ArticleProceedings of the National Academy of Sciences of the United States of America2020
A unified neurocomputational bilateral model of spoken language production in healthy participants and recovery in poststroke aphasia.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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
23 citing papers in PubMed, 40 citations in OpenAlex.
- Right C7 neurotomy at the intervertebral foramen plus intensive speech and language therapy versus intensive speech and language therapy alone for chronic post-stroke aphasia: multicentre, randomised controlled trial.BMJ (Clinical research ed.) · 2025Trial
- Right Hemisphere Functional Connectivity Increases in Proportion to Left Hemisphere Lesion Size, but Not Within the Language Network.Human brain mapping · 2026Observational
- Right hemisphere language network plasticity in aphasia.Brain : a journal of neurology · 2026Article
- Hemispheric Network Dynamics During Auditory Language Comprehension and Its Clinical Implications Regarding Resting-State Functional Magnetic Resonance Imaging.Journal of speech, language, and hearing research : JSLHR · 2026Article
- An Imaging-Guided Neural Model Explains Lexical Stress Alteration in Acquired Apraxia of Speech.Human brain mapping · 2025Article
- Independent contributions of language activations in left and right temporal cortex to aphasia outcomes after stroke.medRxiv : the preprint server for health sciences · 2025Article
- Right Hemisphere Language Network Plasticity in Aphasia.medRxiv : the preprint server for health sciences · 2025Article
- Mapping the task-general and task-specific neural correlates of speech production: Meta-analysis and fMRI direct comparisons of category fluency and picture naming.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Disentangling neuroplasticity mechanisms in post-stroke language recovery.Brain and language · 2024Review
- Phase-encoded fMRI tracks down brainstorms of natural language processing with subsecond precision.Human brain mapping · 2024Article
- Modelling individual differences in reading using an optimised MikeNet simulator: the impact of reading instruction.Frontiers in human neuroscience · 2024Article
- The volume and the distribution of premorbid white matter hyperintensities: Impact on post-stroke aphasia.Human brain mapping · 2024Article
- Against cortical reorganisation.eLife · 2023Article
- Using in vivo functional and structural connectivity to predict chronic stroke aphasia deficits.Brain : a journal of neurology · 2023Article
- Distinct but cooperating brain networks supporting semantic cognition.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- The influence of oral vocabulary knowledge on individual differences in a computational model of reading.Scientific reports · 2023Article
- With childhood hemispherectomy, one hemisphere can support-but is suboptimal for-word and face recognition.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Direct Neural Evidence for the Contrastive Roles of the Complementary Learning Systems in Adult Acquisition of Native Vocabulary.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- The multidimensional nature of aphasia recovery post-stroke.Brain : a journal of neurology · 2022Article
- Retained Primitive Reflexes and Potential for Intervention in Autistic Spectrum Disorders.Frontiers in neurology · 2022Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Understanding the processes underlying normal, impaired, and recovered language performance has been a long-standing goal for cognitive and clinical neuroscience. Many verbally described hypotheses about language lateralization and recovery have been generated. However, they have not been considered within a single, unified, and implemented computational framework, and the literatures on healthy participants and patients are largely separated. These investigations also span different types of data, including behavioral results and functional MRI brain activations, which augment the challenge for any unified theory. Consequently, many key issues, apparent contradictions, and puzzles remain to be solved. We developed a neurocomputational, bilateral pathway model of spoken language production, designed to provide a unified framework to simulate different types of data from healthy participants and aphasic patients. The model encapsulates key computational principles (differential computational capacity, emergent division of labor across pathways, experience-dependent plasticity-related recovery) and provides an explanation for the bilateral yet asymmetric lateralization of language in healthy participants, chronic aphasia after left rather than right hemisphere lesions, and the basis of partial recovery in patients. The model provides a formal basis for understanding the relationship between behavioral performance and brain activation. The unified model is consistent with the degeneracy and variable neurodisplacement theories of language recovery, and adds computational insights to these hypotheses regarding the neural machinery underlying language processing and plasticity-related recovery following damage.
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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.