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Matthews, K. L.

Publications and source records attributed to Matthews, K. L..

4 recordsLinked to original sources

A Neurotomographic Approach for Mesoscale Mapping of Neural Circuits

BackgroundBrain regions integrate neural information arriving from several convergent projection sources. At the mesoscale level, neural projections can potentially span both hemispheres and extend along the entire rostrocaudal axis, which complicates efforts to map their full extent. To address this issue, we describe a novel method for mapping such mesoscale connectivity in vivo and ex vivo. Our neurotomographic approach utilizes micro-computed tomography (micro-CT) to image the spatial distribution of neural tracers bound to high Z-elements, e.g, gold. MethodsIn this study, we conjugated colloidal gold to a retrograde tracer wheat-germ agglutinin apo-horseradish peroxidase (WGA-HRP) and then stereotactically injected the gold-bound tracer (WAHG) into the mouse forebrain. Micro-CT was then used to image the brain in vivo and ex vivo, followed by three-dimensional reconstruction of tracer distribution. We then validated our approach by histologically processing the brains using silver enhancement to label gold particles; this enabled a direct comparison of histological labeling with the neurotomographic images. ResultsWe found that micro-CT imaging could reveal the major spatial distributions of the gold-bound tracer, which was consistent across in vivo and ex vivo imaging conditions. Moreover, the neurotomographically determined patterns corresponded with the labeling observed in histologically processed tissue, with the major sites of labeling reliably detected in reconstructed neurotomographic images. ConclusionsOverall, our findings demonstrate a potential novel method for non-destructive, three-dimensional mapping of neural tracers in vivo. This novel approach can potentially guide targeted multi-site recordings, enable validation of injection site placement, and facilitate rapid longitudinal connectomic analyses in vivo.

neuroscience↗

DIFFERENTIAL CONTRIBUTIONS OF THE SPECTRO-TEMPORAL AND VOCAL CHARACTERISTICS OF AUDITORY PSEUDOWORDS TO MULTIPLE SOUND-SYMBOLIC MAPPINGS

In spoken language, iconic (sound-symbolic) words are those whose sounds convey their meaning. Iconicity is widespread in natural languages, whether signed or spoken, but its instantiation across different domains of meaning has not been systematically studied. Here, participants rated a set of 537 auditory pseudowords on opposing dimensions of eight different sound-symbolic domains: shape (rounded-pointed), roughness (smooth-rough), hardness (hard-soft), weight (light-heavy), size (small-big), brightness (bright-dark), arousal (calming-exciting), and valence (good-bad). Ratings showed cross-domain relationships, some mirroring those between corresponding physical domains, e.g. size and weight ratings were associated, reflecting a physical size-weight relationship, while others involved figurative relationships, e.g. bright/dark mapped onto good/bad, respectively. Using four separate multiple regression analyses, we found that the phonetic categories, phonemic associations, and acoustic associations at both the whole-item and segmental levels, formed unique sets with characteristic feature weightings for each meaning domain studied. For the majority (12 of 16 dimensions), the phonemic regression accounted for the most variance in the ratings, followed by the phonetic category, segmental acoustic and whole-item acoustic regressions. We conclude that pseudoword iconicity is present across a range of meaning domains, with domain-specific patterns of linguistic and acoustic properties. Linguistic characterizations best captured judgments of iconicity across domains, suggesting that these properties represent the bundles of acoustic, articulatory, and abstract linguistic factors that may underlie iconicity in spoken language.

neuroscience↗

Phonetic underpinnings of sound symbolism across multiple domains of meaning

Sound symbolism occurs when the sound of a word alone can convey its meaning, e.g. balloon and spike sound rounded and pointed, respectively. Sound-symbolic correspondences are widespread in natural languages, but it is unclear how they are instantiated across different domains of meaning. Here, participants rated auditory pseudowords on opposing scales of seven different sound-symbolic domains: shape (rounded-pointed), texture (hard-soft), weight (light-heavy), size (small-big), brightness (bright-dark), arousal (calming-exciting), and valence (good-bad). Ratings showed cross-domain relationships, some mirroring those between corresponding physical domains, e.g. size and weight ratings were associated, reflecting a physical size-weight relationship, while others involved metaphorical mappings, e.g., bright/dark mapped onto good/bad, respectively. The phonetic features of the pseudowords formed unique sets with characteristic feature weightings for each domain and tended to follow the cross-domain ratings relationships. These results suggest that sound-symbolic correspondences rely on domain-specific patterns of phonetic features, with cross-domain correspondences reflecting physical or metaphorical relationships.

neuroscience↗

NEURAL BASIS OF SOUND-SYMBOLIC PSEUDOWORD-SHAPE CORRESPONDENCES

Non-arbitrary mapping between the sound of a word and its meaning, termed sound symbolism, is commonly studied through crossmodal correspondences between sounds and visual shapes, e.g., auditory pseudowords, like mohloh and kehteh, are matched to rounded and pointed visual shapes, respectively. Here, we used functional magnetic resonance imaging (fMRI) during a crossmodal matching task to investigate the hypotheses that sound symbolism (1) involves language processing; (2) depends on multisensory integration; (3) reflects embodiment of speech in hand movements. These hypotheses lead to corresponding neuroanatomical predictions of crossmodal congruency effects in (1) the language network; (2) areas mediating multisensory processing, including visual and auditory cortex; (3) regions responsible for sensorimotor control of the hand and mouth. Right-handed participants (n = 22) encountered audiovisual stimuli comprising a simultaneously presented visual shape (rounded or pointed) and an auditory pseudoword ( mohloh or kehteh) and indicated via a right-hand keypress whether the stimuli matched or not. Reaction times were faster for congruent than incongruent stimuli. Univariate analysis showed that activity was greater for the congruent compared to the incongruent condition in the left primary and association auditory cortex, and left anterior fusiform/parahippocampal gyri. Multivoxel pattern analysis revealed higher classification accuracy for the audiovisual stimuli when congruent than when incongruent, in the pars opercularis of the left inferior frontal (Brocas area), the left supramarginal, and the right mid-occipital gyri. These findings, considered in relation to the neuroanatomical predictions, support the first two hypotheses and suggest that sound symbolism involves both language processing and multisensory integration. HIGHLIGHTSO_LIfMRI investigation of sound-symbolic correspondences between auditory pseudowords and visual shapes C_LIO_LIFaster reaction times for congruent than incongruent audiovisual stimuli C_LIO_LIGreater activation in auditory and visual cortices for congruent stimuli C_LIO_LIHigher classification accuracy for congruent stimuli in language and visual areas C_LIO_LISound symbolism involves language processing and multisensory integration C_LI

neuroscience↗