Cognitive Load During Speech Perception in Noise: The Influence of Age, Hearing Loss, and Cognition on the Pupil Response

Zekveld, Adriana A.; Kramer, Sophia E.; Festen, Joost Μ.

doi:10.1097/aud.0b013e31820512bb

Cited by 339 publications

(426 citation statements)

References 69 publications

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“…Similar to the current data, Zekveld et al (2011b) showed that better ability to read masked text was related to more cognitive processing load during sentence perception in noise as assessed by examination of the pupil response. These and the current data may suggest that participants with high TRT ability may use a particular strategy in both the TRT and speech perception tests that, although effortful, increases their performance over that observed in low-TRT individuals.…”

Section: Discussionsupporting

confidence: 72%

“…Based on the 'neural efficiency hypothesis ' (Neubauer & Fink, 2009) and the predictions of the ELU framework, we expected that larger WM capacity will be associated with less activation in left IFG areas. Based on Zekveld et al (2011b), we predicted greater activity in left IFG regions, reflecting greater processing load, in listeners with better TRT performance.…”

Section: Introductionmentioning

confidence: 99%

“…If neural activation related to using context to support speech comprehension is higher in individuals with larger WM capacity, this would suggest that these individuals may recruit additional semantic processing networks whereas the opposite relation, with less activation in high-capacity individuals, would suggest more efficient processing of context and speech (c.f., the 'neural efficiency hypothesis ';Neubauer & Fink, 2009). Regarding the relation between TRT performance and cognitive processing load, Zekveld, Kramer, and Festen (2011b) showed that individuals with good TRT performance experienced more processing load during speech perception in noise, as measured by examination of the pupil response.…”

Section: Introductionmentioning

confidence: 99%

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Behavioral and fMRI evidence that cognitive ability modulates the effect of semantic context on speech intelligibility

Zekveld¹,

Rudner²,

Johnsrude³

et al. 2012

Brain and Language

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101

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Text cues facilitate sentence perception when they are semantically related to the speech (Zekveld et al., 2011a). In this study, semantically related and unrelated cues preceding sentences evoked more activation in middle temporal gyrus (MTG) and inferior frontal gyrus (IFG) than non-word cues, regardless of acoustic quality (speech in noise or speech in quiet).Larger verbal working memory (WM) capacity (reading span) was associated with greater intelligibility benefit obtained from related cues, with less speech-related activation in the left superior temporal gyrus and left anterior IFG, and with more activation in right medial frontal cortex for related versus unrelated cues. Better ability to comprehend masked text was associated with greater ability to disregard unrelated cues, and with more activation in left angular gyrus (AG). We conclude that individual differences in cognitive abilities are related to activation in a speech-sensitive network including left MTG, IFG and AG during cued speech perception.

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Section: Discussionsupporting

confidence: 72%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Behavioral and fMRI evidence that cognitive ability modulates the effect of semantic context on speech intelligibility

Zekveld¹,

Rudner²,

Johnsrude³

et al. 2012

Brain and Language

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101

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“…The eye tracking system was calibrated based on neural network to correct the geometry distortion of pupillary response data. Zekveld et al (2011) evaluated the influence of age, hearing loss, and cognitive ability on the cognitive load during listening to speech presented in noise. Cognitive load was assessed by examination of pupil dilation.…”

Section: Noisy Factors In Workload Measuresmentioning

confidence: 99%

Robust Multimodal Cognitive Load Measurement (RMCLM)

Chen¹

2013

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This report summarizes the important research activities, study results and research accomplishments out of the RMCLM project in the past year period. The objective of this project includes research of the fundamental issues related to the use of multiple input modalities and their fusion to enable robust and automatic cognitive load measurement (CLM) in the real world. Firstly, we carried out a further literature review on physiological measures of cognitive workload to include the recent advances of physiological measures of cognitive workload. In the meantime, we examined the use of various features (e.g. spectral and approximate entropies, wavelet-based complexity measures, correlation dimension, Hurst exponent) of electroencephalogram (EEG) signals to evaluate changes in working memory load during the performance of a cognitive task with varying difficulty/load levels. Eye based CLM was also studied. Three types of eye activity were investigated: pupillary response, blink, and eye movement (fixation and saccade). We further investigated the linguistic feature based CLM in this study and analyzed novel linguistic features as potential indices of cognitive load. All together, we had carried out CLM study of three unobtrusive modalities, namely EEG, eye activity, and linguistic feature based CLM, in the past year period. List of Publications Report Documentation PageForm Approved OMB No. Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. REPORT DATE APR 20132. REPORT TYPE This report summarizes the important research activities, study results and research accomplishments out of the RMCLM project in the past year period. The objective of this project includes research of the fundamental issues related to the use of multiple input modalities and their fusion to enable robust and automatic cognitive load measurement (CLM) in the real world. Firstly, we carried out a further literature review on physiological measures of cognitive workload to include the recent advances of physiological measures of cognitive workload. In the meantime, we examined the use of various features (e.g. spectral and approximate entropies, wavelet-based complexity measures, correlation dimension, Hurst exponent) of electroencephalogram (EEG) signals to evaluate changes ...

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“…Considering that the neural tracking of attended speech in older listeners improved more than that of younger when reducing the spectro-temporal degradation of the auditory signal (Presacco et al, 2016), it might have been expected that listeners with worse hearing would experience a larger benefit from reducing the external degradation. However, a previous study has observed a similar reduced sensitivity towards improvements in the speech intelligibility in the pupil-data of elderly hearing-impaired listeners compared to younger and age-matched normal-hearing listeners (Zekveld et al, 2011). Zekveld and colleagues suggested that the observation could result from speech processing being more superficial for the listeners with worse hearing (Zekveld et al, 2011).…”

Section: Neural Effects Of Altering the Background-noise Levelsmentioning

confidence: 82%

Neural and Cognitive Effects of Hearing Loss on Speech Processing

Petersen¹

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Understanding speech in the presence of background noise can be difficulty and even more so if you suffer from a hearing loss. Although speech understanding depends on hearing acuity, the individual capacity to perform higher-order Working Memory (WM) processing also plays an important role (Lunner, 2003). Despite the impact of cognition on speech processing, it has yet to be determined how hearing loss influences neural signatures of WM processing. By examining the dynamic behaviour of the electroencephalogram (EEG), it is possible to investigate how hearing loss and listening condition affect the neural processing of speech.The aim of the current thesis was to investigate how hearing loss in elderly listeners influenced speech processing by examining both behavioural and neural measures of the cognitive involvement. In three studies, we tested the hypothesis that hearing loss and adverse listening conditions result in increased cognitive involvement. In the first study (Paper I), worse hearing and lower WM capacity related to poorer performance in a speech-in-noise task where the sound sources were spatially co-located. In a similar speech-in-noise task with spatially separated sounds, the performance was influenced by hearing loss, but not WM capacity. This suggests that the reading span test, used for quantifying the WM capacity, inadequately describes the dynamic nature of the WM involvement under speech processing. In relation to the theoretical Ease of Language Understanding (ELU) model, the results partly confirmed the view that WM abilities are more important during speech processing for listeners suffering from a hearing loss. As suggested by the inconsistent observations in Paper I, there is a need for more objective and dynamic measures in order to understand the relation between WM processing, speech understanding, and hearing loss.An interesting, cheap, and potentially portable technology for objectively measuring the WM involvement during speech processing is EEG. As a measure of WM involvement, the alpha oscillations (~10 Hz activity in the EEG) was examined during an auditory delayed-match-to-sample task (Paper II). Despite equal taskperformance, alpha power was generally higher in listeners with worse hearing. This indicates that worse hearing is linearly related to higher cognitive load during speech processing. In the most difficult experimental condition, an alpha-power breakdown was observed for listeners with the highest degree of hearing loss. This suggests that the generation of alpha power reached an upper ceiling-level, resulting in a breakdown. The internal degradation of the auditory signal brought on by the hearing loss appear to require activation of additional WM resources in order to be overcome.A potential cause for this increased cognitive load in listeners with worse hearing was investigated in a competing-talker experiment in Paper III. Here, the effect of Abstract ii hearing loss on the ability to selectively attend to a particular speech stream was examined by cross-correla...

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Cognitive Load During Speech Perception in Noise: The Influence of Age, Hearing Loss, and Cognition on the Pupil Response

Cited by 339 publications

References 69 publications

Behavioral and fMRI evidence that cognitive ability modulates the effect of semantic context on speech intelligibility

Behavioral and fMRI evidence that cognitive ability modulates the effect of semantic context on speech intelligibility

Robust Multimodal Cognitive Load Measurement (RMCLM)

Neural and Cognitive Effects of Hearing Loss on Speech Processing

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