Biology subjects

Damera, S. R.

Publications and source records attributed to Damera, S. R..

3 recordsLinked to original sources

bioRxiv2025

Evidence for hierarchical representations of written and spoken words from an open-science human neuroimaging dataset

Reading and speech recognition rely on multi-level processing that builds from basic visual or sound features to complete word representations, yet details of these processing hierarchies (in particular those for spoken words) are still poorly understood. We re-analyzed the functional magnetic resonance imaging (fMRI) data provided in the Mother Of all Unification Studies (MOUS) open-science dataset by using parametric regressions of word frequency and sublexical unit (bigram or syllable) frequency during reading and speech listening tasks in order to elucidate lexical processing hierarchies in the visual and auditory modalities. We first validated our approach in the written word domain, where the technique identified significant correlations for word frequency in the left mid-fusiform cortex (at the location of the Visual Word Form Area) with a left occipital region tracking bigram frequency, compatible with prior reports. During listening, low-frequency spoken words elicited greater responses in a left mid-superior temporal region consistent with the recently-described Auditory Word Form Area (AWFA), while a more posterior region of the superior temporal gyrus was sensitive to syllable frequency. Activation in the left inferior frontal gyrus correlated with both written and spoken word frequency. These findings demonstrate parallel hierarchical organizations in the anteroventral visual and auditory streams, with modality-specific lexica and upstream sublexical representations that converge in higher-order language areas.

neuroscience↗

bioRxiv2022

Evidence for a Spoken Word Lexicon in the Auditory Ventral Stream

The existence of a neural representation for whole words (i.e., a lexicon) is a common feature of many models of speech processing. Prior studies have provided evidence for a visual lexicon containing representations of whole written words in an area of the ventral visual stream known as the "Visual Word Form Area" (VWFA). Similar experimental support for an auditory lexicon containing representations of spoken words has yet to be shown. Using fMRI rapid adaptation techniques, we provide evidence for an auditory lexicon in the "Auditory Word Form Area" (AWFA) in the human left anterior superior temporal gyrus that contains representations highly selective for individual spoken words. Furthermore, we show that familiarization with novel auditory words sharpens the selectivity of their representations in the AWFA. These findings reveal strong parallels in how the brain represents written and spoken words, showing convergent processing strategies across modalities in the visual and auditory ventral streams. HighlightsO_LIIndividual auditory word form areas (AWFA) were defined via an auditory localizer C_LIO_LIThe AWFA shows tuning for individual real words but not untrained pseudowords C_LIO_LIThe AWFA develops tuning for individual pseudowords after training C_LI

neuroscience↗

bioRxiv2021

Metamodal Coupling of Vibrotactile and Auditory Speech Processing Systems Through Matched Stimulus Representations

It has been postulated that the brain is organized by "metamodal", sensory-independent cortical modules implementing particular computations, leading to the intriguing hypothesis that brain areas can perform tasks (such as word recognition) not just in "standard" sensory modalities but also in novel sensory modalities. Yet, evidence for this theory, especially in neurotypical subjects, has been variable. We hypothesized that effective metamodal engagement of a brain area requires congruence between the novel and standard sensory modalities not only at the task level (e.g., "word recognition") but critically also a match at the algorithmic level (in Marrs terminology), i.e., at the level of neural representation of the information of interest. To test this hypothesis, we trained participants to recognize vibrotactile versions of auditory words using two encoding schemes. The vocoded approach preserved the dynamics and representational similarities of auditory speech while the token-based approach used an abstract phoneme-based code. Although both groups learned the vibrotactile word recognition task, only in the vocoded group did trained vibrotactile stimuli recruit the auditory speech network and lead to increased coupling between somatosensory and auditory speech areas. In contrast, the token-based encoding appeared to rely on paired-associate learning. Thus, matching neural input representations is a critical factor for assessing and leveraging the metamodal potential of cortical modules.

neuroscience↗