ArticleCommunications biology2021
Auditory cortical micro-networks show differential connectivity during voice and speech processing in humans.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 6 citations in OpenAlex.
- Investigating acoustic startle priming-induced cortical network reorganization in post-stroke dysarthria: a fNIRS study.Biomedical optics express · 2026Article
- Behavioral and neural aftermath of right inferior frontal cortex disruption on ambiguous vocal emotion decisional processes.Scientific reports · 2026Article
- Aberrant Emotional Prosody Circuitry Predicts Social Communication Impairments in Children With Autism.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- Psychopathic and autistic traits differentially influence the neural mechanisms of social cognition from communication signals.Translational psychiatry · 2022Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
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Abstract
The temporal voice areas (TVAs) in bilateral auditory cortex (AC) appear specialized for voice processing. Previous research assumed a uniform functional profile for the TVAs which are broadly spread along the bilateral AC. Alternatively, the TVAs might comprise separate AC nodes controlling differential neural functions for voice and speech decoding, organized as local micro-circuits. To investigate micro-circuits, we modeled the directional connectivity between TVA nodes during voice processing in humans while acquiring brain activity using neuroimaging. Results show several bilateral AC nodes for general voice decoding (speech and non-speech voices) and for speech decoding in particular. Furthermore, non-hierarchical and differential bilateral AC networks manifest distinct excitatory and inhibitory pathways for voice and speech processing. Finally, while voice and speech processing seem to have distinctive but integrated neural circuits in the left AC, the right AC reveals disintegrated neural circuits for both sounds. Altogether, we demonstrate a functional heterogeneity in the TVAs for voice decoding based on local micro-circuits.
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