Connectivity of Implicit Statistical Learning Networks is Associated with Language Impairment Severity in Post-Stroke Aphasia

Stronger functional connectivity within implicit-statistical learning subnetworks is linked to milder aphasia severity in post-stroke aphasia, especially via right frontal cortex edges.

• Why it matters: Language rehabilitation depends on relearning cognitive-linguistic skills, yet it is unclear how implicit-statistical learning networks reorganize and relate to language impairment severity after stroke.
• What they did: Resting-state functional connectivity was compared in three ISL-associated subnetworks between post-stroke aphasia (n = 30) and neurologically healthy controls (n = 18), using graph theory metrics, and then correlated with aphasia severity.
• The result: Connectivity was weaker in PSA than controls for the language and salience subnetworks, not the cognitive control subnetwork, and edges within all three networks correlated with aphasia severity, particularly right frontal cortex.

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