Objective: Birdsong sounds are often used to inform visually-challenged people about the presence of basic infrastructures, and therefore need to be salient in noisy urban environments. How salient sounds are processed in the brain could inform us about the optimal birdsong in such environments. However, brain activity related to birdsong salience is not yet known.
Methods: Oscillatory magnetoencephalographic (MEG) activities and subjective salience induced by six birdsongs under three background noise conditions were measured. Thirteen participants completed the MEG measurements and 11 participants took part in the paired-comparison tests. We estimated the power of induced oscillatory activities, and explored the relationship between subjective salience of birdsongs and the power of induced activities using sparse regression analysis.
Results: According to sparse regression analysis, the subjective salience was explained by the power of induced alpha (8-13 Hz) in the frontal region, induced beta (13-30 Hz) in the occipital region, and induced gamma (30-50 Hz) in the parietal region. The power of the frontal alpha and parietal gamma activities significantly varied across both birds and noise conditions.
Conclusion: These results indicate that frontal alpha activity is related to the salience of birdsong and that parietal gamma activity is related to differences in salience across noisy environments. These results suggest that salient birdsong under a noisy environment activates the bottom-up attention network.
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http://dx.doi.org/10.1097/WNR.0000000000001563 | DOI Listing |
Sci Rep
January 2025
Department of Psychology, Division of Neuropsychology, University of Constance, Fach 905, Universitaetsstrasse 10, 78464, Constance, Germany.
Adverse early-life experiences alter the regulation of major stress systems such as the hypothalamic-pituitary-adrenal (HPA) axis. Low early-life maternal care (MC) has repeatedly been related to blunted cortisol stress responses. Likewise, an acutely increased awareness of mortality (mortality salience [MS]) also has been shown to blunt cortisol responses.
View Article and Find Full Text PDFJ Neurophysiol
January 2025
Department of Psychological and Brain Sciences, Boston University, Boston, MA, 02215.
Visuocortical responses are regulated by gain control mechanisms, giving rise to fundamental neural and perceptual phenomena such as surround suppression. Suppression strength, determined by the composition and relative properties of stimuli, controls the strength of neural responses in early visual cortex, and in turn, the subjective salience of the visual stimulus. Notably, suppression strength is modulated by feature similarity; for instance, responses to a center-surround stimulus in which the components are collinear to each other are weaker than when they are orthogonal.
View Article and Find Full Text PDFPsychiatry Res Neuroimaging
December 2024
Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AE, Eindhoven, Netherlands; Department of Research and Development, Epilepsy Centre Kempenhaeghe, Sterkselseweg 65, 5590 AB, Heeze, Netherlands.
Research Purpose: Subjective clinical decision-making in major depressive disorder (MDD) may result in low treatment effectiveness. This study aims to identify objective predictors of MDD outcome using resting-state functional MRI scans, acquired from 25 MDD patients at baseline. Over a year, patients were assessed every 3 months, labeled as positive or negative outcome (change in depression severity).
View Article and Find Full Text PDFCogn Neurodyn
December 2024
Graduate School of Systems Life Sciences, Kyushu University, Fukuoka, Japan.
In human perceptual decision-making, the speed-accuracy tradeoff establishes a causal link between urgency and reduced accuracy. Less is known about how speed relates to the subjective evaluation of visual images. Here, we conducted a set of four experiments to tease apart two alternative hypotheses for the relation between speed and subjective evaluation.
View Article and Find Full Text PDFNeurobiol Stress
January 2025
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
Fear learning is pivotal for organismal survival, ensuring the ability to avoid potential threats through learning based on experiencing minimal fear information. In reality, fear learning requires to form a structured representation of fear experiences from multiple dimensions in order to support flexible use in ever-changing environment. Yet, the underlying neural mechanisms of constructing dimensional fear space remain elusive.
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