Denis Schluppeck

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.

Tonotopy is a fundamental feature of auditory cortical organization, yet its influence on cortical auditory-evoked responses (AERs) remains unclear. Consequently, key properties of cortical AERs—such as their marked amplitude reduction with increasing stimulus frequency—still lack a coherent mechanistic explanation. To address this gap, we combined a meta-analysis of frequency-specific AER amplitudes with forward simulations of AERs informed by current knowledge of auditory cortical tonotopic layout and functional organization. The meta-analysis used a semi-systematic search covering all known automatic cortical AER components—both transient-evoked and steady-state—along with selected subcortical components for comparison. Forward simulations were based on a functional parcellation of the human supratemporal auditory region into subdivisions forming distinct tonotopic maps, and an idealized model of each division's intrinsic tonotopic layout. Parcellation was achieved using a novel, largely automated procedure applied to high-field (3 T) and ultra-high-field (7 T) functional and microstructural MRI mapping data from 30 individual hemispheres. Meta-analytic results revealed that, whilst all cortical AER components consistently show frequency-related amplitude reduction, reduction is greater in steady-state compared to transient-evoked components. Simulations indicated that frequency-related amplitude reduction arising from cortical morphology is confined to the highly myelinated central portion of Heschl's gyrus, suggesting that differences in reduction amount between steady-state and transient-evoked components may reflect differences in the relative strengths of their primary contributions. Our findings provide a new perspective on cortical AER generation. They represent an important step toward explaining morphology-related variability in AER amplitudes and establishing a quantitative link to underlying source strengths.

SARS-CoV-2, the virus responsible for the Covid-19 pandemic, has been shown to have an impact on cognitive function, but the specific aspects of cognition that are affected remain unclear. In this Registered Report, we analysed cognitive data collected online from 296 participants (209 who had experienced Covid-19 infection and 87 who did not). We have found previously reported effect of Covid status on accuracy in 2 long-term memory tasks (verbal item memory task and nonverbal associative memory task), but did not replicate previously reported effect on reaction times. Further, across 4 long-term memory tasks, we found consistent effect of Covid status on memory accuracy but not reaction times. Contrary to our predictions, we did not find an interaction with memory type (associative vs. item) or stimulus type (verbal vs. nonverbal). Moreover, we compared cognitive functioning amongst vaccinated and unvaccinated individuals to explore the role of vaccination status in cognitive symptoms associated with Covid-19. Using Bayesian analysis, we did not find conclusive evidence for either the null or alternative hypothesis. Overall, the study replicates and extends previously reported findings, thereby providing valuable insights into the effects of SARS-CoV-2 infection on cognitive functions.

FMRI studies that investigate somatotopic tactile representations in the human cortex typically use either block or phase-encoded stimulation designs. Event-related (ER) designs allow for more flexible and unpredictable stimulation sequences than the other methods, but they are less efficient. Here, we compared an efficiency-optimized fast ER design (2.8-s average intertrial interval; ITI) to a conventional slow ER design (8-s average ITI) for mapping voxelwise fingertip tactile tuning properties in the sensorimotor cortex of six participants at 7 Tesla. The fast ER design yielded more reliable responses compared with the slow ER design, but with otherwise similar tuning properties. Concatenating the fast and slow ER data, we demonstrate in each individual brain the existence of two separate somatotopically-organized tactile representations of the fingertips, one in the primary somatosensory cortex (S1) on the postcentral gyrus, and the other shared across the motor and premotor cortices on the precentral gyrus. In both S1 and motor representations, fingertip selectivity decreased progressively, from narrowly-tuned Brodmann area (BA) 3b and BA4a, respectively, toward associative parietal and frontal regions that responded equally to all fingertips, suggesting increasing information integration along these two pathways. In addition, fingertip selectivity in S1 decreased from the cortical representation of the thumb to that of the pinky.

Loss of vision across large parts of the visual field is a common and devastating complication of cerebral strokes. In the clinic, this loss is quantified by measuring the sensitivity threshold across the field of vision using static perimetry. These methods rely on the ability of the patient to report the presence of lights in particular locations. While perimetry provides important information about the intactness of the visual field, the approach has some shortcomings. For example, it cannot distinguish where in the visual pathway the key processing deficit is located. In contrast, brain imaging can provide important information about anatomy, connectivity, and function of the visual pathway following stroke. In particular, functional magnetic resonance imaging (fMRI) and analysis of population receptive fields (pRF) can reveal mismatches between clinical perimetry and maps of cortical areas that still respond to visual stimuli after stroke. Here, we demonstrate how information from different brain imaging modalities—visual field maps derived from fMRI, lesion definitions from anatomical scans, and white matter tracts from diffusion weighted MRI data—provides a more complete picture of vision loss. For any given location in the visual field, the combination of anatomical and functional information can help identify whether vision loss is due to absence of gray matter tissue or likely due to white matter disconnection from other cortical areas. We present a combined imaging acquisition and visual stimulus protocol, together with a description of the analysis methodology, and apply it to datasets from four stroke survivors with homonymous field loss (two with hemianopia, two with quadrantanopia). For researchers trying to understand recovery of vision after stroke and clinicians seeking to stratify patients into different treatment pathways, this approach combines multiple, convergent sources of data to characterize the extent of the stroke damage. We show that such an approach gives a more comprehensive measure of residual visual capacity—in two particular respects: which locations in the visual field should be targeted and what kind of visual attributes are most suited for rehabilitation.