The DOI matches its Crossref record; 55 of the 60 references it cites were found in a registry or an index.
Adverse Listening Conditions and Memory Load Drive a Common Alpha Oscillatory Network
Open accessAbstract
How does acoustic degradation affect the neural mechanisms of working memory? Enhanced alpha oscillations (8–13 Hz) during retention of items in working memory are often interpreted to reflect increased demands on storage and inhibition. We hypothesized that auditory signal degradation poses an additional challenge to human listeners partly because it draws on the same neural mechanisms. In an adapted Sternberg paradigm, auditory memory load and acoustic degradation were parametrically varied and the magnetoencephalographic response was analyzed in the time–frequency domain. Notably, during the stimulus-free delay interval, alpha power monotonically increased at central–parietal sensors as functions of memory load (higher alpha power with more memory load) and of acoustic degradation (also higher alpha power with more severe acoustic degradation). This alpha effect was superadditive when highest load was combined with most severe degradation. Moreover, alpha oscillatory dynamics during stimulus-free delay were predictive of response times to the probe item. Source localization of alpha power during stimulus-free delay indicated that alpha generators in right parietal, cingulate, supramarginal, and superior temporal cortex were sensitive to combined memory load and acoustic degradation. In summary, both challenges of memory load and acoustic degradation increase activity in a common alpha-frequency network. The results set the stage for future studies on how chronic or acute degradations of sensory input affect mechanisms of executive control.
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“Both manipulations cause an enhancement of oscillatory power in the same time-frequency range (Obleser et al. 2012).”
From Hearing Impairment and Cognitive Energy: The Framework for Understanding Effortful Listening (FUEL) (2016) · cites this paper as Obleser et al. 2012
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“4, top row; bottom row shows the same data being plotted onto brain areas as outlined in the automatic anatomical labeling atlas; Tzourio-Mazoyer et al., 2002).”
MethodOostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323 · cited 1×
“Offline, the data were analyzed using MATLAB and the FieldTrip toolbox (Oostenveld et al., 2011).”
MethodNonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496 · cited 2×
“At the second or group level, we submitted the individual z-maps to a massed cluster-based permutation t test (testing for significant differences from zero, two-sided, dependent samples, with 1000 iterations; as outlined by Maris and Oostenveld, 2007).”
MethodEEG alpha oscillations: The inhibition–timing hypothesis
Klimesch, W., Sauseng, P., & Hanslmayr, S. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2006.06.003 · Cited by 3,890 · cited 5×
“The alpha enhancement attributable to more severe acoustic degradation was found to be additive to the alpha enhancement attributable to more stored items: acoustic degradation (a perceptual challenge) and memory load (a capacity challenge) both draw on a neural system subserving “functional inhibition” (Klimesch et a…”
BackgroundInfluentialSpeech Recognition with Primarily Temporal Cues
Shannon, R., Zeng, F.-G., Kamath, V., Wygonski, J., & Ekelid, M. (1995) · Science · doi:10.1126/science.270.5234.303 · Cited by 3,302 · cited 2×
“Noise vocoding is an effective technique to manipulate the spectral detail while preserving the temporal envelope of the speech signal (Drullman, 1995; Shannon et al., 1995) and render it more or less intelligible in a graded and controlled way, depending on the number of bands used.”
MethodShaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition
Jensen, O., & Mazaheri, A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00186 · Cited by 3,237 · cited 6×
“The alpha enhancement attributable to more severe acoustic degradation was found to be additive to the alpha enhancement attributable to more stored items: acoustic degradation (a perceptual challenge) and memory load (a capacity challenge) both draw on a neural system subserving “functional inhibition” (Klimesch et a…”
BackgroundInfluentialThe neural correlates of the verbal component of working memory
Paulesu, E., Frith, C. D., & Frackowiak, R. S. J. (1993) · Nature · doi:10.1038/362342a0 · Cited by 2,230 · cited 1×
“As illustrated in Figure 4, the significant cluster extends into the SMG and the temporoparietal junction (TPJ), both being hotspots in verbal working memory (Paulesu et al., 1993; Jacquemot et al., 2003; Jacquemot and Scott, 2006; Obleser and Eisner, 2009).”
BackgroundDynamic imaging of coherent sources: studying neural interactions in the human brain
Gross, J., Kujala, J., Hämäläinen, M., Timmermann, L., Schnitzler, A., & Salmelin, R. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.694 · Cited by 1,810 · cited 3×
“…to overcome this and other inherent limitations when interpreting sensor-space topographies (Lopes da Silva, 2004), alpha activity during delay was projected to source space using an adaptive spatial filter in the frequency domain [dynamic imaging of coherent sources (DICS); Gross et al., 2001].”
MethodInfluentialFoxe, J. J., & Snyder, A. C. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00154 · Cited by 1,558 · cited 2×
“Enhanced alpha oscillations have become a welldocumented neural substrate of increased cognitive effort, in line with a functional, inhibitory role of alpha in controlling or gating local circuits of neural activity (Klimesch et al., 2007; Jensen and Mazaheri, 2010; Foxe and Snyder, 2011; Weisz et al., 2011).”
BackgroundJensen, O. B. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.8.877 · Cited by 1,279 · cited 2×
“…a function of memory load has been demonstrated unanimously in the Sternberg task, in which items have to be briefly retained in short-term memory, and higher memory load is known to elicit longer response times (Jensen et al., 2002; Leiberg et al., 2006; Nenert et al., 2012; Sander et al., 2012).”
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Items 101–196 of 196
Jenson, D., Thornton, D. M., Harkrider, A. W., & Saltuklaroglu, T. (2019) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2019.107098 · Cited by 16
Finding tau rhythms in EEG: An independent component analysis approach
Wisniewski, M. G., Joyner, C. N., Zakrzewski, A. C., & Makeig, S. (2024) · Human Brain Mapping · doi:10.1002/hbm.26572 · Cited by 13
“Several have found that greater effort is associated with increased total alpha power at electrode locations over posterior scalp (e.g., Obleser et al., 2012; Wisniewski et al., 2017; Wöstmann et al., 2017).”
BackgroundNeural dynamics underlying successful auditory short‐term memory performance
Pomper, U., Curetti, L. Z., & Chait, M. (2023) · bioRxiv · doi:10.1111/ejn.16140 · Cited by 13
“…reason for the current lack of observable PSD effects lies in the more complex stimulus characteristics (i.e. a mix of three simultaneous sound streams instead of a single stream used in previous work) and consequent potential variability in rehearsal strategies across trials and participants.”
BackgroundResultInfluentialCartocci, G., Inguscio, B. M., Giliberto, G., Vozzi, A., Giorgi, A., Greco, A., Babiloni, F., & Attanasio, G. (2023) · Brain Science · doi:10.3390/brainsci13071084 · Cited by 13
“Specifically, the areas of interest in such alpha increases are central-parietal [4,27] and occipital-parietal [28].”
BackgroundImpact of Effortful Word Recognition on Supportive Neural Systems Measured by Alpha and Theta Power
Ryan, D., Eckert, M., Sellers, E., Schairer, K., McBee, M. T., Jones, M. R., & Smith, S. L. (2022) · Ear and Hearing · doi:10.1097/aud.0000000000001211 · Cited by 13
“Previous research has shown when listeners attend to speech in background noise, or speech that has been spectrally degraded, changes in attention and memory load are reflected in alpha power (Dimitrijevic et al. 2017; Obleser et al. 2012; Paul et al. 2021; Wöstmann et al. 2015).”
BackgroundQuiñones, I., Amoruso, L., Pomposo, I., Robles, S. G., & Carreiras, M. (2021) · Cancers · doi:10.3390/cancers13112593 · Cited by 15
“Indeed, the location of the effect suggested by the gradiometer topographies is in line with previous MEG findings [30] and current fMRI results, showing changes in the lateralization of parietal, cingulated, and superior frontal nodes toward the right hemisphere, and also with past studies indicating that the parieta…”
BackgroundResultTóth, B., Honbolygó, F., Szalárdy, O., Orosz, G., Farkas, D., & Winkler, I. (2020) · Cortex · doi:10.1016/j.cortex.2020.06.007 · Cited by 15
Neuronal Oscillations Indicate Sleep-dependent Changes in the Cortical Memory Trace
Köster, M., Finger, H., Kater, M., Schenk, C., & Gruber, T. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01071 · Cited by 13
Age of Acquisition Modulates Alpha Power During Bilingual Speech Comprehension in Noise
Grant, A., Kousaie, S., Coulter, K., Gilbert, A., Baum, S., Gracco, V., Titone, D., Klein, D., & Phillips, N. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.865857 · Cited by 12
Neural network communication facilitates verbal working memory
Kustermann, T., Rockstroh, B. S., Miller, G. A., & Popov, T. G. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.05.018 · Cited by 12
Load and distinctness interact in working memory for lexical manual gestures
Rudner, M., Toscano, E., & Holmer, E. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01147 · Cited by 11
“However, Obleser et al. (2012) showed a potentiation of alpha power when working memory load was high and distinctness was low.”
BackgroundResultInfluentialMohsenpour, M., & Nazeri, A. (2019) · The SAGE Encyclopedia of Human Communication Sciences and Disorders · doi:10.4135/9781483380810.n364 · Cited by 12
Cartocci, G., Inguscio, B. M. S., Giorgi, A., Vozzi, A., Leone, C. A., Grassia, R., Nardo, W. D., Cesare, T. D., Fetoni, A. R., Freni, F., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288461 · Cited by 13
Alhanbali, S., Munro, K., Dawes, P., Perugia, E., & Millman, R. (2021) · International Journal of Audiology · doi:10.1080/14992027.2021.1899314 · Cited by 11
Evaluation of Riemannian ASR on cEEGrid data: an artifact correction method for BCIs
Blum, S., Mirkovic, B., & Debener, S. (2019) · IEEE International Conference on Systems, Man and Cybernetics · doi:10.1109/smc.2019.8914319 · Cited by 11
“In this investigation, we now want to extend our evaluation of rASR by evaluating its capabilities to correct muscle artifacts (electromyogenic artifacts, EMG) in the EEG data while preserving the power of the alpha frequency band (8-13 Hz), commonly related neural inhibitory processes and especially pronounced during…”
MethodKeur‐Huizinga, L., Kramer, S. E., de Geus, E. J. C., & Zekveld, A. A. (2024) · Ear and Hearing · doi:10.1097/aud.0000000000001508 · Cited by 14
“Other research investigating alpha power and listening effort that were not included in the current review also show inconsistent effects of auditory task demand (Obleser et al. 2012; Petersen et al. 2015; Ala et al. 2022).”
Neural signatures of task-related fluctuations in auditory attention and age-related changes
Herrmann, B., Maeß, B., Henry, M. J., Obleser, J., & Johnsrude, I. S. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119883 · Cited by 13
Self-citationGray, R., Sarampalis, A., Başkent, D., & Harding, E. E. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.806439 · Cited by 12
Working-memory disruption by task-irrelevant talkers depends on degree of talker familiarity
Kreitewolf, J., Wöstmann, M., Tune, S., Plöchl, M., & Obleser, J. (2018) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-019-01727-2 · Cited by 10
Self-citationThe Benefit of Attention-to-Memory Depends on the Interplay of Memory Capacity and Memory Load
Lim, S.-J., Wöstmann, M., Geweke, F., & Obleser, J. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00184 · Cited by 10
“…the amplitude of neural alpha oscillations (∼7–13 Hz) in the magneto-/electroencephalogram (M/EEG) is suggested to be a sensitive marker of cognitive resources allocated to a task: alpha power increases with higher memory load (Jensen et al., 2002; Tuladhar et al., 2007; Obleser et al., 2012).”
BackgroundSelf-citationModulation of alpha oscillations is required for the suppression of semantic interference.
Melnik, N., Mapelli, I., & Özkurt, T. (2017) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2017.05.007 · Cited by 10
Steinmetzger, K., & Rosen, S. (2017) · Brain and Language · doi:10.1016/j.bandl.2016.09.008 · Cited by 10
Villard, S., Perrachione, T., Lim, S.-J., Alam, A., & Kidd, G. (2023) · Journal of the Acoustical Society of America · doi:10.1121/10.0020539 · Cited by 9
Relationship between Memory Load and Listening Demands in Age-Related Hearing Impairment
Pauquet, J., Thiel, C. M., Mathys, C., & Rosemann, S. (2021) · Neural Plasticity · doi:10.1155/2021/8840452 · Cited by 11
“difficult—but still audible—listening conditions [9, 10].”
Reinten, I., de Ronde-Brons, I., Houben, R., & Dreschler, W. (2021) · Trends in Hearing · doi:10.1177/23312165211014437 · Cited by 9
Viswanathan, V., Bharadwaj, H. M., Heinz, M., & Shinn-Cunningham, B. (2023) · bioRxiv · doi:10.1038/s41598-023-37173-2 · Cited by 8
Degeest, S., Kestens, K., & Keppler, H. (2021) · Ear and Hearing · doi:10.1097/aud.0000000000001138 · Cited by 8
“…psychophysiological measures such as pupillometry (e.g., Kuchinsky et al. 2013), eye-movement tracking (e.g., BenDavid et al. 2011), galvanic skin response (e.g., Mackersie et al. 2015), or electroencephalography frequency bands (e.g., Obleser et al. 2012) can be used to explore listening effort.”
BackgroundVisual selective attention in individuals with age-related hearing loss
Zhu, M. S., Qiao, Y., Sun, W. H., Sun, Y., Long, Y., Guo, H., Cai, C., Shen, H., & Shang, Y. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120787 · Cited by 7
“…to executive functioning, working memory, attention, etc. (Adank, 2012; Davis and Johnsrude, 2003; Erb and Obleser, 2013; Grossman et al., 2002; McCoy et al., 2005; Obleser et al., 2012; Peelle et al., 2010; Piquado et al., 2010; Vaden et al., 2013; Wild et al., 2012; Wingfield and Grossman, 2006).”
BackgroundKemp, A. M., Eddins, D. A., Shrivastav, R., & Wray, A. H. (2019) · Journal of Speech Language and Hearing Research · doi:10.1044/2018_jslhr-h-17-0396 · Cited by 6
Comparison of Single-Task versus Dual-Task for Listening Effort
Kwak, C., & Han, W. (2017) · Journal of Audiology & Otology · doi:10.7874/jao.2017.00136 · Cited by 7
Xiu, B.-W., Paul, B. T., Chen, J. M., Le, T. N., Lin, V., & Dimitrijevic, A. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1043499 · Cited by 6
“Alpha power (power of neural oscillations between 8 and 12 Hz) as a potential neural marker of effort and demand has been studied extensively (Foxe and Snyder, 2011; Klimesch, 2012; Obleser et al., 2012; Strauß et al., 2014; Wostmann et al., 2015; Petersen et al., 2015; Dimitrijevic et al., 2019; Magosso et al., 2019;…”
BackgroundHunter, C. R. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.915349 · Cited by 6
“, Obleser and Weisz, 2011) as well as cognitive load (Obleser et al., 2012; Hunter, 2020), indicating that alpha power indexes allocation of cognitive resources during listening.”
BackgroundGutschalk, A. (2014) · Springer eBooks · doi:10.1007/978-3-642-33045-2_32 · Cited by 6
MacLean, J. A., Stirn, J. R., & Bidelman, G. M. (2025) · European Journal of Neuroscience · doi:10.1111/ejn.70100 · Cited by 4
“Related to task performance, phase-related changes and suppression of alpha activity have been shown to predict successful speech intelligibility in quiet and noise (Obleser et al. 2012; Strauß et al. 2015; Weisz et al. 2011).”
Acoustically Transparent Hearing Aids Increase Physiological Markers of Listening Effort
Kemper, M., Denk, F., Husstedt, H., & Obleser, J. (2025) · Trends in Hearing · doi:10.1177/23312165251333225 · Cited by 5
“Pupil size and parietal alpha power, derived from the electroencephalogram (EEG), were chosen, since both measures been shown to provide important insights in auditory experiments, e.g., focusing on listening effort (e.g., Kraus et al., 2023b; Obleser et al., 2012).”
Self-citationDoval, S., López‐Sanz, D., Bruña, R., Cuesta, P., Antón‐Toro, L. F., Taguas, I., Torres-Simón, L., Vilca, B. N. C., & Maestú, F. (2024) · Brain Topography · doi:10.1007/s10548-024-01064-0 · Cited by 12
Fleming, J. T., Njoroge, J., Noyce, A. L., Perrachione, T., & Shinn-Cunningham, B. G. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00130 · Cited by 5
“…visually presented letters and numbers ( Jensen et al., 2002; Klimesch et al., 1999; Schack & Klimesch, 2002), shapes ( Herrmann et al., 2004; Johnson et al., 2011), spatial information ( Bastiaansen et al., 2002), and auditory stimuli ( Lim et al., 2015; Obleser et al., 2012; Vogt et al., 1998).”
BackgroundAlpha-Band Dynamics of Hearing Aid Wearers Performing the Repeat-Recall Test (RRT)
Slugocki, C., Kuk, F., & Korhonen, P. (2024) · Trends in Hearing · doi:10.1177/23312165231222098 · Cited by 5
“Relevant to the RRT, alpha-band activity has also been observed to increase with memory load (Obleser et al., 2012), though the scalp topography of alpha activity may shift toward frontal electrode sites when re fl ecting the maintenance of memory contents as working memory is updated (Manza et al.,…”
MethodIs Recognition of Speech in Noise Related to Memory Disruption Caused by Irrelevant Sound?
Oberfeld, D., Staab, K., Kattner, F., & Ellermeier, W. (2024) · Trends in Hearing · doi:10.1177/23312165241262517 · Cited by 4
“For the auditory serial recall task, recordings of spoken German digits were used (Obleser et al., 2012).”
MethodKrueger, M., Schulte, M., & Brand, T. (2022) · Trends in Hearing · doi:10.1177/23312165221129407 · Cited by 5
“Neurophysiological methods such as electroencephalographic (EEG) responses (Obleser et al., 2012; Miles et al., 2017) and pupil dilation (e.g., Ohlenforst et al., 2017a; 1Hörzentrum Oldenburg gGmbH, Oldenburg, Germany 2Medizinische Physik, Department für Medizinische Physik und Akustik, Fakultät…”
MethodBaroni, F., Morillon, B., Trébuchon, A., Liégeois‐Chauvel, C., Olasagasti, I., & Giraud, A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/730002
When Group Means Fail: Can One Size Fit All?Preprint
Grandy, T. H., Lindenberger, U., & Werkle-Bergner, M. (2017) · bioRxiv · doi:10.1101/126490 · Cited by 5
Thalamic and parietal brain morphology predicts auditory category learning
Scharinger, M., Henry, M. J., Erb, J., Meyer, L., & Obleser, J. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.09.012 · Cited by 7
Self-citationDolhopiatenko, H., & Nogueira, W. (2025) · Hearing Research · doi:10.1016/j.heares.2025.109306 · Cited by 4
“Increased alpha power is associated with increased difficulty and subjective listening effort (Dimitrijevic et al., 2019; W ¨ ostmann et al., 2015; Obleser et al., 2012), we hypothesized that when a large temporal mismatch between two listening sides is present, CI users employ more cognitive…”
Neurophysiology of Effortful Listening: Decoupling Motivational Modulation from Task Demands
Kraus, F., Ross, B., Herrmann, B., & Obleser, J. (2024) · Journal of Neuroscience · doi:10.1101/2024.03.27.587038 · Cited by 4
“Neural oscillatory alpha power is sensitive to listening demands, likely reflecting top-down attentional modulation (Dimitrijevic et al., 2017; Herrmann et al., 2023; Kraus et al., 2023b; Obleser et al., 2012; Paul et al., 2021; Petersen et al., 2015; Weisz et al., 2011; Wöstmann et al., 2015).”
BackgroundResultInfluentialSelf-citationDoval, S., López-Sanz, D., Bruña, R., Cuesta, P., Antón-Toro, L., Taguas, I., Torres-Simón, L., Chino, B., & Maestú, F. (2023) · bioRxiv · doi:10.1101/2023.07.26.550635 · Cited by 4
“Alpha activity during resting-state primarily serves the physiological function of inhibiting cortical areas associated with primary processes, as extensively described (Jensen & Mazaheri, 2010; Obleser et al., 2012; van Dijk et al., 2008).”
Geng, S., Quiñones, I., Robles, S. G., Pomposo, I., Bermudez, G., Timofeeva, P., Molinaro, N., Carreiras, M., & Amoruso, L. (2023) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2023.108494 · Cited by 4
Yoneta, N., Watanabe, H., Shimojo, A., Takano, K., Saito, T., Yagyu, K., Shiraishi, H., Yokosawa, K., & Boasen, J. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.790057 · Cited by 5
Parkinson's disease affects the neural alpha oscillations associated with speech‐in‐noise processing
Groote, E. D., Eqlimi, E., Bockstael, A., Botteldooren, D., Santens, P., & Letter, M. D. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15477 · Cited by 4
The Effects of Hearing Aid Digital Noise Reduction and Directionality on Acceptable Noise Level
Ahmadi, R., Jalilvand, H., Mahdavi, M. E., Ahmadi, F., & Baghban, A. (2018) · Clinical and Experimental Otorhinolaryngology · doi:10.21053/ceo.2018.00052 · Cited by 4
“It has been shown DNR reduces adverse effects of noise on memory for speech, helps the hearing aid user in noisy conditions, and prevents cognitive load during auditory processing [3,4].”
BackgroundListening Effort for Soft Speech in Quiet
Husstedt, H., Schmidt, J. S., Wiederschein, L., Wiedenbeck, R., Kemper, M., & Denk, F. (2025) · Trends in Hearing · doi:10.1177/23312165251370006 · Cited by 3
“…electroencephalography (EEG) (Alhanbali et al., 2019; Bernarding et al., 2012, 2017; Fiedler et al., 2021; Haro et al., 2022; Miles et al., 2017; Obleser et al., 2012), event-related potentials (ERPs) (Obleser & Kotz, 2011), functional near-infrared spectroscopy (fNIRS) (Rovetti et al., 2019;…”
Wöstmann, M., Meineke, H. M., Schönweiler, R., Hollfelder, D., Bruchhage, K., Leichtle, A., & Obleser, J. (2025) · bioRxiv · doi:10.1093/cercor/bhaf244 · Cited by 3
“The set of numbers (adapted from Obleser et al. 2012) comprised the numbers 1 to 9, which were spoken by a female voice and adjusted to a duration of 500 ms each.”
Self-citationde la Chapelle, A., Serres-Blain, S., Elshafei, A., Schwartz, D., Daligault, S., Jung, J., Ruby, P., Caclin, A., & Bidet-Caulet, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-03378-w · Cited by 3
Reduced listening effort with adaptive binaural beamforming in realistic noisy environments
Valderrama, J., Mejia, J., Wong, A., Herbert, N. C., & Edwards, B. (2025) · Scientific Reports · doi:10.1038/s41598-025-95045-3 · Cited by 3
Brown, E. C., Bowers, A. L., Rafferty, M. B., Casenhiser, D. M., Reilly, K. J., Harkrider, A. W., & Saltuklaroglu, T. (2024) · Clinical Neurophysiology · doi:10.1016/j.clinph.2024.10.017 · Cited by 4
Neural correlates of listening to nonnative-accented speech in multi-talker background noise
Liu, Y., & van Hell, J. G. (2024) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2024.108968 · Cited by 4
Neurophysiological time course of timbre-induced music-like perception
Santoyo, A. E., Gonzales, M. G., Iqbal, Z. J., Backer, K. C., Balasubramaniam, R., Bortfeld, H., & Shahin, A. J. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00042.2023 · Cited by 5
NEUROTOKEN: Joint Source and Directional AAD with Envelope Decoding via Conditional Flow Matching
Alavi, A., & Williamson, D. (2026) · doi:10.48550/arxiv.2610.00397 · Cited by 2
“Selective attention modulates the entrainment of low-frequency ( 1 – 8 Hz) cortical activity to the envelope of the attended speech stream [12, 27, 31].”
Levy, O., Shadi, T., Korisky, A., Bleichner, M., & Golumbic, E. Z. (2025) · npj Science of Learning · doi:10.1038/s41539-025-00392-5 · Cited by 2
“Alphaoscillationsare themostdominantfeatureoftheEEGsignal,andenhancedalphaisoften associatedwithreducedattentiontoexternalstimuliandincreasedmind-wandering 84 – 90 .”
Alpha power indexes working memory load for durations
Herbst, S. K., Mangione, I., Ségerie, C.-R., Höchenberger, R., Kononowicz, T., Gramfort, A., & van Wassenhove, V. (2025) · bioRxiv · doi:10.1016/j.isci.2025.114212 · Cited by 2
“Thus, our results suggest that durations are itemized in working memory like any other mental events.”
Voice Familiarization Training Improves Speech Intelligibility and Reduces Listening Effort
Baxter, F., Smith, H. J., & Holmes, E. (2025) · Trends in Hearing · doi:10.1177/23312165251401318 · Cited by 2
“Nevertheless, studies examining listening effort using various methods have consistently reported that acoustically degrading speech (e.g., Obleser et al., 2012; Winn et al., 2015) and decreasing the signal-to-noise ratio between speech and competing sounds (e.g., Wendt et al., 2016; Wiggins et…”
Polo, E. M., Simeone, D., Mollura, M., Paglialonga, A., & Barbieri, R. (2024) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2024.110348 · Cited by 2
Behavioral Discrepancy of P300 and Cognitive Load in Varying Auditory Speech Perception
Bakar, A. R. A., Lai, K. W., & Hamzaid, N. A. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3260000 · Cited by 3
Older adults' neural tracking of interrupted speech is a function of task difficulty
Kurthen, I., Christen, A., Meyer, M., & Giroud, N. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119580 · Cited by 2
SpeechAdjuster: A Tool for Investigating Listener Preferences and Speech Intelligibility
Simantiraki, O., & Cooke, M. (2021) · Interspeech · doi:10.21437/interspeech.2021-324 · Cited by 2
“For instance, it would be of interest to compare S PEECH A DJUSTER -elicited preferences with listening effort metrics based on pupillometry [30, 31], EEG [32, 33] or self-reports [34, 35].”
MethodNeural mechanisms for coping with acoustically reduced speech
Zimmerer, F., Scharinger, M., Cornell, S. A., Reetz, H., & Eulitz, C. (2019) · Brain and Language · doi:10.1016/j.bandl.2019.02.001 · Cited by 2
Prestimulus neural alpha power predicts confidence in discriminating identical tonesPreprint
Wöstmann, M., Waschke, L., & Obleser, J. (2018) · bioRxiv · doi:10.1101/285577 · Cited by 2
“In detail, we applied a two-level statistical approach (Obleser et al., 2012): On the first (single-subject) level, we used an independent samples regression t-test, to regress time-frequency representations (–0.5 to 1.5 s relative to S1 onset; 1–20 Hz; all 22 electrodes) of single-trial phase…”
MethodInfluentialSelf-citationCognitive hearing aids? Insights and possibilities
Petersen, E. B., & Lunner, T. (2015) · doi:10.1063/1.4939399 · Cited by 2
Scharinger, M., Henry, M. J., & Obleser, J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.050 · Cited by 2
“These results add to previous research showing the IPL's involvement in auditory processing (Gaab et al., 2006; Husain et al., 2006; Jacquemot et al., 2003; Kiefer et al., 2008; Obleser et al., 2012).”
ResultSelf-citationBaboukani, P. S., Alickovic, E., Østergaard, J., & Eskelund, K. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70466 · Cited by 1
“In addition, cognitive factors such as working-memory capacity have been identified as important contributors to successful auditory learning and compensation strategies (Tremblay and Backer 2016; Obleser et al. 2012).”
Berdau, M., Padilla, D.-J. A., Brand, T., Rollwage, C., & Rennies, J. (2026) · Acta Acustica · doi:10.1051/aacus/2026011 · Cited by 1
“Methods of assessing LE can be divided into physiological, subjective and performance-based procedures: Common physiological procedures are electroencephalography [3, 4], pupillometry [5, 6] and skin conductance [7].”
Modulating speech tracking through brain state-dependent changes in audio loudness
Pérez, A., Insausti-Delgado, A., Park, H., & Ramos-Murguialday, A. (2025) · Journal of Neural Engineering · doi:10.1088/1741-2552/ae30ab · Cited by 1
Perron, M., Dimitrijevic, A., & Alain, C. (2025) · Trends in Hearing · doi:10.1177/23312165251375891 · Cited by 1
“Alpha power has been widely associated with cognitive effort during challenging listening conditions (e.g., Dimitrijevic et al., 2017; Dimitrijevic et al., 2019; Obleser et al., 2012; Paul et al., 2021; Petersen et al., 2015).”
Gagné, N., Greenlaw, K., & Coffey, E. B. J. (2025) · Hearing Research · doi:10.1016/j.heares.2025.109303 · Cited by 1
“…work has shown similar patterns across alpha and theta bands in response to task difficulty manipulations in the context of effortful listening (Obleser et al., 2012; Cartocci et al., 2018; Petersen et al., 2015), we opted to average the mean power across the two frequency bands to derive a…”
Beckers, L., Philips, B., Huinck, W. J., Mylanus, E., Büchner, A., & Kral, A. (2024) · Hearing Research · doi:10.1016/j.heares.2024.109167 · Cited by 1
“There is a possibility that in the present task, used in the reference to Obleser et al. (2012), the stimuli are more represented in numerical compared to verbal in working memory.”
InfluentialSendesen, E., & Turkyilmaz, D. (2024) · Brain and Behavior · doi:10.1002/brb3.3571 · Cited by 1
“When the stimulus’s difficulty level reached more severe, the EEG alpha band power started to decrease (Hunter, 2022; Li et al., 2020; Obleser & Weisz, 2012; Obleser et al., 2012).”
BackgroundMohammadi, Y., Graversen, C., Manresa, J. B., Østergaard, J., & Andersen, O. K. (2024) · Ear and Hearing · doi:10.1097/aud.0000000000001464 · Cited by 1
“Therefore, to test for a potential interaction effect of speech type and SNR in source data, we conducted a follow-up region of interest (ROI) analysis on those voxels belonging to both the significant clusters of each factor (Obleser et al. 2012).”
MethodLevy, O., Korisky, A., Zvilichovsky, Y., & Golumbic, E. Z. (2024) · bioRxiv · doi:10.1101/2024.01.05.574300 · Cited by 1
“While some have found enhanced alpha power when hearing degraded speech (Becker et al., 2013; Obleser et al., 2012; Wöstmann et al., 2015), others have found the opposite effect (Hauswald et al., 2022; Miles et al., 2017).”
BackgroundElmer, S., Besson, M., Rodríguez-Fornells, A., & Giroud, N. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120026 · Cited by 1
Kraft, N., Demarchi, G., & Weisz, N. (2019) · bioRxiv · doi:10.1101/626929 · Cited by 1
“g (Obleser et al., 2012)), putatively protecting the tobe-remembered information against interference.”
BackgroundUnfolding of a noise-invariant neural representation of attended speech
Fiedler, L., Wöstmann, M., Herbst, S. K., & Obleser, J. (2017) · bioRxiv · doi:10.1101/238642 · Cited by 1
Self-citationAlbouy, P. (2013) · theses.fr (ABES) · doi:10.70675/3a2ec67ez135cz4270z9560z3076929a213f · Cited by 1
Language usage shapes neural mechanisms of code-switching
Theron-Grimaldi, S., & Bozic, M. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1959633
“…2015; Ding et al., 2016; Doelling et al., 2014; Peelle et al., 2013), whereas Alpha activity has been more consistently linked to attention control and the regulation of relevant and irrelevant information (Klimesch, 2012; Obleser et al., 2012; Wöstmann et al., 2017; Dimitrijevic et al., 2017).”
InfluentialThe limits of listening: How cognitive load and cognitive capacity shape effort in speech perception
Nitsan, G., Banai, K., & Ben-David, B. M. (2026) · Speech Communication · doi:10.1016/j.specom.2026.103459
Cortical responses to the lack of high-frequency cues in musical emotion perception
Lee, J.-Y., Han, J.-H., & Lee, H.-J. (2026) · Scientific Reports · doi:10.1038/s41598-026-59462-2
Kharaman, M., Braun, B., & Eulitz, C. (2026) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2026.2644434
“…in different contexts); (2) t-values were subsequently z-transformed to account for different trial numbers in the cleaned data (as described in Obleser et al., 2012); (3) non-parametrical Monte Carlo cluster-based permutation tests with 2000 randomizations for 1600 ms after the onset of the…”
Cesare, T. D., Michieletto, P., Bonati, M. T., Caro, F. D., Cossu, P., Torelli, F., & Orzan, E. (2025) · Audiology Research · doi:10.3390/audiolres15060169
“It has been demonstrated that the cognitive effort related to challenging listening situations interferes with resources required for memory load and selective attention capacities [10].”
Sung, C.-C., Hsin, C.-H., Shiah, Y.-A., Lin, B.-J., Lai, Y.-X., Lee, C., Wang, Y.-T., Su, B., & Tsao, Y. (2026) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2026.3694178
“Studies have demonstrated that alpha activity indexes speech intelligibility, with suppressed alpha power reflecting successful comprehension and increased power reflecting greater listening e ff ort [25], [27], [28], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45].”
Effect of simultaneous physical and auditory stressors on cardiorespiratory response
Buj, C., Preuß, M., Mörsdorf, M., Schmidt, A., Guckel, D., Dumitrescu, D., Klein, F., Straetmans, L., Eichelberg, M., & Hein, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-96845-3
Sobczak, G. G., Zhou, X., Moore, L. E., Bolt, D. M., & Litovsky, R. Y. (2024) · PLoS ONE · doi:10.1371/journal.pone.0307158
Auditory selective attention during a working memory task with melodies: a MEG studyPreprint
Aurélien, D. L. C., Salomé, S.-B., Alma, E., Denis, S., Sébastien, D., Julien, J., Perrine, R., Anne, C., & Aurélie, B.-C. (2023) · bioRxiv · doi:10.1101/2023.09.19.558422
Neural signatures of task-related fluctuations in auditory attention change with agePreprint
Herrmann, B., Maess, B., Henry, M. J., Obleser, J., & Johnsrude, I. (2022) · bioRxiv · doi:10.1101/2022.04.12.487991
Self-citationXiu, B.-W., Paul, B. T., Chen, J. M., Le, T. N., Lin, V., & Dimitrijevic, A. (2022) · bioRxiv · doi:10.1101/2022.09.02.506424
“…oscillations between 8–12 Hz) as a potential neural marker of effort and demand has been studied extensively (Foxe and Snyder, 2011; Klimesch, 2012; Obleser et al., 2012; Strauß et al., 2014; Wostmann et al., 2015; Petersen et al., 2015; Dimitrijevic et al., 2019; Magosso et al., 2019; Price et…”
BackgroundFleming, J. T., Njoroge, J. M., Noyce, A. L., Perrahione, T. K., & Shinn‐Cunningham, B. G. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.20.440675 · Cited by 1
“…letters and numbers (Jensen et al., 2002; Klimesch et al., 1999; Schack & Klimesch, 841 2002), shape information (Herrmann et al., 2004; Johnson et al., 2011), spatial information 842 (Bastiaansen et al., 2002), and auditory stimuli (Lim et al., 2015; Obleser et al., 2012; Vogt et al., 843 1998).”
BackgroundTemporal expectation modulates cortical dynamics of sensory memory
Wilsch, A., Henry, M. J., Herrmann, B., Herrmann, C., & Obleser, J. (2017) · bioRxiv · doi:10.1101/201756
“The SMG has previously been observed to be crucial for stimulus maintenance in auditory working memory (van Dijk et al., 2010; Obleser et al., 2012 for increased alpha power in SMG during auditory working memory; Paulesu et al., 1993).”
BackgroundSelf-citationNeural and Cognitive Effects of Hearing Loss on Speech Processing
Petersen, E. B. (2017) · Studies from the Swedish Institute for Disability Research · doi:10.3384/diss-diva-134255 · Cited by 1
“During adverse listening conditions, higher cognitive load has been linked to an increase in the power of the neural alpha activity (Obleser et al., 2012).”
BackgroundMethodInfluential
Metadata
- Authors
- Obleser, J., Wöstmann, M., Hellbernd, N., Wilsch, A., & Maess, B.
- Affiliations
- Max Planck Society (DE)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-09-05
- Volume
- 32
- Issue
- 36
- Pages
- 12376-12383
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6621258
- OpenAlex
- W2042701078
- Cited by
- 224
- References
- 60
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 26 · 2023: 18 · 2022: 17 · 2021: 19 · 2020: 14 · 2019: 20 · 2018: 21 · 2017: 18 · 2016: 15 · 2015: 16 · 2014: 11 · 2013: 7
- FWCI
- 5.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Keywords
- alpha oscillations, working memory, acoustic degradation, Sternberg paradigm, magnetoencephalography, source localization, parietal cortex, executive function, response time prediction
- MeSH terms
- Acoustic Stimulation, Adult, Alpha Rhythm, Auditory Perception, Female, Humans, Male, Memory, Short-Term, Nerve Net, Reaction Time, Young Adult
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