ArticleBrain connectivity2016
Increased Modularity of Resting State Networks Supports Improved Narrative Production in Aphasia Recovery.
Article in Brain connectivity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 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.
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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
42 citing papers in PubMed, 63 citations in OpenAlex.
- Mechanisms associated with tDCS as an adjuvant to shortened phonomotor treatment in chronic post-stroke aphasia.Neuroimage. Reports · 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
- Network flexibility facilitates treatment-induced recovery in post-stroke aphasia.Brain communications · 2026Article
- Dynamic functional reorganization in post-stroke aphasia: a state-of-the-art fMRI review from disease evolution to intervention.Frontiers in neuroscience · 2026Review
- The structural reserve of brain networks influences outcomes after a stroke.Brain communications · 2026Article
- Naming practice effects and inconsistencies relate to treatment outcome in people with aphasia.Neuropsychologia · 2025Article
- Test-retest reliability of edge-level resting-state functional connectivity in people with aphasia.Neuroimage. Reports · 2025Article
- How Can Graph Theory Inform the Dual-stream Model of Speech Processing? A Resting-state Functional Magnetic Resonance Imaging Study of Stroke and Aphasia Symptomology.Journal of cognitive neuroscience · 2025Article
- Resting-state brain network connectivity is an independent predictor of responsiveness to language therapy in chronic post-stroke aphasia.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Measures of resting-state brain network segregation and integration vary in relation to data quantity: implications for within and between subject comparisons of functional brain network organization.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Subacute aphasia recovery is associated with resting-state connectivity within and beyond the language network.Annals of clinical and translational neurology · 2023Article
- Tracking functional network connectivity dynamics in the elderly.Frontiers in neuroscience · 2023Article
- Resting State Network Segregation Modulates Age-Related Differences in Language Production.Neurobiology of language (Cambridge, Mass.) · 2023Article
- Graph theoretical approach to brain remodeling in multiple sclerosis.Network neuroscience (Cambridge, Mass.) · 2023Article
- Review
- Mapping correlated neurological deficits after stroke to distributed brain networks.Brain structure & function · 2022Review
- Predictors of Therapy Response in Chronic Aphasia: Building a Foundation for Personalized Aphasia Therapy.Journal of stroke · 2022Review
- Transcranial Direct-Current Stimulation as an Adjunct to Verb Network Strengthening Treatment in Post-stroke Chronic Aphasia: A Double-Blinded Randomized Feasibility Study.Frontiers in neurology · 2022Article
- Plasticity of the language system in children and adults.Handbook of clinical neurology · 2022Review
- Abnormal Brain Network Interaction Associated With Positive Symptoms in Drug-Naive Patients With First-Episode Schizophrenia.Frontiers in psychiatry · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The networks that emerge in the analysis of resting state functional magnetic resonance imaging (rsfMRI) data are believed to reflect the intrinsic organization of the brain. One key property of such complex biological networks is modularity, a measure of community structure. This topological characteristic changes in neurological disease and recovery. Nineteen subjects with language disorders after stroke (aphasia) underwent neuroimaging and behavioral assessment at multiple time points before (baseline) and after an imitation-based therapy. Language was assessed with a narrative production task. Group independent component analysis was performed on the rsfMRI data to identify resting state networks (RSNs). For each participant and each rsfMRI acquisition, we constructed a graph comprising all RSNs. We assigned nodal community based on a region's RSN membership, calculated the modularity score, and then correlated changes in modularity and therapeutic gains on the narrative task. We repeated this comparison controlling for pretherapy performance and using a community structure not based on RSN membership. Increased RSN modularity was positively correlated with improvement on the narrative task immediately post-therapy. This finding remained significant when controlling for pretherapy performance. There were no significant findings for network modularity and behavior when nodal community was assigned without consideration of RSN membership. We interpret these findings as support for the adaptive role of network segregation in behavioral improvement in aphasia therapy. This has important clinical implications for the targeting of noninvasive brain stimulation in poststroke remediation and suggests potential for further insight into the processes underlying such changes through computational modeling.
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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.