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Krumbholz, K.

Publications and source records attributed to Krumbholz, K..

2 recordsLinked to original sources

Frequency magnification in human primary auditory cortex nearly predicts behavioural frequency hyperacuity

The auditory system decomposes sounds into different frequencies, but does not represent them equally: in the human cochlea, lower frequencies occupy a larger spatial extent than higher frequencies, creating a quasi-logarithmic frequency map with finer low-frequency resolution. It remains unclear whether the primary auditory cortex preserves this quasi-logarithmic frequency mapping, or further magnifies behaviourally relevant frequencies, analogous to the foveal over-magnification in primary visual cortex that is thought to underpin visual hyperacuity phenomena such as Vernier acuity. Here, we used ultra-high field functional magnetic resonance imaging to quantify frequency magnification in the primary auditory cortex of 20 human listeners. We compared cortical frequency magnification to predictions based on published estimates of either cochlear frequency resolution or behavioural frequency discrimination performance, a form of perceptual frequency hyperacuity. Cortical frequency magnification was better predicted by frequency discrimination performance than by cochlear frequency resolution, with an additional unexpected over-representation of frequencies around 1 kHz. These findings suggest that frequency discrimination is constrained by cortical processes rather than by frequency information available at the cochlea, consistent with similar observations in the visual and tactile systems.

neuroscience↗

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

Measuring neuronal frequency selectivity in human auditory cortex may be crucial for understanding common auditory deficits such as speech-in-noise difficulty. Non-invasive methods measure aggregate responses of large populations of neurons and therefore overestimate single-neuron tuning selectivity. Here we explore whether cortical frequency selectivity can be estimated through fMRI adaptation. Using ultra-high-field (7T) BOLD-fMRI and individualized functional parcellation of auditory cortex, we measured the suppression (or adaptation) of primary and non-primary cortical responses to a high-frequency (3.8 kHz) probe sound as a function of the frequency of a preceding adaptor sound (ranging from 0.5 to 3.8 kHz). The degree of frequency tuning of the adaptation effect strongly depended on the temporal structure of the adaptor. Suppression by a single 200-ms adaptor showed little or no tuning, despite clear frequency tuning of the responses to the different adaptors. In contrast, suppression by multiple (four) 50-ms adaptor bursts was clearly tuned, with greater frequency selectivity than the adaptor response tuning, suggesting that fMRI adaption to multiple adaptors may reflect the frequency tuning of the underlying neuronal response. Importantly, adaptation tuning differed between primary and non-primary regions, suggesting a local suppression effect, rather than inheritance from upstream subcortical structures. Using a computational model of fMRI adaptation in a tonotopically-organized neuronal array, we identify key factors determining the relationship between observed fMRI adaptation tuning and the frequency selectivity of the underlying neuronal response. Using this model, we derive a plausible range for the frequency selectivity of individual neurons in each region of auditory cortex.

neuroscience↗