Abstract 53: Reorganization of Functional Language Networks Following Neonatal Arterial Ischemic Stroke
| Autor: | Pradeep Krishnan, Amanda Robertson, Zahra Emami, Benjamin T. Dunkley, Elizabeth Pang, Nomazulu Dlamini, Maggie Hess, Robyn Westmacott |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Stroke. 50 |
| ISSN: | 1524-4628 0039-2499 |
| DOI: | 10.1161/str.50.suppl_1.53 |
| Popis: | Introduction: Neonatal arterial ischemic stroke (NAIS) is the most common form of childhood stroke. Unlike adults with stroke, children with left middle cerebral artery (MCA) NAIS seldom become aphasic, although adolescence often reveals the emergence of higher-order language deficits. Functional language networks may be predictive of later-emerging language outcomes, and can aid to identify at-risk children with NAIS. Methods: Five neurotypical children (2F; 5 RH; mean 12.7 ± 2.6 years), and five children with unilateral-MCA NAIS (3F; 5 RH; mean 11.3 ± 2.0 years) listened to semantically correct and incorrect sentences while magnetoencephalography (MEG) was recorded. Task-related functional connectivity was calculated using the phase lag index (PLI) across regions of interest. The relationship between the functional brain networks and language skill was examined. Results: Neurotypical children showed increased global functional connectivity for semantically correct sentences 1.8 to 2.0 seconds from stimulus onset in the theta band (4-7 Hz; p p p Conclusions: These results suggest reorganization of expected unilateral and frontal language networks towards a bilateral and temporal distribution following stroke, with less reliance on traditional language nodes. Such reorganization may underlie the language ability trajectory of children with neonatal MCA stroke. Reorganization of functional brain networks may be used as a predictive marker for language development following neonatal stroke, which can ultimately guide precision medicine and improve long-term outcomes. |
| Databáze: | OpenAIRE |
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