ArticleNeuroImage. Clinical2019
The effects of lesion and treatment-related recovery on functional network modularity in post-stroke dysgraphia.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01927302 (The Center for the Neurobiology of Language Recovery), which is not on this map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The Center for the Neurobiology of Language Recovery (CNLR)
Who cites it
18 citing papers in PubMed, 30 citations in OpenAlex.
- Disrupted interhemispheric communication in primary progressive aphasia: a multimodal MRI study of homotopic connectivity.NeuroImage. Clinical · 2026Article
- The Reorganization of Cerebellar Functional Network Topology in Post-stroke Aphasia: A Resting-State fMRI Study.Molecular neurobiology · 2026Article
- Network flexibility facilitates treatment-induced recovery in post-stroke aphasia.Brain communications · 2026Article
- Test-retest reliability of edge-level resting-state functional connectivity in people with aphasia.Neuroimage. Reports · 2025Article
- The role of spatial processing in verbal serial order working memory.Cognitive, affective & behavioral 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
- The right hemisphere's capacity for language: evidence from primary progressive aphasia.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Multimodal Neural and Behavioral Data Predict Response to Rehabilitation in Chronic Poststroke Aphasia.Stroke · 2022Article
- Inter-hemispheric synchronicity and symmetry: The functional connectivity consequences of stroke and neurodegenerative disease.NeuroImage. Clinical · 2022Article
- Abnormally weak functional connections get stronger in chronic stroke patients who benefit from naming therapy.Brain and language · 2021Article
- Post-Stroke Cognitive Impairment: Pathophysiological Insights into Brain Disconnectome from Advanced Neuroimaging Analysis Techniques.Journal of stroke · 2021Review
- Investigating the network consequences of focal brain lesions through comparisons of real and simulated lesions.Scientific reports · 2021Article
- Disrupted Brain Connectivity Networks in Aphasia Revealed by Resting-State fMRI.Frontiers in aging neuroscience · 2021Article
- Different patterns of functional network reorganization across the variants of primary progressive aphasia: a graph-theoretic analysis.Neurobiology of aging · 2020Article
- How functional network connectivity changes as a result of lesion and recovery: An investigation of the network phenotype of stroke.Cortex; a journal devoted to the study of the nervous system and behavior · 2020Article
- Pre-treatment graph measures of a functional semantic network are associated with naming therapy outcomes in chronic aphasia.Brain and language · 2020Article
- Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks.Network neuroscience (Cambridge, Mass.) · 2020Article
- Neuroplasticity in Aphasia: A Proposed Framework of Language Recovery.Journal of speech, language, and hearing research : JSLHR · 2019Review
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 1 country.
Funding
Abstract
A better understanding of the neural network properties that support cognitive recovery after a brain lesion is important for our understanding of human neuroplasticity and may have valuable clinical implications. In fifteen individuals with chronic, acquired written language deficits subsequent to left-hemisphere stroke, we used task-based functional connectivity to evaluate the relationship between the graph-theoretic measures (modularity, participation coefficient and within-module degree z-score) and written language production accuracy before and after behavioral treatment. A reference modular structure and local and global hubs identified from healthy controls formed the basis of the analyses. Overall, the investigation revealed that less modular networks with greater global and lower local integration were associated with greater deficit severity and lower response to treatment. Furthermore, we found treatment-induced increases in modularity and local integration measures. In particular, local integration within intact ventral occipital-temporal regions of the spelling network showed the greatest increase in local integration following treatment. This investigation significantly extends previous research by using task-based (rather than resting-state) functional connectivity to examine a larger set of network characteristics in the evaluation of treatment-induced recovery and by including comparisons with control participants. The findings demonstrate the relevance of network modularity for understanding the neuroplasticity supporting functional neural reorganization.
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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.