Intrinsic functional architecture of the human speech processing network
Abstract
Speech engages distributed temporo-fronto-parietal brain regions, however a comprehensive understanding of its intrinsic functional network architecture is lacking. Here we investigate the human speech processing network using the largest sample to date, high temporal resolution resting-state fMRI data, network stability analysis, and theoretically informed models. Network consensus analysis revealed three stable functional modules encompassing: (1) superior temporal plane (STP) and Area Spt, (2) superior temporal sulcus (STS) + ventral frontoparietal cortex, and (3) dorsal frontoparietal cortex. The STS + ventral frontoparietal cortex module showed the highest participation coefficient, and a hub-like organization linking STP with frontoparietal cortical nodes. Node-wise analysis revealed key connectivity features underlying this modular architecture, including a leftward asymmetric connectivity profile, and differential connectivity of STS and STP, with frontoparietal cortex. Our findings, replicated across cohorts, reveal a tripartite functional network architecture supporting speech processing and provide a novel template for future studies.
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These convergence zones may serve as connector hubs that integrate information across DMN subnetworks.
“These convergence zones may serve as connector hubs 84,115 that integrate information across DMN subnetworks, thereby facilitating flexible and adaptive integration of self-referential, social, episodic memory, language, and semantic memory processes described in this review.”
From 20 years of the default mode network: A review and synthesis. (2023) · cites this paper as [115]
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20 years of the default mode network: A review and synthesis.
Menon, V. (2023) · Neuron · doi:10.1016/j.neuron.2023.04.023 · Cited by 934 · see citing works
“These convergence zones may serve as connector hubs 84,115 that integrate information across DMN subnetworks, thereby facilitating flexible and adaptive integration of self-referential, social, episodic memory, language, and semantic memory processes described in this review.”
BackgroundSelf-citation
- Authors
- Abrams, D. A., Kochalka, J., Bhide, S., Ryali, S., & Menon, V.
- Affiliations
- Stanford Medicine (US)
- Corresponding author
- Abrams, Daniel A.
- Menon, Vinod
- Venue
- Cortex
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 129
- Pages
- 41-56
- ISSN
- 0010-9452 (ISSN-L)
- OpenAlex
- W3019705493
- Cited by
- 16
- References
- 9
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 1 · 2023: 3 · 2022: 6 · 2020: 1
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Cortex (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Deafness and Other Communication Disorders
- Singer Family Foundation
- National Institute of Mental Health
- Simons Foundation Autism Research Initiative
- Eunice Kennedy Shriver National Institute of Child Health and Human Development
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Keywords
- superior temporal sulcus, network stability, network hubs, hemispheric lateralization, resting-state functional connectivity
- MeSH terms
- Brain Mapping, Humans, Magnetic Resonance Imaging, Parietal Lobe, Speech, Temporal Lobe
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