Early functional connectivity alterations in contralesional motor networks influence outcome after severe stroke: a preliminary analysis

• Published in: Scientific reports 2023-07, Vol.13 (1), p.11010-11010, Article 11010
• Main Authors: Braaß, Hanna, Gutgesell, Lily, Backhaus, Winifried, Higgen, Focko L., Quandt, Fanny, Choe, Chi-un, Gerloff, Christian, Schulz, Robert
• Format: Article
• Language: English
• Subjects: 631/378/1689/534; 692/617/375/534; Cerebral hemispheres; Humanities and Social Sciences; multidisciplinary; Neural networks; Neuroimaging; Science; Science (multidisciplinary); Somatosensory cortex; Stroke; Supplementary motor area
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-023-38066-0

Connectivity studies have significantly extended the knowledge on motor network alterations after stroke. Compared to interhemispheric or ipsilesional networks, changes in the contralesional hemisphere are poorly understood. Data obtained in the acute stage after stroke and in severely impaired patients are remarkably limited. This exploratory, preliminary study aimed to investigate early functional connectivity changes of the contralesional parieto-frontal motor network and their relevance for the functional outcome after severe motor stroke. Resting-state functional imaging data were acquired in 19 patients within the first 2 weeks after severe stroke. Nineteen healthy participants served as a control group. Functional connectivity was calculated from five key motor areas of the parieto-frontal network on the contralesional hemisphere as seed regions and compared between the groups. Connections exhibiting stroke-related alterations were correlated with clinical follow-up data obtained after 3–6 months. The main finding was an increase in coupling strength between the contralesional supplementary motor area and the sensorimotor cortex. This increase was linked to persistent clinical deficits at follow-up. Thus, an upregulation in contralesional motor network connectivity might be an early pattern in severely impaired stroke patients. It might carry relevant information regarding the outcome which adds to the current concepts of brain network alterations and recovery processes after severe stroke.