From bird to sparrow: Learning-induced modulations in fine-grained semantic discrimination

Meo, Rosanna De; Bourquin, Nathalie M.-P.; Knebel, Jean-François; Murray, Micah M.; Clarke, Stéphanie

doi:10.1016/j.neuroimage.2015.05.091

Cited by 9 publications

(9 citation statements)

References 72 publications

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“…In order to cope with multiple comparisons, we used conservative statistical thresholds and only considered as significant globular clusters of at least 20 contiguous nodes each with a p -value of ≤ 0.01 (Knebel et al, 2011; De Meo et al, 2015). The spatial criterion of 20 nodes was determined through the “AlphaSim” software (http://afni.nimh.nih.gov) with a 10 mm FWMH smoothing and 10 mm radius of connected poles, together with the node p -value of <0.005 that we applied.…”

Section: Methodsmentioning

confidence: 99%

Electrical Neuroimaging of Music Processing in Pianists With and Without True Absolute Pitch

et al. 2019

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True absolute pitch (AP), labeling of pitches with semitone precision without a reference, is classically studied using isolated tones. However, AP is acquired and has its function within complex dynamic musical contexts. Here we examined event-related brain responses and underlying cerebral sources to endings of short expressive string quartets, investigating a homogeneous population of young highly trained pianists with half of them possessing true-AP. The pieces ended regularly or contained harmonic transgressions at closure that participants appraised. Given the millisecond precision of ERP analyses, this experimental plan allowed examining whether AP alters music processing at an early perceptual, or later cognitive level, or both, and which cerebral sources underlie differences with non-AP musicians. We also investigated the impact of AP on general auditory cognition. Remarkably, harmonic transgression sensitivity did not differ between AP and non-AP participants, and differences for auditory cognition were only marginal. The key finding of this study is the involvement of a microstate peaking around 60 ms after musical closure, characterizing AP participants. Concurring sources were estimated in secondary auditory areas, comprising the planum temporale, all transgression conditions collapsed. These results suggest that AP is not a panacea to become a proficient musician, but a rare perceptual feature.

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Section: Methodsmentioning

confidence: 99%

Electrical Neuroimaging of Music Processing in Pianists With and Without True Absolute Pitch

et al. 2019

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“…In addition, although electrical source imaging methods using spherical head models and template anatomical images similar to ours have been successfully applied in different cognitive and clinical domains (James et al, 2008 , 2015 ; Britz et al, 2009 , 2014 ; Corrigan et al, 2009 ; Knebel et al, 2011 ; Geukes et al, 2013 ; Plomp et al, 2013 ; Rihs et al, 2013 ; De Meo et al, 2015 ), they can only guarantee centimeter spatial accuracy (Plomp et al, 2010 ).…”

Section: Discussionmentioning

confidence: 82%

“…We computed an ANOVA EX (3, inter) × T (3, intra) at all nodes of the 3D-grid representing the grey matter of the brain using the Statistical Toolbox for Electrical Neuroimaging (STEN; http://www.unil.ch/line/en/home/menuinst/about-the-line/software--analysis-tools.html ). To cope with multiple comparisons, only globular clusters composed of minimum 10 contiguous nodes with an individual p -value of < 0.005 met our significance criterion (Knebel et al, 2011 ; De Meo et al, 2015 ). Moreover, the spatial criterion of 10 contiguous nodes was verified using the AlphaSim program ( http://afni.nimh.nih.gov ) under the assumption of a spatial smoothing of 7 mm FWMH (full width at half maximum) and a maximum cluster connection radius of 10 mm in combination with the node p-value of < 0.005 that we applied.…”

Section: Methodsmentioning

confidence: 99%

“…In consequence, the temporal resolution of fMRI is limited to several seconds (Menon and Crottaz-Herbette, 2005 ). Although fMRI resolution is an order of magnitude better than that of EEG, with millimeter vs. centimeter precision (Martuzzi et al, 2009 ; Plomp et al, 2010 ; Birot et al, 2014 ), electrical source imaging methods using scalp EEG similar to the ones used in the current study have been successfully applied in different experimental and clinical domains (James et al, 2008 , 2015 ; Britz et al, 2009 , 2014 ; Plomp et al, 2010 , 2013 ; Knebel et al, 2011 ; Rihs et al, 2013 ; De Meo et al, 2015 ). The validity and precision of source localizations based on high-density EEG (more than 100 electrodes), when using sophisticated source and head models, are generally underestimated (Michel et al, 2004 ; Plomp et al, 2010 ; Michel and Murray, 2012 ).…”

Section: Introductionmentioning

confidence: 90%

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Electrical Neuroimaging of Music Processing Reveals Mid-Latency Changes with Level of Musical Expertise

et al. 2017

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This original research focused on the effect of musical training intensity on cerebral and behavioral processing of complex music using high-density event-related potential (ERP) approaches. Recently we have been able to show progressive changes with training in gray and white matter, and higher order brain functioning using (f)MRI [(functional) Magnetic Resonance Imaging], as well as changes in musical and general cognitive functioning. The current study investigated the same population of non-musicians, amateur pianists and expert pianists using spatio-temporal ERP analysis, by means of microstate analysis, and ERP source imaging. The stimuli consisted of complex musical compositions containing three levels of transgression of musical syntax at closure that participants appraised. ERP waveforms, microstates and underlying brain sources revealed gradual differences according to musical expertise in a 300–500 ms window after the onset of the terminal chords of the pieces. Within this time-window, processing seemed to concern context-based memory updating, indicated by a P3b-like component or microstate for which underlying sources were localized in the right middle temporal gyrus, anterior cingulate and right parahippocampal areas. Given that the 3 expertise groups were carefully matched for demographic factors, these results provide evidence of the progressive impact of training on brain and behavior.

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“…Successful discrimination of heartbeat sounds is believed to benefi t mainly from acoustical training [2]. From recent studies of auditory training [3,4] we hypothesized that semantic representations outside the auditory cortex contribute to diagnostic accuracy in cardiac auscultation. To test this hypothesis, we analysed auditory evoked potentials (AEPs) which were recorded from medical students while they diagnosed quadruplets of heartbeat cycles.…”

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confidence: 99%

What makes medical students better listeners?

Meo¹,

Matusz²,

Knebel

et al. 2016

Current Biology

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Diagnosing heart conditions by auscultation is an important clinical skill commonly learnt by medical students. Clinical proficiency for this skill is in decline [1], and new teaching methods are needed. Successful discrimination of heartbeat sounds is believed to benefit mainly from acoustical training [2]. From recent studies of auditory training [3,4] we hypothesized that semantic representations outside the auditory cortex contribute to diagnostic accuracy in cardiac auscultation. To test this hypothesis, we analysed auditory evoked potentials (AEPs) which were recorded from medical students while they diagnosed quadruplets of heartbeat cycles. The comparison of trials with correct (Hits) versus incorrect diagnosis (Misses) revealed a significant difference in brain activity at 280-310 ms after the onset of the second cycle within the left middle frontal gyrus (MFG) and the right prefrontal cortex. This timing and locus suggest that semantic rather than acoustic representations contribute critically to auscultation skills. Thus, teaching auscultation should emphasize the link between the heartbeat sound and its meaning. Beyond cardiac auscultation, this issue is of interest for all fields where subtle but complex perceptual differences identify items in a well-known semantic context.

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From bird to sparrow: Learning-induced modulations in fine-grained semantic discrimination

Cited by 9 publications

References 72 publications

Electrical Neuroimaging of Music Processing in Pianists With and Without True Absolute Pitch

Electrical Neuroimaging of Music Processing in Pianists With and Without True Absolute Pitch

Electrical Neuroimaging of Music Processing Reveals Mid-Latency Changes with Level of Musical Expertise

What makes medical students better listeners?

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