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Related Experiment Video

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Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia

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Language network functional connectivity varies by aphasia type and severity.

Svetlana V Kuptsova¹, Arianna N LaCroix¹

¹Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN 47907, USA.

Neuroimage. Clinical

|July 7, 2026

Summary

This summary is machine-generated.

Aphasia network organization differs by aphasia type, not just severity. Analyzing functional connectivity in people with aphasia reveals distinct patterns for Broca's aphasia, suggesting type-specific recovery pathways.

Keywords:

Aphasia Aphasia severity Functional connectivity Resting-state fMRI Types of aphasia

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Area of Science:

Neuroscience
Neurolinguistics
Neuroimaging

Background:

Aphasia is increasingly viewed as a network disorder, not just focal damage.
Current studies often group individuals by severity, potentially masking differences in network organization across aphasia types.

Purpose of the Study:

To investigate how resting-state functional connectivity varies across different aphasia types.
To explore the relationship between aphasia severity and language network organization after left-hemisphere stroke.

Main Methods:

Analysis of resting-state fMRI data from 89 individuals in the chronic recovery stage from the Aphasia Recovery Cohort dataset.
Performed network-level and region-of-interest (ROI)-to-ROI functional connectivity analyses across 32 language regions.
Conducted lesion-overlap analyses to map group-level lesion distributions.

Main Results:

ROI-to-ROI analyses revealed significant heterogeneity in functional connectivity across aphasia subgroups.
Broca's aphasia and severe aphasia showed more convergent connectivity patterns compared to anomic, mild, and moderate aphasia groups.
Clearer functional connectivity patterns correlated with more convergent lesion distributions; milder Broca's aphasia showed stronger left-hemisphere and interhemispheric connectivity.

Conclusions:

Post-stroke language network organization is not uniform and varies significantly across different aphasia types.
Aphasia type, characterized by distinct clinical and lesion features, provides a more differentiated view of connectivity than severity alone.
Severity measures alone may not fully capture the complexity of language network reorganization in aphasia.