ArticleBrain structure & function2024
Network-based statistics distinguish anomic and Broca's aphasia.
Article in Brain structure & function, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 15 citations in OpenAlex.
- Stratified Efficacy and Peripheral Neuroinflammatory Mechanisms of Jin's Tongue Triple Acupuncture as Adjunctive Therapy for Subacute Post-Stroke Broca Aphasia: A 1:1 PSM Retrospective Cohort Study.Journal of molecular neuroscience : MN · 2026Article
- Validation and cross-cultural adaptation of the Bedside Language test for Brazilian patients.Dementia & neuropsychologia · 2026Article
- Beyond the cerebral cortex: cerebellar language-related subregions contributions to fluency in post-stroke aphasia.NeuroImage. Clinical · 2026Article
- Test-retest reliability of edge-level resting-state functional connectivity in people with aphasia.Neuroimage. Reports · 2025Article
- The Use of Neurologic Music Therapy in Post-Stroke Aphasia Recovery: A Case Report on Linguistic Improvements and fMRI Correlates.Journal of clinical medicine · 2025Article
- From MRIcro to MRIcron: The evolution of neuroimaging visualization tools.Neuropsychologia · 2025Article
- Benchmarking machine learning models in lesion-symptom mapping for predicting language outcomes in stroke survivors.Frontiers in neuroimaging · 2025Article
- Temporoparietal brain structures support sentence processing across the adult lifespan.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Syntactic Scrambling in Broca's Aphasia: A Turkish Sample.Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) · 2025Article
- A Rose by Any Other Name: Mapping Taxonomic and Thematic Naming Errors Poststroke.Journal of cognitive neuroscience · 2024Article
- Network-based statistics reveals an enhanced subnetwork in prefrontal cortex in mild cognitive impairment: a functional near-infrared spectroscopy study.Frontiers in aging neuroscience · 2024Article
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6 authors at 1 institution in 1 country.
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Abstract
introductionAphasia is a speech-language impairment commonly caused by damage to the left hemisphere. The neural mechanisms that underpin different types of aphasia and their symptoms are still not fully understood. This study aims to identify differences in resting-state functional connectivity between anomic and Broca's aphasia measured through resting-state functional magnetic resonance imaging (rs-fMRI).
methodsWe used the network-based statistic (NBS) method, as well as voxel- and connectome-based lesion symptom mapping (V-, CLSM), to identify distinct neural correlates of the anomic and Broca's groups. To control for lesion effect, we included lesion volume as a covariate in both the NBS method and LSM.
resultsNBS identified a subnetwork located in the dorsal language stream bilaterally, including supramarginal gyrus, primary sensory, motor, and auditory cortices, and insula. The connections in the subnetwork were weaker in the Broca's group than the anomic group. The properties of the subnetwork were examined through complex network measures, which indicated that regions in right inferior frontal sulcus, right paracentral lobule, and bilateral superior temporal gyrus exhibit intensive interaction. Left superior temporal gyrus, right postcentral gyrus, and left supramarginal gyrus play an important role in information flow and overall communication efficiency. Disruption of this network underlies the constellation of symptoms associated with Broca's aphasia. Whole-brain CLSM did not detect any significant connections, suggesting an advantage of NBS when thousands of connections are considered. However, CLSM identified connections that differentiated Broca's from anomic aphasia when analysis was restricted to a hypothesized network of interest. DISCUSSION: We identified novel signatures of resting-state brain network differences between groups of individuals with anomic and Broca's aphasia. We identified a subnetwork of connections that statistically differentiated the resting-state brain networks of the two groups, in comparison with standard CLSM results that yielded isolated connections. Network-level analyses are useful tools for the investigation of the neural correlates of language deficits post-stroke.
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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.