language, 59, 475–494. doi: 10.1016/j.jml.2007.11.006
   PubMed Web of Science ®Google Scholar
• Nardo, D., Santangelo, V., & Macaluso, E. (2011). Stimulus-driven orienting of visuo-spatial attention in complex dynamic environments. Neuron, 69, 1015–1028. doi: 10.1016/j.neuron.2011.02.020
   PubMed Web of Science ®Google Scholar
• Oldfield, R. C. (1971). The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia, 9, 97–113. doi: 10.1016/0028-3932(71)90067-4
   PubMed Web of Science ®Google Scholar
• Peelle, J. E., Troiani, V., Wingfield, A., & Grossman, M. (2010). Neural processing during older adults’ comprehension of spoken sentences: Age differences in resource allocation and connectivity. Cerebral Cortex, 20, 773–782. doi: 10.1093/cercor/bhp142
   PubMed Web of Science ®Google Scholar
• Petersen, S. E., & Posner, M. I. (2012). The attention system of the human brain: 20 years after. Annual Review of Neuroscience, 35, 73–89. doi: 10.1146/annurev-neuro-062111-150525
   PubMed Web of Science ®Google Scholar
• Pichora-Fuller, M. K., Schneider, B. A., & Daneman, M. (1995). How young and old adults listen to and remember speech in noise. The Journal of the Acoustical Society of America, 97, 593–608. doi: 10.1121/1.412282
   PubMed Web of Science ®Google Scholar
• Piquado, T., Isaacowitz, D., & Wingfield, A. (2010). Pupillometry as a measure of cognitive effort in younger and older adults. Psychophysiology, 47, 560–569. doi: 10.1111/j.1469-8986.2009.00947.x
   PubMed Web of Science ®Google Scholar
• Plomp, R. (1994). Noise, amplification, and compression: Considerations of three main issues in hearing aid design. Ear and Hearing, 15, 2–12. doi: 10.1097/00003446-199402000-00002
   PubMed Web of Science ®Google Scholar
• Rajkowski, J., Kubiak, P., & Aston-Jones, G. (1993). Correlations between locus coeruleus (LC) neural activity, pupil diameter and behavior in monkey support a role of LC in attention. Society for Neuroscience Abstracts, 19, 974.
   Google Scholar
• Ridderinkhof, K. R., Span, M. M., & van der Molen, M. W. (2002). Perseverative behavior and adaptive control in older adults: Performance monitoring, rule induction, and set shifting. Brain and Cognition, 49, 382–401. doi: 10.1006/brcg.2001.1506
   PubMed Web of Science ®Google Scholar
• Scalf, P. E., Ahn, J., Beck, D. M., & Lleras, A. (2014). Trial history effects in the ventral attentional network. Journal of Cognitive Neuroscience, 26, 2789–2797. doi: 10.1162/jocn_a_00678
   PubMed Web of Science ®Google Scholar
• Schneider-Garces, N. J., Gordon, B. A., Brumback-Peltz, C. R., Shin, E., Lee, Y., Sutton, B. P., … Fabiani, M. (2010). Span, CRUNCH, and beyond: Working memory capacity and the aging brain. Journal of Cognitive Neuroscience, 22, 655–669. doi: 10.1162/jocn.2009.21230
   PubMed Web of Science ®Google Scholar
• Seifritz, E., Esposito, F., Hennel, F., Mustovic, H., Neuhoff, J. G., Bilecen, D., & Di Salle, F. (2002). Spatiotemporal pattern of neural processing in the human auditory cortex. Science, 297, 1706–1708. doi: 10.1126/science.1074355
   PubMed Web of Science ®Google Scholar
• Sensimetrics Corportation. ( 2015). S14 Technical Notes. Retrieved from http://www.sens.com/products/model-s14/#documentation
   Google Scholar
• Shulman, G. L., Astafiev, S. V., Franke, D., Pope, D. L. W., Snyder, A. Z., McAvoy, M. P., & Corbetta, M. (2009). Interaction of stimulus-driven reorienting and expectation in ventral and dorsal frontoparietal and basal ganglia-cortical networks. The Journal of Neuroscience, 29, 4392–4407. doi: 10.1523/JNEUROSCI.5609-08.2009
   PubMed Web of Science ®Google Scholar
• Sridharan, D., Levitin, D. J., & Menon, V. (2008). A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proceedings of the National Academy of Sciences of the United States of America, 105, 12569–12574. doi: 10.1073/pnas.0800005105
   PubMed Web of Science ®Google Scholar
• Vaden, K. I., Halpin, H. R., & Hickok, G. S. ( 2009). Irvine Phonotactic Online Dictionary, Version 2.0 [Data file]. Retrieved from http://www.iphod.com
   Google Scholar
• Vaden, K. I., Kuchinsky, S. E., Ahlstrom, J. B., Dubno, J. R., & Eckert, M. A. (2015). Cortical activity predicts when and which older adults recognize speech in noise. Journal of Neuroscience, 35, 3929–3937. doi: 10.1523/JNEUROSCI.2908-14.2015
   PubMed Web of Science ®Google Scholar
• Vaden, K. I., Kuchinsky, S. E., Cute, S. L., Ahlstrom, J. B., Dubno, J. R., & Eckert, M. A. (2013). The cingulo-opercular network provides word-recognition benefit. The Journal of Neuroscience, 33, 18979–18986. doi: 10.1523/JNEUROSCI.1417-13.2013
   PubMed Web of Science ®Google Scholar
• Vaden, K. I., Muftuler, L. T., & Hickok, G. (2010). Phonological repetition-suppression in bilateral superior temporal sulci. NeuroImage, 49, 1018–1023. doi: 10.1016/j.neuroimage.2009.07.063
   PubMed Web of Science ®Google Scholar
• Wheatley, D. M., Scialfa, C. T., Boot, W., Kramer, A., & Alexander, A. (2012). Minimal age-related deficits in task switching, inhibition, and oculomotor control. Experimental Aging Research, 38, 110–129. doi: 10.1080/0361073X.2012.637018
   PubMed Web of Science ®Google Scholar
• Wilke, M. (2012). An alternative approach towards assessing and accounting for individual motion in fMRI timeseries. NeuroImage, 59, 2062–2072. doi: 10.1016/j.neuroimage.2011.10.043
   PubMed Web of Science ®Google Scholar
• Wingfield, A., & Grossman, M. (2006). Language and the aging brain: Patterns of neural compensation revealed by functional brain imaging. Journal of Neurophysiology, 96, 2830–2839. doi: 10.1152/jn.00628.2006
   PubMed Web of Science ®Google Scholar
• Wong, P. C. M., Jin, J. X., Gunasekera, G. M., Abel, R., Lee, E. R., & Dhar, S. (2009). Aging and cortical mechanisms of speech perception in noise. Neuropsychologia, 47, 693–703. doi: 10.1016/j.neuropsychologia.2008.11.032
   PubMed Web of Science ®Google Scholar
• Zekveld, A. A., Heslenfeld, D. J., Johnsrude, I. S., Versfeld, N. J., & Kramer, S. E. (2014). The eye as a window to the listening brain: Neural correlates of pupil size as a measure of cognitive listening load. NeuroImage, 101, 76–86. doi: 10.1016/j.neuroimage.2014.06.069
   PubMed Web of Science ®Google Scholar
• Zekveld, A. A., Kramer, S. E., & Festen, J. M. (2010). Pupil response as an indication of effortful listening: The influence of sentence intelligibility. Ear and Hearing, 31, 480–490. doi: 10.1097/AUD.0b013e3181d4f251
   PubMed Web of Science ®Google Scholar
• Zekveld, A. A., Kramer, S. E., & Festen, J. M. (2011). Cognitive load during speech perception in noise: The influence of age, hearing loss, and cognition on the pupil response. Ear and Hearing, 32, 498–510. doi: 10.1097/AUD.0b013e31820512bb
   PubMed Web of Science ®Google Scholar