The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Network dysfunction predicts speech production after left hemisphere stroke
Open accessAbstract
OBJECTIVE: To investigate the role of multiple distributed brain networks, including the default mode, fronto-temporo-parietal, and cingulo-opercular networks, which mediate domain-general and task-specific processes during speech production after aphasic stroke. METHODS: We conducted an observational functional MRI study to investigate the effects of a previous left hemisphere stroke on functional connectivity within and between distributed networks as patients described pictures. Study design included various baseline tasks, and we compared results to those of age-matched healthy participants performing the same tasks. We used independent component and psychophysiological interaction analyses. RESULTS: Although activity within individual networks was not predictive of speech production, relative activity between networks was a predictor of both within-scanner and out-of-scanner language performance, over and above that predicted from lesion volume, age, sex, and years of education. Specifically, robust functional imaging predictors were the differential activity between the default mode network and both the left and right fronto-temporo-parietal networks, respectively activated and deactivated during speech. We also observed altered between-network functional connectivity of these networks in patients during speech production. CONCLUSIONS: Speech production is dependent on complex interactions among widely distributed brain networks, indicating that residual speech production after stroke depends on more than the restoration of local domain-specific functions. Our understanding of the recovery of function following focal lesions is not adequately captured by consideration of ipsilesional or contralesional brain regions taking over lost domain-specific functions, but is perhaps best considered as the interaction between what remains of domain-specific networks and domain-general systems that regulate behavior.
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“Other recent findings have highlighted the important role of interactions between domain-general cognitive networks and language specific systems in therapy-induced aphasia recovery [41].”
From Aphasia Recovery: When, How and Who to Treat? (2018) · cites this paper as [41]
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The Brain's Default Network: Anatomy, Function, and Relevance to Disease
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The human brain is intrinsically organized into dynamic, anticorrelated functional networks
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Dissociable intrinsic connectivity networks for salience processing and executive control
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Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
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Correspondence of the brain's functional architecture during activation and rest
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Investigations into resting-state connectivity using independent component analysis
Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1634 · Cited by 3,398
Distinct brain networks for adaptive and stable task control in humans
Dosenbach, N. U. F., Fair, D. A., Miezin, F. M., Cohen, A. L., Wenger, K. K., Dosenbach, R. A. T., Fox, M. D., Snyder, A. Z., Vincent, J. L., Raichle, M. E., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704320104 · Cited by 2,632
Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
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Meta-analyzing left hemisphere language areas: phonology, semantics, and sentence processing.
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fMRI reveals language-specific predictive coding during naturalistic sentence comprehension
Shain, C., Blank, I. A., van Schijndel, M., Schuler, W., & Fedorenko, E. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107307 · Cited by 215
Aphasia Recovery: When, How and Who to Treat?
Doogan, C., Dignam, J., Copland, D., & Leff, A. (2018) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-018-0891-x · Cited by 110
A voice without a mouth no more: The neurobiology of language and consciousness
Skipper, J. I. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104772 · Cited by 31
Metadata
- Authors
- Geranmayeh, F., Leech, R., & Wise, R. J. S.
- Affiliations
- Hammersmith Hospital (GB)
- From the Computational Cognitive and Clinical Neuroimaging Laboratory, Imperial College, Hammersmith Hospital Campus, London, UK.
- Venue
- Neurology
- Published
- 2016-04-05
- Volume
- 86
- Issue
- 14
- Pages
- 1296-1305
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC4826341
- OpenAlex
- W2341719454
- Cited by
- 92
- References
- 43
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 6 · 2023: 5 · 2022: 14 · 2021: 7 · 2020: 9 · 2019: 11 · 2018: 8 · 2017: 10 · 2016: 3
- FWCI
- 6.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Medical Research Council (MR/K014129/1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hemispheric Asymmetry in Neuroscience
- Keywords
- aphasia, left hemisphere stroke, speech production, functional connectivity, default mode network, cingulo-opercular network, language recovery, lesion volume, domain-general processes
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