ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2021
The dynamic connectome of speech control.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Structural and functional brain alterations in laryngeal dystonia: A coordinate-based activation likelihood estimation meta-analysis.Human brain mapping · 2024Pooled it
- Sodium Oxybate in Alcohol-Responsive Essential Tremor of Voice: An Open-Label Phase II Study.Movement disorders : official journal of the Movement Disorder Society · 2023Trial
- Linking GABAergic and Dopaminergic Neurotransmission: Effects on Neural Activity During Human Speech Control.Human brain mapping · 2026Article
- Focused ultrasound thalamotomy improves voice tremor in essential tremor: objective insight from artificial intelligence.Scientific reports · 2026Article
- Utilizing multivariate pattern analysis to uncover the neurobiological underpinnings of communication disorders in children with bilateral spastic cerebral palsy: insights from morphological and structural connectivity changes.Quantitative imaging in medicine and surgery · 2026Article
- Abnormal Brain Iron Metabolism is Linked to Altered Neural Function in Isolated Laryngeal Dystonia.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- DIVA Meets EEG: Model Validation Using Formant-Shift Reflex.Applied sciences (Basel, Switzerland) · 2023Article
- Effects of deep brain stimulation of the subthalamic nucleus on patients with Parkinson's disease: a machine-learning voice analysis.Frontiers in neurology · 2023Article
- Digital Content-Free Speech Analysis Tool to Measure Affective Distress in Mental Health: Evaluation Study.JMIR formative research · 2022Article
- Vocal learning in animals and humans.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
Speech production relies on the orchestrated control of multiple brain regions. The specific, directional influences within these networks remain poorly understood. We used regression dynamic causal modelling to infer the whole-brain directed (effective) connectivity from functional magnetic resonance imaging data of 36 healthy individuals during the production of meaningful English sentences and meaningless syllables. We identified that the two dynamic connectomes have distinct architectures that are dependent on the complexity of task production. The speech was regulated by a dynamic neural network, the most influential nodes of which were centred around superior and inferior parietal areas and influenced the whole-brain network activity via long-ranging coupling with primary sensorimotor, prefrontal, temporal and insular regions. By contrast, syllable production was controlled by a more compressed, cost-efficient network structure, involving sensorimotor cortico-subcortical integration via superior parietal and cerebellar network hubs. These data demonstrate the mechanisms by which the neural network reorganizes the connectivity of its influential regions, from supporting the fundamental aspects of simple syllabic vocal motor output to multimodal information processing of speech motor output. This article is part of the theme issue 'Vocal learning in animals and humans'.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.