scholarly journals Statistical context shapes stimulus-specific adaptation in human auditory cortex

2015 ◽  
Vol 113 (7) ◽  
pp. 2582-2591 ◽  
Author(s):  
Björn Herrmann ◽  
Molly J. Henry ◽  
Elisa Kim Fromboluti ◽  
J. Devin McAuley ◽  
Jonas Obleser
Keyword(s):  
Auditory Cortex ◽  
Computational Modeling ◽  
Large Change ◽  
Neural Response ◽  
Response Magnitude ◽  
Implicit Assumption ◽  
Specific Adaptation ◽  
Spectral Changes ◽  
Human Auditory Cortex ◽  
Small Change

Stimulus-specific adaptation is the phenomenon whereby neural response magnitude decreases with repeated stimulation. Inconsistencies between recent nonhuman animal recordings and computational modeling suggest dynamic influences on stimulus-specific adaptation. The present human electroencephalography (EEG) study investigates the potential role of statistical context in dynamically modulating stimulus-specific adaptation by examining the auditory cortex-generated N1 and P2 components. As in previous studies of stimulus-specific adaptation, listeners were presented with oddball sequences in which the presentation of a repeated tone was infrequently interrupted by rare spectral changes taking on three different magnitudes. Critically, the statistical context varied with respect to the probability of small versus large spectral changes within oddball sequences (half of the time a small change was most probable; in the other half a large change was most probable). We observed larger N1 and P2 amplitudes (i.e., release from adaptation) for all spectral changes in the small-change compared with the large-change statistical context. The increase in response magnitude also held for responses to tones presented with high probability, indicating that statistical adaptation can overrule stimulus probability per se in its influence on neural responses. Computational modeling showed that the degree of coadaptation in auditory cortex changed depending on the statistical context, which in turn affected stimulus-specific adaptation. Thus the present data demonstrate that stimulus-specific adaptation in human auditory cortex critically depends on statistical context. Finally, the present results challenge the implicit assumption of stationarity of neural response magnitudes that governs the practice of isolating established deviant-detection responses such as the mismatch negativity.

scholarly journals The specificity of stimulus-specific adaptation in human auditory cortex increases with repeated exposure to the adapting stimulus

2013 ◽  
Vol 110 (12) ◽  
pp. 2679-2688 ◽  
Author(s):  
Paul M. Briley ◽  
Katrin Krumbholz
Keyword(s):  
Auditory Cortex ◽  
Fold Increase ◽  
Stimulus Onset ◽  
Frequency Separation ◽  
Specific Adaptation ◽  
Neuron Populations ◽  
Fatigue Model ◽  
Rate Of Decay ◽  
Human Auditory Cortex ◽  
Onset Asynchrony

The neural response to a sensory stimulus tends to be more strongly reduced when the stimulus is preceded by the same, rather than a different, stimulus. This stimulus-specific adaptation (SSA) is ubiquitous across the senses. In hearing, SSA has been suggested to play a role in change detection as indexed by the mismatch negativity. This study sought to test whether SSA, measured in human auditory cortex, is caused by neural fatigue (reduction in neural responsiveness) or by sharpening of neural tuning to the adapting stimulus. For that, we measured event-related cortical potentials to pairs of pure tones with varying frequency separation and stimulus onset asynchrony (SOA). This enabled us to examine the relationship between the degree of specificity of adaptation as a function of frequency separation and the rate of decay of adaptation with increasing SOA. Using simulations of tonotopic neuron populations, we demonstrate that the fatigue model predicts independence of adaptation specificity and decay rate, whereas the sharpening model predicts interdependence. The data showed independence and thus supported the fatigue model. In a second experiment, we measured adaptation specificity after multiple presentations of the adapting stimulus. The multiple adapters produced more adaptation overall, but the effect was more specific to the adapting frequency. Within the context of the fatigue model, the observed increase in adaptation specificity could be explained by assuming a 2.5-fold increase in neural frequency selectivity. We discuss possible bottom-up and top-down mechanisms of this effect.

scholarly journals Learning of New Sound Categories Shapes Neural Response Patterns in Human Auditory Cortex

2012 ◽  
Vol 32 (38) ◽  
pp. 13273-13280 ◽  
Author(s):  
A. Ley ◽  
J. Vroomen ◽  
L. Hausfeld ◽  
G. Valente ◽  
P. De Weerd ◽  
...  
Keyword(s):  
Auditory Cortex ◽  
Neural Response ◽  
Response Patterns ◽  
Human Auditory Cortex

scholarly journals Combining ultra-high-field fMRI adaptation and computational modelling to estimate neuronal frequency selectivity in human auditory cortex

2022 ◽  
Author(s):  
Julien Besle ◽  
Rosa-Maria Sánchez-Panchuelo ◽  
Susan Francis ◽  
Katrin Krumbholz
Keyword(s):  
Auditory Cortex ◽  
Frequency Tuning ◽  
Computational Modelling ◽  
Frequency Selectivity ◽  
Bold Response ◽  
Specific Adaptation ◽  
Tuning Curves ◽  
Frequency Independent ◽  
Human Auditory Cortex ◽  
Fmri Adaptation

Frequency selectivity is a ubiquitous property of auditory neurons. Measuring it in human auditory cortex may be crucial for understanding common auditory deficits, but current non-invasive neuroimaging techniques can only measure the aggregate response of large populations of cells, thereby overestimating tuning width. Here we attempted to estimate neuronal frequency tuning in human auditory cortex using a combination of fMRI-adaptation paradigm at 7T and computational modelling. We measured the BOLD response in the auditory cortex of eleven participants to a high frequency (3.8 kHz) probe presented alone or preceded by adaptors at different frequencies (0.5 to 3.8 kHz). From these data, we derived both the response tuning curves (the BOLD response to adaptors alone as a function of adaptor frequency) and adaptation tuning curves (the degree of response suppression to the probe as a function of adaptor frequency, assumed to reflect neuronal tuning) in primary and secondary auditory cortical areas, delineated in each participant. Results suggested the existence of both frequency-independent and frequency-specific adaptation components, with the latter being more frequency-tuned than response tuning curves. Using a computational model of neuronal adaptation and BOLD non-linearity in topographically-organized cortex, we demonstrate both that the frequency-specific adaptation component overestimates the underlying neuronal frequency tuning and that frequency-specific and frequency-independent adaptation component cannot easily be disentangled from the adaptation tuning curve. By fitting our model directly to the response and adaptation tuning curves, we derive a range of plausible values for neuronal frequency tuning. Our results suggest that fMRI adaptation is suitable for measuring neuronal frequency tuning properties in human auditory cortex, provided population effects and the non-linearity of BOLD response are taken into account.

Tonotopic representation of missing fundamental complex sounds in the human auditory cortex

2003 ◽  
Vol 18 (2) ◽  
pp. 432-440 ◽  
Author(s):  
Takako Fujioka ◽  
Bernhard Ross ◽  
Hidehiko Okamoto ◽  
Yasuyuki Takeshima ◽  
Ryusuke Kakigi ◽  
...  
Keyword(s):  
Auditory Cortex ◽  
Complex Sounds ◽  
Human Auditory Cortex ◽  
Missing Fundamental

scholarly journals Stimulus-specific adaptation in auditory thalamus of young and aged awake rats

2013 ◽  
Vol 110 (8) ◽  
pp. 1892-1902 ◽  
Author(s):  
Ben D. Richardson ◽  
Kenneth E. Hancock ◽  
Donald M. Caspary
Keyword(s):  
Young Adult ◽  
Auditory Cortex ◽  
Brown Norway ◽  
Oddball Paradigm ◽  
Adult Rats ◽  
Specific Adaptation ◽  
Auditory Thalamus ◽  
Gating Mechanism ◽  
Medial Geniculate ◽  
Awake Rats

Novel stimulus detection by single neurons in the auditory system, known as stimulus-specific adaptation (SSA), appears to function as a real-time filtering/gating mechanism in processing acoustic information. Particular stimulus paradigms allowing for quantification of a neuron's ability to detect novel or deviant stimuli have been used to examine SSA in the inferior colliculus, medial geniculate body (MGB), and auditory cortex of anesthetized rodents. However, the study of SSA in awake animals is limited to auditory cortex. The present study used individually advanceable tetrodes to record single-unit responses from auditory thalamus (MGB) of awake young adult and aged Fischer Brown Norway (FBN) rats to 1) examine the presence of SSA in the MGB of awake rats and 2) determine whether SSA is altered by aging in MGB. MGB single units in awake FBN rats displayed SSA in response to two stimulus paradigms: the oddball paradigm and a random blocked/interleaved presentation of a set of frequencies. SSA levels were modestly, but nonsignificantly, increased in the nonlemniscal regions of the MGB and at lower stimulus intensities, where 27 of 57 (47%) young adult MGB units displayed SSA. The present findings provide the initial description of SSA in the MGB of awake rats and support SSA as being qualitatively independent of arousal level or anesthetized state. Finally, contrary to previous studies in auditory cortex of anesthetized rats, MGB units in aged rats showed SSA levels indistinguishable from SSA levels in young adult rats, suggesting that SSA in MGB was not impacted by aging in an awake preparation.

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