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22. European Stroke Conference 900 Meta-analysis and reviews ALE meta-analysis of motor task-related activation in functional brain imaging after acute and chronic stroke I. FAVRE1, A. JAILLARD2, T. ZEFFIRO3, A. KRAINIK4, O. DETANTE5, M. HOMMEL65 CHU Grenoble, Grenoble, FRANCE1, CHU Grenoble, Grenoble, FRANCE2, Martinos Center, Massachussets General Hospital, Harvard University, Boston, USA3, , , 4, CHU Grenoble, Grenoble, FRANCE5, CHU Grenoble, Grenoble, FRANCE6 Over the two past decades, brain imaging studies have allowed to determine specific patterns of brain reorganization within the motor network after stroke. Nevertheless, the role of these patterns in relation to recovery remains to be clarified. To address time-related evolution of the motor network and the functional relevance of brain reor-ganization to recovery, we performed an activation likelihood estimation voxel-based meta-analysis (MTA) of functional imaging studies investigating motor-related brain activity after stroke. Among 635 PubMed search results through April 2012, 25 studies (255 patients with upper-limb impairment and 145 healthy subjects) reported standardized whole-brain group coordinates were included. Compared to healthy controls, patients showed additional activation of contralesional motor cortex early after stroke, abating over time, consistent with the restoration of interhemispheric balance. Moreover, early reorganization was evidenced in stroke patients with increased activation in supple-mentary motor area (SMA) and ipsilesional primary motor cortex (M1) as well as decreased activa-tion in the canonical ipsilateral quadrangular cerebellar lobule. Good motor outcome was associated with increased activation in SMA and ipsilesional M1. In contrast, bad outcome was associated with cerebellar vermal activation, reflecting behavioral compensatory strategies involving the fasti-gio- thalamo-cortical loop and reticulo-spinal tract. Plastic changes within S1M1, characterized by a ventrocaudal shift, correlated with good outcome, suggesting a vicariant process. In conclusion, this MTA showed that it is possible to use functional neuroimaging to assess post-stroke cerebral reorganization in relation to recovery and to determine biomarkers for stroke therapy. Future studies are needed to assess whether the biomarkers can predict recovery. 822 © 2013 S. Karger AG, Basel Scientific Programme


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