Neural correlates of listening effort related factors: Influence of age and hearing impairment

Bernarding, Corinna; Strauß, Daniel J.; Hannemann, Ronny; Seidler, Harald; Corona-Strauss, Farah I.

doi:10.1016/j.brainresbull.2012.11.005

Cited by 44 publications

(36 citation statements)

References 46 publications

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“…Phase synchronization refers to how well single sweeps in a particular condition are timelocked across successive trials. Bernarding et al (2012) manipulated the diffi culty of an auditory syllable-detection task by presenting the target syllable simultaneously with syllables that either sounded similar (diffi cult condition) or sounded different (easy condition). The phase synchronization of the N1 component systematically increased with increasing task diffi culty.…”

Section: Electroencephalography (Eeg)mentioning

confidence: 99%

“…EEG measures provide temporally-precise markers of mental processing (Obleser and Kotz, 2011;Bernarding et al, 2012;Obleser et al, 2012) with a temporal resolution at the millisecond level. EEG information such as phase characteristics and amplitude of the N1 component may provide insights into aspects of cognitive processing (e.g.…”

Section: Electroencephalography (Eeg)mentioning

confidence: 99%

“…The phase synchronization of the N1 component systematically increased with increasing task diffi culty. This was interpreted as refl ecting the increased listening effort required to perform the more challenging auditory task (Bernarding et al, 2012).…”

Section: Electroencephalography (Eeg)mentioning

confidence: 99%

See 2 more Smart Citations

Listening effort and fatigue: What exactly are we measuring? A British Society of Audiology Cognition in Hearing Special Interest Group ‘white paper’

McGarrigle

Munro

Dawes

et al. 2014

International Journal of Audiology

425

386

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Following recent interest in the cognitive involvement in hearing, the British Society of Audiology (BSA) established a Special Interest Group on Cognition in Hearing in May 2013. In an exploratory group meeting, the ambiguity surrounding listening effort and fatigue was discussed. To address this problem, the group decided to develop a 'white paper' on listening effort and fatigue. This is a discussion document followed by an international set of commentaries from leading researchers in the field. An approach was made to the editor of the International Journal of Audiology who agreed to this suggestion. This paper, and the associated commentaries that follow, are the result.

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Section: Electroencephalography (Eeg)mentioning

confidence: 99%

Section: Electroencephalography (Eeg)mentioning

confidence: 99%

See 1 more Smart Citation

Listening effort and fatigue: What exactly are we measuring? A British Society of Audiology Cognition in Hearing Special Interest Group ‘white paper’

McGarrigle

Munro

Dawes

et al. 2014

International Journal of Audiology

425

386

View full text Add to dashboard Cite

show abstract

“…2010; Bernarding et al. 2013), we proposed a new method for the quantification of listening effort by means of evoked electroencephalographic (EEG) activity, which is based on a neurodynamical model. Besides other promising models that can be applied (e.g., Wang et al.…”

Section: Introductionmentioning

confidence: 99%

Neurodynamic evaluation of hearing aid features using EEG correlates of listening effort

et al. 2017

Self Cite

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In this study, we propose a novel estimate of listening effort using electroencephalographic data. This method is a translation of our past findings, gained from the evoked electroencephalographic activity, to the oscillatory EEG activity. To test this technique, electroencephalographic data from experienced hearing aid users with moderate hearing loss were recorded, wearing hearing aids. The investigated hearing aid settings were: a directional microphone combined with a noise reduction algorithm in a medium and a strong setting, the noise reduction setting turned off, and a setting using omnidirectional microphones without any noise reduction. The results suggest that the electroencephalographic estimate of listening effort seems to be a useful tool to map the exerted effort of the participants. In addition, the results indicate that a directional processing mode can reduce the listening effort in multitalker listening situations.

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“…Several studies indicate that an increase in the task difficulty requires further synchronization of the brain network (Korobeinikova and Karatygin, 2012;Bernarding et al, 2013). The authors hypothesize that MCI subjects are more inefficient in the task execution.…”

Section: Discussionmentioning

confidence: 99%

Complexity of functional connectivity networks in mild cognitive impairment subjects during a working memory task

Ahmadlou

Adeli

Bajo

et al. 2014

Clinical Neurophysiology

128

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HIGHLIGHTS• We use magneto-encephalograms in patients with mild cognitive impairment (MCI).• We investigate complexity of functional connectivity network of MCI patients using two different measures: Graph Index Complexity and Efficiency Complexity.• Efficiency Complexity is superior to Graph Index Complexity and its value at theta band can be used for diagnosis of MCI. ABSTRACT Objectives:The objective is to study the changes of brain activity in patients with mild cognitive impairment (MCI). Using magneto-encephalogram (MEG) signals, the authors investigate differences of complexity of functional connectivity network between MCI and normal elderly subjects during a working memory task. Methods: MEGs are obtained from 18 right handed patients with MCI and 19 age-matched elderly participants without cognitive impairment used as the control group. The brain networks' complexities are measured by Graph Index Complexity (C r ) and Efficiency Complexity (Q). Results:The results obtained by both measurements show complexity of functional networks involved in the working memory function in MCI subjects is reduced at alpha and theta bands compared with subjects with control subjects, and at the theta band this reduction is more pronounced in the whole brain and intra left hemisphere. Conclusions: C e would be a better measurement for showing the global differences between normal and MCI brains compared with C r . Significance: The high accuracy of the classification shows C e at theta band can be used as an index for assessing deficits associated with working memory, a good biomarker for diagnosis of MCI.

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Neural correlates of listening effort related factors: Influence of age and hearing impairment

Cited by 44 publications

References 46 publications

Listening effort and fatigue: What exactly are we measuring? A British Society of Audiology Cognition in Hearing Special Interest Group ‘white paper’

Listening effort and fatigue: What exactly are we measuring? A British Society of Audiology Cognition in Hearing Special Interest Group ‘white paper’

Neurodynamic evaluation of hearing aid features using EEG correlates of listening effort

Complexity of functional connectivity networks in mild cognitive impairment subjects during a working memory task

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